Como o Brainiall se compara — IA por IA
Caso de uso lado a lado, benchmark de qualidade e preços de cada serviço Brainiall AI vs AWS, Google Cloud, Azure e especialistas líderes da categoria. Sem enrolação — preços diretos, qualidade mensurável e lacunas explícitas onde os concorrentes ainda estão à frente.
Como ler esta página
- Caso de uso — a resposta em 1-2 frases para "por que eu usaria essa IA?"
- Qualidade — Pontuação 0-10 dentro de cada categoria (não entre categorias), derivada de benchmarks públicos. Quando concorrentes não publicam números, usamos consenso de profissionais e nossos próprios testes reprodutíveis.
- Preço — preço de tabela por unidade (por imagem, por minuto de áudio, por página, etc.) em USD. Regra de preços do Brainiall: 90% de desconto quando a nossa qualidade é inferior · 80% de desconto na paridade · 50% de desconto quando superior em relação à média da categoria.
- Veredito — Líder significa que estamos à frente no preço e em paridade ou melhor na qualidade; Competitivo significa preço atrativo com recursos explícitos ainda no roadmap; Lacuna significa que os concorrentes lideram e somos honestos sobre isso.
S1 Background RemovalLeader
Drop-in replacement after Microsoft retired Azure Image Analysis 4.0 background removal
| Provider | Quality | F-max (DIS-TE1, DIS5K)higher = better | Price/image | vs market avg | Position |
|---|---|---|---|---|---|
| remove.bg HD | 9.0/10 | not published | $0.200 | 182% | — |
| Photoroom Pro | 8.5/10 | not published | $0.020 | 18% | — |
| Azure Image Analysis 4.0 | 0.0/10 | not published | $0 | — | — |
| Brainiall FAST | 7.5/10 | not published | $0.020(82% cheaper) | 18% | Parity |
| Brainiall HD | 9.0/10 | 0.866★ | $0.050(55% cheaper) | 45% | Superior |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Brainiall Cutout (HD tier) matches remove.bg on hair/edge fidelity at 4× lower price; Microsoft's own docs explicitly recommend Brainiall Cutout engine as their replacement after retirement.
Observação. Azure retired this product on March 31, 2025 — there is no AWS or GCP first-party equivalent. Brainiall has no hyperscaler competition in this category.
S2 Audio EnhancementLeader
Granular 4-stage pipeline: denoise + voice-isolation + cleanup + master
| Provider | Quality | Price/audio-min | vs market avg | Position |
|---|---|---|---|---|
| Resemble Enhance API (Replicate) | 8.0/10 | $0.021 | 102% | — |
| Krisp Pro (consumer subscription) | 7.5/10 | $0.020 | 98% | — |
| Adobe Podcast Speech Enhance | 8.5/10 | $0 | — | — |
| Brainiall DENOISE | 8.0/10 | $0.014(32% cheaper) | 68% | Parity |
| Brainiall FULL-PIPELINE | 8.5/10 | $0.025(22% more expensive) | 122% | Superior |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. AWS, GCP, Azure offer ZERO audio-enhancement primitives — this category is specialists-only. Krisp is consumer subscription; Adobe Podcast is free web tool but no API.
Observação. Granularity (per-stage billing) is unique vs single-knob competitors (Krisp, Resemble Enhance).
S3 Speaker DiarizationLeader
Standalone Brainiall Speaker ID engine — answer 'who said what' on any audio
| Provider | Quality | DER % (standard diarization benchmark)lower = better | Price/audio-min | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Transcribe (bundled w/ STT) | 7.5/10 | 11.1% | $0.024 | 113% | — |
| GCP Speech-to-Text (bundled) | 7.5/10 | 50.2% | $0.024 | 113% | — |
| Azure Speech (real-time + add-on) | 7.5/10 | not published | $0.022 | 104% | — |
| pyannote.ai (standalone) | 9.0/10 | 9.00%★ | $0.015 | 71% | — |
| Brainiall STANDALONE | 9.0/10 | 9.00%★ | $0.012(44% cheaper) | 56% | Superior |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. All hyperscalers force you to buy STT just to get diarization. Brainiall is one of two providers (with pyannote.ai itself) selling diarization as a primitive.
Observação. Same engine (Brainiall Speaker ID) as the open SOTA — production-grade and battle-tested.
Voice IDCompetitive
Standalone speaker verification (1:1) + identification (1:N) — the primitive AWS bundles into Connect and Azure put behind Limited Access
| Provider | Quality | Price/verification | vs market avg | Position |
|---|---|---|---|---|
| AWS Connect Voice ID | 8.0/10 | $0.025 | 143% | — |
| Azure Speaker Recognition | 8.0/10 | $0.010 | 57% | — |
| Brainiall STANDARD | 8.0/10 | $0.0075(57% cheaper) | 43% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. AWS only sells voice biometrics inside Amazon Connect (per-minute, contact-center oriented); Microsoft moved Speaker Recognition to Limited Access (approval required). Brainiall exposes enroll / verify / identify directly at a flat per-verification price — no platform to adopt, instant API key.
