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From architecture design to performance repair, we offer six focused service areas to build, evaluate, and scale GenAI systems correctly.
End-to-end retrieval-augmented architecture
We design the full pipeline — from chunking and embedding strategies to retrieval tuning — ensuring each layer is optimized for your specific use case.
High-performance inference at scale
Squeeze more out of every token. We analyze pipeline bottlenecks, refine prompts for precision, and reduce unnecessary token usage for production GenAI.
Handling messy enterprise data
PDFs, tables, and unstructured data represent the real enterprise challenge. We build normalized pipelines that correctly route data into your systems.
Trust, safety, and deterministic metrics
Building frameworks tailored to your use case — from RAGAS-based metrics to custom LLM-as-judge setups — paired with robust safety guardrails.
Reasoning and tool orchestration
Designing agents with clear decision boundaries, reliable tool usage, and observable state transitions for complex multi-step automation.
Systematic failure analysis
GenAI fails in subtle ways. We diagnose root causes in failing systems, audit retrieval performance, and deliver a clear fix-and-scale roadmap.
Flexible models designed to fit your team's specific technical needs.
Architecture design, technical guidance, and system review for teams that want expert input.
Hands-on implementation and feature development. We work alongside your engineers.
A specialized GenAI engineering team on a flexible basis for long-term roadmaps.