Veridelity is the enterprise-grade editorial triage platform that instantly audits manuscripts, secures intellectual property, and protects publishers from research misconduct.
Veridelity isn't here to replace human experts—it's here to protect their time. Use Veridelity as your automated first-pass filter to instantly bounce sloppy, hallucinated, and mathematically impossible submissions back to the author before a human reviewer ever has to look at them.
Veridelity acts as the definitive first line of defense against research misconduct, paper-mill fabrications, and unintentional data errors. It sits perfectly between authors submitting their work and peer reviewers spending their valuable time.
Unlike disjointed web tools that risk IP leakage by sending unpublished research to the cloud, Veridelity operates locally and securely. It provides a unified ecosystem that transforms editorial bottlenecks into seamless, automated operations.
Upon receiving a manuscript package (documents, datasets, images, and ZIP archives), Veridelity executes a deep, multi-engine AI radar scan. It automatically flags:
Veridelity is built around a flexible Bring Your Own Key (BYOK) architecture. You completely control the data egress boundary. Depending on your organization's security posture, you can operate the node in two distinct modes:
Ideal for pharmaceutical trials, classified military research, and proprietary pre-patents. With online passage matching switched off and no API keys, Veridelity runs 100% locally on your machine CPU and no manuscript text leaves your computer.
Connect your API keys (SerpAPI, OpenAI, Crossref) to supercharge the node. Only short passages (about 25 words), isolated text chunks and downsampled image thumbnails are transmitted to verify claims. Online passage matching against open literature is on by default and can be switched off in Settings.
*In both modes, full PDF structures, proprietary datasets, and author identities never leave your local workspace unless explicitly configured.
See exactly how Veridelity helps editors reconcile findings, inspect evidence, and produce a traceable decision record.
Veridelity is built for the people who review, publish, interpret, and protect scientific information.
Instantly desk-reject fatally flawed papers. Protect your unpaid peer reviewers from burnout by filtering out fabricated or plagiarized submissions before assignment.
Reclaim hours of manual cross-referencing. Review statistically implausible data, duplicated figures, and citation hallucinations instantly within a unified dashboard.
Protect journal reputation from retractions. Generate immutable, tamper-evident audit receipts that provide traceable decision record against author disputes.
Maintain a zero-risk IP footprint. Veridelity acts as an air-gapped malware buffer and executes locally. Nothing is sent to generative LLMs unless you add your own key, and you can switch off all online passage matching.
Generative AI has made faking text and images effortless. Competitors are fighting yesterday's war by trying to detect AI-generated content. Veridelity attacks the one thing fraudsters cannot easily fake: the raw data.
| Capability & Feature | Veridelity | Cloud SaaS Platforms |
|---|---|---|
| Architectural Privacy | ✔ Local "Master Node" (Zero IP Leakage) | ✘ Requires uploading unpatented IP to 3rd-party clouds |
| Core Detection Strategy | ✔ Hard Data Validation & Forensic Evidence | ⚠ Post-generation AI Content & Image Detection |
| Raw Dataset Validation | ✔ Parses raw Excel/CSV data to match manuscript claims (N-counts) | ✘ Only scans flattened text and images |
| Hidden Forensics | ✔ Cracks open .docx XML for scrubbed edits & ghost-author trails | ✘ Flattens documents before analysis |
| Patient Privacy (PHI) Shield | ✔ Hunts for Dates of Birth and MRNs hiding in supplemental data | ✘ Limited to main manuscript text |
| Cost Model | ✔ Scalable Tiered Licensing ($10 - $15 per manuscript) | ✘ High-margin Pay-Per-Submission ($30 - $125+) |
Get instant access to the Veridelity executable. Select your estimated annual manuscript processing volume.
Evaluation packages include a synthetic paper-mill file (Sample_Test_Submission.zip) containing known PHI, scrubbed edits, and manipulated images to test the forensics engine.
