Enterprise AI, production level
We build, scale, integrate, and deploy AI systems that hold up under real load, inside your enterprise's actual data and access boundaries.
Services
Deep-tech AI, built, trained, evaluated, and shipped to production
We build, scale, integrate, and deploy enterprise AI at production level. We pre-train and fine-tune the models, build the agents, and evaluate everything before it ships, not just once, but release after release.
LLM & SLM pre-training, fine-tuning
Closed and open-source models pre-trained at scale with 5D parallelism (data, tensor, pipeline, sequence, and expert) or fine-tuned with modern techniques including JAX and Unsloth, with eval gates before anything ships.
Agentic systems & RAG pipelines
Sophisticated multi-agent solutions and RAG pipelines built on Claude Agent SDK, LangChain, LangGraph, and Codex, wired into your real workflows.
Inference stacks & secure deployment
High-throughput, low-latency serving with tensor and pipeline parallelism, tuned batching, and KV cache efficiency, deployed securely at scale.
Custom AI applications
Focused applications with the right context design and integrations your team uses every day.
Evaluation & reliability engineering
We are not just builders. Task scorecards, regression suites, and trace-driven evals that keep improving quality release after release.