Data Agents for AI-Powered Business Analytics | DronaHQ

An AI analyst that already knows how your business counts things.

Data Agents use your team’s knowledge layer metrics, rules, gotchas, and proven queries to deliver accurate answers

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Trusted by teams shipping agents to production
Algihaz
CleverTap
Dolly
Drata
Endy
Fourier
Fubo
IDFC Bank
JioSaavn
Kotak
Lenden
Media.net
Mondelez
Orix
Pepperfry
Purple
Redstamp
Selkirk
Solarjet
Yubi

The problem

"AI on your data" usually means AI guessing at your data.

  • Every model reinvents the query.

    Ask the same question twice, get two different SQL statements — and sometimes two different answers.

    Reinvented every timeResolved once, reused every time
  • Schema isn't context.

    A model can see your tables. It can't see that refunds should subtract from revenue, or that test accounts need excluding.

    Column namesThe rules your team actually uses
  • Same mistake, every new question.

    Time zone mismatches, canceled orders counted as sales — teams write corrections into Slack threads, not into the tool.

    Tribal knowledge in SlackWritten once, applied every time
  • Nobody trusts the first answer.

    So someone re-runs it in the warehouse to check. The AI didn't save time, it added a step.

    Answer, then verifyAnswer, already verified
  • Access gets rebuilt for every new tool.

    Your org already has roles, row rules, and column masks defined somewhere. A new AI tool rarely inherits that logic.

    Rebuilt per toolInherited from the access model you already have
  • FIX

    One knowledge layer. Every question resolved against it.

    Scroll down — this is what you define once, and never explain again.

The agent doesn't figure this out on its own. You tell it once.

  • Defined once

    01/ Metrics

    Your business's own definition, not a generic one

  • Team’s shorthand

    02/ Business rules

    What your team actually means when they ask

  • Won’t repeat

    03 / Common Gotchas

    The mistakes it won't make twice

  • Instant reuse

    04/ Proven queries

    Don't regenerate what already works, no re-derivation risk.

Example prompts

Ask Business Questions.
Get Trusted Answers.

Data Agents turn everyday business questions into answers you can trust—with the metric, business rule, gotchas, and underlying query shown alongside every result.

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Access control

Scoped by design,
not bolted on.

Every metric, rule, and query still runs inside your permission model. Role-based access, row-level security, and column-level restrictions are enforced before a query executes — not filtered out of the answer afterward. Two people can ask the identical question and get answers scoped to what each is cleared to see.

  • AICPA SOC 2 compliant
  • GDPR compliant
  • Role-based access
  • Row-level security
  • Column-level masking
  • Full audit trail

Built to fit right in with your stack

  • PostgreSQL
  • Mongodb
  • Snowflake
  • Hubspot
  • MySQL
  • Salesforce
  • Graphql
  • 5000+ more

Bring one question your team gets asked every week.

We’ll show you the metric definition, the rules applied, and the answer — live, against your data.

FAQ

Before you book a call.