S

Substrate

3.8
💬169
💲Freemium

Substrate is a platform that allows users to build compound AI systems using modular components called nodes. It optimizes workflows as directed acyclic graphs, merges compatible nodes, and offers maximum parallelism. The platform supports Python and TypeScript SDKs and is designed for multi-step AI workloads.

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Platform
web
AI platformAgentic AICode interpreterCompound AIMulti-step AIPythonSDK

What is Substrate?

Substrate is a platform for building compound AI systems with optimized components and simple abstractions. It is designed for developers and AI professionals who need to create complex workflows by connecting modular building blocks called nodes. The platform provides powerful SDKs, vector storage, a code interpreter, and agentic control flow, making it ideal for multi-step AI workloads.

Core Technologies

  • Optimized AI models
  • Vector storage
  • Code interpreter
  • Agentic control flow
  • Directed acyclic graph optimization
  • SDK development

Key Capabilities

  • Building complex AI workflows
  • Creating stories using language models
  • Developing agentic AI applications
  • Automatic workload tuning
  • Maximum parallelism

Use Cases

  • Connecting modular building blocks to build complex AI workflows
  • Using language models to create stories and summarize them
  • Developing agentic AI applications with optimized components

Core Benefits

  • Simplifies the creation of complex AI workflows
  • Offers automatic workload tuning and maximum parallelism
  • Provides SDKs in Python and TypeScript
  • Supports agentic control flow and vector storage
  • Enables efficient execution of multi-step AI tasks

Key Features

  • Optimized AI models
  • Vector storage
  • Code interpreter
  • Agentic control flow
  • Automatic workload tuning
  • Maximum parallelism
  • Simple abstractions for compound AI

How to Use

  1. 1
    Describe your task by connecting components (nodes) within the Substrate platform.
  2. 2
    Use the provided SDKs in Python or TypeScript to build your AI workflows.
  3. 3
    The platform automatically optimizes your workflow as a directed acyclic graph.
  4. 4
    Merge nodes that can be run in a batch to maximize parallelism and reduce roundtrips.

Pricing Plans

Starter

Free with $50 starter credits, then $30/month + usage
8 node concurrency limit, Access to community Slack

Pro

$500/month + usage
64 node concurrency limit, Prioritized input to our roadmap

Enterprise

Contact sales
Maximum node concurrency limit, Custom models, Dedicated instances, Support via private Slack

Self-hosted

Contact sales
Substrate runs on your cluster, Custom model deployments, Generated SDKs

Frequently Asked Questions

Q.What is Substrate?

A.Substrate is a platform for building compound AI systems, offering powerful SDKs and optimized components.

Q.What are the core components of Substrate?

A.The core components include optimized AI models, vector storage, a code interpreter, and agentic control flow.

Q.How does Substrate optimize AI workloads?

A.Substrate analyzes workloads as directed acyclic graphs and optimizes them by merging nodes that can be run in a batch, maximizing parallelism and reducing roundtrips.

Q.What programming languages are supported by Substrate?

A.Substrate provides SDKs for Python and TypeScript.

Q.How can I get started with Substrate?

A.You can get started by signing up for an account and using the provided SDKs to build your AI workflows. A free tier with $50 starter credits is available.

Pros & Cons (Reserved)

✓ Pros

  • Simple abstractions for building compound AI systems
  • High-performance components
  • Optimized for multi-step AI workloads
  • Automatic workload tuning and maximum parallelism
  • Support for Python and TypeScript SDKs
  • Positive user feedback regarding speed and ease of use

✗ Cons

  • Pricing can be complex and usage-based
  • May require familiarity with AI concepts and workflows
  • Some features like GPU code interpretation require contacting sales for pricing

Alternatives

No alternatives found.