Intelligent model routing that cuts LLM token costs and latency
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Pricing model
Contact for pricing
Paid
Pricing
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Pay-as-you-go with 1% service fee. Cheap Tasks: $0.000043–$0.000194 per reference request. Standard Tasks: $0.000225–$0.000838 per reference request. Reasoning Tasks: $0.00066–$0.0023 per reference request. Frontier Tasks: $0.0023–$0.0354 per reference request. Agentic Tasks: $0.0071–$0.0354 per ref
Key features
Real-time inference with 320ms latency for DreamZero 14B
40-50% lower tail latency than existing cloud providers
8+ concurrent robots on single H100
Support for frontier models including DreamZero and MolmoAct2
Bring your own model checkpoints
Fine-tuning for custom robot tasks
GPU kernel optimization
Real-Time Chunking network optimization
On-demand compute for experimentation and iteration
Automatic task classification with Jev decision model
Multi-provider model access (OpenRouter, Kie.ai, Replicate, fal.ai)
Lowest-price eligible model selection
Support for text, image, video and audio modalities
Budget limits and provider filtering
Transparent billing and cost tracking
Three question types: Choice, Score and Noul
Pay-as-you-go pricing with no subscription
What makes it different
Eliminates need for expensive local GPUs for robot AI deployment
Optimizes entire inference stack from model to network
Achieves lower latency than NVIDIA with half the silicon
Designed specifically for robotics teams' workflow
Inference feels local despite cloud deployment
Jev decision model automatically matches tasks to appropriate capability tiers instead of fixed frontier model routing
Reduces costs by up to 43.9% on illustrative workloads compared to fixed-model routing
Single API key for four different providers with unified billing
Works with multiple modalities and use cases like triage, classification and gating
Dreamscale Labs
Token Cut