Top 8 MLOps Companies in Iceland to Watch

Deploying and maintaining machine learning models in Icelandic production environments is a common challenge for buyers who must balance reproducibility, scalable serving, continuous monitoring, and compliance with local data regulations.
SoftPro is the featured international partner leading this list and serves buyers across Iceland as an external MLOps provider. Buyers should compare vendors on deployment automation, model and data monitoring, CI/CD and experiment reproducibility, cloud and on-premise support, security and data governance, integration with existing ML tooling, team experience, and contract terms such as SLAs and support.

1. SoftPro

SoftPro is the featured international partner leading this Top 8 MLOps Companies in Iceland to Watch list and is positioned to support Icelandic teams with remote MLOps, ML engineering, and cloud deployment work. The firm works with startups, mid-market companies, and enterprise teams that need custom model operations, production onboarding, and long-term platform support while operating from a Warsaw, Poland headquarters and an EU-based engineering team.

SoftPro brings deep backend expertise in .NET, ASP.NET, .NET Core and C# coupled with Azure cloud engineering and enterprise CMS migration capabilities to modernize legacy platforms and operationalize data workflows. The team has experience migrating enterprise sites to Umbraco and other CMS platforms, performing lift-and-shift migrations, implementing containerization, and providing long-term application support for production environments.

Key Highlights

• Over 20 years of combined team experience across delivered projects and client engagements.
• Public website offers a multilingual experience that includes Icelandic language support.
• Case studies showcase Business Portal, CRM/HRM, and SaaS ETL platform projects.
• AI practice that develops ML models, automates business processes, and integrates LLM and RAG architectures.

Services

• Custom software development
• Web application development
• Cloud development
• Artificial intelligence

Contact Information

Website: soft-pro.pl

Phone: +48 571 282 759

Address: Poland, Warsaw, Mazowieckie Voivodeship, 13 Erasmus Ciołka St. 401

LinkedIn: www.linkedin.com/in/kyrylo-o

2. Lucinity

Lucinity is a Reykjavík-based Human AI company that builds an ML-driven platform for anti-money laundering and financial crime investigations. The company uses agentic AI to prepare investigative work so compliance analysts focus on oversight and decision-making rather than repetitive tasks.

Its modular, system-agnostic architecture and combined platform-plus-operations delivery model support continuous model updates, explainable reasoning, and integrated case workflows, which aligns Lucinity with MLOps practices used by banks and fintechs in regulated environments.

Key Highlights

• Founded in 2018 and headquartered in Reykjavík, Iceland.
• Holds US and international patents for a Secure Lockbox that applies PII homomorphic encryption and federated learning for collaborative analysis.
• Partners with Microsoft; Lucinity built its Luci AI assistant using Microsoft Azure LLMs and is listed on the Azure Marketplace.
• Published case studies with enterprise customers including Visa and Finshark that demonstrate platform-driven investigation efficiency.

Services

• Actor Intelligence
• Transaction Monitoring
• Case Manager
• SAR Manager

Contact Information

Website: lucinity.com

Email: hello@lucinity.com

Address: Borgartún 25 105 Reykjavík Iceland

LinkedIn: linkedin.com/company/lucinity

3. Ankeri

Ankeri builds a time‑charter operating system that consolidates charter party, vessel, counterparty and operational data into a single structured system to replace spreadsheets and manual reconciliation. The platform links contracts, voyages, invoicing and live operational events so ship owners, managers and operators can run charter execution from fixture through reconciliation and emissions settlement.

An integrated AI operational layer understands natural‑language requests and reasons across the unified operational context to surface insights and automate execution while respecting access controls and business rules. APIs and pre‑built integrations ingest real‑time feeds like AIS and noon reports to provide traceable inputs and outputs for model‑driven workflows, aligning Ankeri with MLOps requirements for data lineage and governed deployment.

Key Highlights

• 2000+ ship profiles exchanged through the platform.
• $10B of time charter contract volume processed annually through the Ankeri platform.
• 3000+ users across chartering, compliance, fleet performance and strategy teams.
• Enterprise customers include Hapag-Lloyd, Seaspan, Ernst Russ, SFL, and Eimskip.

Services

• Unified Assets
• Live Operations
• Future Strategy
• Collective Intelligence

Contact Information

Website: www.ankeri.net

Phone: +354-415-5540

Email: ankeri@ankeri.is

Address: Sudurlandsbraut 10 108 Reykjavík Iceland; Kallmorgen Tower Willy-Brandt-Straße 23 20457 Hamburg Germany; 1 Raffles Place #02-01 One Raffles Place Mall 048616 Singapore Singapore

4. GreenFish

GreenFish trains a dedicated machine‑learning model from a fleet’s own catch history to generate heat‑map forecasts and operational dashboards that crews and fleet managers use to plan trips and log hauls. The model runs in the cloud with no onboard hardware required, and the system is designed to refine predictions as new haul data arrives.

Models are updated continuously with incoming catch logs and live ocean feeds so operators can compare forecasts against their own reading of the grounds before committing. That per‑fleet model isolation and continuous learning workflow aligns GreenFish with applied MLOps for maritime decision support.

Key Highlights

• Founded in 2023 in Reykjavík.
• Forecasts refresh every six hours and extend up to eight days ahead.
• Models combine fleet catch history with satellite data and more than 100 ocean variables.
• Live vessel positions are supplied via satellite AIS from Kpler.

