the intelligence layer for your entire organization

Uncertainty costs
you millions.
It shouldn’t.

insora lets your entire organization make better decisions and save valuable time by turning fragmented internal and external information into one decision-ready knowledge graph. Every high-stake decision is based on a logical hypothesis system and complete, verified data. EU-sovereign. Fully transparent. No hallucinations.

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EU-sovereign Zero hallucinations No US LLMs GDPR by design
Integrates with
The problem

Your organization is leaking millions. Unnoticed.

Every day your team makes decisions based on incomplete information, even though it exists: buried across tools and inboxed, trapped in the brilliant minds of the people in your organization, or hidden in a deck nobody can find.

Hover to resolve · Click for details
with insora
2.5h/day
lost per person,
searching for information
2.5h
lost per person,
searching for internal and external information

People cross Slack, email, SharePoint, SAP, and more before finding an answer — if it exists, if they can access it, if anyone remembers it.

≈ €12,500 / person / year
Click to return to visualization
with insora
30%
of work duplicated,
because nobody found what already existed
30%
of work duplicated,
because nobody found what already existed

Decks rebuilt, research repeated, questions re-answered. Parallel teams solve the same problem twice. It scales with every hire.

Cost scales with headcount
Click to return to visualization
with insora
32%
of your available knowledge is used for a decision
32%
of your available knowledge is used for a decision

Every choice without your full knowledge is a bet — sometimes small, sometimes multimillion-euro. You rarely know which until after.

Risk + opportunity cost: unbounded
Click to return to visualization

For a 100-person organization, this is over €1.2M per year in recoverable losses — before counting a single decision made under incomplete information.

McKinsey Global Institute · IDC for Seagate

Product

Every decision grounded in verified knowledge.

A unified layer that maps what your organization knows, finds what it doesn't, and closes the gap.

insora / knowledge-foundation
Legal
94% coverage · 1,840 facts
Finance
87% coverage · 2,210 facts
Engineering
71% coverage · 3 gaps
Operations
85% coverage · 980 facts
Market Intel
58% coverage · 5 gaps
HR & People
91% coverage · 620 facts
12,400 Total facts
8 Gaps detected
847 Employees
2 min Last sync
How it works

From scattered data to verified knowledge.

Six steps from fragmented information to closed knowledge gaps and better decisions.

01
Connect

Integrate everything your organization already uses — Microsoft 365, SAP, Slack, Salesforce, and 40+ more. Setup takes less than an hour.

Setup < 1h
02
Extract

insora detects entities, relationships, and facts across every connected source. Each extraction is quality-scored. Sensitive data is pseudonymized before processing.

GDPR-compliant
03
Organize

Knowledge structures itself by domain — legal, engineering, finance, operations, market intelligence — reflecting your organization's actual knowledge density.

Auto-structured
04
Simulate

Using Bayesian Value of Information analysis, insora models what your organization's optimal knowledge looks like — tailored to your industry, size, and decision patterns.

VOI-optimized
05
Detect

Every gap between actual and optimal knowledge is surfaced and ranked by decision impact — missing facts, stale documents, unexplored domains.

Gap-ranked
06
Resolve

Specialized agents close gaps automatically: retrieving information, routing questions to the right expert, and adversarially verifying every fact added to the knowledge base.

Adversarial verify
Security & compliance

Built for European enterprise.

EU-sovereign infrastructure, GDPR by architecture, and full audit trails. No compromises.

EU-sovereign infrastructure
Your data never leaves European servers of European companies. No US language models. All processing happens within EU jurisdiction.
GDPR by architecture
Data minimization, right to deletion, and pseudonymization before processing. Privacy is structural, not a policy layer.
Zero hallucinations
Every output is anchored to verified facts in your knowledge base. Adversarial verification catches inconsistencies before they reach decisions.
Full audit trails
Source tracing for every answer. Full audit logs of who accessed what, when, and why. No black-box decisions.
Role-based access control
Keycloak SSO, RBAC, and role import. Every user sees exactly what their role allows — nothing more.
On-premises deployment
Run insora entirely within your own infrastructure. ISO 27001 preparation included. SLA-ready for enterprise contracts.
Infrastructure status
EU-WEST-1 · Frankfurt Operational
EU-CENTRAL-1 · Munich Operational
Data encryption at rest AES-256
Data encryption in transit TLS 1.3
ISO 27001 audit In progress
Last security scan 2 min ago
All data remains within EU jurisdiction at all times. No US-based model providers are used in any processing pipeline.
About us

The people behind insora.

We met at an accelerator in London. We believe AI should be accessible, intuitive, safe, and highly capable for organizations of all kinds.

Benno Rothe
Benno Rothe
CEO

Hey, great to see you here - I'm Benno! I graduated from Karlsruhe Institute of Technology (KIT) and UC Berkeley with a degree in Industrial Engineering & Operations Research with distinction. At KIT, I founded and led SkyLab, a student club focused on autonomous drone technology. In contrast to my technical background, I've always been passionate about art and design... and if I'm not creating things, you'll find me playing basketball, snowboarding in the Alps (since I was 5!) or taking my old Yamaha XT 500 on an adventure which I restored with my dad.

Industrial Engineering Operations Research
Adam Kuča
Adam Kuča
CTO

Hey, I'm Adam! I studied Computer Science at the University of St Andrews and U Michigan. Before co-founding insora, I built production ML systems at Blindspot AI, and a complete system to enhance satellite imagery. Currently, I'm focusing on Applied Machine Learning and building highly capable & useful agentic networks; at university I led the largest student tech & computing society. When I'm not training models, I'm usually in the gym or learning something new before most people wake up.

Applied ML Agentic Systems
Research foundation
Built on decision theory from KIT, UC Berkeley, St Andrews, and U Michigan
Bayesian Value of Information · Adversarial knowledge verification · Organizational graph theory
View research
Early adopters

Where we are.

The application period is completed. We are now working with our early adopter cohort. If we have capacity, we will onboard more.

Book a demo Test insora
Nov – Dec 2025
Application phase
Open call for early adopter organizations. 50+ applications received.
December 31, 2025
10 early adopters selected
Cohort finalized. Custom onboarding and direct founder access for each organization.
Jan – Apr 2026
Iterative improvement with early adopters
Weekly feedback cycles. Knowledge graph optimization. Agent capability expansion based on real organizational data.
April 2026
Security audit & enterprise hardening
Penetration testing. ISO 27001 preparation. Keycloak SSO finalized. Enterprise deployment playbook.
Apr – May 2026
Enterprise rollout
Onboarding of enterprise clients with dedicated integration support, SLAs, and on-premises deployment option.

Ready to close your knowledge gaps?

Join organizations already making better, faster decisions with insora. EU-sovereign. No US LLMs. Up and running in under an hour.

Book a demo Test insora