Intelligent model routing that cuts LLM token costs and latency
Self-hosted AI infrastructure with measurable returns
Stage
Not given
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Founded
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Based in
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Pricing model
Paid
Contact for pricing
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
Model provider support through a single common gateway
Usage attribution to teams, tasks, and agents
Agent workflows in Scala for repositories and code
Apache-2.0 open-source core with enterprise deployment option
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
Full visibility into AI costs attributed to specific teams, tasks and agents
Self-hosted deployment keeps data and models under company control
Model agnostic with support for multiple providers through one gateway
Structured four-step implementation path with clear ownership and baselines
Token Cut
YABANIN