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.
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.
