Ask Intelligence.
Ask your business.
Query enterprise data in natural language, with governance and traceability.

Natural-language intelligence
- <1 s
- Avg response time
- ~80%
- Queries without engineering
- 0 SQL
- Required for business users
What slows down data-driven decisions.
The same bottlenecks repeat. Ask Intelligence removes them.
01
Technical dependency
Every report needs SQL and engineering time. Decisions wait.

02
Scattered data
Multiple databases, multiple formats. Crossing information is manual and error-prone.
03
Analytical latency
The data exists, but it takes days to become an actionable answer.
<1 s
Avg response time
Three steps. One question, one answer.
Connect, ask, receive — no SQL required.
Pipeline 01
Connect your databases
PostgreSQL, MySQL, MongoDB, Redis, and more. Secure connectors, data at the source.
Pipeline 02
Ask in natural language
Corebrain interprets, picks context, and executes. <1 s.
Pipeline 03
Get the answer
Tables, metrics, or lists ready to share.
Access from where you work.
Same engine, four entry points.
A — CLI
Queries from the terminal.
Ideal for DevOps flows, automated scripts, and CI/CD pipelines. JSON or table output.
Includes
- Schema autocomplete
- Pipe mode
- JSON / CSV output
- Local history
Supported databases. Extensible on demand.
Less waiting. More decisions.
Analytics latency drops; self-serve query share rises in the first weeks.
<1 s
Avg response time
~80%
Queries without engineering
0 SQL
Required for business users
2–4 wks
Typical go-live
Weeks 1→8 after go-live. Latency drops; self-serve rises.
More than a chat. A decision layer.
Connectors, surfaces, and governance ready from the first cycle.
Live connectors
PostgreSQL, MySQL, MongoDB, Redis, and APIs
Surfaces
CLI + Studio + SDK + embeddable widget
Business context
Discovered schema and operating glossary
Governance
Role-based access and query audit
Training
Business and data teams self-sufficient
Support
Monitoring and evolution in the Orbit cycle
From diagnostic to production in weeks.
Short process oriented to measurable outcomes.
Phase 01
Diagnostic
We map sources, use cases, and security requirements.
Phase 02
Connection & context
Active connectors, discovered schema, and business context configured.
Phase 03
Validation
Tests with real questions, precision tuning, and permissions.
Phase 04
Deploy
Controlled go-live, training, and continuous monitoring.
Use cases
From question to business outcome.
See how real teams use Ask Intelligence to decide in minutes what used to take days of reporting.
See use casesEtedata
Centralized analytics.
Explore Etedata
Corebrain
The engine behind every question.
SDK and MCP layer to connect models to your databases.
Explore CorebrainWhy Orbit
Ask your data without writing SQL.
The Why Orbit guide develops the argument: when natural language is enough and when it is not.
Read the guideJoin Orbit.
Power your tools by applying Ask Intelligence to operational processes — connected to your real sources, deployed where your team works, inside a continuous evolution program.