ML Pipelines

Build Production ML Pipelines in Minutes

Design, deploy, and monitor machine learning workflows with our visual pipeline builder. Connect to any model provider, scale automatically.

Pipeline: Document Processor
📄 PDF Input
🔮 GPT-4 Extract
✓ Validate Schema
📊 To Database
Status:Running
Processed:1,247 documents
Avg. Latency:2.3s

Pipeline Building Blocks

Compose pipelines from pre-built nodes. Connect them visually to create complex data processing workflows.

1

Data Ingestion

Connect to databases, APIs, files, or streaming sources

2

Data Transform

Clean, normalize, and preprocess data with built-in functions

3

Feature Engineering

Extract and select features with visual tools

4

Model Inference

Run predictions with any LLM or custom model

5

Post-processing

Format outputs, apply rules, and handle errors

6

Output Delivery

Send results to APIs, databases, webhooks, or queues

Pipeline Features

Everything you need to build, deploy, and operate ML pipelines at scale.

Visual Pipeline Builder

Drag-and-drop interface to design complex ML workflows without writing infrastructure code.

Model Marketplace

Access pre-trained models from OpenAI, Anthropic, Hugging Face, and community-shared models.

Real-time Monitoring

Track model performance, latency, token usage, and costs across all your ML pipelines.

Auto-scaling

Pipelines automatically scale based on demand. Pay only for what you use.

Data Privacy

Keep sensitive data secure with encryption, VPC support, and compliance with GDPR/HIPAA.

A/B Testing

Compare model versions side-by-side. Roll out new models gradually with traffic splitting.

Model Marketplace

Access models from leading AI providers or deploy your own. One click to add any model to your pipeline.

OpenAI

GPT-4o, GPT-4 Turbo, Embeddings

Anthropic

Claude 3.5 Sonnet, Claude 3 Opus

Google

Gemini Pro, Gemini Ultra

Hugging Face

Open source models

Replicate

Stable Diffusion, LLAMA

Custom Models

Self-hosted via API

Popular Use Cases

See how teams use ML Pipelines to automate complex data processing tasks.

Document Processing

Extract structured data from PDFs, invoices, and contracts using LLMs.

90%+ accuracy on complex documents

Sentiment Analysis

Analyze customer feedback, reviews, and support tickets at scale.

Process 10,000+ documents/hour

Content Generation

Generate marketing copy, product descriptions, and personalized emails.

5x faster content creation

Data Classification

Automatically categorize and tag data for compliance and organization.

99% classification accuracy

Real-time Cost Tracking

Monitor token usage and costs across all your pipelines. Set budgets, get alerts, and optimize spending with detailed analytics.

  • Per-pipeline cost breakdown
  • Token usage by model provider
  • Budget alerts and limits
  • Historical usage trends
  • Cost optimization recommendations

Monthly Usage Summary

OpenAI GPT-4$124.50
Anthropic Claude$89.20
OpenAI Embeddings$23.80
Total$237.50

Ready to Build Your ML Pipeline?

Join teams building production ML workflows with Lither. Start with our free tier and scale as you grow.