AI Infrastructure · on your cloud

Knol.edge. Your knowledge,
working on your own cloud.

Once your team has proven what AI can do on one workflow, Knol.edge is how you scale it: the platform that ingests your knowledge and powers AI assistants across your whole organisation, on your own cloud.

Talk to us about Knol.edge → Start with Knol.able first

After your team builds the first AI-assisted workflow in Knol.able, every leader asks the same question: how do we keep this running and scale it across the organisation?

Knol.edge is the answer. A managed AI knowledge infrastructure that ingests your documents, indexes your institutional knowledge, and powers AI assistants across multiple teams, from a single platform on your own cloud.

AI initiatives stall when the people meant to benefit weren't involved in building them, don't understand how they work, and can't change them when they stop working. 

Ingest any document type
PDFs, Word docs, Notion pages, Confluence: structured and unstructured, all indexed and searchable.
Multiple AI agent workflow, one platform
CS, HR, Ops, each with their own context, sharing one knowledge infrastructure.
Grounded, sourced answers only
Every response traces back to your documents. No hallucinations. Full auditability.
Your cloud. Your data. Always.
Deployed on your infrastructure. No data leaves your environment at any stage, for any reason.

Most AI projects don't fail on technology.

The pattern. AI initiatives stall when the people meant to benefit weren't involved in building them, don't understand how they work, and can't change them when they stop working. 

Knol.edge is the answer. A managed AI knowledge infrastructure that ingests your documents, indexes your institutional knowledge, and powers AI workflows and agents across multiple teams, from a single platform on your own cloud.

Support policies · live
Product docs · live
HR handbook · 2024
Onboarding guides
Knol.edge · knowledge infrastructure
CS Assistant · live
HR Assistant · pilot
Ops workflow · prototype
Next workflow · planned

Designed around the four reasons AI adoption stalls.

01
Ingest your documents
The fastest path to organisation-wide AI adoption is a single, proven result, then scaling deliberately.
02
Build the knowledge base
Documents are embedded into a vector index. Your institutional knowledge becomes searchable and retrievable by AI, in milliseconds.
03
Deploy your AI assistant
Every AI assistant we build runs on your cloud. Your documents and knowledge never leave your environment. 
04
Scale across teams

Everything you need
to get live and stay live.

Deployment
On your infrastructure
  • Deployed on your cloud (AWS, Azure, GCP)
  • Full data sovereignty, zero external exposure
  • Knol-managed setup and configuration
  • Initial deployment in 2–4 weeks
Platform features
Knowledge infrastructure
  • Any document type ingestion (PDF, DOCX, MD)
  • Automatic OCR for scanned documents
  • Vector embedding and semantic search
  • Source-cited, hallucination-resistant outputs
  • Confidence scoring per response
Ongoing support
Managed with Acumen Knol
  • Monthly check-in and performance review
  • Document refresh and re-indexing support
  • New assistant deployment assistance
  • Access to Knol for questions and tuning

Ready to scale AI
across your organisation?

A short conversation is the fastest way to know if Knol.edge fits. We'll map the right starting point with you, whether you've run the Knol.able programme already or you're starting here.

Book a 30-min conversation → Start with the programme first