Expert Intelligence Raises $4.7M Seed Round to Automate Expert Judgment in Regulated Labs

The startup's AI platform operates directly on raw instrument data to enable faster, more accurate, and auditable analysis across regulated industries.

Published on Feb. 4, 2026

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Expert Intelligence, a startup building AI systems that automate expert decision-making in regulated laboratory environments, has raised a $4.7M seed round led by Sierra Ventures with participation from TSVC and Acorn Pacific Ventures. The company's platform, founded by veteran AI engineer Lalin Theverapperuma, Ph.D., operates directly on raw instrument data to learn how expert analysts make decisions using a small number of samples, unlike traditional ML systems that require massive datasets.

Why it matters

Expert Intelligence's technology unlocks a new category of automation for regulated labs that have invested heavily in instrumentation but still rely on human review for critical decisions. By scaling expert judgment with accuracy, transparency, and audit readiness, the platform enables labs to increase throughput without introducing new compliance risk.

The details

Expert Intelligence's platform is built on the Limited Sample Model (LSM), a new approach designed to learn how expert analysts make decisions using a small number of samples. Unlike large language models or traditional ML systems that require massive datasets, LSM is built for regulated environments where data is scarce, highly contextual, and tightly controlled. Since commercial deployments in early 2025, Expert Intelligence has secured customers across analytical testing workflows in pharmaceuticals, drug manufacturing, and food and beverage safety, supporting use cases such as automated result review, anomaly detection, and expert-level decision consistency.

  • Expert Intelligence was founded in 2025.
  • The company announced its $4.7M seed round on February 4, 2026.

The players

Expert Intelligence

A startup building AI systems that automate expert decision-making in regulated laboratory environments.

Lalin Theverapperuma, Ph.D.

The founder and CEO of Expert Intelligence, a veteran AI and machine learning engineer with more than 20 years of experience at Apple, Meta, Intel, and Bosch.

Sierra Ventures

An early-stage venture capital firm that led Expert Intelligence's $4.7M seed round, focused on enterprise and deep technology companies.

TSVC

A venture capital firm that participated in Expert Intelligence's $4.7M seed round.

Acorn Pacific Ventures

A venture capital firm that participated in Expert Intelligence's $4.7M seed round.

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What they’re saying

“Expert Intelligence is building foundational infrastructure for autonomous decision-making in some of the most demanding environments in the world. Their ability to learn from limited data and operate at the instrument level unlocks a category of automation that simply wasn't possible before in regulated labs.”

— Ben Yu, Managing Partner (Sierra Ventures)

“Labs have invested heavily in instrumentation, but critical decisions still bottleneck on human review. We built LSM so regulated labs can scale expertise with accuracy, transparency, and audit readiness from day one. Our models learn directly from how experts interpret raw signals, allowing labs to increase throughput without introducing new compliance risk.”

— Lalin Theverapperuma, Ph.D., Founder and CEO (Expert Intelligence)

What’s next

The new funding will be used to accelerate customer expansion in pharma, deepen integrations across laboratory systems, and build go-to-market and customer success capabilities.

The takeaway

Expert Intelligence's AI platform that learns from limited data and operates directly on raw instrument signals represents a breakthrough in automating expert-level decision-making in highly regulated laboratory environments, enabling faster, more accurate, and auditable analysis across industries like pharmaceuticals, diagnostics, and food safety.