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Strengthening Engineering Resilience

Your biggest risk isn’t missing data.
It’s missing people.

Critical engineering knowledge is concentrated in a few experts and fragmented across teams, creating hidden single points of failure and risk. Starmind solves this by mapping expertise in real time, making tacit knowledge visible, and connecting teams to the right experts instantly.
Knowledge Loss in Engineering
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The Problem: Expertise is hidden, fragmented, and hard to access

Engineering teams struggle to find the right expert, rely on a few key individuals, and lose time to bottlenecks caused by knowledge that lives in people, not just systems.

Finding the right person is difficult

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Teams don’t know who knows what, so they waste time searching or rely on the same few people.

 

Knowledge lives in people, not systems

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Critical know-how stays in people’s heads, making it difficult to access, reuse, or scale.

 

Too much depends on a few individuals

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A small number of experts become bottlenecks, causing delays and repeated interruptions.

Starmind makes expertise visible and usable

From capturing tacit knowledge to connecting the right experts and revealing hidden risks, Starmind helps engineering teams reduce dependency, improve planning, and keep work moving.

Capture and retain knowledge

Learn from real engineering work and surface tacit knowledge automatically.

Identify experts and SPOFs

Connect engineers to the right experts instantly and reveal hidden dependencies.

Enable better resource planning

Increase visibility into expertise concentration and support succession planning.

Improve knowledge flow across teams

Reduce silos across sites and accelerate knowledge transfer.

What is a corporate wiki?

A corporate wiki, also known as an enterprise wiki, is a knowledge management system that provides a central location where your company can collect, capture, and update organizational knowledge.

As an internet user, the chances are high that you’ve used Wikipedia to find and acquire information and knowledge. Corporate wikis are comparable because they use similar technology and processes for people to collaborate and share their knowledge. The main difference is that corporate wikis are confined to the people within your organization.

Wikis have been a favored solution for knowledge management because every employee has the ability to read, edit, and contribute new content and knowledge. Plus, they're relatively easy to use. If employees can create a word doc, they’ll have no issue contributing to a wiki. But, if you’ve already used a corporate wiki before, you’re probably familiar with the challenges they can bring and are ready for a more effective way to manage knowledge.

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The Value for Engineers

Find the right expert instantly

Find the right internal expert in seconds — even across global teams 

Reduce repetitive questions

Stop answering the same technical questions repeatedly 

Reuse proven solutions and insights

Reuse proven solutions and avoid duplicate testing

Capture the "why" automatically

Capture critical design rationale (“the why”) automatically

How it Works

Starmind connects to the tools you already use and learns from real work (messages, tickets, and documents) to build a live map of who knows what across your organization. When someone has a question, it identifies and connects them to the right expert instantly, while capturing those interactions so knowledge can be reused. At the same time, it gives visibility into where expertise is concentrated, helping teams spot dependencies and reduce single points of failure before they become a problem.
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See how Starmind helps reduce risk and improve knowledge access.

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Imagine if 10% or 15% of 100,000 employees around the world find experts in 15 minutes instead of three weeks. How much acceleration can we have when it comes to new initiatives and experiments and other new research?

Sebastian Hein, IT Business Partner, Product Development Quality Informatics (PDQIX) at Roche

The Silver Exodus: Preparing for the Global Enterprise Knowledge Drain

Behind every retirement is not just the loss of an individual contributor, but the departure of decades of hard-earned expertise, nuanced know-how, and critical internal context that rarely exists in manuals or wikis.

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Rethinking Downtime in Manufacturing

Unplanned machine downtime is one of the biggest challenges in today’s manufacturing industry. Current studies highlight the alarming financial and operational impacts: Fortune Global 500 companies lose an estimated $1.5 trillion annually due to unplanned downtime, equating to 11% of their annual revenue.

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