API Product Lab

Where AI delivery
becomes product

API builds AI products from real operational problems: assistants, automation systems, and security infrastructure that move from prototype to production.

View API Guard

Products shaped by live client work.

Every product is considered through an AI harness: evals, tests, guardrails, and release checks.

Open source when trust benefits from transparency.

Flagship product

API Guard protects the path between teams and AI systems.

API Guard is an implemented, open-source reverse proxy for teams building with AI. It adds a policy and control layer before requests reach models, tools, and sensitive internal systems.

Central proxy layer for requests between users, applications, and AI providers.
Designed around policy controls, safer access, and visibility for AI traffic.
Open sourced so teams can inspect, adapt, and extend the security model.

Open GitHub repo

Live products

The rest of the lab is already working in the field.

Public product

API's deployed AI assistant for lead capture, qualification, and meeting scheduling.

Live

Qualifies the visitor intent

Answers with brand context

Books qualified meetings

Live assistant

Alice AI

A business AI assistant that captures leads, schedules meetings, and represents your brand with clear, reliable interactions.

24/7 lead capture and qualification through a branded assistant experience
Meeting scheduling built directly into the flow
A public product already deployed as part of the API portfolio

Explore Alice AI

Live automation

Lead Generation Forms

A deployed lead capture product that turns website traffic into guided qualification, routing, and meeting booking in one journey.

Modal journeys that adapt the path to each visitor
Qualification, routing, and scheduling combined in a single flow
Built from delivery work and deployed today as part of the portfolio

How products are born

A product lab built from delivery work.

The hub is not a shelf of experiments. It is the way API turns repeated client needs into reusable AI products.

Find the pressure point

We start with operational problems that keep appearing in real companies.

Ship a working system

The first version is built to solve the job, not to decorate a roadmap.

Harden the pattern

Reusable flows, security controls, and product interfaces are extracted from delivery.

Run the AI harness

We consider evals, test suites, guardrails, observability, and failure modes before a product is treated as production-ready.

Deploy or open source

Products become live systems, client deployments, or public infrastructure when transparency matters.

Build with API

Want to pilot, deploy, or co-build products with API?

We build products for the market and for companies that need a faster, safer path into production AI.