Observação. Lives in the same Brainiall Speaker AI service as Diarization (Brainiall Voiceprint engine). Only an irreversible voiceprint embedding is stored — never the raw audio. Consent for biometric voiceprints is a Terms-of-Service attestation, the same model AWS uses.
S4 PDF-to-MarkdownCompetitive
Brainiall Document Reader engine for layout-aware document conversion
| Provider | Quality | olmOCR-Bench score (pass-rate)higher = better | Price/page | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Textract DetectDocumentText | 7.5/10 | not published | $0.0015 | 40% | — |
| GCP Document AI Layout Parser | 8.0/10 | not published | $0.010 | 267% | — |
| Azure Document Intelligence (OCR) | 8.0/10 | not published | $0.0015 | 40% | — |
| Mistral OCR 3 (Dec 2026) | 9.5/10 | 78.0★ | $0.0020 | 53% | — |
| Brainiall STANDARD | 8.0/10 | not published | $0.0010(73% cheaper) | 27% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Brainiall Document Reader engine (production-grade engine) excels on technical docs with code, math, and tables. Mistral OCR 3 is a 2026 newcomer with SOTA quality at competitive price.
Observação. Strategic note: Mistral OCR 3 ($0.002/page SOTA) is the category's existential threat. Brainiall response: bundle workflow features (audit trail, schema-driven extraction) that Mistral does not ship.
S5 Agent MemoryCompetitive
Brainiall Memory embeddings + vector retrieval — turn-key memory for agents
| Provider | Quality | Retrieval avg (standard embedding-retrieval benchmark, nDCG@10)higher = better | Price/M-tokens | vs market avg | Position |
|---|---|---|---|---|---|
| Cohere Embed 4 | 9.0/10 | 61.0 | $0.120 | 1% | — |
| Voyage 4 | 9.5/10 | 66.0★ | $0.180 | 1% | — |
| Jina v3 | 8.5/10 | 53.9 | $0.020 | 0% | — |
| Azure AI Search (Basic SU) | 8.0/10 | not published | $74.00 | 398% | — |
| Brainiall STANDARD | 8.0/10 | 51.7 | $0.020(100% cheaper) | 0% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Brainiall Memory engine has solid industry retrieval benchmarks scores; Voyage/Cohere edge on retrieval quality but at 6-9× the price. For memory and RAG use cases, Brainiall Memory engine is 'good enough' at lowest price tier.
Observação. Hyperscaler equivalents (Azure AI Search, GCP Vertex Vector Search) are full retrieval engines — different category, much higher cost.
S6 Identity VerificationCompetitive
Face detection + KYC liveness gate (auth-proxy v8 strength tiers)
| Provider | Quality | AP (standard face-detection benchmark, hard val)higher = better | Price/verification | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Rekognition (face detect) | 8.0/10 | not published | $0.0010 | 0% | — |
| GCP Vision (face detect) | 7.5/10 | not published | $0.0015 | 0% | — |
| Azure Face (detect + liveness GA) | 9.0/10 | not published | $0.0010 | 0% | — |
| Sumsub (full KYC) | 9.5/10 | not published | $1.35 | 222% | — |
| Onfido (full KYC) | 9.0/10 | not published | $1.50 | 246% | — |
| Veriff (full KYC) | 9.0/10 | not published | $0.800 | 131% | — |
| Brainiall STANDARD | 8.0/10 | 0.853 AP★ | $0.00080(100% cheaper) | 0% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Face detection only — comparable to hyperscaler primitives. Full-KYC providers (Sumsub/Onfido/Veriff) bundle doc OCR + sanctions/PEP screening + manual review at $0.65-2.50/verification — different scope.
Observação. Roadmap: doc OCR + sanctions screening to reach Sumsub/Onfido feature parity.
S7 Image ModerationCompetitive
NSFW + violence detection for UGC platforms and marketplaces
| Provider | Quality | NSFW accuracy (third-party / vendor-self-reported)higher = better | Price/image | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Rekognition Moderation v7 | 9.0/10 | 95.0% | $0.0010 | 80% | — |
| GCP Vision SafeSearch | 7.5/10 | 97.5% | $0.0015 | 120% | — |
| Azure Content Safety (image) | 8.5/10 | 97.6% | $0.0015 | 120% | — |
| Hive Visual Moderation | 9.5/10 | 99.6%★ | $0.0010 | 80% | — |
| Brainiall STANDARD | 8.0/10 | not published | $0.00080(36% cheaper) | 64% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Hive is the category leader with 25+ harm classes and $100M+ ARR. AWS Rekognition v7 added a 3-tier taxonomy with 26 new labels in 2025. Brainiall covers the high-volume use cases (NSFW + violence) at competitive price.
Observação. Roadmap: expand harm taxonomy + add 0-7 severity scoring (Azure Content Safety parity).
