Most projects mix two of the three below. We finish with something running in your environment.
We look at your business, rank the options by impact and by how hard they are to do, and get your leaders and teams ready to own the result.
Production software that runs in your environment. Agents and copilots that use your own data, with people in the loop where it matters.
Machines, grids, vessels and processes. We engineer it with you, and use Bifröst.SI and Norns.SI where they fit.
Most clients start with a two-week assessment.
Ask about an assessmentBig-bang AI programs fail quietly and expensively. We work in short, measurable phases so every decision to continue is backed by evidence.
We interview stakeholders, review your data and systems, and shortlist use cases. You get a ranked opportunity map and a clear go / no-go recommendation.
One use case, built for real in your environment with real users. We measure against baseline metrics agreed up front, not demo impressions.
Harden the pilot into a production system: security review, monitoring, governance and integration with your existing operations.
Your team is trained, documentation is complete and ownership transfers. We stay available as advisors, not as a dependency.
Working on a physical system? The clock changes. Simulation and supervised trials come before live deployment, and timelines are set by safety and evidence, not sprint dates.
See how Labs engagements runWe deploy inside your cloud or on-premises. Your data does not leave your control.
Success is defined in your numbers: hours saved, cases resolved, revenue influenced.
Every engagement pairs our consultants with your people so capability stays with you.
The bridge between digital intelligence and the physical world.It reads sensor data, simulates your equipment and acts on it, and a person can always take control. We built it ourselves, which is why we can take on work that software-only consultancies can't.
A world model for the physical world, scoped to your problem. It is built on the multidimensional models we pioneered, and it tracks what has happened, what is happening now and what is likely to follow if you act. Use it through an API, a private deployment or inside your own software. You do not need Bifröst.SI to use it.
The chemistry and materials model for Industry 5.0. It maps molecular behavior, predicts chemical reactions, and accelerates formulation synthesis inside your own environment.
The decarbonization and energy optimizer for industry. It finds where heat and power are wasted, moves heavy loads to cheaper hours, and calculates the embedded carbon you need for CBAM reporting.
The EU AI Act auditing suite. It keeps your technical documentation current as AI systems change, sorts each model into the Act's risk tiers and flags the gaps, and keeps a tamper-evident record of inputs, outputs and human overrides.
The copilot for the plant floor. Ask a question about a machine, in words or by pointing a camera at it, and get an answer drawn from live data, the machine's history and your maintenance records. It works on a tablet, a phone or a headset, and the technician makes the call.
The traffic controller for things that move on their own. It plans routes for autonomous forklifts, AGVs, cranes and drones together, and replans every affected vehicle when something changes, like a spill, a blocked aisle or a late truck.
The lifecycle tracker for circular manufacturing. It follows products after they leave the plant, tracks how they wear and fail, and feeds that back to design, so the next version is easier to repair, reuse and recycle. Where you use MalmStoff.SI, it also points to materials that last longer and recycle better.
The quantum-ready solver for hard industrial planning problems. It turns scheduling, routing and dispatch problems into a form quantum machines can work on, runs them next to the best classical solvers, and tells you plainly which one wins. Where quantum is not yet worth it, it says so and gives you the classical answer.
The product development platform with the whole SI suite behind it. Describe what you want to make. Sindri.SI helps you design it, simulates it against physics, materials, energy and cost before anything is machined, checks it against the rules it will meet, and finds a factory that can actually build it. We do not pick your category. If it is physical and lawful, you can develop it here.
The view over everything the SI suite runs for you. One place where the people who own the plant see every SI product they run as one picture: what is live, what is at risk, which decisions are waiting and what each one is costing and saving. Odin.SI does not replace the specialists. It sits above them, pulls their signals together and keeps the record of every decision taken and why.
Cyber-resilience for the equipment your AI runs on. The PLCs, robots, SCADA and edge nodes that run your plant are now targets. Thor.SI inventories every operational asset, watches the industrial protocols they speak, contains what should not be there, drills the response on a digital twin before you need it, and gets production back. Built for NIS2 and the Cyber Resilience Act, by a team that has done security before.
You can buy any of these without the others. Choose the question closest to yours and we will take it from there.
Where would AI actually help us?
Start with a two-week assessment. You get a ranked list of options and a recommendation.
Talk to us about ConsultingHow do we make our machines and plants smarter?
Bifröst.SI reads sensor data, models and simulates your equipment, and can act on it. An operator can always take over.
Talk to us about Bifröst.SICan we get a model of the world we operate in?
Norns.SI builds one around your use case. Use it through an API, a private deployment or inside your own software.
