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#3 of 10 AI agencies in Lisbon

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Altar.io

Lisbon, Portugal

10-49Contact for ratesFounded 2015

About

Altar.io is a Lisbon product engineering studio building custom software and MVPs for founders and enterprises, working across compliance, credit and real-estate technology.

Who They Work With

Funded founders building a regulated fintech or commerce product who want engineering that carries them to the next raise.

Based on 2 client engagements with a source URL · researched 9 Sept 2026

Our Take

A product studio for funded startups, and the case studies measure the client rather than the work. The Apiax study reports that the fintech went on to raise more than eight million dollars, win startup awards and grow past 75 people across five offices. The Krepling study opens with $4.3 million raised and a five-star review score. Both are real outcomes and neither tells you what Altar built or how it performed.

The AI in the portfolio mostly belongs to the products rather than to the engagements. Apiax turns financial regulation into machine-readable rules served through an API; Krepling is a no-code commerce platform with AI generating design templates. Altar's role in each is product engineering around that idea.

What the library does give you is volume and names: twenty-six case studies, sixteen of them naming the client, across fintech, commerce and marketplaces.

Best for founders who want a product built and taken to a raise, and who will ask separately what the team has trained, evaluated and put into production.

Key strengths

  • Twenty-six published case studies with the client named on sixteen of them, which is unusual volume for a studio of this size
  • The startup track record is checkable: Apiax raised more than eight million dollars and grew past 75 people after the engagement
  • Consistent focus on regulated fintech and commerce products rather than a scatter of unrelated verticals

Good to know

  • The studies report the client's funding and awards rather than what Altar built or how it performed—ask for the technical scope and the engineering outcome
  • Most of the AI belongs to the client's product; ask which models the team trained, evaluated or operated itself
  • No rate and no headcount are published—confirm team size and cost before a fixed-scope build
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 9 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: Apiax and Krepling. All 2 carry a source URL on file.

ApiaxProduct engineering for a regulatory-technology fintech turning financial, fiscal and data-protection regulation into machine-readable rules served through an API; the study reports the client raised more than eight million dollars and grew past 75 peopleSource
KreplingNo-code commerce management platform consolidating front, mid and back-office tools, with AI generating tailored design templates; the study reports $4.3 million raised and describes the engagement as ongoingSource

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