CogniCache is the Smart Way to Preserve Your Team's Knowledge: Imagine your organization’s critical expertise as gold dust — precious but easily lost. CogniCache is your intelligent AI assistant that captures this valuable tacit knowledge through interviews, automatically transforming it into clear, actionable documents.

The Future of Knowlege Capture enabled by state-of-the-art AI

When knowledge isn’t shared, progress stalls and work is repeated. CogniCache preserves critical know-how when people leave, while also enabling continuous capturing and sharing of expertise across teams. Captured knowledge is analyzed and transformed into actionable insights—helping you optimize your knowledge base and improve daily work.

$47M lost each year!

Large U.S. businesses lose $47 million each year due to inadequate knowledge sharing practices.

With CogniCache you are not one of them!

Be different and use CogniCache to leverage valuable tacit knowledge for innovation to stay ahead of the competition.

Need more information?

Learn how CogniCache can help your organization and get an exclusive report on the future of knowledge management for free below!

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When Knowledge Walks Out or Gets Lost in Silence...

At InnoTech, critical operations collapsed after a seasoned expert retired—taking decades of know-how with him.
At NovaTech, teams unknowingly repeated each other’s mistakes, wasting time and money solving problems that had already been solved elsewhere.
These are not rare events—they’re everyday risks when tacit knowledge goes uncaptured. CogniCache exists to stop this.Explore the full stories or discover in the following how we help organizations preserve their hidden expertise before it disappears — and turn it into a powerful, accessible knowledge advantage.

• Explore Stories You Might Recognize

CogniCache is a state-of-the-art multi-agent system leveraging the latest technology in AI, especially powerfull Large Language Models. It lays the foundation for a scalable, AI-ready knowledge ecosystem by unlocking and structuring tacit knowledge—turning hidden expertise into searchable, reusable insights. It not only preserves critical know-how but also delivers actionable analytics that help you optimize your knowledge base and improve your daily work.

CogniCache provides value for all companies wanting to preserve knowledge, especially for:

Preserve Valuable Institutional
Wisdom

Ensure critical employee insights and expertise are retained and made available company-wide to enable learning and growth across siloes.

Motive your Teams to Document Knowledge

Guided, intuitive and AI-powered interviews and automated processing simplify knowledge capture, increasing employee participation & satisfaction.

Get More From Your Knowledge with Actionable Insights

Well-structured documentation with key insights enable you to get actionable recommendations to optimize your knowledge and improve daily work.

Boost Innovation & Decision-Making Processes

Turn core expertise into structured knowledge—accessible company-wide to boost productivity, drive strategy, and eliminate duplicated effort.

Imagine a workplace where AI delivers the right knowledge instantly. CogniCache makes it possible by transforming hidden expertise into structured content that powers solutions like Retrieval Augmented Generation (RAG) and smart chatbots—boosting efficiency, enabling innovation, and preparing your organization for an AI-driven future. Without structured input, even the best AI tools fall short—CogniCache closes that gap.

1. Plan Interview

Select an existing template or start by entering your topics and participants. CogniCache generates a structured, tailored interview guide based on your organization's unique needs and your role. You can review and adjust easily.

2. Conduct Interview

Engage in a single or group interview guided by an intuitive AI assistant—whether through voice or chat. Unlike simple transcribers, CogniCache’s AI doesn’t just record; it asks smart follow-up questions, explores topics from multiple angles, reasons over responses, and structures the output into clear, usable insights.

3. Receive Results

CogniCache transcribes, summarizes, and structures your captured knowledge into clear, organized documents. You can review and adjust to ensure correctness and completeness. Once finished integrate the output into your existing knowledge bases.

With CogniCache it is easy and intuitive. Just follow these 10 simple steps guided by our AI assistants:

Repeat the process anytime to keep your organizational knowledge fresh, accessible, and actionable. Further you can define and review key metrics. Over time get personalized suggestions to optimize your knowledge and daily work based on the captured insights.

How can you get the most out of CogniCache?

To maximize value from CogniCache, integrate it into existing workflows and processes where key knowledge surfaces—like project wrap-ups, onboarding, or role transitions. Drive adoption by setting clear KPIs and rewarding contributions, making knowledge capture part of team and individual goals. Encourage teams to capture insights regularly through structured interviews and integrate outputs into tools like SharePoint or Confluence. This builds accountability and turns CogniCache into a strategic part of everyday work.

