Top 10 AI & Machine Learning Development Firms in Poland

Many organizations that need AI and machine learning development struggle to evaluate vendors on technical expertise, model lifecycle management, data governance, integration, and long-term operational support. Buyers should weigh model performance and robustness, deployment and MLOps capabilities, domain experience, compliance with data protection rules, team composition, scalability, and commercial terms when choosing a partner.

SoftPro is the featured international partner leading this list and serves buyers in Poland across AI and machine learning development projects. Review SoftPro alongside the other firms below against the criteria above to identify the partner that matches your technical requirements and delivery expectations.

1. SoftPro

As the featured international partner on this Top 10 list, SoftPro leads the roundup of AI and machine learning development firms in Poland for readers seeking reliable delivery partners. The company operates from Warsaw, Poland and takes on projects from early-stage startups to enterprise engineering teams, delivering cloud-native ML integrations and production-grade AI systems across Poland and international markets.

Development work centers on .NET, .NET Core and C# with Azure-hosted architectures, enterprise CMS migrations and long-term maintenance for legacy modernization. The team integrates LLMs, implements retrieval-augmented generation pipelines and develops ML models that connect AI to ERP and CRM systems for actionable business workflows.

Key Highlights

• Over 20 years of combined team experience across projects and engagements.
• Multi-cloud delivery with Microsoft Azure and AWS, including lift-and-shift migrations and containerization for legacy systems.
• AI capabilities that include LLM integration, retrieval-augmented generation (RAG) pipelines and production ML model deployment tied to business systems.
• Case studies span business portals, CRM/HRM systems, SaaS ETL platforms and enterprise support systems.

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. RTB House

RTB House runs a deep learning-powered demand-side platform that powers programmatic advertising and performance retargeting across web and app campaigns. The platform integrates into existing marketing stacks to automate bidding and apply ML-driven signals to campaign delivery.

The company builds on first-party signals and proprietary machine learning models to identify non-obvious converters and automate personalized creative at scale. This combination of in-house ML, large-scale compute, and campaign automation aligns RTB House with AI and machine learning development work rooted in production adtech systems.

Key Highlights

• The Quality Traffic product explicitly uses LLM-powered audiences to refine mid-funnel traffic quality.
• The platform delivers shoppable creative with personalized product recommendations across the purchase journey.
• Homepage performance figures shown on the site include: 57% added scale at set ROAS, 61% of purchased products were not previously viewed, and 0% selling or sharing of proprietary data.
• The contact page lists global offices including Warsaw and Cracow in Poland plus New York, London, Tokyo, and São Paulo.

Services

• Personalized Retargeting
• Acquisition
• Quality Traffic
• Self-Service

Contact Information

Website: rtbhouse.com

Phone: +48 539 093 233

Email: dpo@rtbhouse.com

Address: Puławska 182 02-670 Warsaw, Poland

Address: RTB House S.A., 61/101 Złota Street 00-819 Warsaw, Poland

3. deepsense.ai

deepsense.ai is a Poland‑rooted applied AI engineering firm that designs, builds, and operationalizes AI agents, enterprise knowledge systems, and AI infrastructure for production deployments. They combine engineering, product and workflow design to integrate AI systems with core data and business processes so organizations can operate AI at scale.

Their delivery model pairs technical implementation with product-focused adoption work to move proofs of concept into reliable, monitored production systems. This focus on production delivery and integration makes them a relevant choice for AI and machine learning development projects in Poland.

Key Highlights

• deepsense.ai reports 200 commercial AI projects completed.
• The firm employs around 120 AI experts.
• deepsense.ai is listed on the site as both an Anthropic Service Partner and an OpenAI Services Partner.
• The company announced a Google Cloud partnership that includes a dedicated Gemini Enterprise practice.

Services

• AI Advisory & Adoption
• MLOps
• Computer Vision
• Edge Solutions

Contact Information

Website: deepsense.ai

Address: 2100 Geng Road, Suite 210, Palo Alto, CA 94303, United States of America

Address: al. Jerozolimskie 44, 00-024 Warsaw, Poland

4. Tooploox

Tooploox is an AI-first software development firm that builds custom machine-learning and generative-AI features inside web, mobile, and complex digital products. The company combines full-cycle product engineering with applied ML research to move models from prototype to production-ready systems.

Tooploox positions its teams to deliver end-to-end AI solutions that pair product design, data engineering, and model deployment under one roof. This delivery orientation and Solvd affiliation aim to give enterprises repeatable governance and scale for AI initiatives.

Key Highlights

• Works with major model and platform providers listed on the company site, including OpenAI, Amazon, Google, Stable Diffusion, Cohere, and Antrophic.
• Active R&D presence with publications and conference contributions spanning ICML, NeurIPS, ECAI, and MICCAI as documented in company research and blog posts.
• Proven domain case work in medical imaging and digital histopathology through the VIRTUM project, demonstrating production-focused AI for healthcare workflows.

