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AI should make critical work more defensible — not less.
Raekta is a Swedish deeptech company building evidence-grade AI for analytical work where conclusions must withstand scrutiny. We are creating a working environment where experts can use AI without giving up provenance, reviewability or control.
A foundation for defensible expert work.
A different foundation for
AI-assisted knowledge work.
A foundation for defensible expert work.
AI can produce useful and increasingly convincing answers. Critical expert work requires something more: a way to inspect what a conclusion rests on, how it was produced, what remains uncertain, and where human judgment entered the process.
We believe source material should remain distinguishable from interpretation, analytical scope should be explicit, conflicting evidence should remain visible, and consequential findings should stay open to review. These principles matter when AI assists an expert today — and become even more important as systems are trusted with more of the work.
That is the foundation Raekta is built on.
AI can produce useful and increasingly convincing answers. Critical expert work requires something more: a way to inspect what a conclusion rests on, how it was produced, what remains uncertain, and where human judgment entered the process.
We believe source material should remain distinguishable from interpretation, analytical scope should be explicit, conflicting evidence should remain visible, and consequential findings should stay open to review. These principles matter when AI assists an expert today — and become even more important as systems are trusted with more of the work.
That is the foundation Raekta is built on.
Raekta
Raekta
from Icelandic rækta.
to cultivate · to nurture · to develop over time
from Icelandic rækta.
to cultivate · to nurture · to develop over time
from Icelandic rækta.
to cultivate · to nurture · to develop over time
We chose the name because organizational capability should be cultivated — built through repeated work and made stronger over time.
Every investigation, inspection and difficult analytical task creates more than a final answer: it creates evidence, execution history, review decisions and hard-won expert judgment. Too often, that experience disappears into reports, conversations and one-off outputs. The next team — or the next AI agent — starts again with little more than the conclusion.
Our vision is a world where organizational capability compounds with every generation of work.
We are building Raekta so that reviewed findings, validated methods and expert corrections can become a stronger starting point for future work — helping organizations become progressively better at performing it.
We chose the name because organizational capability should be cultivated — built through repeated work and made stronger over time.
Every investigation, inspection and difficult analytical task creates more than a final answer: it creates evidence, execution history, review decisions and hard-won expert judgment. Too often, that experience disappears into reports, conversations and one-off outputs. The next team — or the next AI agent — starts again with little more than the conclusion.
Our vision is a world where organizational capability compounds with every generation of work.
We are building Raekta so that reviewed findings, validated methods and expert corrections can become a stronger starting point for future work — helping organizations become progressively better at performing it.
From evidence-grade analysis to accountable autonomy.
TODAY
TODAY
Evidence-grade analysis
Evidence-grade analysis
Experts can inspect and defend AI-assisted findings.
NEXT
Governed workflows that learn from reviewed work
Reviewed knowledge and validated methods strengthen what comes next.
LONG TERM
Accountable autonomy
Agents perform increasingly complex work within explicit authority limits — with inspectable decisions and human oversight.
From evidence-grade analysis to accountable autonomy.
TODAY
TODAY
Evidence-grade analysis
Evidence-grade analysis
Experts can inspect and defend AI-assisted findings.
NEXT
Governed workflows that learn from reviewed work
Reviewed knowledge and validated methods strengthen what comes next.
LONG TERM
Accountable autonomy
Agents perform increasingly complex work within explicit authority limits — with inspectable decisions and human oversight.
From evidence-grade analysis to accountable autonomy.
TODAY
TODAY
Evidence-grade analysis
Experts can inspect and defend AI-assisted findings.
Experts can inspect and defend AI-assisted findings.
NEXT
Governed workflows that learn from reviewed work
Reviewed knowledge and validated methods strengthen what comes next.
LONG TERM
Accountable autonomy
Agents perform increasingly complex work within explicit authority limits — with inspectable decisions and human oversight.
Built around evidence, process and expert judgment.
Built around evidence, process
and expert judgment.
Built around evidence, process and expert judgment.
Evidence before assertion
Conclusions should remain tied to the exact material they rest on — including supporting evidence, contradictions, gaps and unresolved evidence.
Conclusions should remain tied to the exact material they rest on — including supporting evidence, contradictions, gaps and unresolved evidence.
Experts retain authority
Models can interpret, propose and synthesize. Experts and governed processes decide what is reviewed, accepted and published.
Process should be inspectable
AI-assisted work should leave a durable record of what ran, what it used and what happened along the way.
The team behind Raekta
The team behind Raekta
Johan Kristiansson
Co-founder · CTO
Johan leads the architecture and development of Raekta’s technology. He is an Associate Professor at Luleå University of Technology, working across distributed systems, computing continuums and AI-agent orchestration. He founded and leads the development of ColonyOS and created the ProcessChain execution model that underpins Raekta. His background includes more than 15 years of industrial software and systems research at Ericsson, RISE, Mobilaris and RockSigma.
LinkedIn ↗
Johan Kristiansson
Co-founder · CTO
Johan leads the architecture and development of Raekta’s technology. He is an Associate Professor at Luleå University of Technology, working across distributed systems, computing continuums and AI-agent orchestration. He founded and leads the development of ColonyOS and created the ProcessChain execution model that underpins Raekta. His background includes more than 15 years of industrial software and systems research at Ericsson, RISE, Mobilaris and RockSigma.
LinkedIn ↗
Johan Kristiansson
Co-founder · CTO
Johan leads the architecture and development of Raekta’s technology. He is an Associate Professor at Luleå University of Technology, working across distributed systems, computing continuums and AI-agent orchestration. He founded and leads the development of ColonyOS and created the ProcessChain execution model that underpins Raekta. His background includes more than 15 years of industrial software and systems research at Ericsson, RISE, Mobilaris and RockSigma.
LinkedIn ↗
Martin Engelmark
Co-founder · CEO
Martin leads Raekta’s company development, partnerships and commercialization. He works with the commercialization of deeptech research at LTU Business, with experience spanning technology transfer, company building and industrial innovation. He previously co-founded and scaled Headbanger Lures to $2.5m in sales across the US and Europe, and has earlier experience in technology marketing and engineering from Netrounds and Tieto.
LinkedIn ↗
Martin Engelmark
Co-founder · CEO
Martin leads Raekta’s company development, partnerships and commercialization. He works with the commercialization of deeptech research at LTU Business, with experience spanning technology transfer, company building and industrial innovation. He previously co-founded and scaled Headbanger Lures to $2.5m in sales across the US and Europe, and has earlier experience in technology marketing and engineering from Netrounds and Tieto.
LinkedIn ↗
Martin Engelmark
Co-founder · CEO
Martin leads Raekta’s company development, partnerships and commercialization. He works with the commercialization of deeptech research at LTU Business, with experience spanning technology transfer, company building and industrial innovation. He previously co-founded and scaled Headbanger Lures to $2.5m in sales across the US and Europe, and has earlier experience in technology marketing and engineering from Netrounds and Tieto.
LinkedIn ↗
Working on a problem where the conclusion has to withstand scrutiny?
We are interested in speaking with teams working in technical assurance, inspection, investigation and adjacent forms of critical analytical work.