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Forterra alternatives

Longevity is part of Forterra's pitch: the Maryland company has been building self-driving technology since 2002, when it traded as Robotic Research, and rebranded under its current name in 2024. Its autonomous mission systems are aimed at defence and heavy industrial vehicles that work off-road, in contested areas and where GPS is unavailable, and investors have backed that specialisation with $541 million across three rounds, most recently a $238 million Series C in November 2025. Suppliers solving adjacent autonomy problems include the following. Generalist AI, founded only in 2024, works at the model layer, training embodied foundation models intended to transfer across many robot types and end effectors. Gravis Robotics takes autonomy into quarries and construction sites, retrofitting existing earthmoving fleets from its Zurich base for contractors, rental firms and equipment makers. Helm.ai stays on paved roads, supplying foundation models and simulation tools that carry carmakers from driver assistance toward Level 4 driving. Horizon Robotics pairs its smart-driving software with its own processing hardware for passenger vehicles, a combination designed in Beijing and sold from a Hong Kong listing. Programmes that need vehicles to keep moving when satellite navigation and communications are contested point to Forterra; teams automating construction plant, passenger cars or general-purpose robots will find their scenario among the four alternatives.

Alternatives to Forterra

Generalist AI

Generalist AI is a US frontier AI research and product company building general intelligence for the physical world, under the banner 'We train robots that work.' Its GEN family of embodied foundation models is pretrained on large-scale physical experience so robots can learn and adapt in the real world: the company states that GEN-1.5 can in-context learn a new task from as little as 12 seconds of demonstration data, or adapt with one to ten gradient steps on minutes of data, and that the earlier GEN-1 now supports a broad range of end effectors, letting a single model transfer across very different robot hands.