Consulting & Delivery
Custom AI Software Engineering
Bespoke AI applications engineered inside your stack. Your repo, your infra, your IP: a senior squad ships alongside your team.
What is custom AI software engineering?
The Answer
Custom AI software engineering is the build of proprietary AI applications (LLM agents, retrieval systems, decision engines) entirely on your stack with full IP ownership. Unlike off-the-shelf AI platforms, you own the source code, the data, the model fine-tuning, and the deployment: no per-seat licensing, no lock-in, no vendor handoff.
What you get
Three outcomes we commit to before we start.
Ships in your repo, on your CI/CD
We're git pushing to your GitHub org from week one. Same PR review, same CI checks, same deployment pipeline as your internal team. No 'we'll hand it over at the end' surprise.
Senior operators only
Every engineer on the engagement has 8+ years of production experience. No junior handoffs, no offshore mystery. You can call anyone on the squad by name and get a real answer.
Your IP, entirely
All code, models, prompts, eval sets, and docs are yours. No per seat licensing, no revenue share on outcomes, no 'you can only run this on our platform'. IP transfer is baked into the contract.
The Guaranteed Production Pilot
Fixed scope · Written targetA production Custom AI Engineering system in your VPC: audited, documented, owned by your team.
Not a slide deck and not a sandbox demo: a working Custom AI Engineering deployment inside your own cloud boundary, mapped to your compliance controls and handed over with the schema, the eval harness, and the runbook.
Architecture and success criteria signed off in week one. First working slice running in your environment inside 30 days.
Fully done for you. Our senior squad owns ontology, build, evals, and compliance mapping: your team reviews and signs off, nothing more.
Fixed scope, fixed price, and a measurable success target agreed in writing before we start. Miss the target and you don't pay for the pilot.
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Where Custom AI Engineering lands in production.
Proof and background
Custom builds we have shipped.
Case study
Gateless: a rights-protected music marketplace
Connecting artists, songwriters, A&Rs, and executives directly, with no middlemen, which meant getting rights and identity right before any of the marketplace mechanics.
Read moreCase study
In-store iPad app for a global premium audio brand
Deployed across every US retail location, with a 20% increase in client visits. The brand name is withheld under NDA.
Read moreService FAQ
People also ask about custom ai engineering.
Off the shelf: pre built SaaS (Salesforce Einstein, Copilot for Microsoft 365) (fast, generic. Custom: bespoke systems built for your specific workflow, data, and compliance posture. We build when off the shelf doesn't fit) usually because the workflow is proprietary, the compliance bar is high, or the differentiator is exactly the AI feature.
Not sure which lane is yours?
Which lane needs custom ai engineering right now?
A 30 minute call and we'll tell you whether this service or a different starting point fits your team best.
Enterprise
Fortune 500 & Regulated Industries
Scale ups
Founders & High Growth Product Teams
Brands
CMOs, D2C, Franchises & Retail
Small Teams
Trades, Agencies, Founders & Solopreneurs