Our take: mia suits revenue, product and strategy teams that want customer and market signals from CRM, calls and competitors turned into ranked, evidence-backed actions.
Main limitation: Only a custom quote via sales is offered, and the product is early-stage with design partners.
By the AI Tool Atlas editors.
Based on the vendor's official documentation; we have not tested this product hands-on. What “documented overview” means
Who should use mia
mia suits revenue, product and strategy teams that want customer and market signals from CRM, calls and competitors turned into ranked, evidence-backed actions. Based on the vendor's documentation, not on a hands-on test.
Best for: Revenue and product teams
Also a good fit for
Enterprise intelligence teams
Consider another tool if no public prices; custom quote only
Or if
Sales call needed to start
Early-stage product with design-partner cohort
mia in the news
Headlines from US outlets, selected automatically — not endorsements. Updated Oct 2, 2026
Dedicated onboarding and model tuning are part of the custom plan.
Prices exclude VAT.
What is mia, and how does it work?
mia is a decision intelligence layer that combines internal and external data, such as customer feedback, market shifts and competitor moves, into ranked opportunities.
The company is Amsterdam-based and says it is GDPR and EU AI Act aligned; it is described as in early use with design partners.
mia's official site: how the product presents itself. gomia.ai, captured Oct 2, 2026
What you provide and what you get back
What you give mia and what comes back, from its documentation
You provide
CRM, call, ticket and feedback data
Social listening and competitor data
Market and regulation signals
You get back
Ranked opportunities and risks
Next best action recommendations
Slack and email digests
Where you can use it
Account
Required
Integrations
100+ connectors
Hosting
EU-hosted; managed, private cloud, on-prem
Certification
ISO 27001 in process
Where mia is most useful
Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.
Most teams are live in under two weeks, according to the mia FAQ, because standard connectors work out of the box. source (opens in a new tab)
Does mia train models on customer data?
No. The mia FAQ says it never trains shared models on your data and encrypts it in transit and at rest. source (opens in a new tab)
Can mia run on-premises?
Yes. mia lists bring-your-own LLM, private cloud, on-prem and managed deployment options. source (opens in a new tab)
How is mia priced?
mia has one custom plan quoted from seats, connected systems and outcomes, with a tailored quote promised within one business day and prices excluding VAT. source (opens in a new tab)
Every fact about mia above comes from the 3 official pages listed here, last compared on Oct 2, 2026; we have not run mia ourselves, so it has no editorial score. How we check and re-check pages.
Article updated Oct 10, 2026; prices checked Oct 2, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error