Slack
Teams
Copilot
Gemini Enterprise
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.
For B2B SaaS product and engineering teams
Create an AI agent from your B2B SaaS APIs that your customers can use in
Create an AI agent from your B2B SaaS APIs that your customers can use in
your website
Build an AI agent from your existing APIs or MCP server, automatically optimize it with real conversations, and publish it to your website, app, Slack, Teams, Copilot, and Gemini Enterprise in a week
- Your Website
- Your App
- Slack
- Teams
- Copilot
- Gemini Enterprise
Buyers now demand, switch for, and pay for AI
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%.
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.
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.
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.
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, app, Slack, Teams, Copilot, and Gemini Enterprise
- 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 - 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 - 03 Step 3
Set rubrics and rate sessions
A rubric can be anything you want: effectively communicates to the user, completes the task in the optimal amount of time, uses the correct tools and parameters, etc. Rate each chat against the rubrics, these will be used to optimize the agent.
Rubrics & Scoring - 04 Step 4
Automatically optimize the agent
Optimize the LLM-as-a-judge to rate sessions like you. Then, automatically optimize the agent.
Optimization Run - 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
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's prompt to the latest models with state-of-the-art optimization algorithms that have been customized specifically for conversational agents.
Production and staging environments
Test and optimize your agent in a staging environment so prompts and tool calls can be tested without affecting production data.
Variables and secrets
Use variables like {customerName} and secrets like {customerToken} in the agent's instruction and tools. Send them as headers with API requests or set them per customer when you authenticate them.
Customer credits
Keep track of how many credits each customer uses and set limits based on their subscription.
Customer linking
Authenticate users on Slack, Teams, etc. by sending them a link to your platform that authenticates them.
Publish to Slack, Microsoft, and Google marketplace
Agents built in A2A Net meet all of the requirements to be published to Slack, Microsoft, and Google marketplace out of the box.
Generative UI
Allow agents to generate Slack, Teams, etc. native UI components like buttons, images, and tables.
Code mode
Every agent has a customizable Python sandbox to write code, call tools, create files, and more.
API/CLI/MCP access
Build, rate, and optimize your agent with Codex, Claude Code, or Cursor with our API, CLI, or MCP.
AG-UI
Agents built in A2A Net are AG-UI protocol compatible, making it easy to integrate the agent into your site.
A2A
Every agent is A2A protocol compatible, making it easy for your customers to add your agent to their multi-agent system.
File upload and download
Allow agents to send and receive files, including images, PDFs, and spreadsheets, on every platform without additional setup.
10x cheaper than an AI Engineer
Build and optimize personal agents that you can chat to in the A2A Net UI and in Slack via the A2A Net Slack agent for free. Get all features for $300/month
Pay as you go Free Build and optimize personal agents that you can chat to in the A2A Net UI and in Slack via the A2A Net Slack agent. | Startup
$300
$225
/month
$2700 billed yearly Build, optimize, and publish customer-facing agents that you can add to your website, app, Slack, Teams, Copilot, and Gemini Enterprise. | Scale
$1000
$750
/month
$9000 billed yearly A dedicated FDE to help you build, optimize, and publish customer-facing agents that you can add to your website, app, Slack, Teams, Copilot, and Gemini Enterprise. | Enterprise Custom A dedicated FDE to help you build, optimize, and publish customer-facing agents to a self-hosted version of A2A Net that you can add to your website, app, Slack, Teams, Copilot, and Gemini Enterprise. | |
|---|---|---|---|---|
| Credits | 500 | 10,000/month | 30,000/month | Custom |
| Automatic optimization | ||||
| Code mode | ||||
| File upload and download | ||||
| A2A Net UI | ||||
| AG-UI & A2A | – | |||
| Slack, Teams/Copilot, & Gemini Enterprise | Slack via the A2A Net Slack agent | |||
| Customer credits & customer linking | – | |||
| Publish to Slack, Microsoft, & Google Marketplace | – | |||
| Support | Community | Slack | Dedicated | Dedicated |
| Dedicated FDE A top 1% AI Engineer to help you build and maintain your agent | – | – | ||
| Self-host | – | – | – | |
| Try for free | Upgrade | Upgrade | Get in touch |
$10 = 1,000 credits. LLM tokens are charged at market rate.
Questions, answered.
More in the docs. Still curious? Book a demo and we'll walk through it.
Intercom, Sierra, and Decagon provide customer support and customer experience agents that handle customer support, answer FAQs, allow customers to make purchases, etc. A2A Net is an AI agent builder for B2B SaaS to build agents from their APIs that their customers can use to perform actions, analyze data, complete complex multi-step workflows, and more.
Ship it!
Create an AI agent from your B2B SaaS APIs that your customers can use in your website, app, Slack, Teams, Copilot, and Gemini Enterprise
Build an AI agent from your existing APIs or MCP server, automatically optimize it with real conversations, and publish it to your website, app, Slack, Teams, Copilot, and Gemini Enterprise in a week
Publishes to