v3.0 — Just shipped

The complete AI
infrastructure platform

Everything you need to build, deploy, and scale AI-powered products — from prototype to production.

Nexus AI Dashboard

All the features you need

From data ingestion to model serving — we've got every step covered.

Visual Pipeline Builder

Visual Pipeline Builder

Drag-and-drop interface to design, test, and deploy AI pipelines. Connect models, data sources, and outputs visually.

Edge Deployment

Edge Deployment

Deploy models to 40+ edge locations globally for sub-50ms inference latency.

Enterprise Security

Enterprise Security

SOC 2 Type II certified. End-to-end encryption with zero-trust architecture.

Auto-Scaling

Auto-Scaling

Scales from zero to millions of requests automatically. Pay only for what you use.

Model Fine-Tuning

Model Fine-Tuning

Fine-tune any foundation model on your data with just a few clicks. No code required.

Real-Time Monitoring

Real-Time Monitoring

Full observability into your pipelines. Track latency, throughput, costs, and model performance.

SDK & API

SDK & API

First-class SDKs for Python, TypeScript, Go, and Rust. RESTful API with streaming support.

Vector Store

Vector Store

Built-in vector database with automatic chunking, embedding, and retrieval optimization.

See it in action

Try our interactive demo — build an AI pipeline in under 60 seconds.

Interactive Demo

Build a complete AI pipeline with our visual editor. No signup required.

60s

Average time to first pipeline

50+

Data source integrations

0

Lines of infra code needed

First-class SDKs

Install, configure, and deploy with just a few lines of code. Our SDKs handle authentication, retries, streaming, and error handling — so you can focus on building.

PythonTypeScriptGoRustJavaRuby
import { NexusAI } from '@nexus-ai/sdk';

const client = new NexusAI({
  apiKey: process.env.NEXUS_API_KEY
});

const result = await client.pipeline('my-pipeline')
  .run({
    input: 'What is quantum computing?',
    stream: true
  });

// Stream results in real-time
for await (const chunk of result) {
  process.stdout.write(chunk.text);
}

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