Turn your analysis
into the deck your
boardroom reads.

Connect your data, ask in plain English or write the SQL yourself, validate the numbers with your organization, and hand leadership an editable PowerPoint or PDF.

The problem

A question asked on Monday gets answered on Thursday.

Not because the data is missing. The path from raw data to a clear answer is a slow, manual chain: find the right tables, write the query, check the numbers, build the chart, rebuild the slide. It’s a workflow problem, not a data-availability problem.

45%
of a data professional’s time goes to loading and cleaning data before any analysis starts.1
  1. Anaconda, 2020 State of Data Science. Respondents reported spending about 45% of their time on data loading and cleansing.

From your question to the deck, with nothing lost in between.

Connect and ask

Bring in your data source and ask in plain language, or write the SQL yourself. With AI on, agents read the schema, write and run the query, build the chart, and explain what it means.

Inspect the SQL. Refine by conversation.

Every generated query is visible and editable, so technical analysts can check the logic and re-run it, and everyone else gets a clear answer. Ask a follow-up to change the query or the chart.

Present in PowerPoint

Arrange the charts into a deck, let SlateData draft the plain-language narrative, and export an editable PowerPoint or PDF your leadership can read on their own.

Ask in plain English

Type the question the way you'd ask a colleague. AI agents write the SQL, run it against your database, build an interactive chart, and explain what it means in a short summary.

Refine by conversation. Inspect every query.

Ask a follow-up and the query and chart update. Every generated query is visible, editable, and re-runnable, so technical analysts get full SQL transparency and everyone else gets a clear answer that traces back to its source.

From data to a finished deck in minutes

Build the deck from live query results inside SlateData and export straight to editable PowerPoint or PDF. No copying charts, no reformatting, and no dashboard link that no one opens.

Queries your data
where it lives

SlateData reads your schema and runs every query against your existing database or warehouse. Nothing is copied in, and there is no pre-modelled subset to maintain.

  • PostgreSQL
  • ClickHouse
  • Snowflake
  • Databricks
  • MySQL
  • Trino
  • CSV, JSON, Parquet
  • More on the roadmap

Accuracy is engineered, not assumed.

The query engine is measured on the public text-to-SQL benchmarks, and every answer stays grounded in the schema it was shown.

Execution accuracy on Spider dev2
83%
Execution accuracy on BIRD dev2
71%
Of generated queries ran without a database error3
99.9%

  • Grounded in your schema

    Answers only reference tables and columns the agent has been shown. It reads the schema in place and never guesses at names.

  • Traceable to the source

    Every result carries the SQL that produced it and the table it came from, so any number on a slide can be checked.

  • Model-agnostic

    Models are accessed through AWS Bedrock, so the model behind the agents can be swapped per deployment.

  • Optional, all the way down

    Switch AI off for a whole deployment, an organization, a workspace, or a single user. The SQL editor, charts, and decks keep working without it.

  1. Execution accuracy, zero-shot, on the full Spider dev set (1,034 questions) and the full BIRD dev set (1,534 questions, with the benchmark’s evidence hints), measured on 30 September 2026 with Claude Sonnet 5.5 via AWS Bedrock, using each benchmark’s official comparison (Spider accepts any column order; BIRD requires an exact match). Scores are for the query engine in benchmark mode, which returns exactly the columns a question asks for; the product’s default chart-shaping rules are turned off.
  2. Same runs: 1,034 of 1,034 generated Spider queries and 1,532 of 1,534 generated BIRD queries executed without a database error.

What sets it apart

SlateData combines agentic SQL, a generated narrative, and an interactive chart in one interface, on your real databases rather than a pre-modelled subset.

ApproachWhen a new question comes up
Static dashboardsA new question means a new build cycle. Someone adds the tile, and until then the answer waits.
Natural-language search over pre-modelled dataFast, but only inside the data model someone prepared in advance. Anything off-model goes back to the request queue.
Heavy data platformsBuilt for pipelines and modelling at scale. SlateData complements them for the last mile: the question-and-answer step that ends in a deck.
SlateDataAI agents write and run SQL against your live database, build the chart, and explain the result. The follow-up happens in the same conversation.

From analyst insight to leadership action.

For analysts

Stay in the analysis. Ask in plain English, inspect and edit the SQL, refine the chart in conversation, and turn the story into a deck without rebuilding every chart.

Explore SlateData for analysts

For leadership

Go straight to the decision. Get a clear answer, numbers that trace back to their source, and a presentation ready to read in PowerPoint or PDF.

Explore SlateData for leadership

Built for every industry

Bring the full portfolio picture to the board.

Portfolio performance and risk, packaged into the quarterly board deck. Bring returns, allocation, and exposure together, with every figure traceable to its source.

Financial Services use cases

View all use cases

  • Portfolio attribution

    Break down the drivers of performance for the quarterly board deck.

  • Risk concentration

    Bring exposures across asset classes and sectors into one clear report.

  • Regulatory reporting

    Keep supporting queries and source data close to every reported figure.

Simple, transparent pricing

Paid seats for the admins and creators who build the reports. Reading a shared deck is free.

Starter

Free

For individual analysts.

  • Up to 10 workspaces
  • Unlimited datasources
  • 250 MB data storage
  • Interactive visualizations
  • PowerPoint & PDF export
  • Community support

Organization

$30

/ user / month

For organizations working together.

Everything in Starter, plus:

  • Unlimited workspaces
  • Shared workspace collaboration
  • Role-based access controls
  • Priority support
  • Custom branding

Enterprise

Custom

For advanced security and scale.

Everything in Organization, plus:

  • SSO / SAML authentication
  • Dedicated cloud or on-premises deployment
  • SLA guarantees
  • Audit logging
  • Custom integrations
  • Dedicated customer success manager

A few things you might be wondering.

From getting started to finding the right plan for your organization, here are answers to the questions we hear most. Need a hand? We’re happy to talk it through.

Enterprise-grade
security and controls

Keep your data protected and your organization in control. SlateData supports encryption at rest and in transit, SSO / SAML, role-based access controls, and on-premises deployment.

Awardable on the CDAO Tradewinds Solutions MarketplaceGovernment customers can view our solution video at tradewindai.com (government login required).

  • Data encryption

    At rest & in transit

  • SSO / SAML

    Single sign-on supported

  • Role-based access

    Control who can access your data

We’d love to show you more.

Ask the question on Monday and present the answer on Monday. SlateData turns the week of querying and rebuilding slides into an afternoon, and hands leadership a deck they’ll actually read.