Products
From object detection and multimodal reasoning to depth estimation and MLOps — each capability is designed to ship into real environments, not just notebooks.
Capabilities
The same models and tooling we use to deliver customer outcomes, available as building blocks.
Unified detection for open-set, closed-set, and rare categories — from common classes to custom long-tail objects.
Ask natural-language questions about what your cameras see. Fine-tuned VLMs that ground answers in the pixels.
Monocular and multi-view depth estimation for scene reconstruction, pose recovery, and metric measurement from video.
Semantic and literal search across thousands of hours of footage, with frame-accurate retrieval and clip extraction.
Faces, license plates, and screens obfuscated in-stream — before footage is stored, analyzed, or shared.
The infrastructure that keeps detectors and VLMs honest — data curation, fine-tuning, evaluation, and continuous deployment.
How we think about it
Research-grade accuracy is table stakes. The hard part is running it in a warehouse with a flaky uplink, on a roadside camera through rain, or across a thousand cameras at once — without paging the on-call engineer every hour.
Every Ventral AI capability is wrapped in the infrastructure that lets it run unattended: batching, streaming, back-pressure, observability, rollback, and data contracts on the way in.
Ready when you are
Pick a capability, or bring us a workflow. We'll tell you what's ready today and what needs fine-tuning.
