Stockholm has moved past the stage where AI is something people only talk about at meetups. Here, it shows up in real work - operations automation, analytics, forecasting, customer support, security. Demand for AI consulting in Stockholm looks steady because teams are looking for working solutions, not experiments, and those solutions need to fit into day-to-day processes and stay maintainable for months.

This piece brings together strong teams that are visible in the local scene and regularly handle AI consulting work - from early scoping and hypothesis checks to rollout and ongoing support. Approaches differ, but the direction is shared: make AI useful and manageable

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1. OSKI Solutions

At OSKI Solutions, we build custom software and web products for companies that are modernizing legacy systems and trying to scale without everything creaking at once. A lot of our work lives in the space between business operations and engineering reality. The stack is practical and familiar for that kind of job - .NET and C# on the backend, Node.js and PHP when it fits, and React, Angular, or Vue on the frontend. Cloud work shows up often too, with Azure and AWS, plus the usual DevOps layer like Docker, CI/CD, and infrastructure tooling.

AI consulting is part of that same delivery mindset. We help teams figure out where AI can actually help, then design and implement AI-driven services using C# and Python. Sometimes it is a machine learning feature inside a product. Sometimes it is automation around a workflow that has too many manual steps. And yes, we provide AI consulting in Stockholm, Sweden. Usually teams that want AI to connect cleanly into their existing systems, data stores, and day-to-day processes. It is rarely about one model in isolation. It is about how the model behaves when real users click real buttons.

Our typical clients are mid-size businesses, but the work style matters more than the org chart. We fit best with agile, remote-friendly teams that want a long-term technology partner, not a short sprint vendor. The industries we see most often include e-commerce, healthcare, fintech, logistics, manufacturing, and SaaS. A lot of the projects land in that middle budget range where you need solid architecture, clear communication, and enough flexibility to adjust when requirements move a little. Because they always do.

Key Highlights: 

• Full-cycle delivery that blends software engineering with AI consulting work
• Strong alignment with .NET and C# ecosystems, plus Python for AI-driven services
• Comfort with integrations across CRMs, ERPs, payments, and custom APIs
• Practical cloud and DevOps habits that support stable rollout and maintenance

Services: 

• Machine learning features built into web platforms and internal systems
• AI-assisted workflow automation connected to existing business processes
• Custom software and web development for modernization and scaling
• Cloud migration and infrastructure support across Azure and AWS
• AI consulting for use case scoping, feasibility checks, and delivery planning
• API development and third-party integrations across core business tools

Contact Information:

• Website: oski.site
• E-mail: contact@oski.site
• LinkedIn: www.linkedin.com/company/oski-solutions
• Address: Estonia, Tallinn, Kaupmehe tn 7-120, 10114
• Phone: +48571282759

 

 

 

 

2. Violet AI

Violet AI works like a specialist team brought in when an organization wants to move from AI curiosity to something that actually runs in daily operations. The work usually starts with AI consulting: sorting out the real business question, checking the data situation, and deciding what is realistic in a first phase. From there, the team builds machine learning models, connects them to the surrounding systems, and helps push the result into production. Model Ops shows up as a practical layer too - monitoring, maintenance, and tuning so models do not quietly drift off course. There is also a clear data side to the consulting, including data management, business intelligence, and advanced analytics. Small detail, but important: automation is treated as part of the same toolbox, not a separate world.

