Case study Built by unicrew
Revolutionizing Knowledge Management powered with AI
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 AIOpenAI / 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 in 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 ceiling reported by real users rather than an average, and worth reading as a direction of travel.
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 because what our product development practice looks like is visible in it.
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?
It is what Snaplore's clients report: up to 60% less time spent on documentation, with much higher satisfaction in how knowledge is shared and retained. Two things are worth knowing before you weigh it. It is a ceiling rather than an average, and it is our own measurement on a product we own, so read it as a directional result from real users and not as an audited benchmark. Collaboration improves, repeat questions drop, and teams that used to resist documentation start contributing simply by showing up and doing their work.