AI that
Clean. Fine-tune. Never forget.
AI-Powered Dataset Cleaning
60+ validators, AI-judge with score-floor-gated rewrite, structural pair audit + judge-based polarity sample for DPO/SimPO, tool-call validation, regex-based PII heuristics.
Open the Optimizer →Self-Serve Fine-tuning
LoRA + QLoRA on five leading 7-9B models (Mistral, Llama-3.1, Saul, Qwen3, Gemma-2) plus TinyLlama-1.1B on the free tier. Flat $3.99 per million tokens. No infrastructure to manage. OpenAI-compatible endpoint when training finishes.
See models & pricing →DPO & SimPO Preference Tuning
Hosted Direct Preference Optimization and SimPO on the same open-source LLMs. Reference-free SimPO — no reward model, no PPO, no RLHF stack. Same flat $3.99/M tokens.
See DPO & SimPO →Continual-Learning Engine
Stack medical → legal → finance → code onto the same model. Patent-pending CRMA. −0.17% drift on Mistral-7B (3 seeds) versus +43% baseline.
Read the research →Live Continual Learning
Beyond training-time CL: teach your model new facts live — in a single pass, with no retraining. Instantly answerable, and nothing it already knows is forgotten. In private beta soon.
Delete a customer from the model — not just the database.
California's CCPA now reaches personal data held inside AI systems, not only in databases (AB 1008). When a model bakes every customer into one set of weights, honoring a deletion request means retraining the whole thing. ModelBrew is built so it doesn't have to.
Per-tenant isolation
Each customer's data is fine-tuned into its own adapter on a frozen base model. Delete the adapter and the model is, by construction, back to never having seen that data — exact unlearning, no retraining.
Certified record erasure
Every deletion emits a cryptographic certificate — a recomputable proof that the records are gone and nothing else was touched.
Tamper-evident audit
A hash-chained audit trail, so data access and erasure can be independently verified — end to end.
Trust you can verify — not just claim.
The governance primitives a 2026 regulated buyer asks for, built into the product and backed by code. Every capability below is shipped and live.
Certified record erasure
Delete your account and receive a recomputable sha256 certificate proving exactly which records were erased — independently re-verifiable from before/after snapshots.
Tamper-evident audit trail
Every privileged action is written to a per-user hash-chained log; any later edit, reorder, or interior removal is detected and pinpointed.
GDPR account erasure
One deletion cascades across 16 data tables in a single atomic transaction; the legally-required financial trail is pseudonymized, never kept in your name.
Provable unlearning
Your data trains a self-contained adapter on a frozen base model that's never learned into globally — remove the adapter and the model has, by construction, never seen your data. No retraining.
Modern authentication
Bcrypt-hashed passwords, opt-in TOTP two-factor with recovery codes, and per-(user, IP) brute-force lockout that survives restarts.
Access control & API keys
Role-based access on every privileged endpoint, plus hashed, revocable, per-model-scoped API keys that are purged on account deletion.
Production-grade security primitives
Modern auth, RBAC, audit logging, strict CSP, HTTPS-only, atomic billing — the hardening you'd expect from a 2026 SaaS, exposed and tested.
- AES-256 encryption
- RBAC
- Audit logging
- HSTS / strict CSP
- GDPR data rights
- Stripe payments
Train on ModelBrew. Run anywhere PEFT runs.
Cloud (managed) and Hybrid Export ship today — download the LoRA + CRMA bundle and serve it on your own GPU. Full VPC deployment is scoped per enterprise pilot in 2–3 weeks.
- Cloud (managed)
- Hybrid Export
- BYO GPU inference
- VPC pilot 2–3 wks
