Connect AI to your data and apps.
Secure LLM integrations and MCP servers that let AI read and act on your systems, safely.
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Trusted to ship since 2016.
Sound familiar?
The challenges teams bring to us before AI Integrations (LLM & MCP).
AI cut off from your data
Models give generic answers without your context.
Security concerns
Teams worry about data leaking into AI tools.
One-off integrations
Each AI feature is wired up differently.
Vendor lock-in
Products depend on a single model provider.
Everything included
Clear deliverables, agreed upfront. You own everything we build.
Four clear steps
Weekly updates at every step. No surprises.
Assess
Review data, systems and security needs.
Design
Choose models, retrieval and access patterns.
Build
Build APIs, MCP servers and pipelines.
Harden
Test, secure and monitor in production.
Where it makes a difference
Knowledge assistant
Answers staff questions from internal docs with sources.
Product AI features
Adds AI search and summaries inside a SaaS app.
MCP for operations
Lets AI assistants read orders and stock safely.
Tools we use
Proven tools, chosen for your needs and connected to your stack.
One team. Accountable for the result.
We have built drones, 3D printers and software since 2016. Today we bring that engineering discipline to AI.
One accountable team
Strategy, build and support from one partner. No hand-offs between vendors.
Builders since 2016
Robotics, hardware, software and now AI-native. We know how real products fail and how to fix them.
AI-native delivery
We use AI to build faster, and we build AI that works on your real data.
Outcomes first
Every engagement is tied to a business metric you choose before we start.
You own everything
Code, workflows, data and accounts stay yours. No lock-in.
Weekly visibility
Demos and progress updates every week. No black boxes, no surprises.
Often paired with
AI Agents
Agents that answer, decide and act across your tools, with guardrails and human review built in.
Learn more AI ServicesAI Automation
n8n and API workflows that move data, trigger actions and remove copy-and-paste work across your tools.
Learn more AI ServicesAI Pods
A dedicated, cross-skilled AI team embedded with yours for bigger initiatives.
Learn moreQuestions, answered
What is MCP?
The Model Context Protocol is an open standard that lets AI assistants connect to tools and data in a controlled way.
Will our data train public models?
No. We use enterprise APIs and settings that keep your data private.
Can we switch models later?
Yes. We design integrations to be model-agnostic.
Do you work with our developers?
Yes. We can build with your team and hand over cleanly.
Tell us the constraint. We will map the fastest way through it.
A 30-minute call with a senior strategist. No pitch deck, just a plan.
Free · 30 minutes · No obligation