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WHY DATOST · PROACTIVE

It works before anyone asks.

Datost is the proactive AI data analyst built for teams that can't afford to find out late. It watches the accounts, metrics, and services that matter to each person, then surfaces the issue, the fix, and the opportunity on its own. Every finding arrives with the query, source, and reasoning attached.
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2.3×vs Claude Opus 4.6 alone
BIRD-Interact · ICLR 2026

2.3× more accurate than Claude Opus 4.6 on the hardest text-to-SQL benchmark.

Datost scored 75.2% on BIRD-Interact — the University of Hong Kong + Google Cloud benchmark accepted as an oral at ICLR 2026. Claude Opus 4.6 scores 33% on its own. The accuracy comes from grounding every question in your real schema, business logic, and metric definitions. A generic model is left guessing at column names.

Read the benchmark write-up
How Datost Works Before You Ask

It watches every source, then connects the dots.

The signal that something is going wrong, or that an opportunity is opening, rarely lives in one place. Datost continuously watches the systems it depends on, joins them at query time, and surfaces a single finding your team can act on, with the work shown.

Your warehouse

Snowflake, BigQuery, Redshift, Postgres. Datost watches your live tables, writes the SQL itself, and shows the query behind every finding so anyone can audit it.

Your business systems

Salesforce, HubSpot, Stripe, Segment, Amplitude, and dozens more. Pipeline, billing, and product events join warehouse data without an export step.

Your knowledge

PRDs, runbooks, metric definitions, and the docs you connect. Datost cites the doc and section so the team trusts the why, not just the number.

Every finding ships with the SQL, the source rows, and the assumptions Datost made. If something looks off, you can see exactly where. Your analytics team corrects the metric once, in the semantic layer, so every future surface is right automatically.

Comparison

It works before you ask

Feature
Datost
Others
Surfaces issues and opportunities unprompted
Watches the data and accounts that matter per person
Early warning before a metric hits the forecast
Partial
Cross-source context (warehouse + docs + events)
Partial
Shows the query and reasoning behind every finding
Partial
Enterprise identity and audit controls
Partial
What Teams Improve

What changes when it's proactive

Before, not afterCatch problems early

Datost flags slipping metrics and risks before they show up in the forecast

Always onNothing slips through

It watches every source continuously and surfaces the issues and openings that would otherwise slip by

Per personRelevant to each team

Each function gets the issues and fixes that matter to the decisions they own

Next Step

See how Datost fits your data stack, team workflow, and rollout plan.

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Who It's For

Every team gets what matters to them, before they ask.

Datost works wherever your team already does. Each function gets the issues, fixes, and opportunities shaped for their decisions, and everyone sees the same definitions when the numbers come up in the next standup.

Revenue

Datost flags slipping sales cycles, single-threaded deals, and at-risk renewals, then tells the team while there is still time to act on the forecast.

Product

It surfaces where activation leaks, which cohorts retain, and which features drive expansion, with no ticket filed and no two-sprint wait.

Marketing

It points to the channels and cohorts with the best returns and the campaigns quietly underperforming, joining warehouse and tool data so the numbers line up.

Finance & Ops

It catches burn outpacing revenue, runaway vendor spend, and margin it can recover, with the underlying query exposed for review.