Revolutionizing Knowledge Management powered with AI

The unicrew team was responsible for the full-cycle development of Snaplore – a next-generation knowledge management platform that uses AI to transform how organizations document, structure, and share information, making meetings, training, and project discussions instantly accessible and actionable.

Snaplore is an AI-powered knowledge management platform designed to address the modern documentation dilemma: teams capture critical insights through meetings, screen recordings, and calls, but these assets often become lost or underutilized. Snaplore bridges the gap, allowing organizations to transform every spoken word or screen demo into organized, actionable, and easily accessible knowledge.

Key Facts

  • Industry: SaaS, Enterprise Collaboration, Knowledge Management
  • Key Technologies: Whisper AI, OpenAI/ChatGPT, WebRTC, AWS Cloud Infrastructure
  • Integration: Can work as a standalone platform or with existing tools (e.g., Slack, Google Workspace)

Challenges

Building Snaplore presented a unique engineering challenge: we had to bridge the gap between “captured” data and “useful” knowledge while navigating a volatile technical landscape. Our team faced the dual pressure of architecting for rapidly evolving AI models and stringent enterprise security requirements, all while ensuring seamless integrations with fragmented third-party platforms like Zoom and Google Meet.

Solution

  • AI-Driven Knowledge Generation: Turn any meeting or recording into searchable documentation.
  • Snaplore Assistant:  AI can autonomously join meetings and record every discussion for you.
  • Collaboration & Sharing: Tag teammates, comment, and share knowledge with just a click.
  • Enterprise-Ready: Secure, scalable, and customizable for any organization.

Results

Clients have reported up to 60% less time spent on documentation tasks, with far higher satisfaction around how knowledge is shared and retained. Collaboration has improved, repeat questions have dropped, and even teams that used to resist documentation now contribute naturally, simply by showing up and doing their work.

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