Zaro for Research & Knowledge

Turn everything your team knows into something it can ask.

Drop in the docs, spreadsheets, and PDFs. Zaro structures and indexes them, analyses and forecasts on top, and answers any question with a source you can click.

Start for free

Minutes

From raw file dump to a queryable knowledge base

100%

Of answers returned with a clickable source

Shared, versioned layer the whole org queries

Sample figures shown for layout - pending published case-study data.

THE PROBLEM

Your knowledge exists.Nobody can find it.

The answer is somewhere - in a PDF, a spreadsheet, a Slack thread, a deck from last quarter. Finding it means asking three people and hoping the version you get is the current one.

It is unstructured.

Most of what a team knows lives in files that were never built to be searched.

It is uncited.

Ask a chatbot and you get a confident answer with no way to check whether it is true.

It goes out of date.

A static export is wrong the moment the underlying data changes, and nobody re-runs it.

HOW ZARO DOES IT

One engine.Three layers.

For research, that context is your document dumps, spreadsheets, PDFs, and threads - continuously structured, indexed, and versioned, so the answer you get today reflects the data as it is today.

01.

Agents keep your data alive

Workflows and agents continuously pull, enrich, and summarise context from wherever it lives - databases, SaaS APIs, the browser, deep search, Slack, and email. Not a one-time sync, an ongoing process.

02.

One shared, audited layer

Not per-user memory. The whole team reads and writes to the same context, and every change is versioned - you can see which person or agent touched what, and when.

03.

Apps and actions on top

Build dashboards, chatbots, and internal apps on that context in plain language. And the loop closes: those apps trigger agents back out into the world to do the next thing.

USE CASES

From a pile of filesto a living knowledge base.

The same context, turned into whatever you need to read it - a table, a forecast, a dashboard, or a chat.

Dump anything, get structure back

Drop in docs, spreadsheets, and PDFs and an agent structures and indexes them into one queryable layer - no schema design, no manual tagging.

Documents, spreadsheets, PDFs, threads
Structured and indexed automatically
One layer the whole org can build on

Model and forecast on the blended data

Run analysis, modelling, and forecasting across everything you ingested - not one spreadsheet at a time, but the whole corpus at once.

Analysis across the full corpus
Forecasts that refresh as data lands
Explainable, traceable results

Analysing...

3 sources

Auto-generated dashboards and decks

Turn the same context into a live dashboard or a slide deck on demand, so the readout builds itself instead of somebody rebuilding it every month.

Live dashboards, not static exports
Decks generated from real data
Always reflects the current numbers

Ask anything, get a cited answer

Anyone on the team queries the knowledge base in plain language, and every answer comes back with the source attached so it can be trusted and checked.

Plain-language questions
Every answer carries a citation
Open to the whole team, permissioned

A pile of files

cited answers in seconds

A pile of files

cited answers in seconds

“We fed it a quarter of messy exports and had a dashboard and a cited chatbot the same afternoon. The citations are what got the rest of the company to actually trust it.”

Placeholder attributionHead of Data, sample customer

ONE ENGINE