Practical Highlights:

• Model Ops work focused on maintaining models after launch
• AI consulting that spans strategy, prototyping, and production rollout
• Data management and BI support for messy, distributed datasets
• Automation projects combining AI with process tooling

What The Team Covers:

• Machine learning model development and deployment support
• Model monitoring, maintenance, and performance tuning
• AI discovery and strategy workshops
• Data engineering, data management, and analytics pipelines
• Business intelligence and reporting setup
• Intelligent automation and process streamlining

Contact Details and Enquiries:

• Website: www.violet.ai
• E-mail: hello@violet.ai
• LinkedIn: www.linkedin.com/company/violet-ai
• Address: Kungsgatan 26 111 35 Stockholm, Sverige

 

3. Codon Consulting

Codon Consulting approaches AI consulting with a strong focus on systems that behave predictably, not just prototypes that look good in a demo. The consulting tends to lean into reliability and explainability, which matters when models are used in regulated or safety-sensitive environments. Industry work shows up repeatedly across manufacturing, process-heavy operations, property-related use cases, and life sciences. The overall feel is engineering-first, with a bias toward controllable models and clear decision logic.

In delivery, Codon often frames engagements around concrete operational problems: digitizing documents, extracting structure from scanned material, or making sense of sensor-driven environments. That kind of work usually blends data preparation, model selection, and integration into existing workflows. Project examples point to applied computer vision and OCR as well as multimodal data setups for building and facility intelligence. It is not a one-size template - the consulting shifts based on the domain constraints and the data that is actually available.

Strong Notes:

• Emphasis on reliable and interpretable AI systems
• Experience with operational AI in industrial and property settings
• Applied work in OCR and document digitization

Core Offerings:

• AI strategy and feasibility assessment
• Design of controllable and explainable model approaches
• Production-grade data science and ML engineering
• OCR and document intelligence solutions
• Predictive and optimization modeling for operations
• Integration support for AI into existing systems

Business Contact Details:

• Website: www.codon.se
• E-mail: info@codon.se
• LinkedIn: www.linkedin.com/company/codon-consulting

 

4. Redmind

Redmind brings AI consulting in through product work, so the conversation often starts with what a team is trying to build, not just what model to train. Sometimes it begins with a workshop-style exploration session. Simple. Direct. The goal is to map the problem, test assumptions fast, and avoid building an AI feature that nobody uses.

A practical pattern shows up in how engagements are staged: proof of concept first, then an MVP, then scaling once the signal looks real. The proof of concept phase is treated as hypothesis testing, with a prototype delivered quickly so teams can see where the edge cases hide. From there, the consulting shifts into production work: stabilizing the solution, connecting it to real user flows, and helping it go live.

The AI work itself often centers on applied use cases like domain-specific chatbots, retrieval from internal documents, and LLM-based assistants built around curated sources. There is also support for turning an AI capability into a usable app experience, including templates and product engineering around the model. It reads as a mix of consulting and building - less slide-deck, more hands-on delivery.

Focus Points:

• AI consulting connected to product design and delivery
• Structured path from prototype to production-ready MVP
• Experience with domain chatbots and LLM-driven assistants
• Support for integrating AI into apps and user workflows

Service Mix:

• Proof of concept builds for rapid hypothesis testing
• MVP delivery and production rollout support
• AI workshops and problem framing sessions
• Domain chatbot development using selected sources
• LLM assistant design and integration into products
• Ongoing iteration, scaling, and refinement of AI features

Key Contacts:

• Website: www.redmind.se
• E-mail: hello@redmind.se
• Facebook: www.facebook.com/Weareredmind
• LinkedIn: www.linkedin.com/company/redmind-ab
• Instagram: www.instagram.com/weareredmind
• Address: Skomakargatan 34, 111 29 Stockholm
• Phone: +46 08-23 08 10

 

5. Catapult AI

Catapult AI supports teams that want to use AI in a way that survives beyond the first demo. The work is framed as AI consulting, with practical steps like spotting realistic use cases, checking data readiness, and shaping a plan that fits how the business actually runs. A typical engagement can include an AI maturity assessment, decision support on governance, and guidance on what to build first versus what to park for later. From there, consulting often moves into implementation - turning ideas into working workflows, integrating models or AI tools, and setting up ways to measure whether the change helped. Training is part of the mix as well, usually delivered as hands-on workshops aimed at day-to-day adoption. Nothing mystical. Just structured work.