S8 Document AICompetitive
End-to-end Brainiall Form Parser engine OCR + structured field extraction (no post-processing)
| Provider | Quality | F1 (standard document-extraction benchmark, field-level)higher = better | Price/page | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Textract Analyze (Forms+Tables+Queries) | 9.0/10 | not published | $0.070 | 150% | — |
| GCP Document AI Form Parser | 9.0/10 | not published | $0.065 | 139% | — |
| Azure Document Intelligence (custom) | 9.0/10 | not published | $0.050 | 107% | — |
| Mistral OCR 3 (Dec 2026) | 9.5/10 | not published | $0.0020 | 4% | — |
| Brainiall STANDARD | 8.5/10 | 0.840 F1★ | $0.0050(89% cheaper) | 11% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Brainiall Form Parser engine returns plain text + structured JSON in a single forward pass. Hyperscalers charge $50-70/1k pages for the same — Brainiall is 10-15× cheaper before considering Mistral.
Observação. Strategic note: Mistral OCR 3 ($0.002/page SOTA, Dec 2026) is rewriting price expectations. Brainiall plan: bundle workflow (schema validation, audit trails, manual-review hooks) that Mistral does not include.
S9 Vision LabelsLeader
Brainiall Vision Tagger engine caption + Brainiall object detection module open-vocabulary detection
| Provider | Quality | mAP@[0.5:0.95] (standard object-detection benchmark)higher = better | Price/image | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Rekognition DetectLabels | 8.0/10 | not published | $0.0010 | 86% | — |
| GCP Vision Label Detection | 8.0/10 | 64.7 mAP★ | $0.0015 | 129% | — |
| Azure Image Analysis (tags+caption) | 8.5/10 | not published | $0.0010 | 86% | — |
| Brainiall STANDARD | 8.5/10 | 43.4 mAP | $0.00080(31% cheaper) | 69% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Brainiall Vision Tagger engine (the same Microsoft model Azure ships) + Brainiall object detection module offers richer output: caption + grounded boxes vs hyperscalers' flat label lists. GCP per-feature multi-billing trap means a 3-feature image costs $4.50/1k there — Brainiall flat $/call wins on multi-task.
NLP SuiteCompetitive
Toxicity · Sentiment · NER · PII · Language detection (5 endpoints, 1 SKU)
| Provider | Quality | NER F1 (standard NER benchmark, test span)higher = better | Price/1k-records | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Comprehend (each op) | 8.5/10 | not published | $0.100 | 14% | — |
| GCP Natural Language API | 8.5/10 | not published | $1.00 | 143% | — |
| Azure AI Language | 9.0/10 | not published | $1.00 | 143% | — |
| Brainiall STANDARD | 7.5/10 | 91.3 F1★ | $0.050(93% cheaper) | 7% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Price-competitive across all five primitives. Known depth gaps: Sentiment is 2-class (vs Azure 5-class incl. neutral/mixed); PII coverage relies on regex + BERT-NER (vs Azure ~50+ jurisdictional entity types). Roadmap addresses both.
Observação. Hyperscaler trick to know: each Comprehend / GCP NLP operation bills as a separate transaction — running sentiment + NER on the same doc costs 2×. Brainiall counts as one call.
Pronunciation AssessmentLeader
Phone-level scoring that exceeds human inter-annotator agreement
| Provider | Quality | Phone PCC (standard pronunciation-scoring benchmark)higher = better | Price/minute | vs market avg | Position |
|---|---|---|---|---|---|
| AWS (no offering) | 0.0/10 | not published | $0 | — | — |
| GCP (no offering) | 0.0/10 | not published | $0 | — | — |
| Azure Pronunciation Assessment | 8.5/10 | not published | $0.022 | 61% | — |
| Speechace (B2B API) | 8.5/10 | not published | $0.050 | 139% | — |
| ELSA Speak (consumer + API) | 8.0/10 | not published | $0 | — | — |
| Brainiall LIGHT | 9.0/10 | 0.590 PCC | $0.010(72% cheaper) | 28% | Superior |
| Brainiall PREMIUM | 9.5/10 | 0.682 PCC★ | $0.040(11% more expensive) | 111% | Superior |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Human-exceeding phone-level accuracy (Light, in production) and 0.682 (Premium LoRA Exp 1) — both EXCEED human inter-annotator agreement (0.555). Premium tier already surpasses the published SOTA (HIA 0.657) by +2.5 percentage points.
Observação. Zero AWS or GCP equivalent globally. Azure offers 33 locales without publishing PCC. ELSA and Speechace are paywalled or quote-only. This is Brainiall's most defensible product.
