A delivery-driven approach to agentic AI.
We always start with clear-cut goals of the delivery. A clear scope, measurable acceptance criteria, and production-ready engineering – then, and only then, do we build the agentic solution, model, and software around it.
Always integrated into your core infrastructure and fully owned by you end to end.
our business
How we help you put AI to work.
Agentic AI solutions
We help you identify processes worth automating, select the right agentic framework and build robust AI agents that fit your operations. And just to make it clear – you own everything, models and code.
Custom transformer models
We have deep expertise in model architectures and foundation model training. We design and train transformer models for generation, outlier detection, classification and analysis, and more.
Agentic software development
We’ve built entire production systems prompted through AI agents for some of Sweden’s largest companies. Including automated tests, documentation, and production-quality code delivered several times faster than conventional AI-assisted development.
Selected clients
Partners
Network
Career
12-month AI Engineering Program, built with Hubbau.
We help young data scientists and engineers to build transformer models and agentic solutions from the ground up – so they’re ready to contribute from day one.
For organisations
A pipeline of engineers trained in how AI is actually built, evaluated, and run in production.
For ourselves
A fast track into how real systems and real business work, with high standards and strong mentorship.
How we work
Delivery-driven, with outcomes you can keep.
We’re hands-on, engineering-led, and focused on delivering best-in-class AI consultants and production-ready systems with a handover your team can run.
Discover
Define scope, success criteria, constraints, and guardrails – then prioritise the work that’s worth doing.
Build
Design, implement, evaluate, and deploy to production. Plus observability, tests, and all the bits that keep systems reliable.
Transfer
We promise a handover that sticks. Including documentation, enablement, governance patterns, and a system, and way of working your team can own.
FAQ
Straight answers to common AI questions
Agentic AI is when models plan, call up tools and applications, and take actions inside a defined workflow. We deliver with integration, evaluation, guardrails, and a design that holds up in production.
We prioritise work that’s possible to deliver and operate – usually repeatable processes with clear inputs/outputs, testable quality, and realistic integration points. Then we validate it quickly with a pilot and explicit acceptance criteria before scaling.
Not always. If an off-the-shelf, general-purpose LLM meets your quality, privacy and cost constraints, we’ll use it. We build custom models when you need stronger performance, tighter controllability, or have ownership and deployment requirements that demand it.
You do, always. We deliver so you can run, evolve and extend the system, including models, code and documentation.
We treat them like production systems. That includes evaluation, test suites, observability, clear boundaries for what the agent may (and may not) do, and safe fallbacks when uncertainty is high.
We design for your environment and requirements, from data handling to auditability and deployment patterns.
We start with a short discovery phase to define scope, constraints, and acceptance criteria. Then we build and deliver a production-grade pilot, test it, then scale it into operations, and complete the handover so your team can own it end to end.
TECH BY JOHAN
AI in a weekly, practical, opinionated and very useful way
Short takes on what matters in the world of AI. What’s noise, and what’s next – written weekly by our CEO Johan Sanneblad.
- Tech Insights 2026 Week 14
𝗚𝗲𝗺𝗶𝗻𝗶 𝟯.𝟭 𝗙𝗹𝗮𝘀𝗵 𝗟𝗶𝘃𝗲 pushes real-time voice AI closer to human-level conversation, 𝗧𝘂𝗿𝗯𝗼𝗤𝘂𝗮𝗻𝘁 cuts LLM memory 6x without losing accuracy, and 𝗔𝗥𝗖 𝗣𝗿𝗶𝘇𝗲 releases 𝗔𝗥𝗖-𝗔𝗚𝗜-𝟯, where every frontier model scores below 1%! - Tech Insights 2026 Week 13
𝗠𝗶𝘀𝘁𝗿𝗮𝗹 𝗙𝗼𝗿𝗴𝗲 lets EU companies train LLMs on their own data, 𝗖𝘂𝗿𝘀𝗼𝗿’𝘀 𝗖𝗼𝗺𝗽𝗼𝘀𝗲𝗿 𝟮 is 𝗞𝗶𝗺𝗶 𝟮.𝟱 in disguise, and 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼 goes full-stack 𝘃𝗶𝗯𝗲 𝗰𝗼𝗱𝗶𝗻𝗴!
the einstein tile
A symbol for how we
think
Our symbol is inspired by the “Einstein tile” – a single shape that can tile the plane without repeating. It’s a reminder that real capability often starts simple with one robust building block, assembled into patterns that scale beyond templates.