Easily conduct your interviews with chat mode

Easily record your interviews using voice mode

View, edit, download or share your recorded interviews

Use pre-existing templates or create your own

Get insights with key metrics for team performance and more

Get personalized suggestions to optimize your daily work

People & Expertise Retention

Project & Process Intelligence

Collaboration & Knowledge Flow

Compliance & AI Enablement

A Smarter Way to Capture Expertise

"CogniCache addresses a real gap—we’ve struggled for years to capture the expertise leaving with our people. This is the first solution that makes it easy."

Peter - Global Operations Manager

Making Knowledge Sharing Effortless

"I love how CogniCache helps me structure my insights and easily share them across teams—it saves time and actually makes documentation feel useful."

Sabrina - Senior Product Analyst

Structured Knowledge for Advanced Solutions

"CogniCache delivers structured outputs we can export into our existing systems—finally giving us a foundation for RAG and next-gen knowledge management."

Nick - Solution Architect, Enterprise IT

Making Our Organization Ready for the Future

"Structured knowledge is no longer a nice-to-have — it’s a strategic necessity. CogniCache helps us retain knowledge that matters and stay ready for what’s next."

Olivia - Chief Executive Officer

Free CogniCache Report

Download the CogniCache Report"Before It’s Lost Forever: The
Strategic Power of Capturing
Tacit Knowledge Now"and explore some key insights below.

64% reported loss of knowledge

67% of IT leaders are concerned about the loss of knowledge and expertise when employees leave. 64% of organizations reported they have indeed suffered knowledge loss due to people leaving.

42% of knowledge is unique

Approximately 42% of institutional knowledge is unique to individual employees, making it inaccessible to others when those employees are unavailable or leave the organization.

85% agree that unique
knowledge is critical

85% of employees agree that preserving and sharing unique knowledge is critical to productivity, implying that when it’s not done, productivity suffers broadly.

Companies lose roughly 20% of productivity

Companies lose roughly 20% of productivity due to knowledge inefficiencies – a figure that effective KM can significantly cut down.

Why is CogniCache unique?

CogniCache isn’t just another knowledge management tool — it’s the foundation for a future-proof, AI-powered knowledge ecosystem.
Capture, structure, and document expertise effortlessly — so knowledge fuels innovation instead of getting lost.

Sign up now to unlock exclusive early-access benefits and be among the first to turn your organization’s expertise into a strategic advantage.

More questions about CogniCache?
We’ve got answers!

We have compiled a list of FAQs, which cover the top questions from CogniCache enthusiasts and supporters. Have a look and feel free to reach out directly if there are any remaining questions!

• Read Our FAQs

Step 1: You define the interview guide supported by the CogniCache Assistant (demo topic: "Preserving Critical Knowledge in Engineering Projects")

Result 1: Interview Guide

Topic: Preserving Critical Knowledge in Engineering ProjectsIntro
This interview explores how your team handles the documentation, transfer, and reuse of project-related expertise — particularly the tacit knowledge that often goes undocumented but is critical to operational success.Chapter 1: Context & Knowledge Flow
Goal: Understand how knowledge flows in typical projects
Questions:
- Can you briefly describe your role and how it connects to engineering projects?
- In a typical project, where is most of the knowledge captured and stored?
- How do team members usually access project-related insights?Chapter 2: Capturing Tacit Knowledge
Goal: Identify current practices and gaps
Questions:
- When valuable lessons are learned during a project, how are they documented?
- How do you capture knowledge that exists mostly in people’s heads?
- Are there any people on your team who are “go-to experts,” and how is their expertise shared?Chapter 3: Challenges & Risks
Goal: Explore barriers to effective knowledge capture
Questions:
- Have you ever experienced knowledge loss when someone left the team?
- What’s the biggest obstacle to getting people to document what they know?
- Are there any organizational or technical barriers that prevent knowledge sharing?Chapter 4: Learnings & Best Practices
Goal: Uncover strategies that work
Questions:
- What has worked well in your organization for knowledge sharing?
- Can you share an example of when well-documented knowledge saved the day?
- If you could design your ideal knowledge capture tool, what would it do?

Step 2: You conduct the conversational interview either using chat or voice mode based on the defined interview guide.

