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We design and build custom AI on the platforms you already use.

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Frequently asked

Four questions we hear before every call.

Can't I do this in Claude Code?

Claude Code is a coding tool for an individual developer. It runs on your computer, it serves you alone, and it locks you to one model provider. Organizational AI is a different problem. Organizational AI needs durable infrastructure: scheduled runs, role-based access, observability, and integration into the systems your team already uses. We build that infrastructure. Claude Code is a tool that runs inside it, not a substitute for it.

How do you handle compliance and PII?

We treat PII as a boundary problem. Before any record reaches a model, identifying fields are stripped, tokenized, or replaced with synthetic equivalents, and the mapping stays inside your perimeter. Audit logs capture every prompt and every response. The pattern works for HIPAA, GDPR, and SOC 2 environments because the compliance footprint of the model call is the same as any other vendor API: redacted in, redacted out.

Will it be hard to maintain after you step back?

We build with the libraries the field has standardized on. That means LangGraph, LiteLLM, the major model SDKs, FastAPI, the standard observability stack. Your team can hire against the stack, find documentation, and read the same blog posts everyone else is reading. We do not invent infrastructure where infrastructure already exists.

Why are you model-agnostic?

Frontier model pricing today is subsidized. Providers are absorbing real losses to win integration share, and the prices you sign at this year are not the prices you will pay in three. Hard-coupling your business logic to one provider's API surface means the day they re-price, you re-price with them. We design the system so the model is a swappable component: same interface, different provider, same outputs. That is what vendor-resilient means in practice.

Ten more answers, same voice. Read all eleven