Agent-native AI infrastructure for building, running and scaling AI from models to agents
Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
Stage
Not given
MVP
Founded
Not given
Not given
Based in
FR
IN
Pricing model
Freemium
Free trial
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 during beta
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
AI API cost intelligence across 13+ providers
Burn forecasting under different growth scenarios
Guardrails that alert, slow down or block features when budgets are exceeded
Agent usage monitoring
Per-feature cost breakdown
Cost modeling under stress conditions
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
Forecasting-first approach with probabilistic cost modeling, not just historical tracking
Guardrails that automatically enforce budget controls before costs spiral
Privacy-preserving: stores only usage metrics, never prompts or user data
Probabilistic risk modeling designed for AI-native startups
Fail-open SDK so AI calls continue even if AtlasBurn is unavailable
FlexAI
AtlasBurn