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FEDERATED AI COMPUTEFIRST IN THE WORLD

Train any AI model.Deploy in minutes.Zero infrastructure.

Fine-tune and evaluate with Federated or Traditional compute.GPU clustering your way. Deploy OpenAI-compatible APIs instantly.No infrastructure. No limits. Your choice.

First Federated Compute Platform • Zero Infrastructure • Unlimited Scale

01Workflow & Pipeline

Simple workflow.Powerful pipeline.Your choice of compute.

From dataset to production in 4 simple steps. Choose your compute model. See the detailed 8-step pipeline. All in one place.

Simple 4-step workflow

From dataset connection to production API

1

Connect your dataset

Upload files, connect HuggingFace, or sync from external sources. We validate, score, and prepare it automatically.

2

Choose model & method

Select any base model. Pick your training method. Configure in minutes.

3

Train with your choice

Choose Federated or Traditional compute. Select Instance GPU or Cluster GPU. Train faster, cheaper, at unlimited scale.

4

Deploy & monitor

One click to deploy. Your model becomes an OpenAI-compatible API. Monitor everything live.

Choose your compute model

Traditional or Federated. Single Instance or GPU Cluster. All supported. All ready. All codeless.

Traditional Computing

Decentralized traditional compute

Single Instance

One GPU instance

GPU Cluster

Multiple GPUs working together

  • Single location
  • Predictable performance
  • Full control
  • Instance or Cluster

Best for: Stable workloads, on-premise needs

Federated Computing

Distributed compute across global nodes

Single Instance

One GPU instance

GPU Cluster

Multiple GPUs working together

  • Global distribution
  • Privacy-preserving
  • Unlimited scale
  • Instance or Cluster

Best for: Privacy-sensitive data, global scale

One platform. All compute types. All deployment options.

Choose Traditional or Federated. Select Single Instance or GPU Cluster. Switch anytime. No infrastructure setup. No code required.

All compute types supported

Choose Traditional, Federated, or Clustering. Switch anytime.

Ready infrastructure

No setup required. Start training in minutes.

Codeless interface

No-code workflows. Guided setup. Automatic configuration.

Unified platform

One platform. All compute types. Seamless integration.

Detailed 8-step pipeline

See every step from dataset connection to production API endpoint

User
1
Dataset
2
Choose Compute
Federated or Traditional
3
Select GPU
Instance or Cluster
4
Fine-Tune
5
Evaluate
6
Deploy
7
OpenAI API
Production endpoint
8

Connect dataset → Choose compute (Federated/Traditional) → Select GPU (Instance/Cluster) → Fine-tune → Evaluate → Deploy → OpenAI API endpoint

02Product suite

Complete platform for production AI

Six powerful products. One unified platform. Use what you need, or run the full stack. Everything works together seamlessly.

Train & iterate

FineTune Studio

No-code fine-tuning for any model. Guided workflows. Real-time monitoring. All training methods supported.

  • All training methods
  • No-code interface
  • Real-time monitoring
  • Automatic checkpoints
Start Training
Browse & compare

Model Catalog

Explore trained models. Compare performance. Review usage notes. Deploy the best fit for your needs.

  • Curated models
  • Performance comparison
  • Usage guidance
  • One-click deploy
Browse Models
Serve & monitor

API Platform

OpenAI-compatible endpoints. Streaming support. Usage tracking. Built-in governance from day one.

  • OpenAI-compatible
  • Streaming support
  • Usage tracking
  • Built-in governance
View API Docs
Version & scale

Deploy Control

Manage deployments. Control traffic. Automated testing. Rollback instantly. Production confidence.

  • Version control
  • Traffic management
  • Automated testing
  • Instant rollback
Learn More
Quality assurance

Evaluate Suite

Automated evaluation. Human review. Safety checks. Keep models on-brand, factual, and safe.

  • Automated scoring
  • Human review
  • Safety checks
  • Quality reports
See Evaluation
Data intelligence

Dataset Hub

Connect datasets from multiple sources. Upload files, HuggingFace, or external sources. Quality scoring. PII detection. Automatic cleaning. Production-ready data.

  • Multiple sources
  • HuggingFace integration
  • Quality scoring
  • PII detection
  • Automatic cleaning
Connect Dataset
03Use cases

Built for every AI use case

From enterprise assistants to multimodal models. One platform. Unlimited possibilities.

Enterprise AI Assistants

Build secure, domain-aware assistants with policy controls. Train on private data without leaving your network.

Custom Chat Models

Create instruction-tuned LLMs for product chat and support. Train on your conversations, deploy in hours.

Domain-Specific Models

Legal, medical, fintech—train specialized models on your corpora. Privacy-first, production-ready.

Coding & Agentic Models

Build tools, function-calling, multi-step orchestration. Train models that code, reason, and act.

Multimodal Training

Vision, audio, video—train at scale. Our federated network handles any modality.

On-Premise & Private Data

Bring compute to your data. Never the reverse. Train on-premise with federated orchestration.

04Get started

Build your custom AI modelswithout managing GPUsStart now

Choose Federated or Traditional compute. Fine-tune and evaluate your way. GPU clustering your choice. Deploy OpenAI-compatible APIs. Scale to infinity.