One layer over everything

One place to ask. All of your data underneath.

Always-on insights in plain English, grounded in your own business context — so every person can ask, and every decision is backed by data.

Conversational BI
Ask in plain English, get governed answers
AI Dashboards
Pin insights, built in minutes by chat
AI Insights
The "why" behind the number, surfaced

Always-On Enterprise Data Semantic Layer

Understands your business ontology & context
Table descriptions
Column descriptions
Joins & relationships
Business rules
Metrics
Analysis patterns
All of your data
Structured
Live today
PostgreSQLLIVE Amazon RedshiftLIVE
Warehouses · Lakehouse · OLTP — coming
SnowflakeSOON BigQuerySOON DatabricksSOON MySQLSOON OracleSOON S3 / data lakeSOON
Unstructuredcoming
Docs & PDFsSOON Knowledge basesSOON
Live today — connect now On the roadmap — we'll tell you straight

Same warehouse, same governance — now everyone can just ask.

How it works

Ask in plain English. Watch the agent work — every step.

No black box. ODO shows its reasoning end to end — it understands the question, finds the right data, writes governed SQL, runs it, and explains the answer. You can open any step.

You ask
Plain English. No SQL.
Intent
Reads what you're really asking.
Context
Pulls the right tables & rules.
Query Engine
Generates the query — and shows it.
Governance
Four gates. RLS appends itself.
Run
On your warehouse. Your cloud.
Answer
Chart + the "why", with the work.
1 You ask
Why did churn spike in March?
The agent reads intent — a root-cause question on the churn metric, scoped to March — then grounds it in your semantic layer.
intent · root-cause metric · churn grain · month
4 Query Engine  ·  5 Four gates
One Data Ocean
Context → Query Engine
Syntax
passed
RBAC
passed
Injection
passed
RLS
applied
Row-level security non-bypassable — enforced in the query, not the UI.
7 Answer
Jan
Feb
+38%Mar
Apr
May
Jun
Churn rose 38% in March, concentrated in APAC trials that lapsed after a pricing change on Mar 3.
Show the query & reasoning

Every answer comes with its work shown — the question, the context, the SQL, the gates.

Trust isn't asserted. It's visible.  →  Now see what each team asks of it.

Built for your team

Empower your people. Accelerate the work.

One agent, every function. Each team asks in its own language and gets a governed answer it can act on — no SQL, no waiting on a backlog, no new dashboard.

Business & Ops leaders

Decisions, backed by data. In the meeting, not after it.

Which regions beat target last quarter, and why?
returns ranked bar chartdriver explanation
Revenue vs target · last quarter
target
+14%APAC
EMEA
India
NA
LATAM
APAC beat target by 14%, driven by a 22% jump in repeat orders after the April loyalty launch.
Marketing & Growth

Find what's working before the budget's spent.

Which campaigns drove the most new customers this month, by channel?
returns channel breakdownCAC callout
New customers by channel · this month
1,240
new
Paid social 41% · ₹620
Organic 24%
Referral 16%
Email 12%
Affiliate 7%
Paid social drove 41% of new customers at the lowest CAC (₹620) — Email is converting but small; worth scaling.
Finance / FP&A

Explain the variance — before the board asks.

Why are we 8% over on opex vs plan this quarter?
returns variance decompositionboard-ready summary
Opex bridge · plan → actual
Plan
+₹1.2Cr+Cloud
+Contract
+Other
Actual
Opex ran 8% over plan — 61% of the gap is cloud + contractor spend tied to the Q2 migration. One-time, not run-rate.
Category & Merchandising

Know which products and promos actually moved.

Top 10 products by revenue in APAC this quarter — and which promos lifted them?
returns top-N rankingpromo lift
Top SKUs by revenue · APAC · this quarter
Serum No.5₹4.2Cr ↑27%
Lip Velvet₹3.6Cr ↑27%
Day Cream₹2.9Cr
Kohl Pen₹2.4Cr ↑27%
Face Mist₹1.9Cr
Hair Oil₹1.5Cr
Top 10 SKUs = 34% of APAC revenue; the "Festive" promo (blue bars) lifted 3 of them by an average of 27%.
Data & Analytics teams

Kill the backlog. Drive adoption, not ticket queues.

Give the whole org self-serve answers — governed, on our cloud, on our metrics.
returns governed self-serveyour metrics, one layer
What changes when ODO sits over your stack
3.2×
self-serve adoption
−64%
ad-hoc data requests
1
governed semantic layer
Analysts curate context once — definitions, joins, access rules — and everyone else self-serves, governed by the same semantic layer.

Same agent. Same governance. Wildly different jobs — answered in each team's own words.

See it on your data

Bring your hardest question. We'll answer it on your data.

A 30-minute live session on your warehouse, your governance, your cloud — not a canned demo. Watch the agent run end to end, gates and all.

No rip-and-replace. ODO sits over the stack you already run.