Cortellis is built for deep, specialized intelligence across the drug lifecycle. Atlas is built to turn a research question into a structured, publication-ready report by combining scientific literature, patents, clinical trials, and company evidence into one decision-ready deliverable.
Atlas and Cortellis both support evidence-based R&D decisions.
So what's the difference?
Atlas is a research intelligence platform built around the process of producing a finished report. Teams define a question, approve the scope and research plan, review the draft, and receive a structured deliverable that combines public evidence with their own internal knowledge.
Cortellis is a broad portfolio of life sciences intelligence products built around specialized datasets, analytics, and workflows for areas such as drug discovery, clinical trials, competitive pipelines, licensing deals, regulatory intelligence, CMC, product intelligence, and translational safety.
Atlas is organized around a structured research pipeline. Teams submit a brief, approve the scope and outline, allow specialist agents to conduct research, review the resulting draft, and export a finished report.
The emphasis is on methodology, traceability, collaboration, and the quality of the final deliverable.
Cortellis is organized as a portfolio of life sciences intelligence solutions. Teams select the product aligned with their workflow, such as competitive intelligence, deals, clinical trials, drug discovery, regulatory intelligence, CMC, product intelligence, or translational safety.
The emphasis is on specialized life sciences data, domain coverage, and decision support across the drug lifecycle.
Atlas: from brief to finished report.
Cortellis: specialized intelligence across the drug lifecycle.
Drug discovery, biological knowledge, target and mechanism intelligence.
Clinical trial planning, translational safety, and CMC intelligence.
Competitive pipelines, asset value, market opportunity, and portfolio strategy.
Deals intelligence, licensing analysis, and business development.
Regulatory intelligence and compliance across global markets.
Product intelligence, supply-chain visibility, and market planning.
Atlas is designed to take a team from an initial brief to a complete, shareable research document rather than leaving users to assemble outputs from multiple searches and intelligence views.
Scope, outline, and draft approvals are built into the workflow.
A Review Agent checks whether the research adequately covers the approved scope and launches an additional targeted pass when gaps are found.
Atlas can support life sciences questions, but it is not limited to pharmaceutical intelligence. Teams can also investigate materials, energy, semiconductors, advanced manufacturing, emerging technologies, and other research areas.
Atlas can cite proprietary organizational documents alongside external sources within the same report.
Literature reviews, technology landscapes, company intelligence, and competitive analyses all follow the same structured workflow.
Cortellis is designed specifically for pharmaceutical, biotechnology, clinical, regulatory, and commercialization workflows.
Its portfolio spans discovery through clinical development, regulatory approval, partnerships, manufacturing, and commercialization.
Cortellis provides structured information focused on areas such as drug pipelines, clinical trials, licensing deals, regulatory requirements, safety, and product intelligence.
Organizations can select products based on the precise intelligence function they need rather than using one generalized research workflow.
Not every organization needs to replace one with the other. A life sciences organization could use Cortellis as a specialized intelligence source while using Atlas to structure broader research questions, combine Cortellis findings with other public and internal evidence, and produce a finished report for stakeholders.
For teams already invested in specialized databases, Atlas can serve as the research and reporting layer that turns information from multiple sources into a coherent, reviewable deliverable.
Not in every use case. Cortellis is better aligned with teams that need specialized pharmaceutical, clinical, regulatory, deals, safety, or product intelligence. Atlas is better aligned with teams that need to turn a complex question into a structured, publication-ready research report.
Yes. Atlas can produce literature reviews, technology landscapes, company intelligence reports, and competitive analyses for life sciences and biotechnology topics.
Atlas conducts structured research across available public and proprietary sources and can incorporate a customer's internal documents. Cortellis provides specialized life sciences intelligence products and curated datasets; Atlas should not be positioned as containing the same proprietary datasets.
Yes. A team may use Cortellis for specialized life sciences intelligence and Atlas to synthesize evidence from multiple sources into a structured report.
Atlas offers a self-service free plan for teams that want to begin producing reports immediately. Cortellis adoption depends on the products, data, and enterprise workflows an organization requires.
Atlas turns complex R&D questions into structured, cited, publication-ready reports with human review built into the process.