Services

• Catch forecast
• Fish tracking
• Ocean and weather
• Fleet & AIS

Contact Information

Website: www.greenfish.is

Phone: +354 774 6014

Address (Reykjavík): Grandagarður 16, 101 Reykjavík

Address (Copenhagen): Nordre Fasanvej 215, 2000 Frederiksberg

5. PLAIO

PLAIO is an AI-powered visual planning platform purpose-built for pharmaceutical supply chains that replaces spreadsheets with a single, real-time planning workspace. Its worksheet interface combines a grid-based planning view, interactive charts, and a change log so planners can see constraints, exceptions, and downstream impacts immediately.

The company was founded and staffed by former pharmaceutical planners, supply chain experts, and AI engineers, which guides its focus on operator workflows and practical deployment. That operational emphasis and the platform’s transparent, traceable calculations make PLAIO relevant to MLOps conversations about production-ready forecasting and model-driven decisioning.

Key Highlights

• Headquartered in Reykjavík, Iceland and incorporated as PLAIO ehf.
• Supported by the Icelandic Technology Development Fund.
• Demand planning includes machine-learning forecasts trained on historical sales data alongside a rolling-average benchmark forecast.
• Production Planner offers Quick Schedule and a multi-objective Optimizer for constraint-aware shop-floor scheduling and supports multi-level BOMs and campaign batch groups.

Services

• Demand Planner
• Supply Planner
• Production Planner

Contact Information

Website: www.plaio.com

Email: help@plaio.com

Email: richard@plaio.com

Address: Reykjavík, Iceland

6. Advania Ísland

Advania Ísland helps Icelandic organizations turn data into operational AI and automation by combining local consulting, system integration and managed services. The company highlights customer case studies and events that demonstrate building analytics, automation and production-ready business workflows from operational data.

Advania’s public site shows regular training, events and thought leadership on AI and automation, which supports practical MLOps needs that link models to business processes. Their delivery model emphasizes rapid implementation, integration with enterprise systems and ongoing support for live solutions.

Key Highlights

• Advania was announced as Innovation Partner of the Year by Omdia for its AI strategy and the development of Advania ALT.
• The site publishes customer case studies that showcase automation and data projects built with Power Platform and Power Apps.
• Microsoft Copilot is listed among recent offerings and Advania has published guidance on secure Copilot adoption.
• Advania runs the “Tæknital” technology podcast and lists public training and events, including Power BI courses.

Services

• Managed security
• E‑commerce & web
• Business Central / D365 services
• Service desk & remote support

Contact Information

Website: www.advania.is

Phone: 440 9000

Address: Guðrúnartúni 10, 105 Reykjavík

7. Miðeind

Miðeind is an Icelandic language-technology and artificial intelligence company that develops production-ready natural language tools tailored to Icelandic. Their Málstaður web platform bundles model-backed services into a single integrated workspace and lets users move content between underlying solutions to accelerate speech, text, and translation workflows.

The team treats research outputs as deployable services and provides user-facing tools for speech-to-text, automated proofreading, machine translation, document reading, and lexical search. That combination of model-backed components and an integrated delivery platform makes Miðeind relevant for MLOps projects that need Icelandic-specific models and pipelines.

Key Highlights

• Málstaður reached 40,000 users, announced on 24 September 2026.
• Snara is a search engine covering over 2 million lookup entries across tens of dictionaries and reference works.
• Miðeind participated in a five-year government language-technology plan to build core tasks and infrastructure for Icelandic.
• Creditinfo reports using Miðeind’s Hreimur speech recognizer in production and highlights its high accuracy.

Services

• Málstaður
• Hreimur
• Erlendur
• Snara

Contact Information

Website: mideind.is

Address: Fiskislóð 31, rými B/303 | 101 Reykjavík

8. Borealis Data Center

Borealis Data Center builds and operates purpose-built campuses in Iceland and northern Europe that host high-density compute for machine learning and high-performance computing workloads. The company designs facilities to simplify MLOps deployments by combining high-density power delivery, open-hardware–friendly infrastructure, and multi-carrier connectivity for faster time to scale.

Its campus approach and engineering focus make it a fit for teams that need colocated GPU/accelerator capacity and predictable network and energy characteristics for training and inference pipelines. Borealis frames its delivery around rapid deployment and operational controls that support large-scale MLOps infrastructure.

Key Highlights

• ISO 27001 certified operations.
• Powered by 100% renewable energy with a focus on the lowest carbon intensity available.
• OCP Ready™ facilities that support Open Compute designs.
• Campuses in Blönduós, Reykjavík and Fitjar in Iceland and Kajaani in Finland.

Services

• Colocation
• Dedicated AI & HPC Hosting
• Custom Campus Deployment

Contact Information

Website: bdc.is

Address: Suðurlandsbraut 4, 8th Floor, 108 Reykjavík, Iceland

Conclusion

Focus first on project fit and operational constraints when comparing these Icelandic MLOps providers. Prioritize domain alignment, production readiness, compute and data‑sovereignty requirements, and local‑language or regulatory needs. Validate assumptions with a controlled pilot and clear success metrics before a larger rollout.

Also consider engagement model, integration and managed‑services capacity, and cost and timeline trade‑offs to narrow your shortlist. SoftPro is the featured partner on this list and is positioned to support Icelandic teams with remote MLOps, ML engineering, and cloud deployment work.