Talk to us about Norns.SICan we predict how our chemistry behaves before we run it?
MalmStoff.SI maps molecular behavior, predicts reactions and narrows formulations. It runs inside your own environment.
Talk to us about MalmStoff.SIHow do we cut energy cost and carbon without slowing production?
Logi.SI finds where energy is lost, moves heavy loads to cheaper hours and calculates embedded carbon for CBAM. It works with Norns.SI and Bifröst.SI.
Talk to us about Logi.SIAre our AI systems ready for the EU AI Act?
Heimdall.SI classifies your systems by risk tier, keeps the technical documentation current and records human overrides. It works on any AI stack, whoever built it.
Talk to us about Heimdall.SIHow do our technicians get answers without waiting for an expert?
Mimir.SI answers questions about a machine from live data, its history and your maintenance records, on a tablet, phone or headset. The technician decides.
Talk to us about Mimir.SICan we stop our vehicles blocking each other when the floor changes?
Sleipnir.SI plans routes for forklifts, AGVs, cranes and drones together, and replans the ones that are affected when something changes.
Talk to us about Sleipnir.SIHow do we make our products easier to repair, reuse and recycle?
Idun.SI tracks how your products wear in the field and feeds that back to design, so the next version lasts longer and recovers better.
Talk to us about Idun.SIIs quantum computing ready for our scheduling and dispatch problems?
Gungnir.SI formulates the problem for quantum and classical solvers, benchmarks both on your data and tells you plainly which one wins today.
Talk to us about Gungnir.SIWe have an idea for a product. Can you help us design it, test it and get it built?
Sindri.SI takes a product from brief to first article: design with real materials, simulate before you machine, check compliance, and find a factory in a global network that can build it.
Talk to us about Sindri.SIWe run several AI systems across our plants. How do we see them as one picture?
Odin.SI is the executive view over everything the SI suite runs for you: live status, open risks, decisions waiting for an owner, and what each system costs and saves.
Talk to us about Odin.SIOur controllers and robots are on the network now. Who is defending them?
Thor.SI inventories every OT asset, watches the industrial protocols for what should not be there, drills the response on a digital twin and gets production back. Built for NIS2.
Talk to us about Thor.SIWe work in defence. Can we talk?
Ragnarok.Defence is a private product shared with approved clients by arrangement. Tell us who you are and we will take it from there.
Talk to us about Ragnarok.DefenceEuropean AI regulation is a design constraint now, not a paperwork exercise. We build the controls into the system as it is built, so compliance is a property of the architecture rather than a document produced afterwards.
Every system is classified against the Act's risk tiers before we write code, so the obligations and the scope are clear from the first week.
The Annex IV documentation set is written as the system is built, not reconstructed from memory when an auditor asks for it.
Meaningful human control at the decision points that matter, with override paths documented, tested, and owned by your team.
Model calls, inputs, and outputs are recorded so any decision can be reconstructed and explained after the fact.
Monitoring and incident reporting that keeps a system compliant after go-live, not only on the day it launches.
GDPR-aligned handling, retention and access control, built into the pipeline from the start.
Because we deploy inside your environment, the evidence stays under your control — and so does the system.
Need the same checks on AI systems we did not build? That is Heimdall.SI.
Industry 5.0 puts people back at the centre of industry, and that is where we start every project. We design AI and Physical AI around the people who will use it, and the experts on our team come from the domains and verticals we work in. They have run plants, fleets, labs and compliance programmes themselves.
We are excited about what humans, AI and the planet can do together. Our clients are in Europe, North America and Asia, and we build the systems with them so their own teams can run what we leave behind.
Our founding team did not learn industry from a textbook. We come from Intel, Symantec, GE, the Gigafactory, NASA-related programmes and a handful of Bay Area startups.
That is why we are comfortable with the problems others call too hard: a scheduling question with more combinations than atoms in the universe, an AI system that has to pass an audit, a model that has to run on a machine on the floor and not in a slide deck. We have stood on those floors, worn the safety boots and owned the outcome. We bring that, quietly, to every engagement.
Finding the opportunities, then getting results into production.
Assistants, retrieval, evaluation and automation for real workflows.
Secure foundations linking your data, your systems and your governance.
Digital twins, sensor ML, supervised autonomy and the multidimensional world models we pioneered.
EU AI Act and GDPR, audit trails and human oversight from week one.
Your team learns the work and takes it over.
The first call is free and usually runs 45 minutes. We will tell you plainly whether AI is the right tool and what a sensible first step looks like.