Services

• AI Development
• Generative AI
• Machine Learning
• AI Research

Contact Information

Website: tooploox.com

Email: contact@tooploox.com

Address: Tooploox Sp. z o.o., ul. Tęczowa 7, 53-601 Wrocław, Poland

Address: ul. Cicha 7, 00-353 Warszawa, Poland

LinkedIn: linkedin.com/company/tooploox (tooploox.com)

5. Infermedica

Infermedica builds a Medical Guidance Platform that combines a statistical inference engine with a curated medical knowledge base to perform AI-driven symptom assessment and care triage. The platform ingests free-text and structured inputs, returns differential conditions and triage recommendations, and is designed to integrate into digital front doors, call centers, and clinician workflows.

Development teams can embed Infermedica’s clinical reasoning into chat, voice, and intake experiences while keeping inference logic separate from the client UI. That engineering approach and an auditable medical knowledge base position the company as a practical partner for AI and machine-learning development focused on production-ready clinical models and regulated delivery.

Key Highlights

• Medical Guidance Platform (MGP) is certified as a Class IIb medical device under the EU MDR and is registered with the UK MHRA.
• Certified to ISO 13485:2016 for medical devices and ISO 27001:2022 for information security, with documented HIPAA, GDPR, and SOC 2 Type II compliance.
• Deployed with 100+ healthcare organizations across 35+ countries and available in 26 languages.
• Medical Knowledge Base exposes SNOMED CT mappings so clinical concepts can be aligned with external health systems.

Services

• Certified AI Triage
• Conversational Triage
• Voice Agent
• Intake

Contact Information

Website: infermedica.com

Address (Poland): Plac Solny 14/3, 50-062 Wrocław, Poland

Address (United States): 1580 N Logan St Ste 660, PMB 81145, Denver, CO 80203, USA

Sales: sales@infermedica.com

Support: support@infermedica.com

Press: press@infermedica.com

Office: office@infermedica.com

DPO: dpo@infermedica.com

6. Sii Poland

Sii Poland builds and integrates AI and machine learning systems for enterprise customers, turning proofs of concept into production services across data-driven use cases. Their delivery approach emphasizes reproducible pipelines, model operationalization, and governance to ensure solutions scale inside existing enterprise stacks.

The company pairs data science, MLOps, and software engineering to embed intelligent features into business workflows while focusing on operational scalability and compliance. This makes Sii a relevant choice for organizations seeking end-to-end ML delivery from pilot to production.

Key Highlights

• 350+ AI specialists and industry experts listed on the company’s AI pages.
• 70+ AI production deployments across multiple industries reported by Sii.
• Microsoft Solutions Partner relationship established since 2009 and Google Cloud partner since 2021 according to the partnerships section.
• ISO 27001 and ISO 9001 certifications available in Sii’s published certificates library.

Services

• Data Science
• Generative AI
• Agentic AI
• AI Transformation

Contact Information

Website: sii.pl

Phone: +48 22 486 37 37

Address: Sii Sp. z o.o., Aleja Niepodległości 69, 02-626 Warsaw, Poland

7. Future Processing

Future Processing is a Polish technology consultancy and software delivery partner that builds and productionises AI and machine-learning systems for tasks such as natural language processing, image analysis, predictive analytics, and time-series modelling. The company focuses on integrating models into cloud-native architectures and operational pipelines so business users can access reliable, measurable AI capabilities in production.

The firm applies an outcome-based, AI-enabled advisory and delivery framework and maintains an in-house R&D practice that develops AI accelerators to speed model validation and deployment. Delivery emphasizes measurable success metrics, continuous monitoring, and handover practices tailored for regulated and enterprise environments.

Key Highlights

• The company was founded in 2000.
• Future Processing is an AWS Advanced Tier Services Partner and holds the AWS Cloud Operations Competency in Cloud Financial Management.
• The firm holds ISO 27001 and ISO 9001 certifications.
• Future Processing has been a Microsoft Partner since 2007 and is also listed as a Google Cloud Partner.

Services

• AI & ML Solution Delivery
• Data Science & Engineering
• Cloud Migration & Modernization
• Managed Services

Contact Information

Website: future-processing.com

Phone: +48 32 461 23 00

Email: sales@future-processing.com

Address: Bojkowska 37a, 44-100 Gliwice, Poland

LinkedIn: linkedin.com/company/future-processing

8. STX Next

STX Next is a Poznań-based engineering consultancy that builds production-grade AI and machine learning systems for enterprise and regulated industries. The firm applies a Python-first engineering practice to move models from experiment into operational software with explainability and monitoring delivered as working code.

