Scoop

We’re building AI agents that speed up drug trials by automating the manual consolidation and document prep required for every IND submission. Today, biotechs spend months stitching together reports from contractors and internal teams just to file and get to their first-in-human trial.

High-Level Overview

Scoop Systems, Inc is an AI-driven biotech startup founded in 2025 in San Francisco that develops AI agents to accelerate drug trials by automating and continuously updating Investigational New Drug (IND) filings. Their product transforms existing study, manufacturing, and support documents into draft IND submission texts with full traceability and issue detection, primarily serving regulatory teams, Contract Research Organizations (CROs), and biotech sponsors. This automation addresses the complex, time-consuming process of IND preparation, improving accuracy and efficiency while enabling dynamic updates as new data emerges. Early enterprise pilots and demos indicate growing traction, with a total addressable market estimated around $68 million annually targeting small to mid-sized biotechs in the U.S.[1][2][7]

Origin Story

Scoop was founded in 2025 by a two-person team emerging from Y Combinator, reflecting a focus on leveraging AI to streamline regulatory compliance in drug development. The idea arose from recognizing the inefficiencies and error-prone nature of manual IND drafting, especially for Modules 2 and 3 narratives, which are critical for FDA submissions. Early traction came through enterprise demos and pilot projects with regulatory teams and CROs, validating the concept of a continuously updated IND workspace rather than static, one-off submissions[1][2].

Core Differentiators

• Product Differentiators: Scoop’s AI agents uniquely convert complex, multi-source biotech documents into draft IND texts with sentence-level traceability to original data, flagging inconsistencies and automatically updating affected sections as new information arrives.
• Developer Experience: The platform integrates seamlessly with existing study and manufacturing data, reducing manual input and enabling regulatory teams to focus on higher-value tasks.
• Speed and Pricing: By targeting small and mid-sized biotechs with a subscription model around $75k per IND-year, Scoop offers a cost-effective alternative to traditional manual IND preparation.
• Community Ecosystem: While early-stage, Scoop’s integration with CROs and regulatory consultants positions it within a growing ecosystem of AI-enabled drug development tools[2][7].

Role in the Broader Tech Landscape

Scoop rides the accelerating trend of AI adoption in clinical research and regulatory processes, a sector increasingly pressured to improve efficiency and reduce time-to-market for new drugs. The timing is favorable due to rising regulatory complexity, growing volumes of clinical data, and the pharmaceutical industry's push for digital transformation. By automating IND filings, Scoop addresses a critical bottleneck in drug development, complementing broader AI-driven innovations in trial design, patient recruitment, and drug discovery. This positions Scoop as a key enabler in the evolving biotech ecosystem, facilitating faster, more reliable regulatory submissions and potentially influencing standards for continuous IND updates[2][5][7].

Quick Take & Future Outlook

Looking ahead, Scoop aims to expand beyond initial IND drafting to cover amendments, annual reports, and filings in other regions, evolving the IND into a continuously updated, collaborative workspace. As regulatory agencies and biotechs increasingly embrace AI, Scoop’s influence could grow significantly, potentially setting new norms for regulatory document management. Trends such as AI-driven clinical trial optimization and real-time data integration will shape Scoop’s trajectory, offering opportunities to deepen its role in accelerating drug development timelines and reducing operational burdens for sponsors and CROs[2][5][7]. This forward momentum ties back to Scoop’s core mission of transforming drug trial regulatory workflows through intelligent automation.