Estima Scientific
Estima Scientific provides AI-powered software and services that automate health economics and outcomes research (HEOR), including systematic literature reviews, network meta-analyses, and economic modeling. The company develops bespoke generative AI solutions and web-based apps that accelerate evidence synthesis for pharmaceutical clients, helping them generate comparative effectiveness estimates and prepare for health technology assessment submissions.
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Health economics and outcomes research (HEOR) processes such as systematic literature reviews, network meta-analyses, and economic modeling are time-consuming and labor-intensive, delaying the identification of optimal treatments and slowing patient access to new medicines. Pharmaceutical companies face significant bottlenecks in evidence synthesis, which can postpone regulatory submissions and health technology assessments.
Solution
Estima Scientific uses generative AI to automate key elements of the HEOR workflow, including systematic reviews, network meta-analyses, and economic modeling. The company develops bespoke AI solutions, starting with proof-of-concept projects to determine automation potential, then productionizes the solutions so they can scale across entire HEOR organizations. Estima's web-based apps conduct automated end-to-end literature reviews—from search and screening to data extraction—with high accuracy and speed. The company's AI-assisted approach enhances objectivity and scientific rigor while accelerating the evidence generation needed for cost-effectiveness analyses and comparative effectiveness research.
Target Audience
Primary customers are pharmaceutical companies and health economics teams at top-tier pharma organizations that need to accelerate HEOR processes, generate comparative effectiveness estimates, and prepare for health technology assessment submissions.
Features
- Generative AI automation for systematic literature reviews, network meta-analyses, and economic modeling
- Web-based apps for SLRs and analysis tools for connected networks and single-arm trials with individual patient data (IPD)
- Bespoke AI solution development with proof-of-concept phase followed by productionization for enterprise-wide scaling
- Automated end-to-end literature review pipeline covering search, screening, and data extraction
- Peer-reviewed research and practical primers on applying GenAI in HEOR, developed with industry partners
- AI-driven approaches for cost-effectiveness analyses, comparative effectiveness research, and patient-reported outcomes measures