Intelligent model routing that cuts LLM token costs and latency
Room-temperature photonic quantum computers without cryogenics
Stage
Not given
Startup
Founded
Not given
2026
Based in
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IN
Pricing model
Paid
Not given
Pricing
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
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Key features
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
Room-temperature operation at 20-40 Celsius
Zero cryogenics required
Easy portable rack size
Inbuilt fault tolerance in optical wavefield
Continuous-variable quantum optics
Photonic quantum information processing
What makes it different
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
No cryogenic cooling infrastructure needed
Operates at ambient room temperature without massive cooling equipment
Fault tolerance built into hardware without massive qubit overhead
Token Cut
OJANVU Quantum Labs