Run your product's AI features on machines you already own
Agent-native AI infrastructure for building, running and scaling AI from models to agents
Stage
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Founded
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Based in
IL
FR
Pricing model
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Freemium
Pricing
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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
Key features
OpenAI-compatible API
Zero data retention
Automatic idle detection and workload routing
MDM-based agent installation
Cloud fallback with transparent logging
Support for Macs, Windows and Linux
Memory and speed estimation for models
Optional on-premises deployment
Data routing controls for sensitive workloads
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
What makes it different
Costs stay flat as you grow because you pay for electricity instead of per-token cloud fees
Only uses idle time, stepping back immediately when users return
Code stays the same - just change the API base URL and key
Works with hardware you already own without buying new equipment
No data storage of prompts or responses
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
kibbu
FlexAI