Your next great product feature|
needs external data.

We discover, test, and integrate it for you — one platform and one team, from first search to production feed.

Vendor calls, contracts, infosec, legal, provenance, data transfers, normalizing — handled, so your team can focus on data and outcomes.

RECLAIM YOUR CALENDAR

8:00

Marketplace research

Focus block · 90 min

10:00

Budget call with vendor

Zoom Meeting · 60 min

11:00

Infosec 'findings'

Internal Meeting · 30 min

11:30

Call with Legal (again)

Internal Meeting · 60 min

1:00

IT & vendor coordination

Zoom Meeting · 45 min

2:30

Budget approval meeting

Internal Meeting · 60 min

4:00

Data transfer issue

Vendor support · 90 min

Logo

Farmers Insurance

Loved by busy data teams at Fortune 500s like Farmers Insurance

Marketplaces have missed the mark

A data marketplace is built to send vendors leads and drive warehouse usage. Solving the enterprise buyer's real problems was never the point.

A fraction of the market

Over 70% of commercial data never reaches an ontology. Vendors sell it directly.

The hard parts, ignored

Budgets, testing, sales calls, contracting, security reviews. A marketplace touches none of the real work.

Data was never add-to-cart

Data isn't plucked off a shelf like a book. The market is complex, the details matter, and the process to find value is paramount. One-click buying is a myth.

We pick up where marketplaces leave off

A singularly focused team and platform, accelerating external data from idea to outcome.

Phase One

Discovery

A vetted shortlist of sources — provenance, security, and pricing already cleared

Provenance verified

Full sourcing and chain-of-custody on every dataset we surface.

Security screened

Each vendor's security posture assessed against your bar.

Attribute coverage

The breadth and reach to match what you're solving for.

Transparent pricing

Side-by-side commercial terms to compare vendors quickly.

Phase Two

Testing

Validated test data in your warehouse in weeks — we run the vendor calls

Managed vendor and internal calls

We run vendor engagement end to end so your team doesn't.

Sample validation

Test data checked for quality and completeness before it lands.

Landed where you work

Delivered into Snowflake, Databricks or your existing stack.

Fast turnaround

From request to ready-to-test data in weeks, not quarters.

Phase Three

Integration

A production feed with SLAs, quality monitoring, and vendors managed for you

Custom feed engineering

Production pipelines built and tuned to your schema and cadence.

Enterprise SLAs

Guaranteed uptime and delivery windows backed by support.

Quality monitoring

Ongoing data quality checks with alerts when something drifts.

Vendor support

We stay in the loop with vendors so you don't manage them.

Enterprise Deployed

Fortune 100 insurers, global reinsurers, and high-growth fintechs run their external data workflows on Datastruct.

Industry leaders

3of ten

Three of the ten largest U.S. P&C insurers run on Datastruct

Global scale

6countries

Running enterprise data workflows in production across six countries

Critical workflows

7Billion

Powering the data workflow that has provided 7B in growth capital

Quote

When we have an external data need, we start with Datastruct. From Discovery to Production, they make it simple.

Robert Weishaar VP Small Business Analytics · Cincinnati Financial Group

Have a use case you'd like to discuss?

Let us provide you a comprehensive data landscape at no charge.

We're not testing much external data right now. Why would we adopt your service?

This is common. Organizations tend to adapt their behavior to their organizational constraints. If you haven't invested in ongoing discovery and testing capabilities internally, it's no surprise consumption is low. The lack of investment also makes discovery and testing a risky proposition for most business leaders who will vastly prefer a clear path to success.

This is a case of induced demand: when that constraint is removed, appetite goes up. Business and data leaders start putting forward new use cases for external data, consumption increases, and meaningful business outcomes follow.

Are you a data marketplace?

No. While we maintain a growing data ontology covering the world's open and commercial data, it's not like commercial marketplaces where you select a data product and buy it off the shelf.

We don't believe marketplaces solve the real problems data teams face with external data. The real problem isn't getting data into Snowflake or having a click to buy button. It's having the time and energy to do thorough discovery and vendor communication to narrow down the right set of sources, and then having the time, resources, and technology to run effective data tests to determine true fit for purpose. Marketplaces skip over these problems because they're hard. This is where Datastruct shines, and why so many customers have worked with us for years.

Is your offering a product or a service?

Both. We have technology that enables proactive discovery across hundreds of use cases our customers care about, along with specific technology that makes testing faster and higher quality. We also run a dedicated data platform that feeds APIs, warehouses, files, and other systems every minute of the day. Alongside that, we have a dedicated team supporting your team, your vendor relationships, and our platform and technology every step of the way.

We can't get our internal data straight, I can't imagine we'd invest in external data.

While it would seem to follow that external data would be even harder to operationalize than internal data, we've seen the opposite time and time again. New external data feeds just don't have the constraints of internal data owners and systems.

It is not unusual for organizations to bring in new open or commercial data feeds in weeks to solve a critical business challenge, rather than spending quarters negotiating to modify or gain access to internal systems and data.