Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Grounded AI is a remote team primarily based in London and Cambridge in the UK. Its core product, Veracity™, is built for academic publishing, research integrity, and the legal sector, offering “citation verification at scale.” Rather than serving as a general-purpose writing or plagiarism-checking tool, it focuses on automatically checking whether citations in a document are real, relevant, and accurate—especially risks such as fabricated references, AI-hallucinated citations, retracted sources, and metadata mismatches.
Veracity can process raw manuscript content directly, without XML tagging or preprocessing, and supports PDF, DOCX, LaTeX, HTML, Markdown, and 2,800+ citation styles. The system handles citation detection, parsing, matching in-text citations to references, source resolution, metadata comparison, relevance analysis, author-name disambiguation, and outputs flags for issues such as suspected fabrication, low relevance, retractions/corrections, unused references, self-citation, or abnormal author concentration. The official website says manual screening takes about 37.5 minutes per manuscript, while Veracity averages 3.3 minutes per manuscript, making it suitable for high-throughput submission pipelines.
Its positioning is clearly oriented toward B2B workflow infrastructure. The website discloses integrations or partnerships with Hum Alchemist Review, SciFlow, eWorkflow, PublishOne, ScholarOne, and Open Journal Systems, and also offers an API and standalone reports. In publishing, it is suitable for editors, reviewer-support workflows, and research integrity teams to screen for issues early in the submission process. In legal settings, it can be used for pre-filing review, analysis of opposing parties’ documents, verification by judges or clerks, and identifying fake case-law or statutory citations in AI-assisted drafting.
The official website only provides entry points such as Request a demo, Get started, and integration consultation. It does not publicly disclose plans, usage-based pricing, enterprise quotes, or free trial quotas. As a result, buyers need to contact sales before procurement and evaluate costs based on manuscript volume, integrated systems, and reporting requirements.
Its strengths are its vertical focus, concrete indicators, ability to embed into mainstream publishing workflows, and coverage of citation risks more granular than ordinary literature search. Its limitations are that the captured text does not explain its data privacy policy, underlying models, legal database coverage, false-positive/false-negative rates, or Chinese-language support. It is better suited to publishers, journal platforms, research integrity teams, legal institutions, and organizations that frequently process formal documents. For individual researchers who only need basic reference management, the entry barrier may be relatively high.
The official website does not provide information about access from mainland China, payment methods, or local compliance, so china_access can only be assessed as unknown. If you need support for Chinese papers, Chinese statutes, or local journal scenarios, it is recommended to test coverage directly and compare it with iThenticate, Turnitin Similarity, Scite, Crossref, Retraction Watch, and local literature database tools.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on groundedai.company official site.
groundedai.company is an United States AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach groundedai.company directly.