Brihas AI Labs builds Reflex — a self-hosted runtime that converts repetitive agent behavior from expensive prompted APIs into owned QLoRA adapters and vertical Small Language Models. Proprietary code, trajectories, and weights never leave your infrastructure.
Reflex enforces a customer-owned data plane: trajectories, datasets, and weights never leave your infrastructure. Not to our servers. Not to anyone's.
Four choices that stay yours — permanently.
Compact domain-attuned models that match prompted frontier APIs on your tasks.
Fine-tunes trained on your trajectory corpus, inside your perimeter. Weights you own.
Evaluation-gated promotion, golden-set regression harnesses, sub-minute rollback.
A single 48 GB-class GPU trains and serves. On-prem, your VPC, or air-gapped.
Start with vertical Small Language Models fine-tuned on your own trajectory corpus. The weights, checkpoints, and adapters are yours outright — regenerated any time by a one-command retrain loop.
Explore the runtime →The Instrumentation SDK, Dataset Builder, and QLoRA training pipeline turn your production traces into specialized intelligence — in five lines of integration, on a single 48 GB GPU.
See the pipeline →An OpenAI-compatible serving layer with confidence routing, prompt slimming, and a hard evaluation gate. No unproven weights in production — and automatic rollback in under 60 seconds.
Read the protocol →Run on-prem, in your VPC, or fully air-gapped. Keep inference in-region on dedicated GPU capacity — your prompts, trajectories, and proprietary code never cross your perimeter.
Deployment options →Design partnerships open for teams running production LLM agents.