One API for every AI model with transparent per-request pricing
Stage
Startup
Not given
Founded
2024
Not given
Based in
US
IN
Pricing model
Paid
Freemium
Pricing
Pay-as-you-go pricing for serverless inference charged per token and for on-demand deployments charged per GPU usage time. New users receive free credits. Text models range from $0.05 to $1.5 per 1M tokens (input and output), including Llama-3.2-1B-Instruct at $0.06/1M tokens, Meta-Llama-3.1-8B-Inst
Not given
Key features
Text generation with multiple LLM models including Llama, Qwen, and DeepSeek
Embedding and reranking models for RAG applications
Text-to-image and text-to-video generation
Voice generation with ASR/TTS models
Single line of code integration
Agent application with ultra-low latency
Chat2DB application with real-time responsiveness
Inference acceleration capability
Competitive pricing with reduced costs
Capability-safe fallback routing
Sticky cache routing for prompt caching
Per-request trust receipts
Adaptive models with staged rollouts
Automatic provider failover
Spend caps and rate limiting governance
Outcome tracking and performance monitoring
OpenAI and Anthropic SDK compatibility
Native provider batch jobs support
OpenTelemetry export
What makes it different
Out-of-the-box inference acceleration capability
Fast model updates and comprehensive model selection
Single line of code integration with no deployment complexity
Ultra-low latency for responsive applications
Free credits for new users to get started
Unified API interface across all major AI model providers
Transparent per-request billing with provider rates plus one routing fee
Separated model and provider decisions prevent cascading failures
Intelligent adaptive models that automatically upgrade based on your outcomes
ML Junction