TensorTest

Founded by Pavan Kalyan Tankala in 2025

Evaluate and train autonomous artificial intelligence agents on complex video editing jobs

Pricing model

Paid

Rating

★ People love it

Time to value

Requires Expertise

You can use TensorTest to evaluate and train multimodal agents on complex, real-world creative tasks. It provides private evaluation benchmarks, reinforcement learning environments, and expert training data starting with video editing. The service tests whether autonomous models can complete entire editing workflows from raw footage to finished cuts according to strict client briefs. TensorTest compares agent outputs against human editor rubrics and rigorous delivery checks, generating private failure reports that assist research labs in fixing model weaknesses before public release.

What TensorTest does

Run private evaluation benchmarks on unreleased model checkpointsDeploy reinforcement learning environments tailored for creative sandboxesInspect failure reports from long-horizon agent runsCollect expert human editing trajectories and preference dataScore model generated video cuts against professional editor standardsExpose custom programmatic checks as rewards for agent trainingEvaluates AI agents on complete video editing jobs from raw footage to final cutsExecutes private evaluation runs on unreleased model checkpointsPackages creative tasks into reinforcement learning sandboxes with custom reward signalsValidates agent outputs against judgments from professional human editorsDelivers detailed private failure reports identifying exact model breakdownsSupplies licensed footage, editor trajectories, and human preference pairs for training