Benchmarks Deep Dive — Coming Pre-Launch

This piece is in production and coming pre-launch.

We’re putting the final detail on our benchmark suite — the numbers that back up how Primate Vision compares to YOLO, SAM-class detectors, and the general-purpose VLMs that have dominated computer-vision posts this year.

When we publish, this page will cover:

• The rig. Hardware, model checkpoints, and seed values we ran on, so every number is reproducible.
• The datasets. Real footage from the use cases we care about — security cameras, drones, retail, robotics — plus the standard public benchmarks for cross-checking.
• The metrics. Where we win, where we don’t, and the specific scene categories where JEPA-based prediction beats reconstruction-based models.
• The cost story. Per-frame latency, GPU footprint, and what it actually takes to run a Primate Vision endpoint at production scale.

We’d rather publish numbers we stand behind than rush a marketing post. If you’re evaluating Primate Vision for a specific use case and you’d like an early look at the benchmark data for your workload, talk to us.