Verifiable data
to hillclimb frontier AI
Backed By
We build infrastructure to reconstruct real-world workflows into verifiable environments, and develop scalable methods to qualify their realism, grade their quality, and validate that they improve frontier models.
Jigsaw is an applied research lab building infrastructure to scale the creation of long-horizon environments for frontier labs and enterprises.
Jigsaw is an applied research lab building infrastructure to scale the creation of long-horizon environments for frontier labs and enterprises.
our products
The Platform for Scalable RL Environments
Domain experts contribute directly to model intelligence, no engineers in the loop. Specialized RL environments tailored to your enterprise.
Darwin
The Platform for Scalable RL Environments
Domain experts contribute directly to model intelligence, no engineers in the loop. Specialized RL environments tailored to your enterprise.
Darwin
The Platform for Scalable RL Environments
Domain experts contribute directly to model intelligence, no engineers in the loop. Specialized RL environments tailored to your enterprise.
Darwin
The Foundation Model for World Generation
Generate high-fidelity environments from internal workflows and domain knowledge. Realistic worlds, tools, and interfaces for training and evaluation.
Pascal
The Foundation Model for World Generation
Generate high-fidelity environments from internal workflows and domain knowledge. Realistic worlds, tools, and interfaces for training and evaluation.
Pascal
The Foundation Model for World Generation
Generate high-fidelity environments from internal workflows and domain knowledge. Realistic worlds, tools, and interfaces for training and evaluation.
Pascal
Models rise to the fidelity of their data.
Model progress is moving into the long-horizon work it's increasingly deployed in, bound by the realism of the data behind it.
We reconstruct real workflows into environments models are trained and measured inside, graded deterministically and traceable end to end. We build the ground truth they climb.
We reconstruct real workflows into environments models are trained and measured inside, graded deterministically and traceable end to end. We build the ground truth they climb.
Models rise to the fidelity of their data.
Model progress is moving into the long-horizon work it's increasingly deployed in, bound by the realism of the data behind it.
We reconstruct real workflows into environments models are trained and measured inside, graded deterministically and traceable end to end. We build the ground truth they climb.
Scaling worlds to
unlock real-world intelligence.
© 2026 jigsaw
Scaling worlds to
unlock real-world intelligence.
© 2026 jigsaw
Scaling worlds to
unlock real-world intelligence.
© 2026 jigsaw