PubGrade Research Analytics - 2026 Pricing, Features, Reviews & Alternatives

PubGrade Research Analytics is a cloud-based market intelligence platform that aggregates and connects scientific data across publications, preprints, grants, clinical trials, conference presentations, patents, and corporate filings. Life science companies, biopharma and biotech organizations, instrumentation and reagents vendors, CROs, CDMOs, and academic and society publishers use the platform to identify scientists, labs, institutions, and companies based on verified research activity rather than demographic or firmographic proxies. Every result is linked to the underlying scientific records that explain its inclusion, providing full transparency into search logic and evidence.

PubGrade Research Analytics supports multiple workflow types within a single platform. Sales and business development teams use scientific lead generation to build precise segments based on product mentions, funding activity, conference participation, and publication output. Market intelligence and strategy teams track emerging research topics, competitor product adoption, and technology maturity across the full research lifecycle from funding through clinical development. Editorial, publishing, and event teams identify authors, reviewers, editorial board candidates, speakers, and research communities. The platform's AI Chat accepts plain-language questions and translates them into structured searches with suggested synonyms, related methods, and alternative terminology. Deep Research produces structured tables and briefs by analyzing actual product use and comparing studies across a selected evidence set. An AI Filter Assistant builds reusable filter and tag groups for competitors, product families, techniques, targets, and disease areas, including pathway marker expansion from uploaded gene lists. Data sources include PubMed, bioRxiv, medRxiv, NIH RePORTER, EU CORDIS, ClinicalTrials.gov, SEC filings, USPTO, EPO, OpenAlex, and Crossref. The platform is also available as custom APIs, data feeds, and extracts for organizations building internal databases, analytics workflows, and GenAI applications. Licensing is flat-fee, covering 5 to 150 seats from 7,200 EUR per year, with onboarding support from PhD- and MSc-level professionals.