Incubeta
Ogilvy
National Geographic
Disney
DMA
Oracle
atcore
Airtasker
Why teams reach for it

Institutional knowledge shouldn't depend on who you happen to ask.

Institutional knowledge shouldn't depend on who you happen to ask.

−80%

Time to find answers

100%

Cited responses

1

Unified knowledge layer

Where teams put it to work

Six teams. One cited knowledge layer.

Every team's knowledge is different. The assistant adapts to the documents, permissions and questions each one runs on.

01.
Financial Services

Policy and compliance knowledge, unified

Used by banks, asset managers and financial services firms.

Compliance policies, product documentation and institutional memory sit scattered across systems, and every question means searching several of them. The assistant gives every team a single, cited source of truth.

Answers grounded in your actual policy documents

Every answer cites its source, no guessing

Respects existing access controls and permissions

Cuts research time on compliance questions

02.
HR & People

One consistent answer to every policy question

Used by HR, People Ops and internal communications teams.

Employees ask the same benefits, leave and policy questions repeatedly, and answers can vary depending on who they ask. The assistant gives a single accurate answer, sourced from your actual HR documentation.

Pulls from your handbook, benefits docs and policies

Keeps answers consistent across every employee

Reduces repetitive tickets into HR

Updates automatically as policies change

03.
IT & Engineering

Runbooks and docs, searchable in one place

Used by IT, DevOps and engineering teams.

Runbooks, architecture docs and internal wikis scatter across tools nobody searches consistently. The assistant surfaces the right document instantly, with a citation back to the source.

Searches runbooks, wikis and architecture docs together

Cites the exact document behind every answer

Respects role-based access to sensitive systems

Cuts onboarding time for new engineers

04.
Sales & Client Teams

The right case study, seconds before the call

Used by sales, account management and client services teams.

Proposals, case studies and playbooks live in different drives, and nobody has time to search all of them before a client call. The assistant surfaces the right material in seconds, with the source attached.

Finds the right case study or playbook instantly

Cites the source so reps can share it directly

Keeps messaging consistent across the team

Works across every connected knowledge source

05.
Legal & Compliance

Answers traceable to the exact clause

Used by legal, compliance and risk teams.

Contracts, regulatory guidance and policy precedent are dense and scattered, and getting an answer wrong carries real risk. Every response is cited back to the exact source document.

Every answer is traceable to its source document

Access control keeps sensitive material restricted

Cuts research time on precedent and policy

Reduces reliance on a handful of institutional experts

06.
White Label

One knowledge layer, every client kept separate

Used by agencies running SOPs across multiple client accounts.

SOPs, brand guidelines and account history live across dozens of client folders. The assistant gives every team member instant, cited access, without exposing one client's knowledge to another's team.

Keeps each client's knowledge base properly separated

Runs entirely under your own brand

Onboards new team members onto accounts faster

Scales knowledge access without duplicating effort

These are the most common use cases. The assistant fits any team whose knowledge is scattered across more than one system.
Across every use case

Every answer, built on the same foundation.

Always cited

Every response links back to the document it came from.

Grounded in your knowledge

Answers come from your documents, not general web knowledge.

Access respected

Existing permissions carry through, nobody sees what they shouldn't.

Fast by default

Time to find an answer drops by up to 80% on average.
Solution architecture

How a question becomes a cited answer.

01.

Knowledge sources

02.

Ingestion & embeddings

03.

RAG assistant

04.

Access control

05.

Answer with citations

Built on

The stack the assistant runs on.

RAG
Vector DB
SSO
MCP
How we deliver

From concept to a live assistant

01.

Discovery

We map where your knowledge actually lives today.

02.

Solution architecture

We design the ingestion, retrieval and citation flow.

03.

Development

We build the RAG assistant and embedding pipeline.

04.

Integration

We connect every knowledge source and your SSO and access rules.

05.

Testing

We check citation accuracy and access controls against real accounts.

06.

Deployment & maintenance

We launch your assistant and keep its knowledge layer up to date.

Is your use case a fit?

Best where knowledge is scattered and the stakes of a wrong answer are real.

A strong fit if your team

Has knowledge in silos across systems and tools
Loses time to slow, repeated answer discovery
Needs answers with source citations, not just a summary
Gets different answers depending on who is asked
Handles material that needs access control respected

Probably not yet if your team

Keeps everything in one well-organised system already
Has few enough documents that manual search is still fast
Doesn't need answers traced back to a source
Can't connect existing tools to a new knowledge layer
Handles nothing sensitive enough to need access control
Frequently Answered Questions

Everything you need to know.

My team isn't listed. Will it still work?

The six scenarios above are the most common, but the same pattern (unify the sources, cite every answer, respect access control) applies to any team whose knowledge is scattered across more than one system. Tell us where your documents live and we'll show whether it fits.

How do you prevent made-up answers?

The assistant is retrieval-augmented, meaning every answer is generated from passages retrieved from your actual documents, and every response carries a citation back to the source. If the knowledge base doesn't contain an answer, it says so rather than guessing.

How does access control work?

The assistant integrates with your existing SSO and honours the permissions already set on each document. A user only ever sees answers drawn from material they already have access to, nothing more.

Can it work across multiple disconnected knowledge sources?

Yes. That is the core of what it does. Documents, wikis, drives and other repositories are ingested into a single vector layer, so the assistant answers from all of them together instead of one tool at a time.

Can it run entirely under our brand?

Yes. For agencies managing knowledge across client accounts, the assistant runs under your own brand, with each client's knowledge base kept properly separated from every other client's.

What does it cost to scale across teams?

Pricing scales with the number of knowledge sources and teams connected, not per seat. Once the core knowledge layer is built, adding new teams or document sets costs a fraction of building a separate system for each.

Have a knowledge problem in mind?

Tell us where your knowledge lives today, and we'll show you what a cited assistant would look like over it.