Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
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
Not given
IN
Pricing model
Freemium
Free trial
Pricing
Free: $0 (1 training run per month, 1 model deployment, 1 member); Starter: $49/month (5 training runs per month, 5 model deployments, 1 member); Pro: $199/month (unlimited training runs, 1,000 model deployments, 10 included members, $30/month for each extra seat); Enterprise: custom pricing. Free i
Free during beta
Key features
Train models with SFT, DPO, or RL using LoRA or QLoRA
Monitor training with real-time loss, time and cost tracking
Evaluate models by comparing base and tuned performance
Serve models as OpenAI-compatible API or wake-on-demand
Support for vision models including Gemma 4 and Qwen3.8
DPO preference learning from paired answers
Run budget-controlled experiments with hour and price limits
Download adapters as standard LoRA files or publish to Hugging Face
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
No training scripts required; workflow runs in console, CLI or via AI agent
GPU costs billed by your provider with zero markup from Tensorant
Data stays in your own storage; Tensorant keeps only workflow records
Free plan covers complete workflow on one model from import to API
Models are downloadable and portable to other platforms
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