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Civitta

Vilnius, Lithuania

250+€45-85/hrFounded 2013
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About

Civitta is a management consultancy founded in 2013 with offices across the Baltics, Central and Eastern Europe, running an AI and data practice covering machine learning, data platforms and AI applications alongside its strategy and innovation work.

Who They Work With

Public agencies and donor-funded programs that need an AI system designed, procured and delivered inside EU rules.

Based on 3 client engagements with a source URL · researched 8 Sept 2026

Our Take

Two named public-sector systems are running: an AI assistant on Georgia's national learning platform, built for GITA with a three-layer retrieval design that checks curated answers first, then curriculum materials, then the model, serving thousands of students; and a convolutional model for Estonia's Environmental Agency that scores snow coverage from station cameras on a 10-point scale and feeds the CLIDATA databases in near real time.

The Romanian Customs Authority engagement is the deepest write-up—risk scoring on historical declarations, Isolation Forest and DBSCAN anomaly detection, embedding-based similarity across operators and routes, a retrieval-augmented assistant, human-in-the-loop control—but read its results section: what was delivered is a validated blueprint and a proof of concept, not a running system.

No outcome anywhere is quantified. The pages report scale and expected benefits rather than measured accuracy, throughput or cost.

The weaker fit is a buyer looking for a specialist AI build team: Civitta is a consultancy spanning the Baltics and Central and Eastern Europe where AI sits beside strategy, funding and public advisory, and much of this work arrives through public tender.

Key strengths

  • Two named public-sector AI systems in operation: GITA's curriculum-grounded assistant on Georgia's national learning platform, and snow-coverage scoring for Estonia's Environmental Agency
  • The Romanian Customs write-up names its methods—risk scoring, Isolation Forest, DBSCAN, embedding similarity, RAG—and states explainability and human sign-off as design requirements
  • Public procurement is familiar ground: engagements won by tender, delivered with partner organizations, and aligned to EU frameworks

Good to know

  • The Romanian Customs project delivered a blueprint and a proof of concept—ask what has since gone into production and who operates it
  • No case study reports a measured outcome; pages describe scale and expected benefits—ask for accuracy, processing time or cost figures before scoping
  • AI sits inside a broad consultancy across many countries—ask which office delivers, who the engineers are, and how the team persists after the strategy phase
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 8 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

Documented engagements: Georgia's Innovation and Technology Agency (GITA), Environmental Agency of Estonia (KeMIT), Romanian Customs Authority, and UN Tourism. All 4 carry a source URL on file.

Georgia's Innovation and Technology Agency (GITA)AnITa AI assistant on Georgia's national learning platform under the EU-funded program: a three-layer retrieval design (curated answers, curriculum materials, then the model) working in Georgian via translation, serving thousands of studentsSource
Environmental Agency of Estonia (KeMIT)Convolutional model scoring snow coverage from monitoring-station images on a 10-point scale, integrated with existing systems and feeding the CLIDATA databases for near real-time processingSource
Romanian Customs AuthorityRisk management transformation: centralized data platform with CDC ingestion and ETL, then risk scoring models, Isolation Forest and DBSCAN anomaly detection, embedding similarity and a RAG assistant—delivered as a validated blueprint plus proof of conceptSource

Also worked with

UN TourismSource

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