Capabilities
Product Engineering
We design and build complete AI products, not features bolted onto a demo. The work runs from product discovery to a monitored system in production, with the same team accountable throughout.
01
Problems we solve
- A promising AI idea has no clear path from prototype to a product people can rely on.
- Engineering, product, and AI work are split across vendors with no one owning the outcome.
- The product needs to ship on a real timeline without cutting the corners that matter in production.
02
What's included
- Product discovery
- Architecture
- UX and workflows
- Backend development
- AI integration
- Deployment
- Production monitoring
03
How we approach it
- 01
Define
Clarify the product, the user problem, and where AI genuinely helps.
- 02
Design
Shape the experience, architecture, data model, and evaluation approach.
- 03
Build
Implement the product, backend, AI workflows, and integrations.
- 04
Operate
Monitor quality, latency, cost, and adoption in production.
04
Representative technologies
TypeScriptNext.jsPythonFastAPIPostgreSQLProvider-agnostic model APIsCloud deployment
05
Frequently asked
- Do you work embedded with our team or as a separate project?
- Both. We run project-based engagements and embed senior engineers alongside your team, depending on how you want to work.
- Can you take a prototype to production rather than start from scratch?
- Yes. A common engagement is hardening an existing prototype with evaluation, monitoring, and an architecture that scales.
- Which model providers do you use?
- We stay provider-agnostic and choose per use case, with routing and fallbacks so a single provider is never a single point of failure.
Have a project that needs Product Engineering?
Tell us what you are building. We will show you what it takes to ship it to production, and reply within one business day.