SourceCheck
A pre-flight reviewer for any AI research report: paste the document, get a per-claim provenance score, flagged sentences, and the primary-source links you'd need to confirm before it goes to a client.
Strategy consultants and analysts who rely on AI Deep Research agents for client briefings
- Claim-level provenance scoring (verified, suspect, unverified) with one-click primary-source links
- Risk dashboard highlighting sections where evidence is thin, contradictory, or matches known misinformation patterns
- Citation autopsy that surfaces dead links, fake DOIs, and paraphrased hoaxes hidden in the report
- Export annotated PDF with side-by-side claim vs. source notes for client deliverables
Recent arXiv work demonstrates that even limited misleading knowledge propagates into false conclusions across Deep Research agents, exposing a reliability gap consultants cannot ignore.
Multiple arXiv papers (DRNOISE, the cited survey) plus Trust Insights and consulting blogs explicitly flag deep-research hallucination risk in client deliverables, confirming a live pain point.DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence ↗AI Hallucinations in Consulting: How Errors Reach Client Deliverables ↗Deep Fact Checking - Trust Insights ↗
Several adjacent players exist (Provenance AI, Vera, Originality.ai, Clarifybot) but none are narrowly positioned as a pre-flight provenance reviewer for AI-generated research reports — defensible but contested.Provenance AI | Verifiability Infrastructure for the AI Era ↗Vera Pricing ↗Originality.ai Enterprise ↗
Enterprise verification tools command premium pricing (Vera is custom annual; Originality Enterprise ~$136/mo per seat); consulting firms are documented buyers willing to pay to protect client deliverables.Vera Pricing ↗Originality.ai Enterprise ↗
Hallucination risk is structural to current LLM-based generation; verification layers likely remain necessary until models are inherently grounded, though incumbents may absorb this feature.DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence ↗
Per-claim provenance with source-link verification is buildable with existing LLMs plus search APIs but requires careful evaluation pipelines and is not trivial to make reliable.