Finite State Raises $27 Million Series C to Expand AI-Powered Device Security

Finite State has raised $27 million in Series C funding to expand its AI-driven product security platform and international operations. The round was led by private funds managed by The O.H.I.O. Fund, with participation from CIBC Innovation Banking, Energy Impact Partners, Energize Capital, and National Grid Partners.

The Columbus, Ohio-based company focuses on a problem that becomes more consequential as vulnerability discovery accelerates: manufacturers need to know what software actually runs inside the devices they sell. A flaw in a shared component can affect vehicles, medical equipment, industrial systems, or consumer electronics, but determining which finished products contain that component can be difficult.

Finite State plans to use the capital to deepen its presence in international markets and develop more autonomous platform capabilities. Its technology combines analysis of software artifacts with vulnerability intelligence and compliance workflows, aiming to turn an inventory of shipped code into decisions about what needs attention.

Inspecting the Software That Actually Ships

Connected products are assembled from many sources: an operating system, open-source libraries, supplier SDKs, board-support packages, and proprietary applications. Manufacturers may control their own source code while having limited visibility into compiled components supplied by other vendors.

A build manifest describes what a development process expects to include. Firmware analysis examines the artifact produced by that process. The difference matters when packaging adds a component, a supplier modifies a library, or a dependency is compiled directly into an executable.

Finite State’s binary-analysis documentation describes unpacking firmware images, containers, archives, and executables, then identifying components through binary software composition analysis. It also applies static application security testing to compiled code, examining weaknesses beyond a simple list of package names.

The resulting inventory can include modified and statically linked components, with findings enriched by vulnerability, exploit, and license information. The analysis also looks for hard-coded credentials, exposed keys, and cryptographic issues. Supported inputs include firmware, shared libraries, mobile application binaries, and third-party software, as well as source code when available.

This is the foundation of the company’s pitch: security decisions should follow the contents of the finished product, rather than depend entirely on the documentation that accompanies it.

Turning a Component Inventory Into a Remediation Decision

Finding a vulnerable component is only the beginning. A product team still needs to determine whether the affected code can be reached, whether an exploit is relevant to the device’s configuration, and which releases or product variants need a fix.

Finite State’s platform overview describes prioritization based on reachability, exploit intelligence, and product context. The aim is to reduce the time engineers spend investigating findings that do not represent the same level of practical exposure.

A software bill of materials, or SBOM, records the components in a product. Vulnerability Exploitability eXchange, or VEX, adds information about whether a particular vulnerability affects that product. Together, those records help distinguish an inventory question—whether a component is present—from an assessment of the risk it creates.

Finite State says its platform can identify known and previously unknown vulnerabilities. That combines different kinds of analysis: matching components against disclosed issues and examining compiled code for weaknesses. The usefulness of the result depends on the evidence behind a finding and its relevance to the device, not simply the number of alerts produced.

AI Automation Still Needs Evidence About Analysis Quality

One practical example of the company’s AI work is its AI Unpacking Evaluation Agent, introduced earlier in 2026. The agent evaluates how completely an uploaded artifact was extracted and explains gaps that may limit the subsequent analysis.

That step is important because a scan cannot assess code it never successfully extracted. Encrypted containers, nested archives, or unusual firmware packaging can leave part of an artifact outside the scanner’s view.

Finite State says the agent supplies a quality rating, identifies likely causes of incomplete extraction, and recommends actions such as decrypting content, unpacking it locally, or repackaging an archive before another upload. The automation helps teams understand what the analysis covered, rather than treating every completed scan as equally comprehensive.

The broader platform connects that analysis to reviewable workflows. Its published architecture describes bringing firmware, binaries, source code, supplier SBOMs, and documentation into a common process for generating security findings, verification evidence, and reports.

Connecting Product Security to Compliance Work

The financing announcement places regulatory pressure alongside faster vulnerability discovery as a driver of demand. Manufacturers increasingly need evidence showing how they identified software risks, assessed their impact, and addressed them across the product lifecycle.

Finite State generates SBOMs, VEX records, and compliance packages tied to product artifacts. Its platform also links architecture, security requirements, and verification work, helping teams connect a design decision with the software that reaches a customer.

That connection can make release-to-release changes easier to track. When a supplier updates a component or a manufacturer ships a new firmware image, security evidence needs to reflect the new artifact rather than remain a static document from an earlier release.

The announcement includes feedback from JET OPTOELECTRONICS, a Tier 1 automotive electronics and smart-cockpit supplier. Bruce Lin, a senior manager in its software department, highlighted Finite State’s visibility into shipped devices, direct and transitive dependencies, and compliance evidence mapped to the requirements the supplier faces.

Funding the Next Phase of Product Security

Founder and CEO Matt Wyckhouse framed the challenge as a widening gap between the speed of AI-assisted vulnerability discovery and manufacturers’ ability to identify affected products. The new funding supports both platform development and a wider international footprint.

The investor group also reflects the range of systems exposed to software supply-chain risk. Connected-device security reaches beyond conventional IT into power infrastructure, industrial operations, transportation, and healthcare—environments where identifying a flaw and deploying a safe fix can involve many parties.

Finite State’s Series C backs a strategy built around making those decisions more tractable: inspect the shipped software, connect findings to the products they affect, prioritize meaningful exposure, and preserve evidence of the response. As AI makes finding potential weaknesses faster, the commercial opportunity is to help manufacturers turn that growing volume of findings into defensible action.