Brainiall がどのように比較するか - AI by AI
サイド・サイド・使用ケース、品質バランスマーク、および各 Brainiall AI サービス対 AWS、Google Cloud、Azure、およびカテゴリリーダーの専門家の価格。 フロフなし - 直接価格、測定可能な品質、競争相手がまだ前進している明確な格差。
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- 使用ケース 答えは「なぜこのAIを使用するのか」の1～2句です。
- 品質 各カテゴリ(クロスカテゴリではない)における0〜10のスコアは、公的基準から引き出されます. 競争相手が数字を出版しない場合、我々は実践者の合意と我々の独自の再生可能なテストを使用します。
- 価格 単位(画像、オーディオミン、ページなど)のリスト価格 USD. ブレイニアルの価格規則: 私たちの品質が低いときに90%割引 · 平等で80%割引 · 優れたときに50%割引 カテゴリ平均
- 判決 — リーダー つまり、我々は価格で前進し、品質でより平等である。 競争力 すなわち、明確な機能がまだルートマップに含まれています。 ガップ それは競争相手がリーダーであることを意味し、私たちはそれについて正直です。
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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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).
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 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.
品質ノート 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).
注記 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.
品質ノート 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.
注記 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.
品質ノート 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.
注記 All 18 doc types share existing Document Intelligence quotas. Powered by Brainiall Document Intelligence engine.
戦略的な取り組み
- ハイパースカラーは個々のAIサービスを提供しています。 Azureは2024年から2026年にかけてバックグラウンド削除、アノマリズム検出、カスタマイズ、メトリックアドバイザー、および v1-3.1 コンピュータビジョン API を退職しました。AWS は新しい顧客への予測を閉鎖し、Lex V1 を低下させています。
- 私たちはLLMで競い合わない。 私たちの内部ツールを強化するスマートゲートウェアは、顧客に直面する製品ではありません。私たちの商業カタログは、認識、スピーチ、文書、アイデンティティのAPIです。
- 発音評価は私たちの最も防御性の高い製品です。 電話PCC 0.590 (Light) と 0.682 (Premium) は、人間の間の登録契約(0.555)を超えています。AWS と GCP は全く同等のものはありません; Azure のオファーは無評価です. 私たちのルートマップは、SSL 機能合併(V8) と 損失を通じて電話PCC を 0.70+ に押します。
- Mistral OCR 3 (Dec 2026, $0.002/page SOTA) はカテゴリイベントです。 S4 と S8 は、原料 OCR API が含まれていないワークフロー機能(監査トラック、スケジュール認証、マニュアルレビューハウス)と組み合わせられます。
- 翻訳が終了しました。 (S10、スプリント205 - 2026年5月)。100言語の神経翻訳はBrainiall翻訳エンジンによってサポートされ、比較可能な品質でAWS/Azureの下で33〜50%でした。
- ストリーミング STT と Premium TTS はライブです。 WebSocket ストリーミング STT (ステージ 1 /v1/stt/stream) 船は 1.5 秒ごとに部分的にトランスクリプト; ステージ 2 (より高度な音声区間検出 + sub-500ms 最初の部分) は次のロードマップ アイテムです。
- 4つの新しいパッケージが Azure / AWS 機能の格差を閉鎖しました(2026 年 5 月)。 Speech Suite Pro(キャプション、スピーチ翻訳、PII編集、スピーチマーク)、NLP Pro(キーフレーズ、側面感覚、カスタマイズクラシファー、エンティティリンク、会話PII)、Doc AI Expansion(5ドックタイプ、レイアウト、スキルセット、スローザリー)、およびコンテンツセキュリティプロ(プロムトシールド、基礎性、保護された材料、マルチモダル理解) - すべて既存のSKUの使用、追加サブスクリプションなしに結びついている。
これらの比較を自分で試してみてください
このページのすべての基準は再生可能です 発音 PCC 数字は私たちの公開テストセット(私たちの公開テストセット)から来ています 独立した TTS 基準は独立しています 背景削除のスコアは 私たちの公共の方法論ページ.