Encord alternatives

Training data, not algorithms, is the problem Encord set out to solve when it was founded in London in 2020. Now backed by $110 million in cumulative funding, including a $60 million Series C closed in February 2026, the company sells data infrastructure that helps teams manage, curate and annotate the material used to train AI models, with physical AI at the centre of its pitch and customers spanning robotics, autonomous vehicles, healthcare and enterprise AI. Suppliers approaching the same buyers from different directions include the following. Fernride attacks deployment rather than data: its Munich-built platform puts electric trucks to work autonomously in container terminals, factories and distribution centres. Forterra, whose roots go back to 2002 as Robotic Research, builds self-driving systems for military and heavy industrial vehicles that operate where GPS cannot be trusted. Generalist AI skips the data-pipeline question entirely and sells the model itself, training embodied foundation models that adapt to new robot tasks with very little demonstration data. Gravis Robotics, an ETH Zurich spin-out founded in 2022, retrofits autonomy onto construction machines contractors already own. Organisations whose models are starved of well-organised data will recognise Encord's problem statement; those further along, choosing vehicles, sites or machines to automate, are likelier to start with one of the four alternatives.

Alternatives to Encord

Fernride

Fernride, styled FERNRIDE, provides a flexible ground autonomy platform for autonomous, electric trucking in logistics, with one platform serving multiple applications.

Forterra

Forterra is a US autonomous mission systems company — formerly Robotic Research — that builds self-driving technology for defence and industrial ground vehicles operating in contested, off-road and GPS-denied environments.

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.

Gravis Robotics

Gravis Robotics is a Swiss autonomous earthmoving company, founded as a spin-out from ETH Zurich, that retrofits existing construction machines instead of asking contractors to replace their fleets.

Full profile, with every fact and its source: Encord. Profile facts last verified 10 November 2026.