Result 2: Interview Transcript

Intro & Chapter 1: Context & Knowledge Flow🤖 CogniCache Assistant: Hi! Great to meet you. Let’s dive into how your team captures and shares knowledge. To get started, could you briefly describe your role and how it connects to engineering projects?
🧑🏽 User: I’m a project engineer overseeing cross-functional teams for product launches. I manage workflows and ensure technical consistency across all deliverables.🤖 CogniCache Assistant: Got it—so you’re deeply involved across different touchpoints. In that context, where does most of your team’s knowledge typically get captured or stored?
🧑🏽 User: Mostly in email threads, PowerPoint updates, and SharePoint folders. Some teams use OneNote for task-specific notes.🤖 CogniCache Assistant: Thanks! That sounds like a mix of informal and semi-structured sources. Would you say these are easy for others to find and navigate later?
🧑🏽 User: Not really. Most people just ask around or dig through folders. There’s no central place for lessons learned or knowledge.🤖 CogniCache Assistant: So it’s more person-dependent than system-driven. That can create gaps when people move on or aren’t available, right?🧑🏽 User: Exactly. It really slows us down sometimes.⸻Chapter 2: Capturing Tacit Knowledge🤖 CogniCache Assistant: Let’s talk about the know-how that often stays in people’s heads. When valuable lessons are learned mid-project, how are they usually documented—if at all?
🧑🏽 User: Honestly, they’re rarely written down. Maybe someone adds a slide or two to a presentation, but that’s about it.🤖 CogniCache Assistant: That’s common. Would it help if there were a lightweight, structured way to capture that info during or right after the work is done?
🧑🏽 User: Absolutely. Right now, it’s just not part of the process.🤖 CogniCache Assistant: And during handovers—especially in cross-functional teams—how do you capture what’s in people’s heads before they roll off?
🧑🏽 User: We try to do a knowledge transfer meeting, but it’s usually rushed. There’s no structure, so important things get missed.🤖 CogniCache Assistant: That can be risky. Do you have any go-to experts whose knowledge others rely on?
🧑🏽 User: Yes, for sure. For example, we have a couple of people who really understand our test automation stack. People go to them all the time.🤖 CogniCache Assistant: Are their methods or decisions documented anywhere?
🧑🏽 User: Not really. It’s mostly in their heads—or you need to ping them directly.⸻Chapter 3: Challenges & Risks🤖 CogniCache Assistant: Has your team experienced the impact of knowledge walking out the door?
🧑🏽 User: Definitely. Our lead electrical engineer left last year, and we had to reverse-engineer a bunch of his work. It cost us weeks.🤖 CogniCache Assistant: That must’ve been frustrating. What was the biggest challenge in trying to recover that knowledge?
🧑🏽 User: Time, mostly. People are busy. There was no detailed handover, and the tools we have aren’t user-friendly.🤖 CogniCache Assistant: So even if people want to document something, the effort feels too high?
🧑🏽 User: Exactly. No one enjoys doing it, and there’s no clear format or process anyway.🤖 CogniCache Assistant: Is there an expectation or incentive for knowledge sharing in your team?
🧑🏽 User: Not really. It’s more of a “nice to have.”⸻Chapter 4: Learnings & Best Practices🤖 CogniCache Assistant: Let’s switch gears—what has actually worked well in terms of knowledge sharing in your org?
🧑🏽 User: Brown bag sessions work surprisingly well. And we’ve started recording walkthroughs for onboarding.🤖 CogniCache Assistant: That’s great! Recorded walkthroughs can be really valuable. Has there been a moment where good documentation saved the day?
🧑🏽 User: Yes! Our test automation lead once created a decision tree to troubleshoot common system errors. It’s saved us countless hours.🤖 CogniCache Assistant: That’s exactly the kind of structured insight others could reuse. If you could design your ideal knowledge tool, what would it do differently?
🧑🏽 User: It would ask smart questions, organize everything clearly, and ideally feed straight into our existing systems.🤖 CogniCache Assistant: Thanks—that’s super helpful. That’s exactly the kind of support CogniCache aims to provide: smart interviews, structured output, and seamless integration.

Step 3: CogniCache structures the interview transcript, summarizes the text and extracts key insights and improvement options.

Result 3: Structured Interview Document

Summary
This interview explores the challenges and current practices around knowledge capture in engineering projects. The respondent plays a central coordination role and reveals that most critical knowledge remains undocumented. Tools like email and SharePoint are used, but they lack structure and consistency. Tacit knowledge — especially from experts — is hard to extract and often lost during employee transitions. Opportunities exist for AI-powered tools like CogniCache to automate and simplify structured knowledge retention.Section 1: Context & Knowledge Flow
The user works as a project engineer overseeing cross-functional teams. While technical documentation exists in scattered formats (e.g., PowerPoint, OneNote), there is no single, structured repository for lessons learned or historical decisions. Access to past insights is informal and heavily reliant on person-to-person communication, leading to inefficiencies.Section 2: Capturing Tacit Knowledge
The current approach to capturing lessons learned is inconsistent and largely dependent on individual initiative. Tacit knowledge from experienced team members is rarely documented and typically accessed through verbal communication. This reliance on informal exchanges creates knowledge silos and bottlenecks.Section 3: Challenges & Risks
The organization has experienced clear cases of knowledge loss. When experienced team members leave, critical information disappears with them, leading to delays, rework, and loss of continuity. Time constraints, a lack of incentives, and unintuitive tooling were named as the top barriers to effective documentation.Section 4: Learnings & Best Practices
Despite the challenges, small-scale practices such as team-led learning sessions and pre-recorded walkthroughs have had a positive impact. One standout example is a decision tree created by a test automation lead, which significantly reduced support overhead. The ideal solution envisioned by the interviewee would automate the question flow, simplify structuring, and support seamless integration into their existing systems.Key Insights