Speech-to-TextCompetitive
Two tiers: Brainiall Speech Edge (17 MB on-device) + Brainiall Speech Pro (cloud, 99 languages + speaker diarization)
| Provider | Quality | WER % (standard English clean-speech benchmark)lower = better | Price/audio-min | vs market avg | Position |
|---|---|---|---|---|---|
| Deepgram Nova-3 (batch) | 9.5/10 | not published | $0.0043 | 34% | — |
| AssemblyAI Universal-Streaming | 9.0/10 | not published | $0.0025 | 20% | — |
| AWS Transcribe (incl. diarization) | 8.0/10 | not published | $0.024 | 189% | — |
| GCP Chirp 3 | 9.0/10 | not published | $0.016 | 126% | — |
| Azure Speech (real-time) | 8.5/10 | not published | $0.017 | 131% | — |
| Brainiall EDGE | 6.5/10 | 13.0% | $0.0010(92% cheaper) | 8% | Inferior |
| Brainiall PRO | 8.5/10 | 2.70%★ | $0.0050(61% cheaper) | 39% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Brainiall Speech Pro achieves WER 7.4% multilingual / 2.7% clean-speech benchmarks — competitive with Deepgram Nova-3 (5.26%) and ahead of AWS Transcribe (5-8% typical). Edge tier (17 MB) trades raw accuracy for offline / on-device deployability.
Observação. Streaming WebSocket endpoint LIVE (Phase 1, /v1/stt/stream): partial transcripts every 1.5s. See /products/streaming-stt for details. Phase 2 roadmap: smarter voice-activity detection + 500ms flush for sub-500ms first partial.
Text-to-SpeechLeader
Brainiall Voice — Edge tier (12 English voices, 24 kHz) + Pro tier (zero-shot cloning, 99 languages, 48 kHz studio quality, emotional control)
| Provider | Quality | Elo (public TTS-quality leaderboard, blind A/B)higher = better | Price/M-chars | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Polly Neural | 8.5/10 | not published | $16.00 | 30% | — |
| GCP Neural2 | 8.5/10 | not published | $16.00 | 30% | — |
| Azure Neural HD | 9.0/10 | not published | $22.00 | 42% | — |
| ElevenLabs Multilingual v2 | 9.5/10 | 1528 Elo★ | $180.00 | 341% | — |
| Deepgram Aura-2 | 8.5/10 | not published | $30.00 | 57% | — |
| Brainiall EDGE | 8.5/10 | 1500 Elo | $15.00(72% cheaper) | 28% | Parity |
| Brainiall PRO | 9.4/10 | not published | $54.00(2% more expensive) | 102% | Superior |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Edge tier matches Polly Neural and Deepgram Aura-2 quality on English at 90% lower price. Pro tier closes the multi-language and voice-cloning gap with ElevenLabs Multilingual v2 — parity quality at 70% lower price (cloning included free, no per-clone training fee).
Observação. Pro tier (LIVE) closes the multi-language gap (99 languages) and voice-cloning gap with zero-shot cloning from a 5-second reference clip. See /products/voice-pro for the dedicated landing.
S10 TranslationCompetitive
100-language neural machine translation (Brainiall Translate engine) — closes the only commodity gap where 100% of hyperscalers compete
| Provider | Quality | Price/M-chars | vs market avg | Position |
|---|---|---|---|---|
| AWS Translate | 8.5/10 | $15.00 | 86% | — |
| GCP Cloud Translation NMT | 8.5/10 | $20.00 | 114% | — |
| Azure Translator | 8.5/10 | $10.00 | 57% | — |
| DeepL API | 9.5/10 | $25.00 | 143% | — |
| Brainiall STANDARD | 8.0/10 | $5.00(71% cheaper) | 29% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. Backed by Brainiall Translate engine (Apache-equivalent 100 languages). Quality is solid for European pairs; weaker for very low-resource pairs (Quechua, Ainu, etc.). DeepL leads on European-language nuance but at 5× the price; AWS/GCP/Azure are roughly comparable on quality.
Observação. This was the only commodity gap where every hyperscaler had a product and we did not — closed in May 2026. Backed by self-hosted Brainiall Translate engine on our production infrastructure (no LLM hidden under the hood); pricing 33-50% under AWS/Azure with comparable quality.
S11 Text IntelligenceCompetitive
Summarization (extractive & abstractive) + grounded Q&A — billed per 1,000 characters, no resource to provision
| Provider | Quality | Price/1K chars | vs market avg | Position |
|---|---|---|---|---|
| Azure AI Language — Summarization | 8.0/10 | $0.0010 | 81% | — |
| AWS Comprehend (no first-party summarization) | 7.0/10 | $0.0012 | 97% | — |
| Google Cloud Natural Language (no summarization) | 7.0/10 | $0.0015 | 122% | — |
| Brainiall STANDARD | 8.5/10 | $0.0010(19% cheaper) | 81% | Superior |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. Azure is the only hyperscaler with first-party summarization; AWS Comprehend and Google Cloud Natural Language do entity/sentiment/syntax analysis but not summarization. Brainiall ships extractive AND abstractive summarization plus grounded Q&A (answers come only from the supplied text, with the supporting sentence(s) located in your document) — billed per 1,000 characters, no Azure/AWS/GCP resource to provision.
Observação. Powered by the Brainiall Text Intelligence engine. Extractive mode never paraphrases; Q&A returns 'found: false' rather than guessing when the text doesn't contain the answer.
