Give evidence a clear trail.
Enterprise-grade verification infrastructure for organizations navigating high-volume information, misinformation, AI-generated media, and evidence-sensitive decisions.
Turn assertions into records people can inspect.
Provenance AI helps turn a claim into a reviewable trail: the wording, the surrounding context, the sources considered, and the reasoning that remains open.
Follow a claim through the systemVerification built for work already underway.
Different teams need different surfaces. The underlying discipline stays visible.
Prove
Prove is a social app built around a verified feed: claims are fact-checked before they become posts. Follow accounts, react, reply, and repost while keeping the evidence visible.
Structured outputs
Store verification results in structured formats your team can display, connect to existing systems, and inspect across review, reporting, and audit workflows.
Monitoring
Build and deploy agents tailored to the problems your enterprise needs to solve. A live X example turns a mentioned claim into a source-backed review record.
Verification is becoming foundational infrastructure.
Mohith Agadi, CEO of Provenance AI, spoke with CB Insights about building trust into information workflows.
In this interview, Mohith Agadi discusses moving from reactive moderation to proactive verification. Provenance AI helps teams trace claims to credible sources, preserve context, and structure evidence. He also considers how integrations, human feedback, and shared standards could make verification routine.
Read the CB Insights interviewDifferent decisions. The same need for an inspectable trail.
Provenance AI supports teams that need to understand why a claim appears supported, contradicted, or unresolved before acting on it.
Editorial / Newsroom
Trace claims and citations before publication, correction, or follow-up reporting.
Research / Investigation
Keep questions, source comparisons, and unresolved evidence together for review.
Trust and Safety
Triage emerging claims without turning an automated signal into a final enforcement judgment.
Communications / Public Information
Examine fast-moving assertions before issuing a response or public clarification.
Government / Public Sector
Support evidence-sensitive briefings, policy work, and public-information decisions.
Law Enforcement / Public Safety
Preserve the distinction between an investigative lead and verified operational evidence.
Our AI agent, cited in an IndiaTimes fact-check.
IndiaTimes cited the Provenance AI agent’s public assessment of a viral GTA 6 early-access claim.
The agent added a dated, claim-specific assessment of the viral GTA 6 early-access story to IndiaTimes’ coverage. Its Unverifiable verdict helped distinguish widely shared posts from confirmed information and made the lack of official Rockstar confirmation clear for readers.
Trusted in serious information work.
Organizations and teams using, evaluating, citing our outputs, or working with Provenance AI across research, publishing, technology, and information integrity.
- The Alchemy Crew
- The Alan Turing Institute
- CETaS
- Frontiers
- Routledge
- MJRC
- LTM (Mindtree)
- Fact Protocol
A selection from our broader list.
Proving AI use is the enforcement challenge.
Yahoo! News carries a Decrypt article quoting our CEO’s thoughts about proposed bipartisan legislation targeting AI-assisted fraud.
Mohith argues that stronger penalties must be matched by practical evidence: investigators still need reliable ways to establish when AI was used. He points to investment in digital forensics and provenance systems such as C2PA as part of making enforcement workable.
Read the article on Yahoo! NewsFrontier technology, applied to visible evidence.
Frontier AI, open standards, and reliable infrastructure help us build tools for evidence-sensitive work. Together, they make information easier to examine, trace, and use with care, while keeping the systems and their limits visible.
No label can carry the whole burden of proof.
New events may have no reliable public source yet. Search can miss local or inaccessible material, provenance can be stripped, and media detectors can disagree. Provenance AI should preserve that uncertainty rather than invent closure.