Kaizan
The Client Intelligence Platform to retain and grow your client revenue.
Meeetly is an advanced AI meeting orchestration platform designed to bridge the gap between verbal communication and actionable data. In the 2026 landscape, it distinguishes itself by moving beyond simple transcription to 'Active Contextual Understanding' (ACU). Built on a proprietary multi-LLM architecture, Meeetly doesn't just record meetings; it interprets speaker intent, identifies non-obvious action items, and cross-references discussion points with historical project data. Its technical core utilizes real-time diarization and sentiment analysis to provide meeting 'health' scores, helping managers identify fatigue or misalignment early. By 2026, Meeetly has evolved into a central hub for organizational memory, integrating deeply with enterprise tech stacks to automate the transition from a Zoom or Google Meet session into structured tasks in Jira, Salesforce, or Linear. It serves as a digital shadow for every team member, ensuring that no decision is lost in the noise of back-to-back calls.
Uses vector embeddings to link current meeting discussions with historical data from past sessions.
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.
Transform raw unstructured audio into searchable, multi-dimensional knowledge graphs in real-time.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Advanced vocal fingerprinting to accurately identify speakers in high-noise environments.
Provides the host with a real-time 'heat map' of participant engagement and sentiment.
Generates and sends personalized follow-up emails based on specific commitments made during the call.
Simultaneous translation and transcription in 40+ languages using low-latency neural models.
Automatically populates CRM fields based on intent detection (e.g., budget, timeline, authority).
Aggregates common themes across hundreds of meetings for high-level management visibility.
Sales reps forget to update the CRM or miss subtle pain points.
Registry Updated:2/7/2026
Blockers are mentioned but not tracked in Jira.
Long strategy meetings are difficult to review for key decisions.