Services
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.
01 / Models
We work at the weights level: pre-training from scratch and fine-tuning open or closed models to your domain.
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.
02 / Agents
Agents, RAG, and the applications around them, engineered with the harness that keeps them safe to run.
Sophisticated multi-agent solutions and RAG pipelines built on Claude Agent SDK, LangChain, LangGraph, and Codex, wired into your real workflows.
We build the harness beneath the agent: least-privilege tool scoping and sandboxing, context and memory management, checkpointed recovery, and supervised multi-agent orchestration with human approval gates for regulated, high-accountability environments.
Focused applications with the right context design and integrations your team uses every day.
03 / Production
Enterprise integration, high-throughput serving, and the evaluation discipline that keeps quality measurable.
We build, scale, integrate, and deploy AI systems that hold up under real load, inside your enterprise's actual data and access boundaries.
High-throughput, low-latency serving with tensor and pipeline parallelism, tuned batching, and KV cache efficiency, deployed securely at scale.
We are not just builders. Task scorecards, regression suites, and trace-driven evals that keep improving quality release after release.
Tell us your goal and constraints, and we'll reply with a practical next step within one business day.