Make complex processes observable.
On every project, the reasoning behind key decisions is scattered across emails, models and people's heads, and lost at the next handover. Fabrimind captures it and puts it to work on the next decision.
Intelligence systems for complex, knowledge-intensive work.
We design and build systems that help architecture, engineering and construction firms see how their projects run, decide what to do next and act on it, grounded in their own data and expertise.
Make processes observable
Reconstruct how work actually runs from documents, emails, models and records, so decisions and handovers leave a trace.
Support better decisions
Bring relevant precedent, risks and options to the point of decision, with the reasoning shown.
Carry out the next step
Agents that do well-defined work inside existing workflows, with people kept in the loop.
Solutions and Platforms
Each solution runs on Fabrimind's core engine. Where we co-develop a solution with experts in a domain, they lead each engagement and make the calls, and we build the intelligence system they work with.
Decision and knowledge engine
Turns the record of real processes into a searchable, traceable account of how work happens. It sits under everything we build.
Explore the platform
In developmentTough-tech due diligence
An agentic diligence platform that helps assess the science, economics, risks and scale-up path of early-stage deep-tech ventures.
Explore the platformIn developmentPower-to-X
Techno-economic and feasibility tooling for green hydrogen, ammonia and e-fuel projects, from concept screening to a decision-ready case.
Explore the platformPartners and collaborators
Complex work runs on decisions and expert judgement, but rarely keeps a record or learns from it.
Knowledge is locked in separate tools
Documents, emails, models and minutes are hard to turn into usable knowledge.
Context leaks when work changes hands
Between people, teams and phases, the understanding behind the work rarely travels with it.
The reasoning behind decisions is rarely recorded
When something goes wrong, the trail is cold and the lesson is lost.
Insight rarely reaches the next decision
Leaders see cost and schedule, not how the work gets done, and analysis seldom arrives in time to change what happens next.
For teams whose work is complex, high-stakes and hard to get right.
From engineering and energy projects to deep-tech investment: organisations where expertise is scarce, decisions are costly and knowledge is lost between people, teams and phases. If that sounds like yours, we'd like to hear from you.
Book a call with the founderA traceable account of what was decided, when, why and by whom.
Our core engine turns the record of real processes into a searchable, traceable account of how work actually happens. It is the foundation our recommendations and actions are built on.
It is under development and not yet available. We're working with a small number of people to shape it, and we'll share more as it matures.
Talk about what it could mean for you →Why Fabrimind.
A focus on decisions
We start from the reasoning behind decisions and the context that moves through an organisation, so whatever our systems recommend or do can be traced back.
Research roots
Backed by top-tier research institutions, and built by a founder with industry experience on methods for reconstructing processes from data.
One engine, many fields
One core engine underneath, taken deep in each field with partners who know it, across energy, engineering and architecture, so learning compounds.
Every decision leaves a trace. We make the next one better.
Bring us a costly decision or process: a design review, a bid, a handover that keeps going wrong. We'll show you what an intelligence system could see in it, and what it could recommend and act on.
Or email hello@fabrimind.com