Authentise Launches “Whisper,” an Agentic AI Backbone for Engineering and Manufacturing
- Authentise Team
- 8 hours ago
- 3 min read
Philadelphia, USA, 15 April 2025 — Authentise today announced the launch of Whisper, a new AI platform designed to capture, understand, and act on engineering intent across the entire idea-to-part lifecycle. Positioned as an “agentic AI backbone,” Whisper connects fragmented engineering knowledge and turns it into governed, real-time action inside existing enterprise systems.
For decades, engineering organizations have struggled with a simple problem: the most valuable knowledge never makes it into systems. It lives in emails, meetings, chat threads, and informal decisions. Whisper changes that.
“Engineering intent is the missing layer in digital transformation,” said Andre Wegner, CEO of Authentise. “We’ve spent 14 years helping companies digitize workflows. Whisper is the next step. It doesn’t ask engineers to change how they work. It listens, understands, and acts.”
While long-term value comes from capturing engineering intent, Whisper delivers immediate gains in compliance, coordination, and execution. Early partners helped shape that direction.
“As part of the steering committee, we pushed hard on one thing: this had to work in the real world, not just in theory,” said Rob Weighill, Group Systems Architect at Prototal Group. “In a high-throughput environment, the challenge is keeping projects moving across teams. Seeing Whisper come together has been genuinely exciting because it doesn’t just surface insights, it takes action directly in the tools our teams already use.”
From Lost Knowledge to Governed Action
Whisper captures engineering activity as it happens across tools like Slack, email, meetings, and enterprise systems. It structures that data, applies context and permissions, and acts on it directly within existing workflows.
The result:
Earlier risk detection
Real-time compliance checks
Automated updates across ERP, PLM, and QMS systems
Full provenance and audit trails tied to parts and projects
Built for Reality, Not Greenfield
Authentise built Whisper after encountering resistance to new tools, even when they delivered value. The insight: the problem isn’t capability, it’s inertia.
“Everyone already has tools. No one wants another interface,” Wegner added.
A Platform, Not a Feature
Whisper is not a single application but a foundation for building intelligent engineering workflows. It enables real-time compliance monitoring, project health detection, and automatic updates across enterprise systems, all driven by configurable agents operating in the background.
Example use cases include:
Automated compliance monitoring against internal and external standards
Live project health detection and alerts
Real-time generation of technical documentation
Updating task lists, PLM records, and ERP data automatically
Detecting IP leakage or duplication through digital fingerprinting
Many of these already exist, others can be built by end-users or their partners. Authentise is also Each of these is powered by configurable “effectors” that act on insights generated by Whisper’s AI core.
Open, Extensible, and Source-Available
Whisper is released as source-available, allowing customers to extend and deploy it within their own environments.
Initial access requires a low upfront commitment, with full costs only incurred once value is proven.
Early access programs available immediately for select partners and customers. Find out more information on www.authentise.com/whisper or at a talk held at the Rapid+TCT Conference in Boston on Wednesday at 2pm.
By capturing engineering intent and activity as it happens, Whisper lays the foundation for more adaptive, traceable engineering systems.
Media Contact
Esta-Jane Middling
About Authentise
Authentise develops data-driven software for manufacturing, used by enterprises like Boeing and Ricoh to connect machines, people, and processes. Its digital thread tools, Flows and Threads, provide the backbone of SPARC’s live capacity insights and secure integrations with MES, ERP, and AI scheduling systems.
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