GROUNDED · CITED · PERMISSION-AWARE
Put what you know to work
AI that turns the knowledge you already have into answers and actions people and agents can use.
Tricky Wombat finds cited answers across Slack, Google Drive, Gmail and Microsoft 365, then takes the next step: schedule the meeting, process the refund, update the ticket. Every answer comes back with the source it came from.

Who's asking
When your own team needs the answer

Team Knowledge
Knowledge lives in your shared drives, chat threads, meeting notes, and scattered docs. Your team is small enough to know the answer exists. But doesn't always know where to find it. Team Knowledge finds it.
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Enterprise Search
Knowledge lives in every department. Engineering docs, sales playbooks, HR policies, product specs. Your people need answers that cross those boundaries. Connected Search finds them.
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Technical Discovery
Technical knowledge lives across repos, wikis, Confluence, and Slack. API specs, architecture decisions, runbooks, incident history. Your engineers need precise answers that connect those sources. Technical Discovery finds them.
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Process Mining
Processes live in SOPs, tickets, chat threads, and people's heads, rarely in one place. Your ops team knows work gets done, but not always how it runs. Process Mining surfaces the real workflows so you see the gaps, fix the bottlenecks, and automate what should be automatic.
DiscoverWhen your audience needs the answer

Content Creators
You have unique insights, an individual voice, and content that's available everywhere. From YouTube, podcasts, and articles, create a cohesive AI experience for your audience to increase engagement.
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Thought Leaders
Turn books, Substacks, talks, and articles into a searchable knowledge base. Readers get answers from your full body of work, with links back to the source, not inventing what you might have said.
DiscoverAsk for the answer, not the document
You already have the knowledge. What you don't have is the answer.
Ask your firm which projects used a given platform, what you did, and what results you got. The evidence exists. It sits across three project files, a case study, a Slack thread, and a page on your own website. No single document holds the answer, so search returns a tidy list with none of the evidence in it. Finding the right document is not the same as finding the right answer. Most search is built for the first job. The people asking need the second one.
- Every answer cites the material it came from
- Existing access rights stay intact, for every question
- Answers assembled from evidence across sources, when no single document holds it
Classify
Query intent
Retrieve
Hybrid search + rerank
Assemble
Scoped context
Generate
With guardrails
Score
Evaluate + feedback
The model is step 4. The pipeline is the product.

