| What it does | Agent-native AI infrastructure for building, running and scaling AI from models to agents
| AI systems engineering, language model research and cost optimization
|
|---|
| Stage | Not given
| Established
|
|---|
| Founded | Not given
| 2021
|
|---|
| Based in | FR
| IN
|
|---|
| Pricing model | Freemium
| Not given
|
|---|
| 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 tools: LLM Bill Analyzer, API pricing calculator, price alerts. LLM Cost Report: USD 149 (2 working days); Founding clients: USD 750. LLM Cost & Reliability Audit: USD 1,500 (5-7 working days). Sample report available free by email.
|
|---|
| 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
| - LLM Bill Analyzer for usage export analysis
- API pricing calculator for OpenAI, Anthropic and Google models
- Multi-agent workflow automation on n8n and Make
- Prompt hardening against injection and token waste
- Private and on-premise LLM deployment
- Custom small and large language model development
- LLM Cost & Reliability Audit with log analysis
- Price change alerts for OpenAI, Anthropic and Google
|
|---|
| 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
| - Client retains ownership of all code, prompts, workflows and fine-tuned model weights
- Private and on-premise deployment option protecting enterprise data
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 42 ▲ +1 (up) since last check | 4 ● no change since last check |
| Trust Flow (Majestic) | 10 | 0 |
| Citation Flow (Majestic) | 35 | 0 |
| Referring domains (Majestic) | 272 | 2 |