AI consulting
that ships,
not slide decks.
We help you find where AI moves the needle, build the first system that proves it, and put it in production. Strategy and engineering by the same team, so your roadmap survives contact with reality.
We don't hand off
the hard part.
Most consulting ends at the deck. Ours ends in production. The same senior engineers who scope your engagement are in the room when it ships. No handoff, no offshore implementation team, no “now go find a vendor.”
Four shapes of work
we ship.
Not a menu of buzzwords. Four production-grade patterns we build over and over, refined across every engagement.
Find the workflows where AI actually pays back.
Most AI roadmaps fail because they start with technology, not workflows. We walk your operations end-to-end, score opportunities by impact and readiness, and sequence a 90-day plan that puts the first working system in front of users in weeks, not quarters.
- ✓Workflow audit & impact scoring
- ✓Readiness assessment per opportunity
- ✓Sequenced 90-day roadmap
Make your internal knowledge actually queryable.
Policies, contracts, runbooks, ticket history. The answers are already inside your company. We build retrieval systems with hybrid search, mandatory citations, and permission-aware indexing so your team gets sourced answers instead of confident hallucinations.
- ✓Hybrid retrieval (semantic + lexical)
- ✓Mandatory citations per claim
- ✓Permission-aware indexing
Turn unstructured documents into structured operations.
Invoices, contracts, KYC packets, scanned forms. Every back-office still runs on documents. We build pipelines that extract, validate, and route them with confidence-gated automation: low-confidence cases escalate to a human, high-confidence ones flow through untouched.
- ✓Multi-format ingestion (PDF, scans, email)
- ✓Confidence-gated automation
- ✓Audit trail per extraction
Quality control that catches what humans miss.
Operators get tired. Cameras don't. We deploy custom defect-detection models on your line, running at the edge in sub-50ms, learning from operator overrides, and surfacing exactly which frame and which feature triggered the flag so engineering can act on it.
- ✓Custom defect taxonomies
- ✓Edge deployment (sub-50ms)
- ✓Active learning from operator overrides
Six reasons we keep getting asked back.
The Optivus Method.
Every engagement runs four phases on a fixed rhythm. You always know what is being delivered, what comes next, and where we are on the clock.
Workflow audit, opportunity scoring, success metrics. We agree on what we're building and how we'll know it worked.
Iterative build with weekly demos. Start with the core workflow, add integrations, refine on real data and real users.
Eval suite green, observability instrumented, edge cases handled. We don't ship until the matrix passes.
Production deployment in your cloud, team trained, monitoring live. We stay on for whatever support you need.
Same patterns, different domain shapes.
The underlying engineering (retrieval, extraction, evals, guardrails) transfers. What changes is the workflow we wrap around it.