What Makes Them Worth A Look:

• Support for AI governance, risk, and responsible use practices
• Workshops designed to build internal confidence with AI tooling
• Ongoing optimization to keep solutions stable over time

Services Cover:

• AI readiness reviews and maturity assessments
• Use case discovery and prioritization for AI initiatives
• AI implementation guidance and delivery support
• Security, ethics, and governance frameworks for AI programs
• Training sessions and workshops for operational teams
• Continuous improvement and monitoring of deployed AI solutions

Contact:

• Website: catapult-ai.com
• E-mail: info@catapult-ai.com
• LinkedIn: www.linkedin.com/company/catapult-ai
• Instagram: www.instagram.com/catapultai_thejourney
• Address: Sankt Göransgatan 78 112 38 Stockholm Sweden

 

6. Algorithma

Algorithma focuses on AI consulting built around agentic systems, where AI is set up to handle end-to-end tasks rather than single prompts. A lot of the work reads like operational change management: deciding which workflows can be automated, designing the agent behavior, then wiring it into the tools teams already use. It is not only about building - it is also about running, which matters when agents touch customer support, case handling, or other live processes. Short version: consulting plus operations.

Another useful detail is the way engagements lean on practical delivery cycles, with early prototypes and iterative refinement instead of one long build phase. The service emphasis includes connecting agents to integrations and making sure outputs stay consistent across channels like chat, email, or internal queues. There is also a platform angle, suggesting repeatable patterns for deploying agents across multiple workflows. Calm and methodical. Not flashy.

Standout Qualities:

• Hands-on delivery that includes rollout and ongoing operations
• Focus on integrating agents with existing tools and processes
• Iterative approach for testing and refining real use cases

What They Offer:

• Agentic AI design for business workflows
• AI consulting for process selection, scoping, and feasibility
• Implementation support for integrations and operational rollout
• Ongoing oversight for agent performance and reliability
• Use case expansion across support and case management functions
• Practical enablement for internal teams working alongside AI agents

Contact:

• Website: www.algorithma.ai
• E-mail: allie@algorithma.se
• Address: Sveavägen 59 113 59 Stockholm Sweden

 

7. Galeyo

Galeyo comes across as a product and engineering partner that treats AI consulting as part of broader digital delivery. The consulting side often starts with workshops and strategic discussions to unpack where AI fits, what is possible, and what is noise. Then comes analysis and planning - mapping workflows, defining scope, and shaping an MVP that can be tested without overbuilding. It feels grounded. No drama.

A second layer is prototyping and MVP development, where AI capabilities are tested early and tied to user experience decisions, not bolted on at the end. This can include AI integration into existing products, or new builds where AI is one of several components. Sometimes the work is small. Sometimes it grows. The style stays structured.

After launch, the support side is treated as a normal part of the engagement, not an afterthought. That includes performance monitoring, product analytics, and iterative improvements as models, features, and user needs change. Quiet maintenance work, basically. The kind that keeps things running.

Why People Choose Them:

• MVP-oriented approach for testing AI ideas early
• Support for AI integration into custom digital products
• Ongoing monitoring and iteration after release

Core Strengths:

• Vision workshops and knowledge sessions around AI adoption
• Process analysis, workflow design, and scope definition
• AI prototyping and MVP development support
• Solution architecture and AI integration into products
• Performance monitoring and product analytics for AI features
• Continuous maintenance and feature evolution over time

Contact Details:

• Website: www.galeyo.com
• E-mail: info@galeyo.com
• Facebook: www.facebook.com/wearegaleyo
• LinkedIn: www.linkedin.com/company/wearegaleyo
• Instagram: www.instagram.com/lifeatgaleyo
• Address: Hägerstensvägen 97A
126 49 Stockholm Sweden
• Phone: +46 703975446

 

8. iAvva AI

iAvva AI sits in that practical space where AI consulting meets day-to-day execution. Not theory. The focus is usually on helping teams introduce AI into real workflows - the kind with handoffs, approvals, and messy inputs. Work often starts with scoping and prioritization, then moves into building small pilots that are meant to be tested quickly, adjusted, and only then expanded. A lot of attention goes to adoption, because a model that nobody trusts does not last long. The consulting tends to blend strategy, workflow design, and hands-on implementation support so the AI piece actually sticks.

