Maisa vs Sema4.ai (2026): which should you pick?

Pick Maisa if

• Fits if you are in a regulated industry and want the vendor to do the first build
• Makes sense if you need agent runs you can trace afterwards

Look elsewhere if

• Not for you if you want self-serve, as the vendor builds the first use cases with you
• Not for you if you want a published price, because none is shown
• Watch out: the cost, accuracy and speed figures on the site are the vendor's own, from named customer stories
• Watch out: no integrations are listed, so ask what it connects to

Pick Sema4.ai if

• Fits if you are an enterprise team that needs a record of what agents did
• Makes sense if you work on Snowflake and want agents there

Look elsewhere if

• Not for you if you want a price, as none could be read
• Skip it if you can't run a cluster, since self-hosting needs EKS or AKS and an identity provider
• Watch out: the docs say the API reference and SDKs are not yet written up for Version 3
• Not for you if you want a free plan, because none is on record

Maisa

• No prices are published; the site offers a demo request only, so pricing is recorded as unverified.
• The vendor builds the first use cases with the customer, so it is a services-led deployment rather than a self-serve sign-up.
• Cost, accuracy and speed figures on the site are the vendor's own and come from named customer stories.

Sema4.ai

• No pricing could be read: the vendor's site answered with a bot check, and the documentation states no prices.
• The docs say the API reference, the SDKs and deeper analytics surfaces are not yet written up for Version 3.
• Self-hosting needs your own cluster, such as AWS EKS or Azure AKS, plus an identity provider.

Maisa

Maisa Studio

Business teams describe the task, the data to use and the goal in natural language, connect systems, test a run before go-live and monitor runs in production.

Process definition

A worker is defined once with its objective, business rules, controls and exceptions, then runs the process across existing systems, including legacy ones.

Run traces

Every step is recorded, which the vendor says makes runs reproducible and audit ready.

Owned small models

The vendor says each worker's traces can train a small model the customer owns, which it says cuts cost per run; a customer case cites 14x lower cost per job.

Guided rollout

Maisa describes a 1-3-6 method: a first workflow version in one week, a live pilot by week three and production by week six.

Sema4.ai

Projects with shared context

Projects hold files, instructions, data, memories, skills and integrations, and you can chat with a Project to build or change what is inside it.

Workflows and work items

Workflows run with triggers, including a bound email address, and produce work items with a drafted answer that people can confirm, correct or send back.

Connections and data sources

The docs list providers such as SharePoint, Microsoft Teams, Gmail, GitHub, Slack and Stripe, MCP servers, and Snowflake and Postgres data.

Audit and evidence record

Administration pages cover audit lenses, deterministic execution, isolation of runs and alignment with COSO controls.

Self-hosting

Deployment guides cover AWS EKS, Azure AKS and other targets, with identity providers such as Entra ID, Okta and Auth0 for sign-on.

Maisa

Pricing could not be confirmed. See maisa.ai.

Sema4.ai

Pricing could not be confirmed. See sema4.ai.