Ask Intelligence.

    Ask your business.

    Query enterprise data in natural language, with governance and traceability.

    Ask Intelligence — natural language over live data

    Natural-language intelligence

    <1 s
    Avg response time
    ~80%
    Queries without engineering
    0 SQL
    Required for business users
    Problem

    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.

    Ask Intelligence.

    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

    Pipeline

    Three steps. One question, one answer.

    Connect, ask, receive — no SQL required.

    1. Pipeline 01

      Connect your databases

      PostgreSQL, MySQL, MongoDB, Redis, and more. Secure connectors, data at the source.

    2. Pipeline 02

      Ask in natural language

      Corebrain interprets, picks context, and executes. <1 s.

    3. Pipeline 03

      Get the answer

      Tables, metrics, or lists ready to share.

    Surfaces

    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.

    DevOpsScriptsCI/CD

    Includes

    • Schema autocomplete
    • Pipe mode
    • JSON / CSV output
    • Local history
    Connectors

    Supported databases. Extensible on demand.

    PostgreSQLPostgreSQL
    MySQLMySQL
    MongoDBMongoDB
    RedisRedis
    SQLiteSQLite
    REST APIs
    Impact

    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.

    Deliverables

    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

    Implementation

    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.

    Join 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.