What They’re Good At:

• Support for AI integration into everyday tools and processes
• Practical guidance on rollout, training, and adoption
• AI consulting that connects business goals with concrete workflows
• Iteration cycles that test assumptions early

Services Include:

• AI discovery and use case scoping
• Workflow automation planning with AI components
• Implementation support for pilots and internal tools
• Enablement sessions for teams using AI in operations
• Ongoing tuning and refinement of deployed solutions

Company Contact Details:

• Website: iavva.ai
• Facebook: www.facebook.com/avvathach 
• Twitter: x.com/thivathach
• LinkedIn: www.linkedin.com/in/avvathach
• Instagram: www.instagram.com/avvathach

 

9. ART25 Consulting

ART25 Consulting approaches AI consulting from the governance side, which is a different kind of work, but still very hands-on. The focus sits around how AI systems are controlled, documented, and monitored once they start affecting real decisions. That includes translating regulatory requirements into policies and operating routines that people can follow without reading a hundred-page document. In practice, it looks like setting clear roles, accountability paths, and review steps so AI does not become a blind spot.

A strong theme is bridging legal, technical, and operational realities. One day the discussion is about risk, transparency, and oversight. The next day it is about how to run impact assessments, set up an AI management system, or train staff who will approve or use AI tools. The consulting feels geared toward organisations that need order and traceability, not just speed. Quiet work. Important work.

Why They Stand Out:

• Experience with impact assessments and management system implementation
• Strong overlap between data protection, security, and AI risk work
• Training formats that build practical AI literacy across roles

Their Focus Areas:

• ISO-oriented AI management system implementation support
• AI impact assessments and fundamental rights risk work
• External AI officer style advisory support
• AI literacy and role-based training programs
• AI governance gap analysis and response planning
• Data protection advisory linked to AI initiatives

Contact Details and Enquiries:

• Website: www.art25consulting.com
• E-mail: info@art25consulting.com
• LinkedIn: www.linkedin.com/company/art25consulting

 

10. Qualysoft

Qualysoft brings AI consulting as part of a broader engineering and IT consulting setup, so the work often starts from systems, not slogans. The AI side covers familiar areas like machine learning, predictive analytics, and decision support, but it usually connects back to data architecture and integration. Short version: models plus the plumbing around them. That matters, because AI projects tend to fail in the pipes.

A typical engagement can look like filling a specific capability gap, or forming a dedicated delivery team, or running a managed delivery where the client keeps strategic control while execution is handled end to end. The AI consulting component can include assessing where AI fits, selecting approaches, and designing how the solution will run in production. Then comes the building work. There is also a clear data and analytics layer, including governance, reporting, and visualization, which helps keep AI outputs interpretable for business users.

The service catalogue reads as enterprise-oriented and structured, with room for different delivery models depending on how much internal capacity the client has. Some projects stay narrow, like improving forecasting. Others expand into cloud, DevSecOps, or modernisation when the AI initiative exposes older bottlenecks. It is that familiar chain reaction. One fix leads to another.

