Cortexa.
Your science. Your model.
A self-hosted family of biology and chemistry models, continuously tuned on your permission-scoped corpus and served inside your VPC, on-prem environment, or air-gapped network.
Frontier reasoning without sending your IP to a public API.
General-purpose models are trained on the public web, not your assays, sequences, protocols, and failure modes. External APIs also introduce privacy, cost, availability, and roadmap dependencies that regulated R&D teams cannot accept.
Cortexa gives each organization a private scientific model instance. It combines domain models, managed fine-tuning, embedding customization, alignment from real scientist feedback, and deployment controls in one model lifecycle.
A complete scientific model lifecycle.
Domain foundation models
Biology and chemistry models continually tuned on high-quality scientific corpora.
Managed fine-tuning
LoRA and full fine-tunes on permission-scoped customer data with isolated pipelines.
Scientist alignment
DPO and RLHF loops learn from approvals, corrections, and manuscript edits.
Task distillation
Compress high-value workflows into smaller specialist models for efficient hot paths.
Retrieval tuning
Fine-tuned embeddings improve search and grounding across private research corpora.
Model operations
Versioning, golden-dataset evals, gated promotion, observability, and rollback.
Every scientific decision improves the system.
Ingest the corpus
Curate public science and permission-scoped customer knowledge.
Fine-tune privately
Adapt models and embeddings to the organization's science.
Gate every version
Run golden datasets and safety policies before promotion.
Capture feedback
Turn scientist corrections into the next alignment cycle.
Designed for sustained private training and inference.
The shared brain behind every Sciento product.
Own the model layer behind your science.
Deploy a private scientific model without surrendering control of your data or roadmap.