Listen to this article
Uncountable secures $27 million in Series A funding to expand its AI-powered R&D platform, with investment led by Sageview Capital and participation from SE Ventures and existing backers. The company’s platform unifies experimental data across lab systems, helping enterprises accelerate product development. With over 120 customers and a growing team, Uncountable plans to enhance its machine learning capabilities and scale operations across data-intensive industries.
$27 Million and Counting: Why Investors Are Betting Big on Uncountable
Uncountable announces a $27 million Series A funding round. The round is oversubscribed and led by Sageview Capital, an investment firm that focuses on growth-stage, technology-enabled businesses. Participation also includes SE Ventures, the venture arm backed by Schneider Electric, and existing investors Teamworthy, 8VC, and MK Capital.
The investment brings new leadership perspectives to the company’s board. Caitlin Vorlicek, Principal at Sageview Capital, and Mike Crowe, former CIO at Colgate-Palmolive, are both joining as board members.
CEO Noel Hollingsworth calls the investment a pivotal moment for Uncountable, citing Sageview’s experience in scaling SaaS platforms and its focus on long-term collaboration.
The Hidden Chaos in R&D Labs That Uncountable Aims to Fix
Research and development labs often face issues tied to fragmented and siloed data systems. These disjointed structures hinder collaboration and prevent organizations from efficiently deploying machine learning models. The lack of unified data flows is a persistent challenge for enterprises across chemicals, materials, cosmetics, pharmaceuticals, and food sectors.
Uncountable targets this specific inefficiency by offering a centralized solution designed for R&D use cases. The platform brings cohesion to scattered data systems and allows companies to speed up product development processes without relying on fragmented infrastructure.
How a Unified Platform Unlocks the Full Power of AI
Uncountable offers a cloud-based R&D platform that supports digital transformation by unifying scientific data. Its AI-powered solution includes a web-accessible interface integrated with essential lab systems such as:
- Electronic Lab Notebooks (ELNs)
- Laboratory Information Management Systems (LIMS)
- Product Lifecycle Management (PLM)
- Quality Management Systems (QMS)
- Visualization and reporting tools
This structure helps researchers, chemists, and engineers analyze and interpret large volumes of experimental data without switching between systems. The platform also supports AI-driven optimization tools, which are increasingly essential for navigating complex product development cycles.
Recommended: Impart Security Raises $12 Million To Solve The Last Mile Problem In Application Threat Detection
From Startups to Giants: Who’s Already Using Uncountable
Over the past nine years, Uncountable has built a customer base that includes more than 120 industry leaders. The company now has 90 employees and reports profitable growth.
Companies currently using the platform include:
- Sika
- Beiersdorf
- Mondelez
- Clariant
These organizations span several industries with complex R&D workflows, signaling broad applicability across sectors that rely heavily on regulated data environments.
Inside the Strategy: What’s Next for Uncountable After This Raise
The new capital will help Uncountable deepen its machine learning and AI feature set. Development efforts will focus on strengthening the platform’s capabilities across enterprise environments, particularly in QA, QC, and PLM workflows.
Additional goals include expanding partnerships and enhancing customer support infrastructure to meet rising demand. With SE Ventures backing the round, the company also plans to leverage Schneider Electric’s reach in Uncountable’s target markets.
Varun Jain, General Partner at SE Ventures, cites the company’s capital efficiency and strong alignment with industrial market needs as key reasons for their support.
When Data Becomes a Superpower in Innovation
Caitlin Vorlicek highlights the current cycle of upgrades occurring across R&D departments. She notes that organizations are becoming increasingly aware that deploying AI effectively requires unified and accessible data.
Jason Hirshman, one of Uncountable’s co-founders, adds that outdated infrastructure is a major risk. He argues that modern R&D requires tools that streamline workflows and enhance the utility of AI. Without unified data, the pace of innovation slows, and competitive advantages diminish.
What This Means for the Future of Scientific Product Development
Uncountable’s founders—Noel Hollingsworth, Jason Hirshman, and Will Tashman—have built a platform that eliminates a key obstacle in scientific innovation: the lack of an integrated system of record.
By enabling R&D teams to use AI tools efficiently through a centralized platform, Uncountable creates a framework that supports scalable product development. With its growing network of enterprise customers and fresh funding, the company moves forward with momentum grounded in long-term infrastructure goals rather than short-term software trends.
Please email us your feedback and news tips at hello(at)dailycompanynews.com