Standout Qualities:

• Coverage across ML, predictive analytics, and generative AI workstreams
• Strong emphasis on data architecture, governance, and analytics foundations
• Ability to integrate AI work with cloud, DevSecOps, and systems modernization

Core Offerings:

• Machine learning solution design and implementation support
• Predictive analytics and forecasting model development
• Generative AI use case exploration and prototyping
• Data engineering, governance, and reporting enablement
• AI strategy assessment and opportunity mapping
• Integration, automation, and production rollout support

Key Contacts:

• Website: qualysoft.com
• E-mail: mikael.niva@qualysoft.com
• Address: Storgatan 16, 114 52 Stockholm, Sweden
• Phone: +46 73 634 56 46

 

11. Knowit

Knowit is a consulting group that blends AI work with broader digital and data advisory, so AI consulting rarely shows up as a standalone experiment. The usual starting point is practical: shaping use cases, checking data foundations, and deciding what level of automation or prediction is actually worth building. From there, teams support model development and implementation, with attention to responsible AI and how decisions get explained to business owners. Analytics and business intelligence sit close to the AI work, which helps when stakeholders want clearer reporting, not just a model score. The delivery style feels structured, with consulting that covers both the technical side and the change work needed for adoption.

Why They Stand Out:

• Responsible AI practices built into advisory work
• Strong overlap between analytics, BI, and applied machine learning
• Support that spans planning, implementation, and ongoing improvement

What They Offer:

• Machine learning solution design and rollout support
• Responsible AI guidance and governance support
• Advanced analytics and BI enablement
• Data platform and integration advisory
• AI consulting and AI roadmap planning
• Automation support using AI-driven approaches

Contact Details:

• Website: www.knowit.se
• E-mail: info@knowit.se
• Facebook: www.facebook.com/weareknowit
• LinkedIn: www.linkedin.com/company/knowit
• Instagram: www.instagram.com/weareknowit
• Address: Box 3383 103 68 Stockholm Sverige Besök oss: Sveavägen 20
• Phone: 08 700 66 00

 

12. ADC Consulting

ADC Consulting works with organisations that want data and AI to behave like a real capability, not a one-off project. AI consulting here often starts with strategy, but it quickly moves into building the actual platforms and ways of working needed to scale. There is a clear focus on governance and operating models, which sounds dry, but it is the part that stops initiatives from falling apart after the pilot. The work tends to be end-to-end, from vision through delivery, with attention to measurable outcomes and long-term ownership.

A noticeable theme is combining data science with the systems around it. That includes the data layer, the platform choices, and the processes that keep models reliable once they are live. Consulting can also cover industry-specific problem solving, where analytics, optimisation, or forecasting tie back to operational decisions. In many cases, the aim is to help teams build repeatable patterns, so the next AI use case is easier than the first. Slow at the start, faster later. That is usually the point.

What They Focus On:

• Strong attention to governance, change, and scalable ways of working
• Platform thinking for data and AI systems that run in production
• AI consulting that links strategy to build and deployment
• Applied analytics for operational decision-making and forecasting

Services Include:

• Data and AI platform design and deployment support
• Model development and production scaling support
• Governance frameworks and operating model setup
• Advanced analytics for forecasting and optimisation
• AI strategy and transformation planning
• Enablement support for teams adopting AI workflows

Contact Details and Enquiries:

• Website: adc-consulting.com
• E-mail: press@adc-consulting.com
• LinkedIn: www.linkedin.com/company/adc-data-and-ai-consultancy
• Address: Sweden Götgatan 22A 118 46 Stockholm
• Phone: +45 42 68 38 66

 

13. Cube2

Cube2 is a small, specialist-style consultancy where AI consulting is used to solve technical problems that do not fit generic templates. The focus leans toward signal-heavy environments, where raw data can be noisy, fast, or hard to interpret. A lot of the work sits around applied machine learning, including anomaly detection and classification that supports real-time decisions. It feels like engineering with a research edge. Direct, not decorative.

Another piece is modelling and analysis for complex physical environments, especially where sensors do most of the talking. That can involve building propagation models, running simulations, and creating processing pipelines that handle high volumes without losing detail. AI is part of the toolkit, but not the only tool. Sometimes the best answer is better modelling, not a deeper neural net.

The consulting delivery usually blends analysis, optimisation, and implementation support, which makes sense when the problem lives inside a system, not inside a slide deck. Work can include tuning algorithms, validating results with domain data, and helping teams operationalise the solution. Small steps matter here. Clean inputs, clear assumptions, repeatable outputs.

