Solution
AI & Data
We build copilots and automation that cite your approved sources, respect policy, and can be measured—so AI becomes an operating capability, not a side project.
Impact
Outcomes we design for—not features listed in a brochure.
RAG over approved corpora with citations and audit trails for regulated teams.
Human-in-the-loop, policy checks, and evaluation harnesses before broad access.
Model choices matched to SLOs—not the largest model for every task.
Capabilities
Explore each area—scope, capabilities, and how we typically implement it for clients.
4 capability areas — scroll or use arrows
01Agents and workflows with tools, policies, and handoffs to humans.
Orchestration is versioned and testable—so behavior doesn’t drift silently in production.
02Grounded answers over documents, tickets, and structured data you approve.
We treat retrieval quality as a product metric—measured continuously, not once at demo time.
03Batch and stream feeds for features, decisioning, and model inputs.
AI fails quietly when data fails. Pipelines get the same SRE attention as the app.
04Regression sets, red-teaming, and monitoring that keep quality visible.
Every model or prompt change runs through the harness before users feel it.
Fit
Approach
A staged approach so your team adopts without disrupting day-to-day work.
Pick high-ROI workflows with clear owners, data readiness, and risk profile.
Curate corpora, chunking, permissions, and retrieval quality baselines.
Ship a guarded pilot with regression sets, safety tests, and human review paths.
Harden observability, cost controls, and expand to adjacent workflows.
Next step
Tell us about your current tools and goals—we’ll map a practical rollout and demo the modules that matter most.
Related