Kaizan
The Client Intelligence Platform to retain and grow your client revenue.
The privacy-first, no-bot AI note taker specifically engineered for the Google Meet ecosystem.
Bluedot represents a paradigm shift in AI meeting intelligence for 2026, distinguishing itself from legacy 'bot-based' recorders. Built as a high-performance Chrome Extension, it captures audio locally, bypassing the security and social friction of external meeting bots. Its architecture leverages advanced Whisper-derived transcription models optimized for Google Meet’s Opus audio codec. By 2026, Bluedot has positioned itself as the enterprise standard for organizations with strict security protocols (GDPR/SOC2) that prohibit third-party bots from joining sensitive calls. The platform's technical core excels in 'Template-Driven Summarization,' allowing users to define custom JSON-like schemas for extracting meeting data. This enables automated field-mapping into CRMs like Salesforce and HubSpot. With the rise of hybrid work compliance, Bluedot’s ability to redact PII (Personally Identifiable Information) in real-time during transcription makes it a critical tool for legal, healthcare, and financial sectors. Its market position is solidified by its deep integration into the Google Workspace, offering a seamless UX that outperforms generic cross-platform tools through lower latency and superior speaker diarization in browser-based environments.
Captures audio data directly from the browser's MediaStream API without requiring a headless bot to join the session.
The Client Intelligence Platform to retain and grow your client revenue.
Turn messy meeting audio into structured executive summaries and action items instantly.
Enterprise-grade neural speech recognition with hyper-accurate multi-speaker diarization and semantic context mapping.
The AI-Powered Meeting Orchestrator for High-Velocity Teams
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Vector-based indexing of meeting transcripts allowing users to search by concept rather than exact keywords.
Automated NER (Named Entity Recognition) to identify and mask sensitive financial or personal data in transcripts.
User-defined LLM prompts that structure meeting outputs into specific JSON or Markdown formats.
Identifies 30+ languages and attributes speech to specific participants with 98% accuracy.
Logic-based mapping of meeting insights directly into specific HubSpot/Salesforce properties.
Allows for the encryption and storage of recordings on local or private cloud infrastructure.
Sales reps forget to log pain points and budget details into Salesforce.
Registry Updated:2/7/2026
Researchers spend hours re-watching videos to find user quotes.
Developers miss action items discussed during rapid standups.