Improvement Options
Introduce Structured Knowledge Capture at Project Milestones
• Why: Knowledge is currently scattered and informal.
• How: Integrate regular interviews after key phases (e.g. planning, testing, handover) to capture lessons, decisions, and context.
• Impact: Builds a consistent and searchable record over time.Implement Expert Knowledge Extraction Sessions
• Why: Tacit knowledge from senior engineers is undocumented and lost during turnover.
• How: Schedule guided interviews with domain experts (e.g., quarterly), focusing on unique procedures, decisions, and best practices.
• Impact: Reduces dependency on individuals and creates reusable training/reference assets.Embed Knowledge into Centralized Tool
• Why: Documentation is fragmented across emails, OneNote, SharePoint.
• How: Integrate outputs directly into a centralized knowledge platform like SharePoint libraries or Confluence pages.
• Impact: Ensures a centralized location for knowledge access.Create Lightweight Knowledge KPIs
• Why: Documentation is seen as extra work without clear value.
• How: Encourage teams to run at least one session per project phase, and track % of projects with documented insights.
• Impact: Drives behavior change without heavy process overhead.

Final Step: You can now edit, share or download the document and finally integrate it into your knowledge management system of choice.

Story 1: The Lost Wisdom of Thomas Jensen
For nearly two decades, Thomas Jensen had been the unsung hero of InnoTech Corp, quietly keeping their legacy ERP system running. He was known to all as the person to call when things went wrong, able to troubleshoot in minutes issues that left others scratching their heads for hours. But Thomas had never liked documentation. His genius lived entirely within his mind.
The day Thomas retired, the company threw him a celebration, said their thanks, and quickly moved on. They hired a bright, capable replacement named Lucas. Lucas, eager to prove himself, dove straight into the system and made what seemed a simple change—a minor database configuration adjustment. He didn't realize this tweak was precisely what Thomas had avoided for years, knowing the havoc it could unleash.
Within days, the ERP system began to falter. Inventory counts were suddenly incorrect, purchase orders stalled, and customer orders were delayed. The heart of InnoTech's operations slowed, then stopped. Panic ensued. Managers and IT scrambled to find documentation or insights left behind by Thomas—but found nothing. Hours turned into days, and still, the problem persisted.
With each passing day, losses mounted. Millions evaporated in delays, lost sales, and customer dissatisfaction. Consultants were hired, costing even more, but without Thomas's tacit knowledge, progress was slow and costly.
Finally, after weeks of chaos, Thomas was called back from retirement as a last resort. Within mere hours, the problem was fixed. But the damage was done. The company realized, painfully, that the knowledge they had relied on was now walking out the door for good.

Story 2: The Costly Repetition of History
At NovaTech Industries, the product development team in Vienna was racing to meet a critical deadline on a major project—a new-generation industrial sensor system. They hit a snag when the sensor readings became erratic under specific conditions, threatening the project's timeline and client commitments.
What the Vienna team didn't know was that, just six months earlier, their colleagues in Munich had faced—and solved—the exact same issue during a similar project. The Munich team's struggle had lasted weeks, involving extensive trial and error, consultations with external experts, and significant financial expenditure.
But none of that valuable experience was captured effectively. Without structured documentation, these insights vanished into internal emails, presentations and scattered meeting notes—completely invisible to the Vienna team now desperate for answers.
As days turned into weeks, the Vienna team unknowingly repeated the Munich team's costly journey, duplicating their effort, time, and expenditure. The delay strained client relationships, incurred financial penalties, and consumed resources that could have been deployed elsewhere.
Months later, during a regional meeting, the two teams exchanged project updates. The moment the Munich engineers described their previous challenges, the Vienna team’s frustration was palpable. Both groups realized they had inadvertently squandered company resources by failing to effectively preserve and share critical knowledge.

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