Empower Your Enterprise Knowledge.
Turn scattered, messy enterprise knowledge into reliable insights.
What we do
We take company knowledge from chaos to confidence.
We ensure your essential data is clean, governed, and ready for safe, dependable use - for both humans and AI assistants.
Why the health of company knowledge matters
Wrong information quietly sabotages users and organisations
Every minute, someone in your organisation is trying to find the right answer quickly - during a client call, while resolving an incident, or writing a proposal. Many companies try to support this with AI assistants - that can improve retrieval speed, but it doesn’t fix the root cause: the underlying content. Duplicates, contradictions, outdated guidance, missing owners, and broken review cycles are still there and quietly harming companies.
Low-quality information has real economic cost
$12.9 million is the estimated minimum cost of poor data quality for organisations per year on average.
Findability is a widespread, measured problem
47% of digital workers struggle to find the information they need to perform their jobs effectively
Badly managed knowledge eats up employee time
25% of time employees spend searching for information could be saved with better knowledge management
We tackle the knowledge issues at the source
We find issues
...like contradictions, outdated content, hurdles to discoverability and overall quality.
We fix those issues
...in close alignment with you so any changes are approved and in the best interest of the users.
We keep quality high
...with regular health checks, expert recommendations, and hands-on support.
At index, we know the secret to improving company knowledge starts at the base - not with AI magic and a chatbot on top, but by making sure the underlying data is the best it can be. We connect to company data, analyse the health of the knowledge landscape, and fix the issues. So users can trust the information they find, and AI assistants can be deployed with confidence.
Our services
We support clients through the whole loop:
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Discovering the current knowledge landscape with Scope
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Setting up a connection to your knowledge sources with Setup
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Identifying potential issues with Scan
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Fixing the found issues with Solve
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Once the knowledge is in good condition, ensuring continued quality with Sustain
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Moving information to new knowledge base systems with Shift