Build your base model, fine-tune it for your context, and own what you create.
Train, evaluate, and deploy production-ready foundation models from 7B to 70B parameters — without building an MLOps team. Off-the-shelf models hallucinate on the queries that matter most to your business. BIOS gives you 30–50% higher domain accuracy at 5–10× lower inference cost.
Fine-tune our proprietary foundation models or bring your own base. Automated hyperparameter optimization, evaluation suites, and A/B testing built in. Supports LoRA, QLoRA, and full fine-tuning.
◎
Visual Training Studio
An intuitive pipeline builder for distributed training, mixed-precision compute, and checkpoint management. Train 7B to 70B parameter models without provisioning a single GPU.
▲
Evaluation & Benchmarking
Comprehensive suite with automated benchmarking, regression testing, bias and toxicity detection, and human-in-the-loop review. Every candidate model requires a documented eval score before promotion.
◈
Knowledge Distillation
Compress massive teacher models into hyper-fast student models that retain over 90% accuracy at a fraction of inference cost. Model ownership is absolute — weights, checkpoints, and eval artifacts are yours.
Process
How it works
01
Connect
Connect your proprietary data sources via native integrations to S3, Snowflake, Databricks, and on-premise storage.
02
Build
Assemble your training pipeline visually — or in code via the SDK. Choose your base model, fine-tuning technique, and evaluation criteria.
03
Train & Evaluate
Run in an automated loop with full experiment tracking. No model is promoted without a documented evaluation score.
04
Deploy or Distill
Export weights directly to production endpoints or distill into a faster student model. Monitor in production with one-click rollback.
30–50%
higher accuracy on domain tasks
5–10×
lower inference cost
90%+
quality retained after distillation
100%
model ownership
Applications
Built for real work
Legal Intelligence
Proprietary legal AI in your firm's voice
Fine-tune on your historical contracts, creating an internal assistant that drafts and reviews documents in your exact corporate tone and risk tolerance — not a generic LLM's.
Code Generation
Developer models trained on your codebase
Train on your internal Git repositories to generate code that strictly adheres to your architectural standards, patterns, and internal libraries.
Healthcare
Specialist models for clinical workflows
Train domain-specific models on medical literature and clinical trial data to assist doctors with evidence-based recommendations. Radiologist-level accuracy, 60+ minutes saved per shift.
Get started
Build models your domain experts can defend
Air-gapped. Private. Yours. Start with a working proof-of-concept at no cost.