S12 Knowledge APICompetitive
Managed RAG: ingest documents into a namespace, then query — retrieval plus a grounded, cited answer in one call, no vector DB to run
| Provider | Quality | Retrieval avg (standard embedding-retrieval benchmark, nDCG@10)higher = better | Price/query | vs market avg | Position |
|---|---|---|---|---|---|
| Vectara (managed RAG) | 8.0/10 | not published | $0.010 | 83% | — |
| Pinecone (vector DB you operate) | 8.5/10 | not published | $0.0080 | 67% | — |
| Azure AI Search (+ your own generation) | 8.0/10 | not published | $0.010 | 83% | — |
| Glean (enterprise work-search) | 9.0/10 | not published | $0.020 | 167% | — |
| Brainiall STANDARD | 8.5/10 | 51.7★ | $0.0050(58% cheaper) | 42% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Pinecone is a vector database you operate (you bring embeddings, write retrieval, call an LLM yourself); Vectara and Glean are managed but enterprise-priced and search-platform-shaped; Azure AI Search gives you retrieval and you compose generation separately. Brainiall ships ingest and query as two REST calls — retrieval AND a grounded, cited answer in one query call — billed per call, with a self-serve key and no infrastructure to run.
Observação. Built on the Brainiall Memory engine (vector store) with optional Brainiall Reranker engine reranking and Brainiall Knowledge engine answer synthesis. Namespaces isolate knowledge bases; answers flag the passages they cited; if the passages don't contain the answer it returns found:false rather than guessing.
S13 Document IntelligenceCompetitive
Document image -> structured fields (6 doc types), document Q&A, or table extraction — one endpoint family, one per-page price
| Provider | Quality | Price/page | vs market avg | Position |
|---|---|---|---|---|
| AWS Textract (AnalyzeDocument / AnalyzeExpense / AnalyzeID) | 8.5/10 | $0.050 | 120% | — |
| Azure AI Document Intelligence (prebuilt models) | 8.5/10 | $0.010 | 24% | — |
| Google Document AI (specialized processors) | 8.5/10 | $0.065 | 156% | — |
| Brainiall STANDARD | 8.0/10 | $0.010(76% cheaper) | 24% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. The hyperscaler IDP services are powerful but priced per feature and per document type — OCR is one rate, forms another, tables another, expense/ID parsers another again, and you stitch the calls together yourself. Brainiall folds recognition, doc-type-aware field extraction (receipt / invoice / id / contract / form / generic), document Q&A and table extraction into one endpoint family at a single $0.01/page price ($0.012/page for table extraction), self-serve from the first call.
Observação. Powered by the Brainiall Document Intelligence engine (recognition by the Brainiall OCR engine, tables by the Brainiall Table Extractor engine). doc_type selects the field schema; a page with no readable text returns 422 rather than a guess. Multi-page documents are processed one page image at a time.
S14 Fraud ScoreCompetitive
Event signals -> fraud probability + explainable risk factors + a recommended allow/review/deny decision, billed per scored event, with a /feedback loop
| Provider | Quality | Price/event | vs market avg | Position |
|---|---|---|---|---|
| AWS Fraud Detector (you train + host the model) | 8.0/10 | $0.020 | 50% | — |
| Stripe Radar for Fraud Teams (Stripe payments only) | 8.0/10 | $0.050 | 125% | — |
| Sift / Kount / Signifyd (enterprise, % of GMV) | 8.5/10 | $0.050 | 125% | — |
| Brainiall STANDARD | 7.5/10 | $0.0075(81% cheaper) | 19% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. AWS Fraud Detector makes you train and host a model yourself; Stripe Radar only scores Stripe-processed payments; Sift/Kount/Signifyd/Riskified are enterprise platforms priced as a percentage of GMV behind a sales motion. Brainiall ships a flat per-event REST call ($0.0075/event) — send signals, get a 0-1 fraud probability + risk level + the exact risk factors + a recommended allow/review/deny decision — with a /feedback endpoint to re-calibrate to your own labels. Self-serve from the first call; /feedback is unmetered.
Observação. Powered by the Brainiall Fraud engine — a calibrated additive risk model whose score is fully explained by the returned risk_factors (every signal's contribution is itemised; positive = increases risk, negative = a mitigant). Decision bands are tunable per request. Every input field is optional.
S15 Content AuthenticityCompetitive
Image / video / audio -> AI-generated likelihood + explainable forensic & provenance signals, plus a /provenance endpoint that extracts embedded C2PA Content Credentials, billed per analyzed asset
| Provider | Quality | Price/asset | vs market avg | Position |
|---|---|---|---|---|
| Reality Defender (enterprise deepfake platform, annual contract) | 8.5/10 | $0.050 | 130% | — |
| Hive AI (AI-generated content classifier, volume tiers) | 8.0/10 | $0.015 | 39% | — |
| Sensity AI (deepfake detection platform, annual contract) | 8.0/10 | $0.050 | 130% | — |
| Brainiall STANDARD | 7.0/10 | $0.010(74% cheaper) | 26% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. Reality Defender and Sensity are enterprise deepfake platforms sold on annual contracts; Hive bundles AI-generated detection into a volume-priced moderation API; the hyperscalers ship no dedicated authenticity or C2PA provenance API. Brainiall is a flat per-asset REST call ($0.01/asset) across image, video, audio and provenance, self-serve from the first call. It is honest about scope: deterministic C2PA / metadata provenance is authoritative, while pixel-only forensics are explainable indicators — the engine never asserts a definitive AI-generated verdict without provenance.
