Data Engineering · AI-Powered BI AI-powered BI that answers back.

Reports react. Dashboards summarise. Our BI answers — in plain English, on live data, the moment you ask. Natural-language querying moves your business teams from reactive reporting to foresight.

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Why it matters

Static reports are no longer enough.

Your business changes continuously. BI has to keep pace — proactive, conversational and predictive for every stakeholder.

01Reports react and dashboards summarise — neither answers the question you have right now.
02Teams in CX, sales ops, finance, supply chain and risk wait on the data team for ad hoc questions.
03Getting an answer still demands SQL expertise or dashboard navigation.
04Patterns no one thought to chart stay hidden until someone asks.

What we engineer

BI that moves you from reporting to foresight.

We bring artificial intelligence, machine learning and natural language processing into your analytics platform.

Voice and natural-language queries

Type or speak your question in plain language — no SQL required. The platform interprets intent, runs the query and returns instant, visual answers grounded in your live data.

Automated insight detection

The platform flags anomalies, emerging trends and hidden patterns automatically, so insights reach your team without anyone having to ask.

Predictive and prescriptive analytics

Go beyond “what happened”. Forecast what is likely to happen next and get clear recommendations on the best course of action.

Automated data preparation

AI cleans, transforms and integrates data from any source, so your team can focus on analysis rather than plumbing.

Lakehouse-agnostic

Pairs with the platform you already run.

Engineers and analysts still own the semantic layer and governance; everyone else gets self-serve answers.

Lakehouses and warehouses

Databricks
Snowflake
BigQuery
Athena
Apache Iceberg
Delta

Who uses it day to day

CX
Sales ops
Finance
Supply chain
Risk

How it fits

A layer, not a replacement.

Live data, not extracts
Queries hit the source of truth, so the answer is current — not yesterday’s snapshot.
RBAC preserved
The AI never sees what the user is not entitled to see. Permissions cascade unchanged from the lakehouse.
Lineage intact
Every answer traces back to the table, column and transformation it came from. Audit-ready by design.
Faster decisions, broader access
Data access extends across teams, and insights arrive before anyone requests them.

Where it fits

The answer layer on top of your data platform.

The AI-powered BI layer sits on top of your existing lakehouse or warehouse and respects its data governance, row-level security and lineage. Nothing is bypassed. It pairs naturally with the Data Platform we build and the Infrastructure it runs on.

FAQ

Frequently asked.

01How is this different from a traditional dashboard?

Reports react. Dashboards summarise. Our AI-powered BI answers — in plain English, on live data, the moment you ask. Natural-language querying replaces dashboard navigation, and automated insight detection surfaces patterns no one thought to chart.

02What is conversational BI?

A BI experience in which business users ask questions in natural language and receive answers grounded in live enterprise data — often with automated insight detection and predictive context on top, so the next question is anticipated, not just answered.

03Does it integrate with our existing data platform?

Yes. The AI-powered BI layer sits on top of any modern lakehouse or warehouse and respects its data governance, RBAC and lineage. No migration, no parallel stack and no surprise data egress.

04Who actually uses it day to day?

Business teams that currently wait on the data team for ad hoc questions: CX, sales ops, finance, supply chain and risk. Engineers and analysts still own the semantic layer and governance; everyone else gets self-serve answers without learning SQL.

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