ThirdPartyIQ is the AI intelligence layer for third-party risk. Always-on agents collect the evidence, read it, and sense signals across financial health, cybersecurity, sanctions and watchlists, legal, reputational, and regulatory risk. Then they reason across it all to deliver a specific, cited recommendation, not another dashboard.
Get in touchRegulators expect institutions to know, continuously, whether the third parties they depend on are financially sound, adequately controlled, and free of legal, sanctions, and regulatory exposure. Most of the evidence that would answer those questions already exists in SOC 2 reports, financial statements, attestations, and public records. It is just scattered, unread, and out of date, because collecting it and reading it is manual work no team has enough hours for. So programs fall back on sending questionnaires once a year and hoping nothing moves in between.
ThirdPartyIQ is an agentic AI platform that does that work continuously. Always-on agents collect the evidence, read it, monitor six risk domains against it, and deliver a specific recommendation with the citation behind it when something changes. The software does the gathering and the reasoning. Your team makes the decision.
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Third-party documentation is retrieved on your authority and kept current as new versions are published.
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AI reads every document and extracts controls, exceptions, subservice organizations, and coverage dates into structured evidence.
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Always-on agents sense signals across six risk domains and correlate every change against what is on file.
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A specific recommendation arrives with its evidence cited, along with the workflows and escalations it triggers, for your team to approve.
SOC 2 reports and bridge letters, attestations, continuity plans, insurance certificates, financial statements, and policies are collected on your authority and kept current as new versions are published.
ThirdPartyIQ answers the majority of assessment questions from evidence already gathered, before you send a single question. Only the exceptions go to the third party, and lower-criticality relationships can be cleared on evidence alone.
Annual reviews mean you learn about a third party's financial deterioration months after it mattered. Always-on agents monitor continuously, correlate new signals against the evidence on file, and separate noise from real risk.
Third-party risk is where we start, and the question is the same for every external party you depend on. ThirdPartyIQ reads signals across six risk domains and assesses vendors, suppliers, borrowers, commercial customers, and counterparties from one intelligence layer.
Risk domains we read
Third-party documents we collect
Collected on your authority and kept current as new versions are published, then read by AI that extracts controls, exceptions, subservice organizations, and coverage dates.
Relationships we assess
Industries we serve
Most platforms hand you feeds and scores. We go get the source documents, keep them current, and read them. That is what makes an assessment answerable before anyone is asked to fill out a form.
AI does the reasoning and shows its work. Every recommendation is evidence-cited, every decision is logged, and the full record of what triggered an action is exportable for regulatory examination.
ThirdPartyIQ works alongside the GRC, third-party risk, and procurement systems you already have, and just as well for teams running on spreadsheets and email. Nothing to rip out.
ThirdPartyIQ was founded by the leadership team behind a GRC platform for regulated financial institutions. Nine years building together. Operators who know this buyer, this regulation, and this problem.
We have spent our careers building and delivering software that Risk and Compliance Officers, Procurement teams, and Supplier and Vendor Management teams use every day, and putting it into production inside regulated organizations.
About the companyTell us about your third-party portfolio and examination environment. We'll show you what continuous intelligence looks like for your institution.
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