Observação. Powered by the Brainiall Authenticity engine — a pure-algorithm forensic + provenance model whose score is fully explained by the returned signals (each tagged provenance or forensic; positive = synthetic, negative = authentic). No GPU, no opaque classifier.
S16 DubbingCompetitive
Video in -> fully dubbed video out in the target language, original timing preserved, with a per-segment transcript and translation; an async job billed per minute of processed video
| Provider | Quality | Price/minute | vs market avg | Position |
|---|---|---|---|---|
| ElevenLabs Dubbing (credit-metered studio product + API) | 8.5/10 | $1.00 | 109% | — |
| Rask AI (subscription video-localisation suite) | 8.0/10 | $0.750 | 82% | — |
| HeyGen (AI-avatar video platform, dubbing is one feature) | 8.0/10 | $1.00 | 109% | — |
| Brainiall STANDARD | 7.0/10 | $0.300(67% cheaper) | 33% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. ElevenLabs Dubbing is a credit-metered studio product; Rask is a subscription localisation suite; HeyGen is an avatar-video platform where dubbing is one feature; the hyperscalers ship transcription, translation and speech synthesis as separate APIs but no end-to-end dubbing call. Brainiall is one async REST job at a flat per-minute price ($0.30/min), self-serve from the first call. It is honest about scope: it preserves the original timing and returns a per-segment transcript, but it is a straight re-voicing — not lip-synced avatar video.
Observação. Powered by the Brainiall Dubbing engine — a pure-orchestration pipeline that transcribes, translates, synthesizes, time-fits and remuxes. No new model; the /preview endpoint and job-status polling are free, so you only pay per dub created.
S17 Web APICompetitive
Scrape a URL into clean Markdown, crawl a site, map its URLs or run a web search, one REST call each, billed per operation and ethical by construction
| Provider | Quality | Price/operation | vs market avg | Position |
|---|---|---|---|---|
| Firecrawl (credit-metered scrape + crawl API) | 8.5/10 | $0.0030 | 75% | — |
| ScrapingBee (per-call HTML-fetch API) | 8.0/10 | $0.0040 | 100% | — |
| Apify (compute-unit automation platform) | 8.0/10 | $0.0050 | 125% | — |
| Brainiall STANDARD | 7.0/10 | $0.0020(50% cheaper) | 50% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. Firecrawl is the category leader, with browser rendering for JavaScript-heavy pages; ScrapingBee and Apify are mature per-call and compute-unit platforms. Brainiall Web is HTTP-first: it excels at server-rendered documentation, news, blog and reference pages and returns clean Markdown ready for an LLM, but a page that renders its body entirely in the browser returns the static HTML the server sent. It is honest about that scope.
Observação. Powered by the Brainiall Web engine, a pure-orchestration pipeline that fetches, isolates the main content and converts to Markdown. No new model. Ethical by construction: robots.txt and crawl-delay are honored, private and loopback addresses are refused, and bot-detection challenges are reported as blocked, never bypassed.
S18 Speech-to-SpeechCompetitive
Spoken clip in, translated spoken audio out, with the source transcript and the translation; an async REST job billed per translation job
| Provider | Quality | Price/job | vs market avg | Position |
|---|---|---|---|---|
| Azure AI Speech (real-time speech-translation SDK) | 8.5/10 | $0.050 | 100% | — |
| Google Cloud (Translation API + Text-to-Speech, chained) | 8.0/10 | $0.050 | 100% | — |
| AWS (Transcribe + Translate + Polly, three separate APIs) | 8.0/10 | $0.050 | 100% | — |
| Brainiall STANDARD | 7.0/10 | $0.040(20% cheaper) | 80% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. Azure AI Speech ships speech translation as a real-time streaming SDK inside a broad speech service; Google and AWS ship no single speech-to-speech call, so you chain translation and synthesis, or transcription plus translation plus synthesis, yourself. Brainiall is one async REST job at a flat per-job price, self-serve from the first call. It is honest about scope: it returns a clean re-voicing in a natural synthesized voice — not a clone of the original speaker — and it runs as an asynchronous job, not a real-time stream.
Observação. Powered by the Brainiall Speech-to-Speech engine, a pure-orchestration pipeline that transcribes, translates and synthesizes. No new model; job-status polling is free, so you only pay per translation created.
S19 LLM ObservabilityCompetitive
Trace every LLM call, aggregate latency / token / cost / error stats, score responses with heuristic evals; a REST ingest API billed per operation
| Provider | Quality | Price/operation | vs market avg | Position |
|---|---|---|---|---|
| Langfuse (open-source platform + hosted cloud) | 8.5/10 | $0.00030 | 82% | — |
| Helicone (proxy in front of your LLM traffic) | 8.0/10 | $0.00030 | 82% | — |
| LangSmith (tracing tied to one orchestration framework) | 8.5/10 | $0.00050 | 136% | — |
| Brainiall STANDARD | 7.0/10 | $0.00020(45% cheaper) | 55% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.
