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◇ 02 — Intelligence
AIAgents&Workflows
We build AI systems that are accountable to real product outcomes, not demo magic.
Our work here spans internal copilots, retrieval systems, agent workflows, human-in-the-loop operations and the evaluation harnesses that keep them trustworthy.
The emphasis is always the same: tool-use that is constrained, observable and measurable, with the right fallback paths when the model should not be in charge.
What this includes
LLM AgentsRAGEval & TuningTool-use
Agent workflows and tool orchestration
RAG pipelines and knowledge retrieval
Evaluation, monitoring and safe rollout design
LLM-assisted internal tooling and operations
◇ Outcomes
What teams usually need this to change.
01
Internal tools that remove repetitive operational work.
02
Agent workflows that can be monitored and improved over time.
03
RAG systems grounded in the data teams actually trust.
◇ Other services
All services→Adjacent capabilities.
◇ Engage
Need help with ai agents & workflows?
We can usually tell in one call whether the problem is a fit, what shape the work should take, and where the real risk is.