Four platforms. One engineered stack.
We built each layer ourselves so we don't depend on anyone else's roadmap. Every product line runs on the same stack, deployed inside your perimeter.
OmniModel Forge
Multimodal training and fine-tuning for domain-specific models — vision, text, and structured data in one model that speaks your industry's language.
- —Domain fine-tuning on your data, inside your perimeter
- —Vision + text + structured joint training
- —Harness-level optimization for small-footprint deployment
Construct OS
Agent orchestration and workflow execution. Constructs watch systems, run multi-step work, self-heal on failure, and escalate to humans with full context.
- —Swarm execution across long-running workflows
- —Human-in-the-loop handoff with audit trail
- —Self-healing retries and anomaly detection
Neural Augmentation Layer
Tiered memory and associative recall for long-lived agents — they get better at your operation the longer they run.
- —Working, episodic, and semantic memory tiers
- —Visual fingerprinting for associative retrieval
- —Institutional knowledge that persists across sessions
Surfside Data Fabric
Knowledge graphs built from unstructured enterprise data — faxes, PDFs, scanned records, EHR exports — so every agent reasons over the same ground truth.
- —OCR + layout-aware document understanding
- —Entity resolution across EHR, LIMS, and billing systems
- —Query layer shared by every product line
NVIDIA-accelerated, behind your firewall.
The full stack ships on-premise or colocated — your hardware or ours. No data path crosses the perimeter. How we deploy →