Agent-native AI infrastructure for building, running and scaling AI from models to agents
Everything has an algorithm
Stage
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Founded
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Based in
FR
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Pricing model
Freemium
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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
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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
Constant-state attention: models serve any context length from the same memory per request
HCGM: models run from disk storage instead of memory
M-Rail: context processed by a model can be reused instantly in future requests
CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
Organ grafting: transfer capabilities between models without training
Personal instruction set (ISA) compiled on device from phone signals
Population ISA: compile laws from many people without personal records
Digital twins of customers, fleets, cities or markets
Results identical across all machines and architectures
Computation cost follows novelty not data size
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
Constant memory cost regardless of context length or data size
Exact reuse: every computed result is kept and reused instantly
Portable execution with bit-identical results across all hardware
Models run from storage without retraining or fitting in memory
Privacy-preserving: raw data never leaves the device
FlexAI
Wirkung