AI integration services

2015Shipping software since

10M+Users on our builds

5.0Clutch, 26 reviews

You do not need to rebuild your product to put AI in it. We add AI features and automation to the app, stack, and workflows you already run, grounded, evaluated, and built to stay reliable once real users touch it. A US company with a senior team, building software since 2015.

What we integrate and automate

Add AI to the product you already run, without a risky rewrite and without a feature that embarrasses you the first time a user pushes on it.

LLM features in your app
Chat, search, summarization, classification, and copilots, wired into the product you already have rather than bolted on.
Retrieval over your own data
Grounded answers from your documents and data, so the feature is specific and trustworthy instead of generic model output.
Agents in your workflows
Agents that take real, repetitive tasks off your team, with the constraints and audit trails that keep them safe in production.
Workflow automation
The manual, repetitive operations that quietly eat your team's week, automated with the same grounding and evaluation discipline.

Want to add AI to the product you already have? Tell us where it fits and we will scope it.

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The proof
Production AI, written up in public

We published a full production teardown of our hybrid RAG architecture on Qdrant, the retrieval and grounding work that makes an AI feature trustworthy rather than a liability. You can read how we built it.

Our engineers also maintain public multi-agent repositories you can read before you hire. Behind the AI work is a company shipping production software since 2015, with products at the top of the App Store and Product Hunt and a 5.0 rating on Clutch across 26 reviews.

READ THE TEARDOWN

Stack

We work with your data-privacy and grounding requirements, not around them, and we measure each AI feature instead of guessing at it.

Your existing stackPythonNode.jsOpenAIAnthropicProvider-agnostic routingQdrantpgvectorRAG and groundingEval harness (golden sets, retrieval precision)

Questions

Do you work with our existing stack?

Yes. AI integration is about extending the product you have, so we work inside your codebase and stack rather than asking you to start over.

Can you automate our workflows, not just add a chatbot?

Yes. A lot of the value is automation, taking repetitive manual operations off your team, with the same grounding and evaluation discipline so the automation is trustworthy.

How do you handle our data and privacy?

Grounding runs on your data under your privacy constraints, with a provider-agnostic model layer so you can route or self-host where a requirement calls for it.

Build or integrate, which do I need?

If you have a product and want to add AI, integration. If you are building an AI product from the ground up, that is AI development. We will tell you honestly which one fits on a short call.

How do we start?

A short call to scope where AI fits in your product or workflow, then we agree the model and timeline.

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CONTACT OUR TEAM

Do you have an idea for your next project? Not sure what tech stack or business model to choose? Share your thoughts and our team will assist you in any inquiry.