A2A Net
For B2B SaaS product and engineering teams

Build an AI agent for your product that works in your website

Create an AI agent for your product from your existing API or MCP server, automatically optimize it with real conversations, and publish it to your website, app, Slack, Teams, Copilot, and Gemini Enterprise

Book a demo
  • Your Website
  • Your App
  • Slack
  • Teams
  • Copilot
  • Gemini Enterprise
Why now?

Buyers now demand, switch for, and pay for AI

2 in 3

buyers weigh AI when choosing software

Over two-thirds of B2B buyers actively consider AI capabilities when selecting software, per G2's 2025 Buyer Behavior Report — a survey of 1,169 B2B decision-makers.

50%

of enterprise buyers switched vendors for better AI

Half of enterprise buyers (1,000–5,000 employees) say they have switched software vendors to gain access to superior AI features, with mid-market buyers close behind at 42%.

88%

of power users would pay a premium for AI

More than two-thirds of all buyers — and 88% of self-described power users — say they'd pay a premium for AI functionality if the value is clearly demonstrated.

4 in 5

buyers report positive ROI on AI-powered software

Four out of five buyers report positive returns on their AI-powered software investments.

40%

of enterprise apps will ship task-specific agents by end of 2026

Gartner predicts 40% of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% in 2025 — and warns leaders have a three-to-six-month window to define their agentic AI strategy.

The problem

It's hard to build and maintain production-ready agents

Building production-ready agents is hard

Coding agents help but still require constant input from an AI Engineer. Prompt changes fix one thing and break another, and building good evals is genuinely difficult.

Maintaining agents is time consuming

New models are released every month, requiring prompts to be rewritten and making scaffolding redundant. Staying up-to-date with the latest developments like optimizers, code mode, and harnesses is a full-time job in and of itself.

Each platform requires a custom integration

Websites, Slack, Teams, etc. each require a separate implementation: authentication, generative UI, file sending, and more.

How it works

Your API to production-ready agent

Create an AI agent from an OpenAPI spec or MCP server, automatically optimize it with real conversations, and publish it to your website, your app, Slack, Teams, Copilot, and Gemini Enterprise

  1. 01 Step 1

    Create an AI agent from an OpenAPI spec or MCP server

    Add an OpenAPI spec or an MCP server's URL, along with any custom headers.

    Agent Builder
    Create an AI agent from an OpenAPI spec or MCP server
  2. 02 Step 2

    Test with real conversations

    Chat to the agent and figure out where it fails. Once you know what's working and what isn't, you can add rubrics.

    Playground
    Test with real conversations
  3. 03 Step 3

    Set rubrics and rate sessions

    A rubric can be anything you want: using correct tools and parameters, effectively responding to the user, not hallucinating, etc. Rate each chat against the rubrics, these will be used to optimize the agent.

    Rubrics & Scoring
    Set rubrics and rate sessions
  4. 04 Step 4

    Automatically optimize the agent

    Click 'Optimize Rubrics' to optimize an LLM-as-a-judge. Once you've optimized the rubrics, click 'Optimize Instruction' to optimize the system instruction to any model you want.

    Optimisation Run
    Automatically optimize the agent
  5. 05 Step 5

    Publish to your website, app, Slack, Teams, Copilot, and Gemini Enterprise

    That's it. Continuously improve the agent by rating chats, and optimizing the rubrics and system instruction.

    Publish
    Publish to your website, app, Slack, Teams, Copilot, and Gemini Enterprise
Features

All the latest developments, in a platform

A2A Net is a fully-managed platform built specifically to build, optimize, and publish AI agents to your website, app, Slack, Teams, Copilot, and Gemini Enterprise

Automatic optimization

Automatically optimize your agent to the latest model with state-of-the-art optimization algorithms that have been customized specifically for conversational agents.

Code mode

Code mode is enabled by default, giving agents the ability to write code to call tools, analyze the tool call results, create files, and more.

AG-UI compatible

Every agent is AG-UI protocol compatible, the protocol that's trusted by the majority of the Fortune 500 and Global 50, making it easy to integrate the agent into your site if you're already using the CopilotKit SDK.

Opportunity

Increase your revenue through untapped channels

Increase conversion to paid and retention with Slack and Teams. Close larger enterprise deals faster with Microsoft and Google Cloud Marketplace

0%

increase in conversion to paid

Zapier disclosed that Slack users are 10% more likely to convert to paid — and 150% more likely if they connect Slack on day one.

0%+

lift in retention

Mural reports a double-digit retention lift for users who engage with Mural inside Teams, Outlook, and Office — translating to more seats and bigger renewals.

0%

larger deal sizes

Google Cloud Marketplace deals are 112% larger and close up to 50% faster.

Ship it!

Build an AI agent for your product that works in your website, app, Slack, Teams, Copilot, and Gemini Enterprise

Create an AI agent for your product from your existing API or MCP server, automatically optimize it with real conversations, and publish it to your website, app, Slack, Teams, Copilot, and Gemini Enterprise

Book a demo
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