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DATA & SOURCES

The signals behind the intelligence

CanaryIQ connects evidence from across the innovation landscape. These are the categories of data we track, and how we make sense of them together.

What we track

No single source captures where technology is heading. CanaryIQ brings together complementary signals so each one provides context for the others:

  • Patents. Global filings reveal where organizations are investing in protection — often months or years before products ship.

  • Research papers & preprints. Peer-reviewed work and early preprints show where the science is moving and who is driving it.

  • Regulatory & policy filings. Policy shifts accelerate or stall adoption; we track the changes that reshape what is possible.

  • Public-company disclosures. Filings and disclosures signal how listed players are positioning around emerging technologies.

  • Expert commentary. Interviews, talks, and analysis surface what practitioners actually believe — and where consensus is forming or breaking.

  • Market & funding activity. Investment and market signals show where capital is flowing and how conviction is shifting.

How we connect and validate

Signals are only useful when they corroborate each other. CanaryIQ resolves the entities behind each source and links them, so a claim made in one place can be checked against evidence in another. Attention that is not backed by research, patents, or capital is flagged for what it is — noise.

Keep exploring

Data sources — common questions

CanaryIQ draws on patents, peer-reviewed research and preprints, regulatory and policy filings, public-company disclosures, expert commentary, and market and funding activity. These categories are tracked together so each source provides context for the others.
We combine public sources — such as patent databases, open research repositories, and public-company filings — with licensed data feeds. All sources are vetted for reliability and traceable back to the underlying evidence.
CanaryIQ continuously ingests new signals as they become available. Rather than batch updates on a fixed schedule, the pipeline is designed to reflect the innovation landscape as it moves — so you are working with current evidence, not last month's snapshot.

Put these signals to work

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