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#2 of 9 AI agencies in Tallinn

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MindTitan

Tallinn, Estonia

10-49€45-85/hrFounded 2016

About

Estonian AI consultancy with offices in Tallinn and Tartu, building machine-learning systems, conversational agents and forecasting models end to end. Delivery runs through an in-house team of machine-learning engineers and data scientists rather than subcontractors.

Who They Work With

Nordic and Baltic operators that want a measured ML system built end to end by the team that will hand it over.

Clients:B2B

Based on 4 client engagements with a source URL · researched 10 Sept 2026

Our Take

The published work is machine learning delivered into operations and then measured, which is rarer than the category's marketing suggests. Elisa's customer service bot Annika, live since 2017, handles up to 70% of inbound contacts and fully resolves 42% of what it takes, so roughly a third of all contacts close without a person.

The Hepta Airborne engagement is the one that shows engineering character rather than results: computer vision finding defects on power lines inside the client's own inspection platform, with the write-up admitting that no usable public dataset existed, that the team had to build and label one, and that the models took a long time to get right.

Client staff are quoted by name in both, and the Hansab work puts a number on a dull, real problem—at least 10% fewer trips to refill ATMs.

The weaker fit is a buyer wanting a language-model product shipped this quarter: the pattern here is a measured system built end to end, which takes longer and holds up better.

Key strengths

  • Outcomes are stated in operational terms with the denominator attached—contacts handled, contacts resolved, refill trips avoided—rather than as accuracy scores nobody outside the team can interpret
  • The published record spans conversational AI, computer vision, forecasting and recommendation work, so the practice is not one technique repackaged
  • Case studies are candid about what was hard, including missing training data and long model development, which is a fair preview of how scoping conversations will go

Good to know

  • The flagship deployment dates from 2017 and predates current language models—ask what has been built on modern stacks and what is running today
  • No team page or headcount is published despite delivery being described as in-house—ask how many engineers would be on your project and where they sit
  • MindTitan publishes no rate itself; the €45-85/h shown here comes from a third-party directory listing
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 10 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: Elisa, Hepta Airborne, Hansab, and Gratitude Services. All 4 carry a source URL on file.

ElisaAnnika customer service bot, live since 2017, handling up to 70% of inbound contacts at 42% first-contact resolution, with product managers given direct control over customer interactionsSource
Hepta AirborneComputer vision for power line defect detection inside the client's uBird inspection platform, trained on a dataset built and labeled from scratch because no public one existedSource
HansabMachine-learning model predicting ATM cash requirements, reported to cut unnecessary refill trips by at least 10%Source
Gratitude ServicesImage recognition of headstones to automate cemetery mapping so visitors can locate a grave without manual directionsSource

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