- 09 — Services / AI & ML
AI & Machine Learning.
Production-grade LLM features and ML systems. RAG over private data, multi-agent workflows, evals on every PR, and cost guardrails that survive real users.
Autonomous systems for
learning and decision-making.
We build production AI — not demos. LLM-powered features that work for 10,000 concurrent users, RAG pipelines tuned for your data, and agents that take actions with audit trails and guardrails the security team approves.
Every release ships with evals — faithfulness, relevance, regressions — that gate the merge. Cost telemetry, prompt versioning, and fine-tune lifecycles are part of the deliverable, not afterthoughts.
40+
AI features in prod
98%
eval pass rate gate
<200ms
p75 retrieval
30%
average cost cut
Where we add
the most leverage.
Six high-leverage areas where senior practitioners change the trajectory of a program — without delaying the work.
LLM applications
Chat, search, drafting, summarization — wired into your private data with retrieval and grounding.
RAG pipelines
Indexing, chunking, retrieval, re-ranking, evals — tuned for your domain, not a demo.
Agents & copilots
Action-taking AI with structured outputs, audit logs, and guardrails the security team approves.
Evals & guardrails
Faithfulness, relevance, regressions in CI. Every PR proves it didn’t degrade quality.
Model ops
Tracing, cost telemetry, prompt versioning, fine-tune lifecycle. Production-grade from day one.
Classical ML
When LLMs are the wrong tool, we build the right one — feature stores, training pipelines, serving infra.
What founders, CEOs, and engineering heads tell us.
Real names, real companies, real engagements. Sourced verbatim from our long-running clients across EdTech, healthcare, and fintech.
Learning Management System (LMS) and I admire their work quality and time-bound
delivery. I would recommend Diginnovators for any IT solution people are looking for.
A repeatable
five-step loop.
Every engagement runs the same way — discover, design, build, evaluate, operate.
Discover
Stress-test the brief. Fit, risks, sequencing.
Design
Research, IA, production-grade prototypes.
Build
Engineering squads ship to staging behind a flag.
Evaluate
Evals, A/B, real users — tuned in the same loop.
Operate
Observability, on-call, retraining. We stay.
