Agent-native AI infrastructure for building, running and scaling AI from models to agents
Context optimization for production AI
Stage
Not given
MVP
Founded
Not given
Not given
Based in
FR
GB
Pricing model
Freemium
Freemium
Pricing
Token Factory: per-token pricing from $0.010/M tokens (BGE-M3) to $0.700/M tokens (GLM 5.2) for input, with output tokens at higher rates; image generation from $0.0005 per image (FLUX.1); speech-to-text from $0.0002/min; text-to-speech at $0.99/M characters; Dedicated GPU: H100 from $2.10/hr, H200
Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Key features
Token Factory: serverless inference with 30+ open models through single OpenAI-compatible key
AgentOS: governed agent execution with tools, approvals and audit trails
OpenAI-compatible API for text, vision, image, video and audio models
Dedicated Endpoints with reserved GPU capacity and autoscaling
AI Factory for VPC, on-premise and air-gapped private cloud deployment
Fine-tuning with managed runs supporting SFT, DPO and GRPO
Multi-model inference with intelligent routing and model switching
Up to 99.9% uptime SLA with GDPR and SOC 2 Type II compliance
Support for multiple runtimes and hardware accelerators including NVIDIA and AMD
Blueprints library with ready-to-run templates for inference and fine-tuning
Removes duplicate context and off-topic results
Works with any LLM provider
API and SDK integrations
Quality guard checks if kept context is sufficient
Local cleanup of tool output and JSON fields
Fallback to original context on service failure
Per-agent budgets and token limits
Savings report showing cost avoided
What makes it different
Single OpenAI-compatible API key across 30+ models with no ecosystem lock-in
Transparent pricing at credible market rates with automatic repricing as market moves
Unified path from serverless inference to dedicated capacity to private cloud on same platform
Multi-architecture fleet using NVIDIA and AMD for high utilization and lower cost per token
Agent-native platform with governed execution, tool calls and audit trails for production workloads
Reduces input tokens to LLMs by 56–71% on average
Optimizes in milliseconds without slowing requests