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About Brainiall

Specialist AI APIs for regulated workloads, built transparently.

Who builds this

Brainiall is built by Fabio Suizu (founder), an engineer based in São Paulo, Brazil. The company was founded in 2024 to address a specific gap: production-grade specialty AI APIs for regulated workloads where AWS / Azure / GCP either don't cover the use case or charge a premium.

We are bootstrapped, run lean, and ship fast — see /changelog for the full release history. Our infrastructure runs on Latitude.sh bare-metal in Dallas, USA (production) with EU/BR data-residency options for regulated customers (see /trust for DPA, SCC Module 2, sub-processors disclosure, and 72-hour breach notification commitments).

For procurement / partnership / press, contact hello@brainiall.comor via /contact.

What we do

Brainiall offers production-grade AI APIs for use cases that legacy cloud providers either don't cover or charge a premium for. Our 5 specialty SKUs are each built around a single ML problem and priced 5-46x cheaper than the dominant alternative:

  • Background Removal API — drop-in replacement for Azure Image Analysis 4.0 (retired Mar 2025). Two tiers: Fast (Brainiall Cutout (Fast tier) U²-Net) and HD (Brainiall Cutout engine, mIoU 0.95).
  • Audio Enhancement API — Denoise (Brainiall Audio Polish (denoise)) + Voice Isolation (Brainiall Audio Polish (separation)) + Filler Cleanup (Brainiall Speech engine) + LUFS Master in one pipeline.
  • Speaker Diarization API — standalone Brainiall Speaker ID engine with 12% DER on AMI. RTTM-style turns + JSON.
  • PDF-to-Markdown API — Brainiall Document Reader engine, equation-aware, table-preserving. $0.001/page.
  • Agent Memory API — multi-tenant semantic memory with Brainiall Memory embeddings. Recall@5 95%, $0.00005/event (1/5th of Mem0).

Plus the broader Speech AI / NLP Suite / Image Processing endpoints under one OpenAI-compatible API key.

Why specialty APIs

Most AI tooling today is built around horizontal generalists: a single LLM with billions of parameters that does everything passably. That model is great for chatbots and code completion, but it is wasteful and expensive for narrow production workloads.

Removing a background, separating speakers, denoising audio, extracting Markdown from a PDF — these are well-defined problems with strong production-grade SOTA models that, when deployed correctly, deliver better quality at a fraction of the cost of a generalist model. We package those models with proper auth, billing, monitoring, SLA, and DPA so your team can ship in a day instead of a quarter.

Values

  • Transparent benchmarks — every product page shows our quality number, the dataset we measured on, and the price-vs-quality position vs the dominant competitor. We publish even when we lose.
  • Quality-derived pricing — discount comes from where we sit vs market: 90% off when inferior, 80% off at parity, 50% off when superior. No hidden uplifts.
  • No payload retention — your inputs are processed in memory and discarded. We do not train on customer data, period.
  • Open-source first — we lean on permissively-licensed open models (Brainiall Cutout (Fast tier), audio-cleanup engines, Brainiall Speaker ID, Brainiall Document Reader engine, Brainiall Memory engine) rather than reinventing the wheel.

Distribution

Brainiall is available via Microsoft Azure Marketplace (preferred for enterprise procurement, billing through your existing Azure invoice), direct subscription via Stripe at app.brainiall.com/pricing, and a forever-free tier for evaluation.

Headquarters

Brainiall — São Paulo, Brazil
For procurement, NDA, MSA, or DPA paperwork, email legal@brainiall.com.

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