Generative AI Development Services That Reach Production
We scope, build, and ship generative AI systems, copilots, RAG, and content pipelines, that survive real inputs and integrate with the tools your team already runs, not a one-off demo.
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Answers in brief
- What it is
- Generative AI development services turn a scoped business problem into a production system across the model, data and retrieval, integration, evaluation, and monitoring layers, instead of a one-off demo that breaks on real inputs.
- Who it is for
- Founders and teams who already have a concrete use case, such as a copilot, a RAG knowledge system, or a content pipeline, and want production-grade software they own rather than another locked-in platform.
- Cost
- Scope-based: we quote against your specific use case after a short discovery call rather than from a fixed price list, so you only pay for what you actually need.
- Timeline
- Most engagements reach a first production milestone within a 45-day delivery window once scope is confirmed, with weekly check-ins along the way.
- Risks
- The main risk is treating a demo as production. Generative systems hallucinate, drift, and cost money per call, so we budget for evaluation, guardrails, and monitoring and agree on a measurable target before any build starts.
- Next step
- Submit a short project brief through the form on this page; we reply within 24-hour on weekdays to schedule a scoping call.
Where and how we deliver
Our engineering team is based in Hangzhou and led by ex-Alibaba senior engineers who have shipped 20+ projects for 10+ clients.
We collaborate with US and EU teams on a remote schedule, with a 24-hour response commitment on weekdays so timezone gaps never stall a build.
Project communication, source control, and handover documentation stay in English, so distributed stakeholders can follow progress without friction.
Frequently asked questions
What is the difference between a demo and a production-ready generative AI system? +
A demo proves the idea once on clean inputs. A production system survives real traffic, edge cases, drift, and cost, which requires the evaluation harness, guardrails, and monitoring that a demo skips.
What inputs do you need before you can scope the work? +
We need the workflow described end to end, representative or redacted sample data, the systems to integrate with, the internal owner, and your data, privacy, and budget constraints.
Do we own the source code and model artifacts? +
Yes. Ownership is written into the contract, and by default you own the delivered code, configuration, and documentation, with no vendor lock-in on the application layer we build.
Can you guarantee an accuracy percentage? +
No, not before testing on your own data. We agree on an evaluation set and target metrics during scoping, then measure and report against them honestly rather than promising a headline number.
How long does a generative AI engagement take? +
Most engagements reach a first production milestone within a 45-day delivery window after scope is confirmed, with weekly progress check-ins throughout so you always know where the build stands.
How do we get started? +
Submit a short brief through the form on this page. We reply within 24-hour on weekdays and schedule a scoping call to confirm fit, scope, and a first milestone before any build.
Tell us about your AI project
Share a short brief and we will reply within one business day.