Training Data Management
Upload, review, and curate JSONL training datasets
Design enterprise UIs with an AI-assisted drag-and-drop canvas. Describe what you need in plain language or design visually – PIES AI generates screens, layouts, and widget configurations that follow your organisation’s standards. 20+ professional widget types, real-time WYSIWYG editing, multi-screen support, and responsive design.
Describe your application in plain English. PIES AI understands your intent and our organisation's standards, then generates complete, production-quality code.
Unlimited applications across workspaces and teams
Choose the model that matches your infrastructure and performance requirements. Scale up as your needs grow – from a development server running Humble Pie to a production cluster running Slab. All models share the same API, the same training pipeline, and the same data privacy guarantees. But what makes the PIES LLM family truly powerful is that you train them on your own data.
It learns your organisation’s vocabulary, your preferred UI patterns, your data model conventions, your business logic structures. Over time, it generates applications that feel like they were built by someone who has worked at your company for years.
The more your team uses the platform, the better your private AI gets – automatically.
Upload, review, and curate JSONL training datasets
Configure epochs, batch size, learning rate, and LoRA rank
Track training progress in real time (0-100%)
List, activate, or roll back trained model versions
Test your trained model interactively before deploying it
Your prompts, your training data, your generated code, and your model weights never leave your infrastructure.
Data sovereignty applies when using PIES Private LLMs. Optional cloud providers (OpenAI, Anthropic) are subject to their respective policies.
All inference runs locally. Zero external API calls.
Stored on your file system. Never transmitted. Never shared.
Run on your hardware. No cloud dependency.
Fully functional without any internet connectivity.
Every training run timestamped. Adapters versioned and stored.
Delete training data and adapters at any time via admin portal.
PIES AI admin restricted to superusers only.
For organisations that want the broadest capability, PIES Studio also integrates with OpenAI GPT-4o and Anthropic Claude as supplementary options alongside your private PIES LLMs. Your intelligent router directs requests to the right model. Cloud providers are entirely optional - PIES Studio is fully functional with PIES LLMs alone.
JWT + RSA-2048 key management
Bcrypt hashing
AES-256-GCM
HashiCorp Vault integration
Role-based (Admin, Developer, Viewer)
SQL injection prevention, CORS, CSRF protection
Local inference, local training, no external calls
Fully air-gapped deployment support
See your application running in real time. PIES Studio spins up real Docker containers – not simulations – giving you an authentic preview as it will behave in production. Instant preview after generation, real-time build progress, hot reload, and automatic container lifecycle management.
Connect to your data wherever it lives. Native integration with MySQL and PostgreSQL. Zetaris data fabric for unified access across any JDBC source. Oracle and SQL Server planned. Real-time schema introspection, direct data model visualisation, and cross-database relationship support.
Every generated application includes full-stack scaffolding, database integration, typed API routes, Docker containerisation, and production-ready code you fully own and control. Extract, modify, and deploy independently – no runtime dependency on PIES Studio.
(Development / Evaluation)
4 cores
16 GB
50 GB free
Linux (Ubuntu 20.04+, Debian 11+, RHEL 8+) or any Docker-supported OS
Docker Engine 24.0+ with Compose v2
(Production)
8+ cores
32 GB+
100 GB+ SSD
Linux (enterprise distribution)
Docker Engine 24.0+ or Kubernetes 1.26+
Internal bridge network between services
Transform Your Requirements into Working Applications
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