The Modern Evidence Challenge:

Drowning in Data, Pressed for Time

The body of published evidence and real-world data is growing exponentially, making traditional, manual processes unsustainable. Experts spend months on labor-intensive tasks—sifting through documents, extracting data, and writing reports—when their strategic insights are what matter most.

All of this occurs under immense pressure from evolving regulatory landscapes and the urgent need to accelerate patient access.

Our solutions focus on augmenting expertise with intelligent technology to create time and space for experts to focus on what really matter and delegate labor intensive tasks to technology without jeopardizing quality

Solutions to Accelerate and Enhance Research

Leveraging our 'human-in-the-loop' AI philosophy, we offer three distinct engagement models to solve your specific challenges.

Expert AI Strategy & Consulting

We partner with your leadership to de-risk your AI adoption. We'll analyze your existing workflows, identify the highest-impact opportunities, and deliver a clear, actionable roadmap for integrating GenAI to improve efficiency and scientific rigor.

Solution Accelerators

Robust, pre-built applications for common tasks, designed from the ground up to be rapidly customized to your exact needs to reduce manual effort and project timelines.

Custom-Built AI Tools

We co-create bespoke GenAI applications tailored to your proprietary data and specific research questions. This collaborative process puts powerful, custom-fit tools in the hands of your experts to create a unique competitive advantage.

Best for: Organizations with specific research challenges that require a tailored, co-developed solution.

Best for: Research teams looking to rapidly enhance their capabilities for specific, recurring tasks.

Best for: Leadership teams needing a clear plan for AI integration and workflow optimization.

Case Studies

Case Study 1: Custom Solution

Automating Data Synthesis and Entry

Client: Global Pharmaceutical Company

The Challenge: A client faced a significant bottleneck with a 100+ entry questionnaire required to use a core technology. Manually sourcing answers from published literature took experts days—and sometimes weeks—delaying critical research timelines.

Our Solution: We developed a custom multi-agent AI solution that automates document ingestion and initial questionnaire processing. The system identifies flags high-risk or ambiguous entries for mandatory expert review and allows researchers to interactively pressure-test and refine all AI-generated responses, ensuring final quality and control.

The Outcome: The complete process was reduced from a multi-day effort to mere minutes. The solution achieved over 90% accuracy when compared to benchmarks created by human experts, freeing up countless hours for the research team to focus on high-value strategic work.

Case Study 2: Solution Accelerator

Rapid HEOR Model Conceptualization

Client: Organization focusing on developing HE models

The Challenge: Conceptualizing a new health economic model is a daunting, labor-intensive process. It requires multiple researchers to spend weeks manually reviewing tens of documents to synthesize vast amounts of clinical, economic, and humanistic data before a robust model framework can be proposed.

Our Solution: Our turnkey, multi-agent AI system receives a high-level research question from the user. It then autonomously queries reputable online sources in addition to what user may provide, synthesizes the findings from the specific perspective of the research intent, and generates a comprehensive model concept, complete with design rationale and full referencing.

The Outcome: The initial, data-rich model concept is delivered in under 10 minutes. This transforms the starting point for research teams. Instead of spending weeks on manual data gathering, they can immediately focus on the high-value work of validating, refining, and enhancing a strong, AI-generated foundation.