Ritivel

Founded by Pavan Kalyan in 2026

Test and train artificial intelligence agents on complex creative tasks

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use TensorTest to evaluate and train autonomous AI agents on long-horizon, multimodal creative jobs like professional video editing. It provides private evaluations for unreleased model checkpoints, benchmarking them against real-world tasks using raw footage, audio, and briefs. The system verifies output quality through automated technical checks and evaluation rubrics calibrated by professional editors. Teams can also access reinforcement learning environments built for sandboxes, along with expert trajectory data and preference pairs to fine-tune generative models.

What Ritivel does

Run private benchmark evaluations on unreleased AI model checkpointsGenerate failure and error analysis reports for agent runsIntegrate reinforcement learning reward environments into agent sandboxesVerify video output compliance against project briefs and technical guidelinesCalibrate agent scorecards using human editor judgment rubricsTrain creative AI agents using expert demonstration trajectoriesCommission custom creative datasets with cleared training rightsPrivate evaluation runs for unreleased model checkpointsDetailed failure reports identifying where agents break downSandboxed reinforcement learning environments with reward signalsTimelineBench dataset containing long-horizon video editing tasksAutomated checks on media delivery, content alignment, and brief adherenceQuality evaluation metrics calibrated against blind reviews by professional editorsCustom training datasets with full commercial and training rightsExpert human demonstration trajectories and preference pairs for fine-tuning