Gecko Robotics Navy Contract Ceiling Rises to $300m

The US Navy and the General Services Administration (GSA) have raised the ceiling on Gecko Robotics’ ship-inspection contract fourfold, to $300 million. In an announcement on 20 October 2026, the Pittsburgh company said the increase came “just six months after an initial $71m IDIQ contract award.”

A ceiling is the maximum value that can be ordered under the contract over its life, not money already paid to Gecko. Even so, the expansion is a strong signal of demand. It lets the Navy use Gecko’s wall-climbing robots, drones and AI software across far more ships, as it tries to cut the time vessels spend in maintenance.

In brief

The US Navy and GSA have raised the ceiling on Gecko Robotics’ IDIQ contract from $71 million to $300 million, Gecko says; a ceiling is a maximum, not money paid.
Gecko claims its technology can save the Navy up to $8 million in repair costs per ship and find structural problems up to 50 times faster than traditional methods.
At the centre of the expansion is Komodo, a Gecko system that scans through thick deck coatings to map corrosion and thickness.

From $71m to $300m in six months

Gecko first announced the contract on 17 March 2026. The Navy and GSA awarded it “a five-year IDIQ contract with a $71 million ceiling to deploy artificial intelligence and robotics to assess and maintain the health of military assets,” the company said then. Work began with 18 ships in the US Pacific Fleet, across destroyers, amphibious warships and littoral combat ships.

An IDIQ, or indefinite delivery, indefinite quantity contract, sets terms and a maximum value, with individual orders placed as needed. Gecko says customers in all services can use this government-wide vehicle. The new $300 million ceiling, it says, “will accommodate rapid robotic deployment across the Navy”. Gecko did not say how much has been ordered under the contract so far.

Contract stage (Gecko)	Ceiling
Initial award, March 2026	$71 million
Expanded ceiling, October 2026	$300 million

Source: Gecko Robotics.

What Gecko claims its robots deliver

According to Gecko, its technology “can save the U.S. Navy up to $8 million in repair costs per ship and return vessels to sea quicker by identifying structural issues up to 50 times faster than traditional methods—reducing inspections from months to days.” These are the company’s own figures, and its release does not say how they were measured.

Central to the expansion is Komodo, a Gecko system that “scans through thick, non-skid deck coatings without stripping or damaging them”. It produces a full-deck heatmap of corrosion and material thickness, so repair teams can pinpoint damage and plan work before a ship enters drydock. Gecko says that was previously possible only after maintenance had begun.

More broadly, Gecko says its robots, drones and fixed sensors collect data on ships and submarines, including hulls, decks and welds, with AI used to model current and future structural issues.

Readiness pressure

Gecko links the expansion to the Navy’s push on fleet readiness, noting that “every additional day a warship spends in maintenance reduces its ability to deter adversaries”. The Chief of Naval Operations has set a target of 80% fleet readiness, the company says, and it expects to play “a crucial role” in helping to meet it.

“The conversation around AI and robotics in defense is no longer about experimental technology. It’s about delivering measurable and impactful returns,” said Jake Loosararian, Gecko’s co-founder and chief executive. “With savings of millions of dollars per ship, months of inspections turning into days and warships returning to sea faster, the U.S. Navy is demonstrating to the world how to deploy technology at scale.”

Our read

Quadrupling a ceiling after six months suggests the Navy wants room to roll Gecko’s inspections out quickly, but it does not guarantee $300 million of work. The savings and speed figures are Gecko’s own, so the useful test will be whether the Navy publishes readiness or cost data showing the effect. The figures to watch are actual task orders placed under the contract, which will show how far the expansion turns into deployments.