Data On Demand, one-stop data solution
Markets Local sources. Your time zone.

Teams in five regions rely on us for local-language, multi-currency data.

Global coverage
Company A decade of data expertise.

An in-house team of 20+ engineers and analysts serving clients in 12+ countries.

About us
How we work & trust

No black box. You see real data before you commit.

A clear five-step process, the same for one source or a thousand, with quality checks on every delivery and security built in from the first call.

Our process

  1. 01
    Day 0

    Scope

    Tell us the websites or apps, the fields you need, the volume and how often. We confirm what is feasible, flag anything that needs care, and sign an NDA first if you prefer.

    You receive
    • Feasibility confirmation
    • Field list and draft schema
    • NDA on request
  2. 02
    Day 1–2

    Free sample

    We extract a real sample from your own target source and deliver it in your preferred format, so you judge quality on your actual data, not a demo.

    You receive
    • Sample in CSV, JSON or Excel
    • Field-by-field notes
    • Proposal and timeline
  3. 03
    Week 1

    Build

    Engineers build extractors tuned to each source, handling pagination, dynamic pages, local languages and currencies, and access you are entitled to.

    You receive
    • Source-specific extractors
    • Your final schema
    • Delivery set up to your systems
  4. 04
    Every run

    Validate

    Every run passes automated schema, completeness and anomaly checks, followed by manual spot review before anything is released to you.

    You receive
    • Validated records only
    • Run summary with counts
    • Issues flagged, not hidden
  5. 05
    Ongoing

    Deliver and monitor

    Data lands on schedule in your chosen destination. We monitor every pipeline and repair it when a site changes, so your feed keeps flowing.

    You receive
    • Scheduled deliveries
    • Breakage monitoring and fixes
    • Direct engineer contact
Data quality

Eight checks before any record reaches you.

99.5%
validated data accuracy
01

Schema validation

Every field matches its expected type, format and allowed values.

02

Completeness

Missing or empty fields are caught against agreed thresholds.

03

De-duplication

Repeated records are detected and removed across pages and runs.

04

Anomaly detection

Sudden jumps in prices, counts or coverage are flagged for review.

05

Normalisation

Currencies, units, dates and categories standardised to your schema.

06

Coverage checks

Expected page and record counts are verified for every source.

07

Encoding checks

Arabic, accented and CJK text preserved correctly end to end.

08

Manual review

An engineer spot-checks samples before each release.

Trust and security

The answers enterprise buyers ask for.

Confidential by default

NDA available before scoping. Your source list and use case are never shared with anyone.

Encrypted delivery

Data is encrypted in transit and at rest, whether delivered by API, cloud storage or file transfer.

Isolated client environments

Pipelines, credentials and data are scoped to your account and never mixed across clients.

Least-privilege access

Only the engineers working on your project can access its pipelines and outputs.

Privacy laws scoped upfront

Projects are scoped against GDPR, PDPL, PDPA, CCPA and LGPD where they apply.

Clear data retention

We keep delivered data only as long as your contract requires, then delete it.

Responsible data

What we collect, and what we will not.

Read the full policy

We do

  • Collect publicly available information
  • Review each source’s terms before we build
  • Use considerate request rates that do not burden websites
  • Minimise personal data and exclude it where it is not needed
  • Respond promptly to site-owner and data-subject requests

We do not

  • Bypass logins, paywalls or technical barriers without your lawful entitlement
  • Collect sensitive personal data categories
  • Take on projects intended for harassment, discrimination or fraud
  • Resell one client’s data or source list to another
Service standards

What you can expect from us.

Exact service levels are written into your statement of work, so they match the sources and schedule you need.

AreaOur standard
Initial responseAn engineer replies to new enquiries within one business day in your region.
Free sampleDelivered within 24–48 hours of an agreed scope for most sources.
Pipeline monitoringEvery scheduled pipeline is monitored for failures, volume drops and schema changes.
Site changesBreakages are prioritised and repaired quickly; response times are agreed in your statement of work.
Data quality99.5% validated accuracy target, with issues reported in each run summary.
Support hoursCoverage in GCC, Asia-Pacific, European and Americas working hours.
Start with proof

See your own data before you commit.

Name the sources and fields you need. Within 24–48 hours you receive a real sample from your target sites, in your format, free of charge.

Request a free sample Talk to a data engineer Sample in 24–48 hours · NDA on request · Any format, any schedule