Intelligence Platform

A decentralized world model for every sensor, device, and signal

A constellation of domain-expert AI models — vision, audio, video, timeseries, text — orchestrated through an intelligent inference router. No monolith. No retraining. Just fast identification, continuous learning, and structured context.

Explore API View Models
The inference router is the brain

Classify incoming data. Route to the right expert model. Collect structured context. Enrich from memory. Escalate to an LLM when reasoning is needed. Store everything. The system gets smarter with every request.

Protocol Layer
gRPC / REST / MQTT / WebSocket
Any device, any protocol, cloud or edge
Core
Inference Router
Classify → Route → Orchestrate → Store
Vision
YOLO26
Audio
Parakeet
TimeSeries
Chronos
Video
Tarsier2
Reasoning
Gemini
Memory + Storage
Naturecode Data
VictoriaMetrics / Qdrant / Dgraph / Postgres / Valkey / Kafka / NATS
Vision
YOLO26-Nano
1.7ms detection. End-to-end, no NMS. Objects, segmentation, pose.
Vision
RF-DETR
SOTA accuracy on COCO. DINOv2 backbone. 100 FPS on T4.
Audio
Parakeet TDT v3
50x faster than Whisper. 25 languages. Punctuation + timestamps.
TimeSeries
Chronos-Bolt
250x faster than v1. Zero-shot forecasting + anomaly detection.
Video
Tarsier2-7B
Long-form video understanding. Outperforms GPT-4o on video.
Few-Shot
SigLIP + AligNet
Human-aligned embeddings. Learn new categories from 1-5 examples.
Reasoning
Qwen3-8B
Dual-mode thinking. 5GB VRAM. Best open-source at size.
Multimodal
Gemma 3n
Text + image + audio + video. Mobile-first. Edge-ready.
Unified data layer + model memory

Every database type the platform needs. Dual purpose: persistent storage for device and sensor data, and memory for Earth's models — embeddings, knowledge graphs, historical patterns, state.

TimeSeries
VictoriaMetrics
Vector
Qdrant
Graph
Dgraph
SQL
PostgreSQL
Key-Value
Valkey
Document
FerretDB
Streaming
Kafka
Messaging
NATS