AI integration services
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.
Talk to experts nowWhat 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. You can read how we build the retrieval and grounding underneath in our production teardown of hybrid RAG on Qdrant.
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.
Stack
We work with your data-privacy and grounding requirements, not around them, and we measure each AI feature instead of guessing at it.
Where we build
- Your existing stack
- Python
- Node.js
Models
- OpenAI
- Anthropic
- Provider-agnostic routing
Retrieval
- Qdrant
- pgvector
- RAG and grounding
Evaluation
- Eval 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.
Should we build or integrate?
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.
Related reading
Recent write-ups from our engineers.
Want to add AI to the product you already have?
Tell us where it fits and we will scope it.
Talk to experts nowContact our team
Our team contacts you within 24 business hours
We collect all the key requirements from you
The team of developers prepares estimation
We can sign NDA since we respect the confidentiality of our clients