Case study Built by unicrew
AI-powered knowledge management
Snaplore is unicrew's own product, built and operated in-house. It uses AI to transform how organizations document, structure, and share information, making meetings, training, and project discussions instantly accessible and actionable.
Snaplore turns meetings, screen recordings, and calls into organized, searchable, and actionable knowledge. It is unicrew's own product rather than client work: we designed and built it, and we still run it.

- Focus
- Built by unicrew, AI, Productivity
- Market
Ukraine
- Engagement
- unicrew's own product, full-cycle build
- Stack
Whisper AI
OpenAI / ChatGPT
WebRTC
AWS
Outcome at a glance
What this project delivered, in numbers.
- Up to 60%Less time on documentationReported by Snaplore's clients
Overview
Snaplore addresses the modern documentation dilemma: teams capture critical insights in meetings, screen recordings, and calls, but those assets often end up lost or underused. Snaplore bridges that gap, turning every spoken word or screen demo into organized, actionable, and easily accessible knowledge. It is a revenue-generating product with active users, sold and operated by unicrew.
Key facts
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Industry: SaaS, enterprise collaboration, knowledge management
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Ownership: unicrew’s own product, built, sold, and operated in-house
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Key technologies: Whisper AI, OpenAI / ChatGPT, WebRTC, AWS cloud infrastructure
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Integration: works as a standalone platform or alongside existing tools such as Slack and Google Workspace
The challenge
Building Snaplore meant bridging the gap between “captured” data and genuinely useful knowledge while navigating a volatile technical landscape. The team had to architect for rapidly evolving AI models and strict enterprise-security requirements at the same time, all while keeping integrations seamless across fragmented third-party platforms like Zoom and Google Meet.

The solution
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AI-driven knowledge generation: turn any meeting or recording into searchable documentation.
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Snaplore Assistant: the AI can autonomously join meetings and record every discussion for you.
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Collaboration and sharing: tag teammates, comment, and share knowledge in a single click.
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Enterprise-ready: secure, scalable, and customizable for any organization.

The result
Snaplore’s clients report up to 60% less time spent on documentation, with much higher satisfaction with how knowledge is shared and retained. Collaboration improved, repeat questions dropped, and even teams that used to resist documentation now contribute naturally, simply by showing up and doing their work. That figure comes from the customers of a product unicrew owns and operates, so it is our own measurement: a maximum reported by real users rather than an average or an audited benchmark.
Owning it is the part that changes what we can tell a client. We live with the model upgrades, the integrations that break when a third party ships, and the bill for keeping an AI product running once the launch is over. The internal agent build behind our own project reporting is in the AI-powered automation for project management study, and the client engagements, with the clients speaking for themselves, are on our client reviews page.
06/Technologies
Technologies on this project
Backend
WebRTC
AI & Data
Whisper AI
OpenAI / ChatGPT
Cloud
AWS
07/Quick answers
The questions behind the project
Is Snaplore a client project or unicrew's own product?
It is ours. unicrew designed, built and operates Snaplore, and it is a revenue-generating product with active users rather than an engagement someone hired us for. It is published here as an example of our product development work.
What technologies does Snaplore's knowledge platform run on?
Whisper AI, OpenAI / ChatGPT, WebRTC, and AWS cloud infrastructure. Those are what turn a meeting or a recording into searchable documentation. Snaplore runs as a standalone platform or alongside existing tools such as Slack and Google Workspace, and it is built enterprise-ready: secure, scalable, and customizable for any organization.
What was the hard part of building Snaplore?
Bridging the gap between captured data and genuinely useful knowledge, while navigating a volatile technical landscape. The team had to architect for rapidly evolving AI models and strict enterprise-security requirements at the same time, all while keeping integrations seamless across fragmented third-party platforms like Zoom and Google Meet.
What does the up-to-60% documentation figure actually mean?
Snaplore's clients report up to 60% less time spent on documentation and much higher satisfaction with knowledge sharing and retention. This is a maximum, rather than an average, based on feedback from users of a product unicrew owns. It is a directional result, not an audited benchmark. Clients also report better collaboration, fewer repeated questions and greater participation in documentation.