Observação sobre qualidade. Langfuse, Helicone and LangSmith are mature, full-featured observability platforms with rich dashboards, SDKs and integrations. Brainiall LLM Observability is a focused REST ingest API — trace, aggregate stats and heuristic evals — not a dashboard product, and it is honest about that scope. Its advantage is shape, not feature count: it is framework-agnostic, never proxies your traffic, and shares one API key with the rest of the catalog.
Observação. Powered by the Brainiall LLM Observability engine, a pure-code trace store and rule-based eval suite. No new model; reading aggregate stats is never metered, so a dashboard can poll for free — you only pay to ingest, query or evaluate.
Bundle A Speech Suite ProCompetitive
Captions (SRT/VTT) + audio-to-audio Speech Translation + transcript PII redaction + TTS speech marks + Document Translation — bundled with existing Brainiall Speech AI usage, no add-on charge
| Provider | Quality | WER % (captioning, standard English clean-speech benchmark proxy)lower = better | Price/minute / call | vs market avg | Position |
|---|---|---|---|---|---|
| AWS (Polly Speech Marks + Transcribe PII) | 8.5/10 | not published | $0.024 | 109% | — |
| Azure (Speech Captioning + Speech Translation) | 8.5/10 | not published | $0.020 | 91% | — |
| Brainiall BUNDLED | 8.0/10 | 2.70%★ | $0.012(45% cheaper) | 55% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Five Polly/Transcribe/Translator-equivalent capabilities bundled with Brainiall Speech AI usage — clients pay only the underlying Speech AI minute. SRT/VTT captions, audio-in/audio-out Speech Translation, transcript PII redaction (13+ types), Polly-compatible Speech Marks, and Document Translation that preserves paragraph structure.
Observação. All five share existing Speech AI / Document Intelligence quotas. No bundle subscription.
Bundle B NLP ProCompetitive
Key Phrases + Aspect Sentiment + Custom Classifier (zero-shot) + Entity Linking (public knowledge base) + Conversational PII — five Azure AI Language / AWS Comprehend gaps closed in one call
| Provider | Quality | NER F1 (standard NER benchmark, entity-linking backbone)higher = better | Price/record | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Comprehend (key phrases / targeted sentiment / custom classification with training) | 8.0/10 | not published | $0.0030 | 120% | — |
| Azure AI Language (custom classification requires training jobs) | 8.5/10 | not published | $0.0020 | 80% | — |
| Brainiall STANDARD | 8.0/10 | 91.3 F1★ | $0.0010(60% cheaper) | 40% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Custom Classification is zero-shot — no training data, no upload, define labels at call time. Entity Linking adds a canonical public-knowledge-base Q-id to every NER hit. Conversational PII tracks the same entity across turns with a stable entity_id. Pure-Python key-phrase extraction keeps cost predictable.
Observação. All five bundled with the NLP Suite. Brainiall Key Phrases / Aspect Sentiment / Custom Classifier / Entity Linker / Conversational PII engines.
Bundle C Document AI ExpansionCompetitive
+5 prebuilt doc types (business card, W-2, health card, mortgage, pay stub) + Markdown Layout + Skillsets enrichment + Custom Translation Glossary — catches up to AWS Textract Specialty and Azure Doc Intelligence
| Provider | Quality | F1 (standard document-extraction benchmark, engine-family proxy)higher = better | Price/page | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Textract Specialty (Lending / Invoice / Receipt / ID) | 8.5/10 | not published | $0.050 | 167% | — |
| Azure AI Document Intelligence (~15 prebuilts + Layout + Custom) | 9.0/10 | not published | $0.010 | 33% | — |
| Brainiall STANDARD | 8.0/10 | 0.840 F1★ | $0.015(50% cheaper) | 50% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. 11 prebuilt doc-type schemas now (6 baseline + 5 added). Markdown Layout returns LLM-friendly structure. Skillsets pipeline runs OCR + entities + language + key phrases + sentiment in one call. Per-call Translation Glossary pins brand names and jargon. IDP is the fastest-growing AI category (~33% CAGR).
Observação. Powered by Brainiall Doc Intelligence (extended) + Brainiall Doc Layout engine + Brainiall Skillsets engine + Brainiall Custom Glossary.
Bundle D Content Safety ProCompetitive
Prompt Shields (jailbreak / injection detection) + Groundedness (hallucination check) + Protected Material (copyrighted text) + Multimodal Content Understanding — Azure AI Content Safety's four flagship features
| Provider | Quality | jailbreak-detection accuracy (3rd-party audit)higher = better | Price/request | vs market avg | Position |
|---|---|---|---|---|---|
| Azure AI Content Safety (Prompt Shields / Groundedness / Protected Material / Content Understanding) | 8.5/10 | 89.0%★ | $0.0010 | 80% | — |
| AWS Bedrock Guardrails (prompt filtering only — no public Groundedness or Protected Material) | 7.0/10 | not published | $0.0015 | 120% | — |
| Brainiall STANDARD | 8.0/10 | not published | $0.00050(60% cheaper) | 40% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. Prompt Shields uses LLM-judge classification across known attack patterns (DAN, prompt injection, data exfiltration, impersonation). Groundedness checks claims vs source text with supporting span. Protected Material starts with a curated regex DB and grows. Multimodal Content Understanding routes by modality and extracts user-defined schemas.
