01
Locate
We identify where AI actually improves the product, and where it does not.
03 / AI Development Partner
AI that belongs in the product.
Production AI (retrieval, agents, workflows, evaluation and guardrails) engineered into the systems your users already rely on.
Past the demo.
Most AI work never leaves the prototype. Demos look convincing; production requires retrieval quality, evaluation, fallbacks, cost control, and a product that still works when the model is wrong.
Veyn is the engineering partner that moves AI from experiment to a reliable part of the product. We integrate models into real workflows, with the infrastructure and judgement required to ship them.
- AI product development
- LLM integrations
- AI agents
- Retrieval systems
- AI workflows
- Automation
- Evaluation
- Guardrails
- AI infrastructure
- Human-in-the-loop systems
- AI integration into existing products
02
Ground
We design retrieval, context, tools and the data the system is allowed to use.
03
Ship
We integrate into the product with fallbacks, logging, cost controls and human review where needed.
04
Prove
We evaluate quality in production conditions and tighten the system against real failure modes.
Typical engagement
- duration
- Typically 6–16 weeks to a production capability
- team
- Engineers who treat models as components, not magic
- outcome
- AI features that run in production with evaluation and controls
Deliverables
- 01AI product architecture
- 02Retrieval and context layer
- 03Agent or workflow implementation
- 04Evaluation harness
- 05Guardrails and fallbacks
- 06Production integration
- Product teams moving from AI experiments to production
- Companies embedding AI into an existing platform
- Founders whose product is AI-native and needs real infrastructure