A knowledge warehouse for the enterprise

Trusted knowledge,
built for the enterprise.

atlaswiki turns fragmented operational knowledge — from docs, systems, tickets and people — into structured, governed, linked assets your business can actually rely on.

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Shaped by research with 10 large European businesses.
The problem, in three steps

A knowledge problem becomes a business problem.

IKnowledge chaos

Many documents, zero clarity

  • OutdatedNo review, no ownership
  • InconsistentVersions of truth conflict
  • UnfindableSearch returns noise
  • SiloedLocked in teams and tools
IIKnowledge illusion

Information overload, low trust

  • Unsure what's currentEmployees can't tell what to trust
  • Experts overloadedPinged in chat instead
  • Shadow docsSpread across Slack and drives
  • AI inherits itSame stale data, amplified
IIIBusiness impact

Hidden cost, every quarter

  • Delivery speedDelayed releases
  • Delivery qualityRework and instability
  • Cost efficiencyHours wasted weekly
  • ExperienceBugs, burnout, attrition
External research
It isn't just our customers. The numbers are everywhere.
HBR · 2025
0%
of work time wasted searching for & recreating knowledge.
Microsoft · 2023
0%
of employees struggle to find the information they need.
Deloitte · 2023
$0K/emp/yr
wasted per employee, per year, on bad knowledge management.
Atlassian · 2025
0hrs/wk
lost to inefficiencies like missing or stale knowledge.
What we heard · 10 large European businesses

We asked department heads, PMs and engineers. They said the same thing.

We interviewed teams across enterprise software, fintech, telecom and media. The pattern was consistent: the knowledge exists, but it can't be trusted or found.

“

Fix search. We can never find what we know exists.

Engineering lead · CRM software scale-up, Baltics
“

Both internal and external documentation is broken.

Platform engineer · Global enterprise software firm
“

We experience every one of the Confluence problems you listed.

Product manager · Multi-billion fintech, UK
“

There isn't much structure at all when it comes to documentation.

Senior engineer · Music streaming company, Nordics
“

Keeping content up to date is always a challenge. It's a people problem as much as a tooling one.

Department head · European telecom operator
“

Proper documentation would have saved me a lot of time.

Engineer · Billion-dollar fintech, Sweden
What good looks like

The jobs a knowledge warehouse has to do.

Not another wiki. Concrete outcomes — from incidents to RFPs, decisions to retention.

Urgent questions

Fast, correct answers

Reply to a customer RFP or share a six-month incident report — same day.

Incidents

React & prevent faster

Find fix instructions, document root cause, link to similar incidents.

Decision integrity

Who, why & when

Trace why we use Java instead of Python — and what comes next.

Retention

Knowledge outlasts people

An expert departs; the knowledge stays intact, owned and reviewable.

Automation

Semi-auto capture

Incident reports pre-fill from tickets, alerts and architecture.

Costs

Clarity & savings

Understand which cloud services are costing more — and why.

Architecture

Four customer outcomes, on a single governed foundation.

A purpose-built stack — outcomes at the top, engine in the middle, a structured data model and secure infrastructure underneath.

atlaswiki KNOWLEDGE WAREHOUSE LIVE INTEGRATIONS Tickets Code Incidents Metrics Comms Proprietary, NDA-protected data models & algorithms Reach out directly for more information. Ask anything about our systems… Verified Fresh 12 sources Auto-maintained
What we measure

Connected to numbers the business already tracks.

ownership
0%
▲ 12pp
freshness
0%
▲ 8pp
onboarding
−0%
▼ ramp days
throughput
+0%
▲ capacity
The team

Two operators who've lived this problem.

Technology lead

Karen Ofljan

10+ years in software engineering — previously a senior engineer building production systems at companies that ran into the exact knowledge problems we're solving.

Pactum AIPipedriveZendesk
Product lead

Rein-Oliver Alasoo

8+ years as PM & team lead across data, analytics and AI — including time inside a large European bank, seeing every angle of enterprise knowledge chaos firsthand.

SwedbankData & AI
FAQ

Questions, answered.

What atlaswiki is, who it's for, and how a knowledge warehouse changes the way teams rely on what they know.

What is atlaswiki?
atlaswiki is a knowledge warehouse for internal company knowledge. It helps companies make critical knowledge easier to find, trust and maintain across teams.
What problem does atlaswiki solve?
In many organizations, internal knowledge is scattered, outdated, duplicated or dependent on a few people. This creates hidden cost through slower onboarding, repeated work, poor decisions, avoidable escalations and lower confidence in internal AI.
What is a knowledge warehouse?
A knowledge warehouse is a trusted layer for company knowledge. It helps organizations manage internal knowledge with more structure, ownership and reliability, so teams can depend on it in daily work.
How is atlaswiki different from a traditional wiki?
Traditional wikis often become passive document repositories. atlaswiki is focused on making knowledge more reliable, structured and operationally useful for real business workflows.
Who is atlaswiki for?
atlaswiki is built for growing and larger organizations where internal knowledge affects productivity, quality, operations, support, onboarding and decision-making.
What kind of knowledge can teams manage in atlaswiki?
Teams can use atlaswiki for internal documentation, onboarding materials, operational processes, technical knowledge, product knowledge, support information, policies and other business-critical knowledge.
How does atlaswiki help with AI?
Internal AI depends on the quality of the knowledge behind it. atlaswiki helps companies build a more reliable knowledge foundation so AI tools can provide more useful and trustworthy answers.
How can we get started with atlaswiki?
The best starting point is a focused area where poor knowledge already creates cost — such as onboarding, IT operations, support, product documentation or internal AI readiness. From there, atlaswiki can expand across teams and use cases.
Invitation for cooperation

Let's fix broken knowledge — together.

We're working with a small group of design partners to build the first real knowledge warehouse for the enterprise. If any of this resonated, we'd love to talk.

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