Custom AI development
Custom AI Development Services
Production-grade AI software, built for your business.
Book a consultationOff-the-shelf AI tools stop where your business gets specific. We design and build custom AI software around your data, your workflows, and your constraints — and we engineer it for the part that actually matters: running reliably in production, at real volume, in front of real users. Every build starts from the business outcome and works backward, so what ships is a system you can measure, not a demo you have to explain.
What we deliver
RAG & knowledge systems
Assistants grounded in your documents and data — retrieval done properly, with sources you can audit and answers safe to put in front of customers.
AI copilots & product features
LLM-powered features inside your product or internal tools — drafting, summarizing, extracting, classifying — hardened for accuracy, latency, and cost.
Custom internal tools
Purpose-built AI applications for the workflows that make your business different, where no vendor tool fits.
Evaluation & guardrails
The unglamorous layer that makes AI trustworthy: test sets, quality evals, hallucination controls, monitoring, and human-review loops.
Integration engineering
Connecting AI into the systems you already run — CRMs, ticketing, data warehouses, internal APIs — so it works where your team works.
Where it delivers ROI
A support assistant grounded in your help center and policies
Deflects routine tickets with answers it can cite, and hands off cleanly when it shouldn't answer.
Document intelligence for contracts, claims, or intake
Hours of manual reading turned into structured data with review-grade accuracy.
A sales or ops copilot inside the tools your team lives in
Drafts, summaries, and next-step recommendations that cut cycle time without changing the workflow.
How we work
- 1
Scope the value
We pin down the highest-payoff use case and the metric it should move.
- 2
Build to production
Senior engineers ship reliable software, not a throwaway proof of concept.
- 3
Deploy in your stack
It lands in the tools your team already uses, with guardrails you can trust.
- 4
Prove the return
We measure against baseline so the work shows up as an outcome.
Frequently asked questions
What does custom AI development cost?
It depends on scope, but we deliberately structure engagements so the first production slice is small — typically weeks of work, not quarters — and priced so the expected return clearly clears the investment. You'll see the cost/benefit math before we start.
Which models and stack do you build on?
We're model-agnostic and pick per use case — frontier APIs where quality matters most, smaller or self-hosted models where cost, latency, or data control dominate. The architecture is built so models can be swapped as the landscape shifts.
How do you handle our data and security?
Your data stays in your environment wherever possible, access is scoped to what the system needs, and we design for auditability from day one. We'll work within your security review, not around it.
Do you work with our in-house engineers?
Yes — that's the preferred mode. We build alongside your team and hand over something they own and can extend, with documentation and knowledge transfer built into the engagement. No lock-in.
How long until something is live?
Most first engagements put a working slice in production within weeks. We scope the first release deliberately small so real users and real data start informing the build early.
Related services
AI Agents & Automation
Agents that take real work off your team's plate.
AI & Data Strategy
A roadmap that avoids the 88% failure rate.
Ready to make it deliver?
Tell us what you're trying to do — we'll give you a straight read on feasibility and the fastest path to a return.
Book a consultation