Standout Qualities:

• Applied ML for anomaly detection and classification in complex systems
• Strong mix of modelling, simulation, and high-performance processing
• Focus on validation and operational reliability, not only prototypes

Core Offerings:

• Anomaly detection and classification model development
• Sensor data processing pipeline design and optimisation
• Simulation and propagation model development
• Algorithm tuning and performance validation support
• Integration guidance for deploying analytics into operational workflows

Contact:

• Website: cube2.io
• E-mail: info@cube2.io
• LinkedIn: www.linkedin.com/company/cube-squared-ab

 

14. nVisage

nVisage works as an applied consulting studio where AI consulting is closely tied to business decisions, not just model building. The work often starts with data clarity - what exists, what is missing, what can be trusted - then moves into AI and machine learning design that supports real operations. There is a noticeable emphasis on responsible use and long-term stability, so solutions do not feel brittle once they reach production. Some projects sit closer to advanced analytics and forecasting, others lean into intelligent automation when the data is strong enough. The consulting approach also connects AI with broader organisational change, so adoption and governance do not get treated as an afterthought. Practical, structured, and usually grounded in what can be delivered.

Standout Qualities:

• Responsible AI and risk-aware design baked into delivery
• Range from foundational analytics to intelligent automation
• Support for planning, implementation, and ongoing refinement

Service Lines:

• Data and AI/ML solution design for business use cases
• Predictive analytics and decision support model development
• AI opportunity mapping and roadmap planning
• Intelligent automation using AI-driven workflows
• Model monitoring practices and operational handover support
• Data foundation work for analytics and reporting

Key Contacts:

• Website: nvisage.co
• E-mail: consult@nvisage.co
• Facebook: www.facebook.com/people/NVisage/100077274277702
• LinkedIn: www.linkedin.com/company/nvisageco 

 

15. Mindified

Mindified is an AI-focused consultancy that helps organisations move from ideas to working AI systems. The consulting usually begins with a clear question: what should AI handle, and what should stay manual. Short meetings. Whiteboards. Sometimes a quick prototype.

A lot of the work is full-cycle. Data collection and handling, algorithm development, and then implementation and deployment once the approach is proven. The services also include workshops and training, which can be useful when internal teams need to understand the basics without getting dragged into academic detail.

Project work often looks applied rather than experimental. Think document and data processing, pattern finding in operational data, and building applications where AI sits inside the product instead of being bolted on later. There is also experience with analysis and visualization, which helps when stakeholders want to see what changed, not just hear about accuracy.

What Makes Them Unique:

• End-to-end AI consulting from ideation to deployment
• Practical delivery across data handling, modelling, and integration
• Workshops and training designed for mixed technical audiences
• Applied focus on AI inside real business applications

What They Offer:

• AI ideation sessions and feasibility reviews
• Data preparation, processing, and pipeline setup for AI projects
• Machine learning model development and validation support
• Solution implementation and production deployment guidance
• AI-powered application development and integration support
• Workshops and training for teams adopting AI tools

Contact Details and Enquiries:

• Website: www.mindified.com
• E-mail: info@mindified.com
• Facebook: www.facebook.com/Mindified
• LinkedIn: www.linkedin.com/company/mindified
• Instagram: www.instagram.com/mindified
• Address: Götgatan 22A, 118 46 Stockholm, Sweden
• Phone: +4 6 8518 383 61

Conclusion

The AI consulting market no longer feels niche. It has become a practical business tool - from forecasting and analytics to process automation and customer support. The logic is simple: once AI moves into operational decisions, mistakes get expensive, and the quality of implementation matters more than a polished demo.

The companies featured here offer different options for different goals and tempos. That helps. It becomes easier to match a partner to a pilot, a longer transformation, or a focused integration. The key is choosing a team that fits the working style and can carry AI all the way to a real outcome.