3X Ask Data

Your whole data estate.
One conversation.

Connect any database. Ask Data builds a schema knowledge graph of your data, then your team asks questions in plain English and gets grounded, accurate answers.

Ask
How is Q3 revenue trending by region?
Resolve
Schema Graph
orderscustomersregionsusersproductsevents
AD
Answer
Q3 revenue hit $12.4M, up 14% QoQ. APAC led growth at +18%.
<10s
Average question to answer
0
Lines of SQL users write
0%
Fewer ad-hoc requests to data team
Problems We Solve

Your team shouldn't wait a week
to ask the data a question.

Every organisation already has data. The bottleneck is between question and answer. Ask Data removes it.

Analytics Backlogs That Stall Decisions

Business users wait 1-2 weeks for ad-hoc answers while the data team drowns in query requests. By the time the answer arrives, the question has moved on.

AI Chat Tools That Hallucinate

Generic LLMs wired to a database invent columns, guess relationships, and return wrong numbers because they never truly understand your schema.

BI Tools Nobody Uses

Dashboards were built for questions asked months ago. Most licensed users are not fluent, so requests still route through analysts.

Data Trapped in Silos

Answers spanning CRM, warehouse, and product data require engineering effort and brittle pipelines. Cross-source questions become cross-team projects.

SQL Is a Permission Slip

Only engineers can query. Every marketer, operator, and exec who wants a number has to route through someone who writes SQL.

Months of Semantic Modelling

Legacy text-to-SQL stacks demand painstaking semantic layers and YAML tuning that are expensive to build and fragile to maintain.

Without Ask Data
Time to Answer1-2 weeks
SQL RequiredEvery query
Data Team BottleneckSevere
Hallucination RiskHigh
Setup EffortMonths of modelling
VS
With Ask Data
Time to AnswerSeconds
SQL RequiredNever
Data Team BottleneckEliminated
Hallucination RiskSchema-grounded
Setup EffortMinutes to connect
Key Features

Built on a schema knowledge graph.
That's the difference.

Ask Data doesn't bolt an LLM onto your database. It reads schema, builds a graph of relationships, and grounds every answer.

Automated Schema Knowledge Graph

Ask Data reads every table, column, constraint, and relationship, then builds a live graph. No manual semantic modelling or hand-tuned YAML.

Plain-English Conversations

Anyone can ask questions the way they ask a colleague. No SQL, no formula syntax, and no dashboard training required.

Grounded Answers, No Hallucination

Every response is anchored to a real path through the knowledge graph with real tables, columns, and joins.

Context-Aware Metadata Enrichment

Ask Data infers business meaning automatically so ambiguous column names are mapped to useful business context.

Charts That Actually Help

When a number alone is not enough, Ask Data renders the right chart inline in the conversation.

Multi-Turn Context

Follow-up prompts stay concise because Ask Data carries the thread and conversation context across turns.

Any Source, Any Format

PostgreSQL, Snowflake, BigQuery, Redshift, SQL Server, Oracle, MySQL, spreadsheets, and APIs are supported read-only.

Read-Only, Permissions-Aware

Ask Data never writes to your database and respects existing row-level and column-level permissions.

How It Works

From raw schema
to answered question.

Connect a source and Ask Data enriches metadata, builds a knowledge graph, and enables conversational analytics.

Chat-Native Analytics Powered by a Live Schema Knowledge Graph
Your Data Estate
PostgreSQL / MySQL
Snowflake / BigQuery / Redshift
SQL Server / Oracle
CSV / Excel / Sheets
APIs & Custom Sources
- Read-only connection
- No migration required
- No pre-modelling
- Permissions preserved
Ask Data Engine
Connect Source (read-only, secure)
Metadata Enrichment (auto business context)
Build Schema Knowledge Graph
Parse Natural Language Question
Ground Query in Graph (no hallucination)
Answer + Chart Visualization
What Your Team Gets
Instant Plain-English Answers
Inline Charts When Useful
Multi-Turn Follow-Ups
Cross-Source Intelligence
Self-Serve for Every Team
Zero Training Required
See It in Action

Real conversations.
Real answers.

Every answer is traceable to real schema and real data. Here's what happens when teams ask a question.

Query Overview
4
Tables Joined
3.2s
Response Time
1
Chart Rendered
Plain-English Answer
Schema Grounding Score
9.2
out of 10 - Fully Anchored Answer
Resolution Path
Source Coverage

Every major database.
Actually, any source.

Ask Data connects read-only to cloud warehouses, on-prem databases, spreadsheets, and APIs.

PostgreSQL

PostgreSQL

OLTP & warehouses

✓ Live Read-only
Snowflake

Snowflake

Cloud data warehouse

✓ Live Read-only
BigQuery

BigQuery

Google Cloud

✓ Live Read-only
Redshift

Redshift

AWS cloud DW

✓ Live Read-only
SQL Server

SQL Server

On-prem & Azure

✓ Live Read-only
Oracle

Oracle

PL/SQL estates

✓ Live Read-only
MySQL

MySQL

Open-source RDBMS

✓ Live Read-only
Any Source

Any Source

CSV, Excel, Sheets, APIs

★ Universal
Why Ask Data

Everything a data team wishes
their BI tool already was.

Built for organisations that want answers, not dashboard sprawl and ticket queues.

01

Answers in Seconds, Not Weeks

Every question resolves against your live schema and returns a grounded answer quickly with no queue or handoff.

02

Zero SQL, Zero BI Training

Teams ask in plain English with no dashboard ramp-up, no semantic-layer tutorials, and no query-builder training.

03

Schema-Grounded Accuracy

Every answer traces to a real path through your model so there are no hallucinated columns or fabricated joins.

04

Works on Any Source, Day One

Connect read-only to cloud warehouses, on-prem databases, spreadsheets, and APIs without migration or modelling.

05

Charts That Earn Their Place

Ask Data renders charts only when visualization improves clarity, otherwise it responds directly.

06

Multi-Turn by Design

Real analysis is iterative, and Ask Data carries the context between turns for concise follow-ups.

07

Cross-Source Intelligence

Ask questions across systems and compare connected entities without custom integration work.

08

Gives the Data Team Their Week Back

Business users self-serve most ad-hoc questions so engineers can focus on higher-leverage platform work.

See Ask Data in Action

Get a personalised walkthrough tailored to your data estate and conversational analytics requirements.

Let's talk scale.

Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.

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