Observação. All four share existing text-intelligence + document-intelligence quotas. Brainiall Prompt Shield / Groundedness / Protected Material / Content Understanding engines.
Bundle E Document AI VerticalsCompetitive
18 pre-built industry document schemas in 3 packs — Insurance (ACORD, claims, policy declarations, loss runs), Healthcare (CMS-1500, EOB, superbills, prior auth, lab reports), Finance & Tax (W-2, 1040, Schedule C, K-1, bank statements, balance sheets) — vs hand-written Textract Queries and per-type Azure custom models
| Provider | Quality | F1 (standard document-extraction benchmark, engine-family proxy)higher = better | Price/page | vs market avg | Position |
|---|---|---|---|---|---|
| AWS Textract Queries (no vertical schemas — one query per field, hand-written) | 8.0/10 | not published | $0.050 | 115% | — |
| Azure AI Document Intelligence (custom model trained per doc type) | 9.0/10 | not published | $0.050 | 115% | — |
| Google Document AI (specialized processors, enterprise contract) | 8.5/10 | not published | $0.030 | 69% | — |
| Brainiall STANDARD | 8.0/10 | 0.840 F1★ | $0.025(42% cheaper) | 58% | Parity |
Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries. KPI values come from public leaderboards and vendor benchmarks; “not published” means the vendor has not disclosed a number on this dataset.
Observação sobre qualidade. 18 curated vertical schemas — every field pre-named and typed for the document. No template drawing, no per-type model training round-trip. One extract call returns typed JSON. IDP is the fastest-growing AI category (~33% CAGR), and BFSI + healthcare are its biggest verticals.
Observação. All 18 doc types share existing Document Intelligence quotas. Powered by Brainiall Document Intelligence engine.
Conclusões estratégicas
- Hyperscalers estão abandonando serviços de IA individuais. A Azure descontinuou Background Removal, Anomaly Detector, Personalizer, Metrics Advisor e a Computer Vision API v1-3.1 entre 2024 e 2026. A AWS fechou o Forecast para novos clientes e está descontinuando o Lex V1. Eles estão consolidando tudo em plataformas LLM (Bedrock / Vertex / Foundry). Esse vácuo é exatamente onde especialistas como a Brainiall se encaixam.
- Nós não competimos em LLMs. O smart-gateway que sustenta nosso ferramental interno não é um produto voltado ao cliente. Nosso catálogo comercial são APIs de percepção, fala, documentos e identidade.
- O Brainiall Pronunciation é nosso produto mais defensável. Phone PCC 0,590 (Light) e 0,682 (Premium) superam a concordância entre anotadores humanos (0,555). AWS e GCP não têm equivalente; a oferta da Azure não tem benchmark. Nosso roadmap leva o Phone PCC a ~0,70+ via fusão de features SSL (V8) e loss .
- O Mistral OCR 3 (dez/2026, US$ 0,002/página, SOTA) é um evento de categoria. O S4 e o S8 serão reprecificados e empacotados com recursos de workflow (trilha de auditoria, validação de schema, hooks de revisão manual) que a API de OCR pura não inclui.
- A tradução foi encerrada (S10. Tradução neural em 100 idiomas com o motor Brainiall Translate; 33-50% mais barato que AWS/Azure com qualidade comparável. Era a última lacuna de commodity em que todo hyperscaler tinha produto e nós não.
- STT em streaming e TTS Premium estão no ar. STT por streaming via WebSocket (Fase 1, /v1/stt/stream) entrega transcrições parciais a cada 1,5s; Fase 2 (detecção de atividade de voz mais inteligente + primeiro parcial sub-500ms) é o próximo item do roadmap. O tier Voice Pro (clonagem zero-shot, 99 idiomas, 48 kHz, controle emocional) foi lançado no a 70% abaixo da ElevenLabs.
- Quatro novos pacotes fecharam lacunas de recursos do Azure / AWS (maio de 2026). Speech Suite Pro (legendas, tradução de fala, redação de PII, speech marks), NLP Pro (key phrases, sentimento por aspecto, classificador customizado, entity linking, PII em conversas), Document AI Expansion (+5 tipos de documento, layout, skillsets, glossário) e Content Safety Pro (prompt shields, groundedness, material protegido, compreensão multimodal) — tudo incluído no uso dos SKUs existentes, sem assinatura adicional.
Tente qualquer uma dessas comparações por conta própria
Cada benchmark nesta página é reproduzível. Os números de PCC de pronúncia vêm do nosso conjunto de testes público. Os benchmarks de TTS independentes são independentes. As pontuações de remoção de fundo estão em nossa página pública de metodologia.
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