# tracebloc

> Federated AI platform to test, benchmark, and train AI models on data that never leaves your infrastructure — vendor bake-offs, competitions, and multi-organization collaboration with EU AI Act & GDPR compliance.

tracebloc is a federated learning and AI model evaluation platform. Organizations deploy it on their own on-premise or air-gapped infrastructure so external vendors, researchers, and partners can train and benchmark models where the data resides — raw data never leaves the organization. It combines federated training, vendor evaluation, leaderboards, and reproducible benchmarking in a single platform.

Category: federated learning platform, privacy-preserving machine learning, on-premise AI, AI vendor evaluation, secure model benchmarking, Kaggle alternative for private data.

Key capabilities include:

- Secure AI model benchmarking without data exposure
- Vendor model evaluation and bake-offs
- Privacy-preserving training and fine-tuning
- Air-gapped AI infrastructure deployment
- Multi-party federated learning across organizations
- Complete audit trail and model governance

The platform serves industries including manufacturing, automotive, aerospace, healthcare, insurance, financial services, and public sector organizations.

## Product & Documentation

- [Platform overview](https://tracebloc.io/platform-overview): Architecture, capabilities, and deployment options for the federated learning platform
- [Documentation](https://docs.tracebloc.io): Full product documentation and technical reference
- [Explore AI use cases](https://ai.tracebloc.io/explore): Browse AI competitions, use cases, and industry templates for computer vision, NLP, document classification, and forecasting

## Guides & Blog

- [What is federated learning?](https://tracebloc.io/blog/what-is-federated-learning): Introduction to the model-to-data approach and how federated learning works
- [Federated learning applications](https://tracebloc.io/blog/federated-learning-applications): Real-world federated learning use cases
- [The tracebloc federated learning platform](https://tracebloc.io/blog/tracebloc-federated-learning-platform): How the platform works end to end
- [LLM benchmarking guide](https://tracebloc.io/blog/llm-benchmarking): How to benchmark and evaluate large language models
- [Evaluating AI vendors](https://tracebloc.io/blog/ai-vendor-evaluation-you-decided-to-buy-ai-nowwhat): A framework for evaluating AI vendors on private data
- [Federated learning in healthcare](https://tracebloc.io/blog/federated-learning-in-healthcare): Multi-hospital collaboration without moving patient data
- [Drug discovery and the data access problem](https://tracebloc.io/blog/drug-discovery-data-the-access-problem-no-one-fixes): Collaborative AI for life sciences
- [All articles](https://tracebloc.io/blog): Insights on secure evaluation, model governance, and industry best practices

## Key Capabilities

- **Model Evaluation**: Test and compare AI models from multiple vendors in a secure environment
- **Data Privacy**: Keep your proprietary data on-premise while evaluating external AI models
- **Federated Learning**: Train models collaboratively across multiple organizations without sharing raw data
- **Experiment Tracking**: Monitor model performance, metrics, and results with comprehensive logging
- **Dataset Management**: Organize and manage training datasets with version control
- **Jupyter Integration**: Interactive notebook environment for data science workflows and model development
- **Audit & Compliance**: Full audit trail for model governance, EU AI Act, and GDPR compliance

## Industries & Applications

- **Manufacturing**: Quality control, predictive maintenance, defect detection
- **Automotive**: Computer vision for autonomous systems, parts classification
- **Aerospace**: Component analysis, safety inspections, maintenance prediction
- **Healthcare**: Medical imaging analysis, diagnostic support (including X-ray analysis)
- **Financial Services**: Fraud detection, risk assessment, document processing
- **Public Sector**: Secure AI deployment for government and regulated industries

## Optional

- [My use cases](https://ai.tracebloc.io/my-use-cases): Manage AI projects, experiments, and training workflows (requires an account)
- [Metadata management](https://ai.tracebloc.io/metadata): Data schemas and annotations tool
- [Careers](https://tracebloc.io/career): Open positions at tracebloc