Incomtech designs, builds, and operates production-grade AI systems for software companies — so you can launch intelligent products faster without stretching your engineering roadmap.
service uptime
faster delivery
Trusted by engineering teams at software companies worldwide
From first prototype to production scale, we handle the modeling, evaluation, and infrastructure so your team ships confidently.
Domain-tuned copilots and agents embedded directly into your product, grounded in your data with reliable, auditable responses.
Search and RAG pipelines that turn scattered docs, tickets, and code into accurate answers your users can act on.
Automate triage, classification, and back-office tasks with evaluated model workflows that fail safely and log everything.
Continuous eval harnesses, regression tracking, and dashboards so you always know how your AI performs in production.
Data isolation, PII handling, and access controls designed for regulated software teams and enterprise procurement.
We ship into your stack — APIs, SDKs, and CI — and hand over clean, documented code your engineers own.
Most AI pilots stall before production. We close that gap with rigorous evaluation, guardrails, and infrastructure — turning promising demos into features your customers depend on every day.
Faster feature delivery
Lower support load
Production uptime
Systems in production
A predictable engagement model designed to fit inside your existing sprint cadence.
We map your use case, data, and success metrics in a focused kickoff — then scope a plan you can approve in days.
A working Claude-powered prototype against your real data, with evaluation baked in from day one.
We harden the system — guardrails, monitoring, and infra — and integrate it cleanly into your stack.
We hand over documented code and stay on for support, so your team owns the roadmap with confidence.
“Incomtech took our stalled AI pilot to production in six weeks. The evaluation discipline alone changed how our whole engineering org thinks about shipping AI.”
VP Engineering, Northstack
“The Claude integration handles our customer support triage with accuracy we didn’t think was possible. Support volume to humans dropped by more than half.”
CTO, Verano
“What sold us was the handover. We got clean, documented, well-tested code that our own engineers now extend independently. No lock-in, real ownership.”
Head of Product, Loop&Co
We specialize in Claude for its strong reasoning, long context, and safety profile — a natural fit for software products. When a use case calls for it, we combine Claude with retrieval systems, smaller task models, and your existing infrastructure.
Most teams see a working prototype within two weeks and a production-ready system within four to eight, depending on scope. We work in your sprint cadence with clear milestones you approve along the way.
Yes. Everything we build is delivered as documented, tested code in your repositories. There is no proprietary runtime and no lock-in — your engineers can extend and operate the system independently.
We design for data isolation, PII handling, and role-based access from day one, and our delivery process is SOC 2-ready. We’re happy to work within your security review and procurement requirements.
We offer ongoing evaluation, monitoring, and support plans to keep quality high as your product and data evolve — or a clean handoff if your team prefers to take it fully in-house.
Book a 30-minute appointment with our team. We’ll map your use case and show you exactly what’s possible.