From Complex Data to



in Seconds

Meet Neo. The autonomous data agent that remembers your metrics, forecasts what comes next, and understands how your business actually works.

From raw data to real answers
Three steps from source to insight.
Neo maps your tables into a living knowledge graph, then answers questions, runs the analysis, and gets sharper with every query you ask.
Inside an answer

Single question. Multiple agents. One governed answer.

Neo does not hand your question to a single model and hope. It plans the work, resolves every metric against your definitions, queries your warehouse directly, and shows the SQL it ran, so you can check each step before you act on it.

Neo

Plans

Breaks your question into the evidence it actually needs.

Decompose: revenue, segmentMetric: arr_enterpriseScope: July 2026
Context

Resolves

Maps it to your metric definitions and access rules.

Metric: finance_v3.arrAccess: role = analystGrain: monthly
Warehouse

Queries

Writes the SQL and runs it where your data already lives.

SELECT segment, SUM(arr)FROM revenue_monthlyWHERE period = '2026-07'
Answer

Delivers

Chart, summary and the SQL behind it, ready to pin.

Chart: bar, monthlySources: 3 tablesPin to Storyboard: ready
How it works

Neo learns your business before it answers a single question.

Point it at the tables that matter and tell it how your business thinks. Neo builds the context layer once. Every answer after that is yours, not generic.

01
Select Tables

Pick the data warehouses and tables your team actually uses

Point Neo at the tables that matter. It reads the schema, samples real values, and profiles every column. No manual data dictionary, no modelling layer to maintain.

Select your tables
18 tables in your warehouse
orders15 colsAdded
customers12 colsAdded
products16 colsAdded
sessions9 cols+ Add
campaigns11 cols+ Add
refunds7 cols+ Add
subscriptions13 cols+ Add
orders · 15 columns
idint
customer_idint
created_atts
statusvarchar
acquisition_channelvarchar
revenuenum
is_refundedbool
discount_amountnum
BigQuerySnowflakePostgresRedshiftMySQLDatabricks
02
Table Relations

Neo works out how your tables connect

Neo infers joins from keys, naming patterns and overlapping values, and flags anything it is not sure about instead of guessing. Confirm it once and it stays confirmed.

Define relations between them
orders
customer_id
product_id
utm_source
customers
id
products
id
Schema FKorders.customer_id → customers.idconfirmed
Inferredorders.product_id → products.id98% match
Needs revieworders.utm_source → sessions.utm_sourcelow overlap
03
Knowledge Graph

Neo builds a map of your business.

Tables, columns and values become one connected map. Ask about churn or paid social and Neo already knows which fields those live in, and which ones they do not.

Neo turns tables into a knowledge graph6 tables · 148 columns · 1,284 nodes
Table nodeColumn nodeValue nodeConfirmed joinInferred relation
"How is paid social performing?"utm_source · acquisition_channel · campaign.channel
04
Memory

It remembers what you have already told it.

Metric definitions, business logic, and your corrections persist across every thread. Tell Neo once that revenue excludes refunds, and every future answer respects it.

Neo remembers and improves over time
Memory active · 16 learned rules
Fiscal yearFeb 1 – Jan 31100%
Fiscal year starts Feb 1. Applied to every YTD question.
invoicesrevenue_attribution
Revenue definitionexcludes refunds100%
Revenue always nets off refunded orders.
ordersrefunds
ARPU denominatorpaying users only100%
ARPU counts paying users, never total signups.
userspayments
Storyboards

Pin the answer. Keep the Storyboard.

Every chart, table and written answer Neo produces can be pinned to a Storyboard, a living dashboard your team actually opens. Arrange it, schedule the refresh, share it. No BI tool, no ticket, no rebuild.

  • Pin from any thread. Charts, tables and Neo's written analysis land on the canvas in one click. Drag to resize and reorder.
  • Scheduled refresh. Neo regenerates the SQL from the original question and prior context, compares against the last run, and flags anomalies before anyone reads a stale number.
  • Edit by chat. Change a chart's grouping, date range or type by asking. The board updates in place.
  • Share and export. Deliver to Slack or email on a schedule, or export the whole board.
Q3 Marketing PerformanceAuto-refresh · Mon 6am
Revenue$12.4K▲ 6.1%
Impressions840K▲ 8.2%
Conversions4,210▲ 9.6%
ROAS3.4x▲ 0.5x
Revenue by weekBar
16K 11K 6K W1 W3 W5 W7
Conversions vs targetLine
5K 4K 3K Mon Thu Sun
Channel splitDonut
Instagram 58%Meta Ads 42%
Spend trendArea
9K 6K 3K W1 W4 W7
Top campaignsTable
CampaignChannelSpendConv.ROAS
Retargeting Q3Meta Ads$4,1201,4804.1x
Lookalike 2%Instagram$3,4801,1023.6x
Brand SearchGoogle Ads$2,9059082.9x
Prospecting EUMeta Ads$1,8604121.4x
AnomalyConversions spiked 41% on Thursday: Retargeting Q3 budget change.
Trusted by

Self-serve answers for every team that touches data

No ticket, no queue, no SQL. Here is what teams stop waiting for once Neo is in place.

10x faster than waiting on the data team
80% reduction in ad-hoc BI requests
3 min from question to boardroom-ready answer

Business Operations

Marketing

Sales

Finance

Product

Revenue Ops

Business Operations

I make critical decisions on 2-week-old data because my requests are stuck in the IT backlog.

Instant answers without the IT queue.

Compare our Q3 vs Q2 across every KPI that matters.

Which business unit has the highest revenue per employee?

What channels are driving the most signups this week vs last week?

Sales

Internal LLM projects are a PII nightmare. I am staring at a $1M+ bill for a system nobody can maintain.

Read-only by design. Zero Data Ingestion.

Which business unit has the highest revenue per employee?

What channels are driving the most signups this week vs last week?

What is our burn rate trend over the last 6 months, and when do we hit zero cash?

Data & Analytics

My team is the human API for the company. Routine SQL requests crowd out any predictive work.

Offload the ad-hoc; keep the governance.

Build me a cohort retention table for users who signed up in the last 6 months.

Find anomalies in our transaction data from the last 7 days.

What is our gross margin trend, and where is it heading?

Enterprise-grade security

Your data never leaves your warehouse.

Neo was architected differently. Your warehouse remains the single source of truth for your data. Neo connects to it read-only, answers your questions, and leaves every row exactly where it belongs.

HIPAA compliant ISO 27001:2022 certified GDPR compliant

Zero training on your data

Nothing you ask and nothing Neo reads is ever used to train a model. Neo holds read-only access and can never write back.

A full audit log

Every question, every generated SQL statement and every run is logged against the person who asked it.

Table-level permissions

Each team sees only the tables it is cleared for. Neo cannot query a table the role in front of it cannot open.

Masked and hashed exchange

Values that reach the model are masked or hashed first. Identifiers and raw records stay inside your warehouse.

Stop queueing for answers.

Connect a warehouse and ask your first question in minutes. 14 days free, 300 credits included.