Nauticus Robotics Reports Q3 2025 Results with Deepwater Testing Milestone

Nov 21, 2025
Nauticus Robotics reported $2.0 million in revenue for the third quarter of 2025, highlighting successful integration of its ToolKITT software onto third-party remotely operated vehicles and record deepwater testing of its Aquanaut robot.

Nauticus Robotics reported third-quarter 2025 results, with $2.0 million in revenue compared to $0.4 million in the same period last year, announced in a press release. The company recorded a net loss of $6.6 million, narrowing from $7.5 million in the previous quarter. Cash and cash equivalents rose to $5.5 million as of September 30, 2025.

Operationally, Nauticus completed ultra-deepwater testing of its Aquanaut robot at a depth of 2,300 meters, marking its deepest test to date. A second Aquanaut unit began testing new features in Florida in preparation for the 2026 offshore season.

Following the acquisition of SeaTrepid earlier this year, Nauticus successfully integrated its ToolKITT autonomy software onto third-party remotely operated vehicles. The integration allows autonomous navigation and hovering, reducing manual operator workload. Offshore certification of ToolKITT was completed in October.

Customer engagement is increasing, with Nauticus planning demonstrations and workflow development sessions at its Florida facility. The company expects expanded ToolKITT software sales in 2026, supported by growing operator adoption and customer interest.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.