GROUNDED · CITED · PERMISSION-AWARE

Ask your company anything, then let it find the answer

Agentic company search that does the work.

Tricky Wombat finds cited answers across Slack, Google Drive, Gmail, and Microsoft 365 — then takes action: schedule the meeting, process the refund, update the ticket. Ask a question; get the answer and the source.

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AI Search with Keyboard
AI Circuit with Magnifying Glass
Dashboard components

From Large Enterprises

Team meeting with AI enhanced table

Team Knowledge Discovery

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 Discovery finds it.

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Buildings connected by data streams

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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Two engineers at desk

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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Individuals

Three people at a table with microphones

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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YouTuber filming with ring light and camera, editing monitors in background

YouTubers

Turn your YouTube channel into a searchable knowledge base. Aggregate ideas across playlists, map entity relationships, and mine processes from your tutorials — built for the full channel, not one video at a time.

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Speaker giving a talk

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.

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Answer quality is determined before the model generates a single token.

Every major AI model can reason, summarize, and generate. Swap one for another and output quality shifts by single-digit percentages. Change what the model sees before it reasons, and the result changes entirely. Tricky Wombat engineers the full context pipeline: from query intent classification to retrieval, assembly, generation, and evaluation. The model is interchangeable. The pipeline is the product.

  • Your question is classified before a single document is retrieved
  • Context is assembled for this question, from this user, against this data
  • Every answer is scored, cited, and fed back into the pipeline
See it with your data
1

Classify

Query intent

2

Retrieve

Hybrid search + rerank

3

Assemble

Scoped context

4

Generate

With guardrails

5

Score

Evaluate + feedback

The model is step 4. The pipeline is the product.