Skip to content
J·BJon BishopIndependent growth marketer

Government opportunities · Small-business funding

SBIR/STTR Award and Company Data

Discover funded technical startups, award abstracts, agencies, topics, phases, and competitors; identify non-dilutive funding patterns relevant to deep-tech SaaS. Especially useful for developer/data founders selling to or emerging from federally funded technical small businesses.

Price
Price not confirmed
Access
Web, download, or API

Put it to work

Potential use cases

A starting use for this source

Discover funded technical startups, award abstracts, agencies, topics, phases, and competitors; identify non-dilutive funding patterns relevant to deep-tech SaaS. Especially useful for developer/data founders selling to or emerging from federally funded technical small businesses.

Identify a public-sector research lead

Use relevant awards, contracts or funding records to shortlist organizations and problem areas for further investigation. Separate historical funding or awards from opportunities that are still open.

What it covers

Geography and granularity

Geography: Use the geography stated by the source; coverage can vary by dataset and release.

Granularity: Discover funded technical startups, award abstracts, agencies, topics, phases, and competitors; identify non-dilutive funding patterns relevant to deep-tech SaaS.

Source type: Small-business funding

Access and cost

Web, download, or API

Downloadable CSV datasets, award/company/topic APIs, data dictionaries, and searchable pages; award and company downloads are publicly offered.

Cost: Current price was not established in this review; check the provider's access terms.

Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

Before you use it

Limits that matter

The page says downloads and API fields differ, page downloads are limited to 10,000 records, and large award files can be hundreds of MB; validate field definitions before aggregating.

Prefer to write? Send Jon a message.