LLMTUNE provides an end-to-end AI infrastructure platform that unifies fine-tuning, inference, agent tooling, and decentralized GPU compute behind a single API. The platform emphasizes confidential execution through GPU TEEs with hardware attestation, enabling privacy-preserving AI workloads without data exposure. It offers a CLI, studio interfaces, and an agent hub for building and deploying custom AI assistants.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations increasingly rely on AI for operations and decision-making, but existing platforms force trade-offs between customization, privacy, and cost. Businesses often cannot send sensitive data to third-party providers due to compliance or security constraints, while fine-tuning and inference remain complex and dependent on centralized infrastructure.
Solution
LLMTUNE provides an end-to-end AI infrastructure platform that unifies fine-tuning, inference, agent tooling, and decentralized GPU compute behind a single API. The platform supports confidential execution inside GPU Trusted Execution Environments (TEEs), with sealed memory attestation verified before every request, ensuring zero retention and that models only see ciphertext. Users can build custom assistants through guided training control centers, run inference with production APIs, and deploy agent workflows from a terminal or web interface. The platform also connects to a decentralized compute network, allowing GPU owners to contribute resources while customers access distributed inference capacity.
Target Audience
Primary customers are engineering teams, data scientists, and AI builders at companies that need customizable, privacy-preserving AI infrastructure for production workloads, as well as GPU owners seeking to monetize idle compute capacity.
Features
- Fine-tune Studio: guided training control center for building custom assistants end-to-end
- Inference Studio: run inference, compare models in a Playground, and deploy with production APIs
- LLMTune CLI: interactive REPL with skills and streaming agent workflows from the terminal
- Agent Hub: composable catalog of agents, skills, and commands for reusable AI building blocks
- Confidential compute via GPU TEEs with hardware attestation and zero data retention
- Decentralized GPU compute network for distributed inference and earning opportunities
- SOC 2 Type II, ISO 27001, GDPR, and HIPAA compliance through trusted infrastructure partners