Unsupervised AI ships quality debt
Hallucinations and untested model behavior reach production without evals or ownership. We put gates before release.
AI engineering supervised for production
We help teams ship AI-powered product features - assistants, automation, and workflows - with evaluation gates, safety checks, and senior engineering review.
Problems we solve
PoCs never reach production
Demos without architecture, observability, or product integration stall. We design for shippable systems.
AI builders create demos, not operable systems
Prompt-to-app tools skip discovery, DevOps, and IP clarity. We deliver production software you own.
What's included
- Use-case framing and success metrics
- RAG / agent / automation architecture as appropriate
- Evaluation sets, guardrails, and review gates
- Integration into your product (web/mobile/API)
- Observability for model and product quality
- Human sign-off on releases
Compare delivery models
See how an expert-supervised product partner differs from AI app builders and large SIs.
Learn more →FAQ
Do we own the source code and IP?+
Yes. For client engagements, you own source code and IP for the work we deliver. We document handover, repositories, and licensing in writing.
What does discovery → launch look like?+
Plan (outcomes, users, constraints), Build (iterative delivery), Launch (release + monitoring), Improve (roadmap after go-live).
How do you use AI without sacrificing quality?+
AI accelerates research and repetitive work; experts own architecture, UX, and release decisions.
How is EvoFront different from AI app builders?+
Builders generate drafts from prompts. We deliver production systems with discovery, engineering review, IP ownership, DevOps, and long-term iteration.
Related services
Or browse all 7 services.
Ready to ship the product?
Tell us the scenario - we build products, not prototypes. Reply within 24 hours.