AlphaDeep
Agentic Serverless AI Model Development Platform
Build and deploy custom SOTA fine-tuned models on Google TPUs with zero cold-start latency.
The Future is Specialized
We believe the next era of AI isn't about bigger models—it's about your models. AlphaDeep provides the infrastructure to own your intelligence, enabling fine-tuning in minutes, not days.
Specialized > General
Generic LLMs are jacks of all trades, masters of none. We enable you to fine-tune compact, specialized models that outperform giants on your specific domain tasks.
TPU Economics
We serve thousands of adapters on a single TPU node. Our JAX-native kernel delivers 10x lower inference costs and zero-latency scaling compared to GPU clusters.
The Active Loop
Models aren't static. Our platform monitors for data drift in real-time, flagging low-confidence predictions for human labeling to retrain and improve accuracy automatically.
Build SOTA Models through an Agentic Interface.
AlphaDeep features an intelligent model-building agent that guides you from data preparation to deployment. Build world-class AI through natural language and expert guidance.
- Agentic Dataset Analysis & Cleaning
- Automated Hyperparameter Optimization
- One-click TPU-optimized Deployment
The Engine
Built from the ground up for the TPU ecosystem.
State-of-the-Art JAX Kernel
Built on vLLM, tpu-inference and Flax for maximum TPU utilization. Zero overhead for high-performance inference.
Access SOTA Models
Instant access to state-of-the-art multi-modal open weights. Always up to date. Easy to use.
Multi-Modal Fine-Tuning
Fine-tune Image, Video, Audio, Text, and Tabular models on a single chip.
Private Cloud Option
Deploy into your own VPC for complete data sovereignty. Weights and data never leaves your environment.
From Raw Data to Production
A seamless pipeline optimized for iteration speed and inference performance.
Upload Data
Securely upload your raw datasets to our encrypted storage enclave.
Review Labels
Verify and modify automated labels using our integrated human-in-the-loop interface.
Fine-tune Adapter
Launch training jobs on dedicated TPU pods. Optimized LoRA convergence in minutes.
Serve on TPUs
Deploy instantly to a serverless endpoint with high throughput and zero cold-start.
Platform in Action
Explore the user interface, real-world deployments, and state-of-the-art architecture of our private beta.
Agent Workspace Overview
The central hub of the AlphaDeep platform. Engineers collaborate directly with our AI agent to launch, monitor, and configure training pipelines using natural language.
Pricing
Transparent pricing scaling with your compute needs. Includes access to our Model Builder and Data Labeling tools.
Developer
Perfect for testing and hobbyists.
- Model Builder Included
- Human-in-the-loop Labeling Tool
- Fine-tune up to 100 samples
- 10 API calls/mo free
- Shared TPU Access
- Pay-per-token thereafter
Frequently Asked Questions
Learn more about our technology, our corporate structure, and the team driving our machine learning platform.
- Autonomous Dataset Preparation: Our AI Engineering Agent parses datasets, validates labels, and identifies clean training samples automatically using natural language cues.
- TPU-Optimized Distributed Training: Launch and monitor model training runs on Google TPU Pods (v5e/v6e) using native JAX/Flax configurations, reducing adapter convergence time to minutes.
- Zero Cold-Start Serving: Deploy custom trained LoRA adapters instantly onto serverless endpoints. Compute scales to zero when idle, saving cloud spend.
- Human-in-the-Loop Integration: Predictions with low confidence scores are automatically routed to human operators. Verified inputs are looped back to retrain and improve model accuracy.