The AI and data-science-first data lake for vertical B2B data providers

Your production line,without building one

DataQrata runs sourcing, cleaning, matching and delivery for vertical data providers, so you can focus on your market and your customers.

Talk to us about your data product See how it works
One production line, any vertical
Sources23 records
1
Land registryok
FLAT 2 14 ALDER MEWS · £612,500 · 2024-03-14
2
Agent listingduplicate → merged
Flat 2, 14 Alder Mews N7 · 2 bed · £625k
3
Planning portalok
24/01873/FUL · rear dormer · approved
4
Energy certificate registerconflict → resolved
FLAT 14, 2 ALDER MEWS · C (71)
5
Title boundariesok
title polygon · 142 m²
6
Archived listingout of date → dropped
HTTP 404 · page removed
Property record assured
Flat 2, 14 Alder Mews, London N7
dq:prop:7Q2K9F
Last sale £612,500 · Mar 2024 [1·2]
Bedrooms 2 [2]
Planning Rear dormer, approved [3]
Energy rating C · 71 [4]
Plot 142 m² [5]
6 sources · 23 records in · 1 data product outIllustrative example
Sources17 records
1
Renewables planning databaseok
Hollin Moor Solar Farm · 49.9 MW
2
Grid connection queuealias → merged
HOLLIN MOOR SOLAR & BESS · 2028
3
Local planningok
22/0451/FUL · approved 2023
4
Company registryok
Hollin Moor Solar Ltd · charge registered
5
Satellite imageryok
ground works detected · Aug 2026
6
Developer websiteout of date → dropped
HTTP 404 · page moved
Power asset assured
Hollin Moor Solar + Storage
dq:asset:H7M2PV
Capacity 49.9 MW + 20 MW storage [1·2]
Grid connection 2028 [2]
Consent Approved 2023 [3]
Owner Hollin Moor Solar Ltd [4]
Build status Under construction [5]
6 sources · 17 records in · 1 data product outIllustrative example
Sources41 records
1
Firm website, portfoliook
11 current investments
2
Web archive, 2021ok
7 realised · 19 people listed
3
Press releasealias → merged
Northgate Ridge Ptnrs exits Corvel
4
Company registryok
38 directors across 11 companies
5
Firm website, teamok
14 people · 5 partners
6
Portfolio page v2format change → re-read
layout changed · 0 rows read
Private equity firm assured
Northgate Ridge Partners
dq:firm:N4R8TB
Portfolio 11 current · 7 realised [1·2·6]
Latest exit Corvel Systems · 2025 [3]
Portfolio management 38 executives [4]
Fund team 14 · 6 departed [2·5]
Lineage every field [1–6]
6 sources · 41 records in · 1 data product outIllustrative example

The problem

Every new source costs you.Before it earns you anything.

Building and running a data pipeline in-house is slow, expensive and distracting. Every new source, client format or delivery channel adds engineering cost before it adds revenue.

Meanwhile, any new entrant can aggregate what anyone can reach. With DataQrata you start with all of it already cleaned, connected and checked, and put your proprietary data on top. That is how you stay ahead.

How it works

Scattered, messy sources in.Trusted, ready-to-use data out.

Five steps, run continuously. Every data point can be traced back to where it came from.

  1. Source

    We gather data from licensed providers, public registries and the web, and only use what we have the right to use.

    Under the hood: managed connectors and crawlers, licence and terms tracking at source level, change detection for updates.

  2. Capture

    Everything is stored exactly as received, so nothing is lost and any figure can be checked against its original.

    Under the hood: immutable, append-only raw layer on open table formats (Apache Iceberg), full history and point-in-time recall.

  3. Clean and connect

    We standardise formats, remove duplicates, tag every record consistently and resolve it to the correct company, person or asset, so "Acme Ltd" and "ACME Limited" become one.

    Under the hood: schema enforcement, a semantic layer with a shared taxonomy of sectors, geographies and entity types, entity resolution against global identifiers (LEI, company registry numbers), golden-record survivorship rules.

  4. Curate and assure

    Clean data is shaped into finished datasets built for a specific use, each tested before release.

    Under the hood: versioned data products with data contracts, automated quality tests on accuracy, completeness and timeliness, end-to-end lineage.

  5. Deliver

    You receive data the way your team already works: a spreadsheet-friendly file, a live feed into your systems, or direct access for AI tools.

    Under the hood: REST API, zero-copy sharing to Snowflake and Databricks, scheduled bulk delivery, MCP server for AI agents, per-client entitlements and usage metering.

Technical mapping: Source = ingestion · Capture = Bronze layer · Clean and connect = Silver layer with master data management · Curate and assure = Gold layer data products · Deliver = serving and distribution.

Verticals

Curated for vertical markets.Curated data lakes for vertical B2B data providers.

Infrastructure

Power, digital and transport assets from consent to operation, with ownership and grid position attached.

Property

Every property matched to its address and boundary, with sales, planning and condition layered on.

Private markets

Firms, portfolios, management teams and people, connected, with the history most sources have lost.

Why providers use DataQrata

New channels without a rebuild.Any pricing model your customers want.

Launch new delivery channels

Zero-copy sharing to Snowflake and Databricks, or MCP access for AI tools, without rebuilding your stack.

Protect your resale rights

Full lineage and licence tracking on every field, so you always know what you can sell and to whom.

Price it your way

Per-client entitlements and usage metering support subscription, seat, volume or usage-based pricing.

API

Query data products and history, and subscribe to changes.

Data platforms

Delivered straight into your customers' Snowflake, Databricks or Microsoft Fabric, with no copies to manage.

AI tools

Direct access from Claude, ChatGPT and other AI tools, with sources attached.

Files and BI

Scheduled spreadsheet-friendly files, and feeds into Power BI and Tableau.

CRM

Records kept current inside the CRM your customers already use.

Works with

  • Claude
  • ChatGPT
  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Power BI
  • Tableau
  • Excel
  • Salesforce
  • HubSpot
  • Microsoft Dynamics 365
  • Affinity
  • DealCloud

Trust and security

Every figure has a source.Every access has a record.

  • Client data access is permissioned per dataset and per user, with full audit logs
  • Encrypted in transit and at rest, on major cloud infrastructure
  • Every field carries its source, timestamp and licence status
  • No client data is used to train models or shared across clients
  • SOC 2 Type II and ISO 27001 certification in preparation

Talk to us aboutyour data product.

Tell us your market, your sources and how your customers want to receive data. We'll show you what DataQrata can run for you.

hello@dataqrata.com

Buying data rather than selling it? DataQrata for data teams