Beam AI self-learning agents vs Matrix42 Neo

Quick answer

Beam AI self-learning agents (finance and operations agent suites) (Beam AI (Beam Technologies GmbH)) and Matrix42 Neo (agentic AI for service desk and employee self-service) (Matrix42 (Matrix42 GmbH)) are both listed in the Business operations category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

Beam AI self-learning agents (finance and operations agent suites) (Beam AI (Beam Technologies GmbH)) and Matrix42 Neo (agentic AI for service desk and employee self-service) (Matrix42 (Matrix42 GmbH)) are both listed in the Business operations category of Agent Index. They share no framework tags in our dataset.

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Field Beam AI self-learning agents (finance and operations agent suites)Matrix42 Neo (agentic AI for service desk and employee self-service)
Vendor Beam AI (Beam Technologies GmbH)Matrix42 (Matrix42 GmbH)
HQ Germany · EuropeGermany · Europe
Primary category Business operationsBusiness operations
Also listed in Business operationsBusiness operations
Summary Agentic automation platform that turns SOPs into self-learning production agents, with prebuilt finance agents for invoice reconciliation, accounts receivable and financial compliance and reporting.Frankfurt-based Matrix42 added Neo agents to Matrix42 Professional in release 26.2 (Oct 22, 2026): they triage and enrich incoming tickets, resolve known issues automatically and document the outcome, route the rest to the likely resolver, fulfil supported employee requests end to end and execute device fixes once a service-desk agent approves.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks process automation, agentic ops, workflow automationit service, employee support, workflow automation
Integrations (vendor-listed) Not recorded in this dataset yetMicrosoft Teams, MCP
Pricing (as published) Published on beam.ai/pricing: Free (20 tasks/month), Pro $50/month (200 tasks/month), Scale $3,990/month, Custom plan on request.Not published; Neo includes a 60-day free trial, subject to limitations (Matrix42 Professional 26.2 release notes, Oct 22, 2026; checked 2026-10-28).
Pricing model freemiumquote
Primary source https://beam.ai/https://www.matrix42.com/matrix42-neo
Last checked 2026-10-182026-10-28
Official site https://beam.ai/https://www.matrix42.com/matrix42-neo

FAQ (from this dataset)

What is the difference between Beam AI self-learning agents and Matrix42 Neo?

Both are listed under Business operations. Shared tasks: workflow-automation. Beam AI self-learning agents-only tasks: process-automation, agentic-ops. Matrix42 Neo-only tasks: it-service, employee-support. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Beam AI self-learning agents (finance and operations agent suites): Published on beam.ai/pricing: Free (20 tasks/month), Pro $50/month (200 tasks/month), Scale $3,990/month, Custom plan on request. Matrix42 Neo (agentic AI for service desk and employee self-service): Not published; Neo includes a 60-day free trial, subject to limitations (Matrix42 Professional 26.2 release notes, Oct 22, 2026; checked 2026-10-28).

Where are Beam AI self-learning agents and Matrix42 Neo headquartered?

Beam AI self-learning agents (finance and operations agent suites) publishes HQ in Germany. Matrix42 Neo (agentic AI for service desk and employee self-service) publishes HQ in Germany.

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

Also in this use case

Other verified listings that share a task tag or use-case group with Beam AI self-learning agents (finance and operations agent suites) or Matrix42 Neo (agentic AI for service desk and employee self-service). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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