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knowsy.dev

Knowsy

Your Field Sales, Your Data, Your Insights.

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Summary

Knowsy is an on-device AI conversation intelligence platform for field sales reps that transcribes, analyzes, and extracts insights from sales calls entirely offline, using federated learning to improve models without compromising privacy.

Target Audience

Privacy-conscious field sales reps in regulated industries (healthcare, finance, legal) who need to capture sales conversations without violating client confidentiality or company data policies.

Economic Engine

Seat licensing for field reps with a free tier (10 transcriptions/month) and premium plans ($29/rep/month) including advanced analytics and federated insights dashboard.

Point of Difference

Truly on-device AI transcription and federated learning for improvement, unlike competitors that require cloud processing, ensuring absolute data privacy.

Problem Statement

Privacy-conscious field sales reps in regulated industries (healthcare, finance, legal) need to capture and learn from sales conversations but cannot use cloud-based transcription tools due to client confidentiality and company data policies, leading to lost insights and poor follow-up.

Solution

On-device AI audio transcription (local Whisper model) with federated learning workflow for anonymous pattern aggregation, analytics copilot for automated CRM updates and action items, and credential verification for secure transcript access.

Core Value Proposition

Get the insights of enterprise conversation intelligence without ever sending audio or transcripts to the cloud.

Killer Features

  • Zero-Audio-Cloud Guarantee: all processing stays on the device; no audio or transcripts ever leave.
  • Federated Insights Dashboard: aggregated, anonymized trends (e.g., top objections, successful phrases) from across the user base.
  • Auto-CRM Copilot: after transcription, automatically updates Salesforce or HubSpot with a summary, next steps, and key details.
  • Privacy Guardian Overlay: real-time redaction of personally identifiable information (names, numbers, addresses) in transcripts.

Pros

  • Guarantees data sovereignty and compliance with regulations like HIPAA and GDPR.
  • Works offline, ideal for field reps in areas with poor connectivity.
  • Federated learning improves the product over time without exposing raw data.
  • Reduces manual note-taking and CRM entry, increasing rep productivity.

Cons

  • Requires modern devices with sufficient processing power for on-device AI.
  • Federated learning infrastructure is complex to implement and maintain.
  • Limited feature set compared to cloud-based competitors (e.g., no live coaching).
  • May not match accuracy of large cloud models in some niche scenarios.

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