Andrenam Raises $18M Series A for AI-Powered Undersea Awareness

Andrenam has raised an $18M Series A led by Upfront Ventures, with Valor Equity Partners, Also Capital, and First Round Capital participating. The Los Angeles-based defense technology company will use the capital to deploy more PEARL passive acoustic buoys, expand its OBSIDIAN software platform, and hire across engineering and field operations.

The funding matters because maritime awareness is becoming a distributed sensing and software challenge. Andrenam is building a managed network that listens beneath the surface, converts acoustic data into real-time detections and alerts, and gives defense, homeland security, infrastructure, port, and commercial operators persistent coverage without requiring them to own and staff a traditional sonar stack.

What Happened

Andrenam announced the Series A on July 23, 2026. Upfront Ventures led the financing, while Valor Equity Partners, Also Capital, and returning investor First Round Capital participated. The company says the financing brings its total funding to $30M.

That figure follows a publicly announced $10M seed round led by First Round Capital in 2025, with participation from Also Capital, Long Journey, 201 Ventures, Banter Capital, Homebrew, Wavefunction, and the Colorado School of Mines Venture Fund. The two announced rounds total $28M, and Andrenam has not publicly explained the remaining capital behind its stated $30M total. No valuation was disclosed.

The new capital is earmarked for physical deployment and operational expansion rather than a cosmetic product refresh. Andrenam plans to deploy additional PEARL systems, accelerate OBSIDIAN development, and expand the engineering and field operations teams needed to support real-world missions.

How PEARL and OBSIDIAN Work Together

PEARL is a distributed networked buoy built for persistent passive acoustic monitoring. Each unit uses a suspended sonar array to detect maritime activity, while satellite connectivity transfers data from deployed systems to Andrenam's processing environment. The company describes PEARL as rapidly deployable, self-powered, and designed for extended operations with limited maintenance.

OBSIDIAN serves as the interpretation layer. It combines digital signal processing, noise filtering, machine learning, and an acoustic target library to detect, track, classify, and alert on surface and subsurface activity. Its modular architecture is designed to integrate with command-and-control systems and common operating pictures, allowing intelligence to flow into the tools operators already use.

The combination defines the business model. Hardware captures the raw acoustic environment, software transforms it into actionable intelligence, and Andrenam delivers the capability through a Contractor Owned, Contractor Operated service. Customers purchase persistent awareness and operational outcomes rather than inheriting a complex sensor network and the staffing burden that accompanies it.

Why This Matters

Underwater monitoring has traditionally depended on expensive platforms, limited geographic coverage, and specialists trained to interpret complex acoustic data. Those constraints become more significant as unmanned maritime systems proliferate, ports and subsea infrastructure grow in strategic importance, and security teams require awareness across larger operating areas for longer periods.

Andrenam's thesis is that the sensing layer can be distributed while the interpretation layer becomes increasingly software-defined. That transition resembles what lower-cost autonomy accomplished in the air, but the ocean is far less forgiving. Saltwater degrades hardware, underwater communications remain difficult, acoustic environments are noisy, and field operations have a way of exposing weaknesses that never appeared in controlled testing.

The company has already moved beyond theory. Andrenam reports building more than 35 PEARL units across three hardware generations and logging more than 4,500 in-water hours. It also says PEARL and OBSIDIAN have been used during operationally realistic maritime exercises, including Solid Curtain 2026 and Lanternfish alongside the U.S. Navy's Unmanned Undersea Vehicle Group 1.

Those are company-reported deployment metrics rather than independent validation of detection accuracy or commercial scale. Andrenam has not disclosed revenue, customer counts, model performance benchmarks, contract values, or a valuation. Even so, repeatedly deploying hardware into operational environments provides stronger evidence than a polished presentation describing what the technology might eventually achieve.

The Founder and Investor Logic

Co-Founder and CEO Matej Cernosek and Co-Founder and CTO Alex Chu are both Colorado School of Mines alumni. Cernosek previously worked as an engineer at SpaceX, while Chu brings robotics and software experience, including work at Qualia. Their leadership reflects the product challenge itself: building hardware that performs reliably in harsh environments while developing software capable of turning acoustic data into operational intelligence.

The investor group reflects that full-stack challenge. Upfront Ventures led a round that requires confidence in hard-tech manufacturing, defense-market execution, software development, and a managed-service go-to-market model. Valor Equity Partners contributes growth-stage experience, while Also Capital and First Round Capital provide continuity from Andrenam's earlier financing history.

The managed-service approach may prove to be the sharper commercial decision. Enterprise and government buyers do not always want another system that demands dedicated crews, maintenance programs, training pipelines, and extensive integration work before producing value. Andrenam is betting that operating the sensing network itself shortens the path from deployed hardware to usable intelligence.

What the Series A Changes

The Series A gives Andrenam the resources to increase the density and reach of its sensing network while continuing to improve the software built on top of it. More deployed systems can generate a broader operational data set to support future product improvements, but the company has not published independent benchmarks for detection accuracy or false positives. Progress therefore should be measured through deployment reliability, operator adoption, repeat usage, and disclosed program outcomes rather than funding alone.

The hiring plan is equally important. Andrenam's careers page lists technical, field, and government-program positions, underscoring that scaling the business is not purely a software exercise. It requires engineers capable of building systems for harsh environments, operators who can deploy and maintain the network, and commercial teams that understand defense and critical infrastructure procurement.

For founders, the broader lesson is architectural rather than nautical. Andrenam separated sensing from interpretation, distributed the collection layer, and wrapped the entire system in an outcome-oriented service. That approach allows the company to sell persistent awareness rather than asking customers to become experts in every component underneath it.

What This Signals

Andrenam's Series A is another sign that defense technology investment is moving toward infrastructure that makes autonomy more effective. Autonomous vehicles may generate the attention, but distributed sensing, communications, classification, and command integration determine whether operators can understand a contested environment well enough to act.

The opportunity extends well beyond military missions. Ports, offshore energy, subsea cables, homeland security, and commercial maritime operators all benefit from better awareness beneath the surface. Andrenam still has to demonstrate repeatable performance and procurement at scale, but the Series A gives the company greater capacity to test whether undersea intelligence can become a durable managed network rather than another isolated piece of ocean hardware.

That is the central investment thesis behind the financing. Upfront Ventures and the participating investors are backing a company that aims to make underwater data operational, persistent, and easier to consume. If Andrenam can scale its physical network while maintaining software quality and field reliability, it will be building more than buoys. It will be building an information layer for a domain that remains strategically important and exceptionally difficult to observe.