Custom AI Applications
Custom AI applications shipped in weeks, not quarters.
We design and build custom AI web apps end to end, so you ship a product, not a demo.
How we build custom AI applications
The principles behind every app we ship, none of them about which model is popular this week.
- Workflow first, model second
- We scope the job before we pick a model. Most apps end up routing different tasks to different models by complexity.
- RAG and agents, combined right
- Retrieval grounds the answers and agents take the actions. We design the mix so each does what it is best at.
- Production stack, not prototype
- React, a backend you can trust, a multi-provider model gateway and observability from day one.
- Security built in
- Prompt-injection defenses, data-leakage controls and abuse limits are designed into the system, not added after launch.
- Evals and observability
- Every prompt, response, latency and cost is logged, so you can see what the model is doing and prove it works.
- Fast MVP, solid foundation
- A usable first version quickly, on a foundation that scales to production traffic without a rewrite.
How we build and ship a custom AI app
- 1
Scope the workflow
We map the user's job and write the eval set before we write code.
- 2
Prototype early
A rough build in front of real users, to prove or kill the idea before serious investment.
- 3
Build the real thing
Frontend, backend, model routing, retrieval and tools, released to a closed beta.
- 4
Harden and scale
Observability, cost controls, fallback providers and a security review before public launch.
Questions we get asked
What is a custom AI application?
A purpose-built web or mobile product where one or more language models are part of the core experience, combined with your data, workflows and UX. It is different from off-the-shelf SaaS.
When should we build vs buy?
Buy when the workflow is generic and a polished SaaS already exists. Build when the workflow is your advantage, when off-the-shelf tools force ugly workarounds, or when the data is sensitive enough to keep in-house.
How long does it take to ship?
A first usable version ships in weeks. A production-grade app takes longer, depending on integrations, security review and how complex the workflow is.
Which LLMs do you build on?
We are model-agnostic and use models from OpenAI, Anthropic, Google and open-source providers depending on the job. Most apps route different tasks to different models for the best balance of cost and quality.
Further reading
All articles on thisReady to ship an AI app that works in production?
Book a strategy call and we will scope, prototype and ship the first version on a foundation built to scale.