Ask your data
in plain English.

Structured data stores that agents query with natural language. Build CRMs, trackers, and inventories — then ask questions in conversation instead of writing SQL.

Build Your First Database

3 databases on free plan

Capabilities

Spreadsheet simplicity. Database power.

01 // Natural Language Queries

Ask, don't query

Type "show me all leads from NYC with revenue over $1M" and the agent translates it to SQL, executes it, and returns the results — all in chat.

You asked:

"leads from NYC, revenue > $1M, sorted by last contact"

Translated to:

SELECT * FROM contacts WHERE city = 'NYC' AND revenue > 1000000 ORDER BY last_contact_at DESC

Results:

12 rows returned

02 // Table Interface

Familiar spreadsheet feel

Create tables with custom columns and schemas. Import/export data. Custom views with saved filters and sorts. JSONB columns for flexible schema when you need it.

Name	City	Revenue
Acme Corp	NYC	$2.4M
TechStart	NYC	$1.8M
DataFlow	NYC	$1.2M

03 // Row-Level Discussions

Discuss any record

Open a discussion thread on any row. Agents can participate — ask an agent to enrich a contact record or analyze a data point without leaving the table.

04 // Agent Data Access

Agents as data operators

Agents can create rows, update records, delete entries, and run complex queries. Research agents populate databases with findings. Analyst agents run reports on demand.

query_data_tableSELECT city, COUNT(*) GROUP BY city

create_data_row{name: "NewCo", city: "SF", revenue: 500000}

natural_language_query"who haven't we contacted in 30 days?"

System Interplay

Data flows through every system

Data + AI Agents

Agents query, create, and update records. Natural language queries translate to SQL automatically.

Data + Tasks

Research tasks populate database records. Task pipelines build structured datasets from web research.

Data + Documents

Agent-generated reports pull live data from databases. Embed query results in documents.

Data + Chat

Query databases from conversation. Row-level discussions keep data conversations contextual.

Data + Connectors

Sync external data into databases via connectors. CRM imports, API data, webhook payloads.

Stop writing queries.
Start asking questions.

Natural language over structured data. AI agents handle the SQL.

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Ask your data in plain English.