No new UI • Permission-aware • Provenance-first • Safe write-backs • Managed open source
What changes with Whisper
Engineering teams don’t need more tools.
They need visibility, traceability, and action from the work already happening.
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Whisper turns everyday collaboration into measurable outcomes.
Surface drift, stalled approvals, rework loops and weak signals before they become delays.
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Instead of waiting for reviews or reports, Whisper continuously monitors activity across chat, email, meetings and systems to highlight issues as they emerge.
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RESULT:
Identify risks 2+ weeks earlier and reduce late-stage surprises.
Turn daily engineering activity into live project visibility, without manual updates.
Whisper converts real work into structured status, timelines, and documentation automatically.
RESULT:
Reduce reporting effort by 30–50% and free engineers from admin work.
Capture the “why” behind decisions - not just the final outcome.
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Whisper links conversations, approvals, and changes back to parts, projects, and documents, so context is never lost.
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RESULT:
Achieve 80%+ decision capture, compared to fragmented or missing records today.
Live AI access to the right information, with the right permissions, at the right time.
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Whisper structures engineering data with provenance and governance, so AI can be trusted to support decisions and actions.
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RESULT:
Move from disconnected data to safe, governed AI usage across engineering workflows.
30–50%
reporting time
80%+
Decision capture
2+ Weeks earlier
Risk detection
30–60%
documentation effort
Based on pilot deployments across engineering and manufacturing environments.
Whisper is not another engineer-facing platform.
It runs in the background, captures collaborative signals, structures them, respects permissions, and returns insight or action inside the tools people already use.
Captures intent
From chat, email, meetings, docs and tool activity
Applies governance
Respects native ACLs and implied permissions
Drives safe action
Supports read-only, suggested, gated and automated actions
Engineering intent is created in meetings, email, Slack or Teams, docs, voice and other day-to-day collaboration.
But only final artifacts reach systems of record.
The result is blind spots, late risk discovery, reporting overhead, weak traceability, and stalled AI initiatives.
Effectors
Governance is built in
Whisper controls who can see what - based on context, not just system settings. It respects permissions across teams, customers, and suppliers.
Provenance is visible
Every material claim can show source, timestamp, author or system, link, and why it was accessible.
It acts safely
Actions are staged from read-only to suggested, gated and automated, with validation and auditability.
You own it
Managed open source, full source access, optional support, and no lock-in.
DEPLOYMENT
🗸 On-Premise
Data never leaves your network
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🗸 Model Agnostic
Any LLM - OpenAI, Anthropic, Llama, Mistral, or your own
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🗸 Air-Gappable
Runs fully disconnected for classified environments
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🗸 Full Access Code
Verify security, build add-ons