The company uses short, fixed-price discovery sprints and embedded delivery teams that push software straight to clients’ repositories instead of handing over experimental notebooks. Deployments support on-prem, hybrid, or cloud configurations to meet industry regulations and customer infrastructure constraints.

Key Highlights

• Founded in 2005 and headquartered in Poznań, Poland.
• 450+ specialists and 1,000+ projects delivered worldwide.
• Scaled to AWS Advanced Tier Partner status and holds official partnerships with Snowflake and Databricks.
• Production MLOps and platform stack examples include MLflow, Databricks, Snowflake, Airflow, AWS SageMaker, GCP Vertex AI, Docker, and Kubernetes.

Services

• Machine Learning Development
• MLOps & Platform Engineering
• NLP & Document Processing
• AI-Augmented Software Development

Contact Information

Website: stxnext.com

Email: business@stxnext.com

Address (HQ): ul. Mostowa 38, 61-854 Poznań, Poland

Delivery Center (Merida): C.11 310 Col. Santa Gertrudis Copo, Merida, 97305, Mexico

Office (London): 10 York Rd, London SE1 7ND, United Kingdom

Office (Eschborn): c/o Rödl RAe, Taunus Tower, Mergenthalerallee 73-75, 65760 Eschborn, Germany

Office (Houston): City Place 1401 Lake Plaza Dr, Ste. 200, Spring, TX 77389, United States

LinkedIn: linkedin.com/company/stx-next-ai-solutions

([stxnext.com](https: //www.stxnext.com/?utm_source=openai))

9. Netguru

Netguru is a Polish software consultancy that integrates machine learning, data engineering, and product design to add AI-driven features to enterprise and scale-up products. The company works across NLP, computer vision, predictive analytics, and custom model development while aligning models to product workflows and existing engineering stacks.

Netguru staffs cross-functional teams of data scientists, ML engineers, and backend developers to move validated prototypes into monitored production systems with API integrations and model lifecycle practices. This delivery focus helps clients embed automated decisioning and personalization into both customer-facing applications and internal platforms.

Key Highlights

• Free 6-hour AI Exploration Workshop that produces a tailored adoption roadmap and feasibility assessment.
• Two-day AI Solution Design Sprint to translate concepts into implementable designs with integration and governance plans.
• An AI Pod offering positioned to deliver “Production AI in Weeks” for fast end-to-end development and handover.
• Delivered an enterprise AI assistant for Merck in five weeks using LangChain alongside Azure OpenAI and AWS infrastructure.

Services

• AI Proof-of-Concepts
• Generative AI & RAG
• MLOps & Model Lifecycle
• Data Annotation

Contact Information

Website: netguru.com

Email: hello@netguru.com

Address: Nowe Garbary Office Center, Małe Garbary 9, 61-756 Poznań, Poland

LinkedIn: linkedin.com/company/netguru

([netguru.com](https: //www.netguru.com/contact))

10. Ardigen

Ardigen builds, trains, and scales AI-powered data products and agentic systems that translate multimodal biomedical data into decision-ready foundations for drug discovery and development. Its site highlights a technology portfolio that includes an ArdiOn AI engine and research-grade models accompanied by named modules such as phenAID, Targets, Biologics, and Biomarkers.

Engagements span the entire data-to-decision lifecycle from data sourcing, FAIRification, and curation through model development, validation, and production deployment, delivered as integrated solutions rather than one-off reports. This delivery model and emphasis on production-ready machine learning make Ardigen relevant to pharmaceutical and biotech teams that need ML systems connected to governed data pipelines and validated discovery outputs.

Key Highlights

• Homepage features client testimonials that name Boehringer Ingelheim, Genomics England, Sutro Biopharma, Abbott, and Evonik.
• The site lists a guaranteed outreach timeline: initial contact within 24 hours and message replies within 48 hours.
• Ardigen shows offices in Kraków (Poland), South San Francisco (CA), and Cambridge (MA) with local phone numbers listed.

Services

• Data Product Development and Engineering
• AI Infrastructure & Engineering
• Drug Discovery Computational Services
• Research Environment

Contact Information

Website: ardigen.com

Address: 611 Gateway Boulevard South San Francisco, CA 94080 USA

Phone: +1 628 200 09 14

Address: One Broadway, 14th Floor, Cambridge, MA 02142, USA

Phone: +1 628 200 09 14

Address: Sternbacha 1, 30-394 Kraków, Poland

Phone: +48 12 340 94 94

Conclusion

This list, with SoftPro noted as the featured international partner, highlights a range of Polish AI and machine-learning vendors suited to different project needs. To choose a provider, match your priorities to practical criteria: domain and regulatory experience, demonstrated production deployments, MLOps and reproducibility practices, and the ability to integrate with your existing data and engineering stack.

Also weigh technical preferences and scale requirements, including preferred languages and frameworks, data engineering maturity, and experience with multimodal or biomedical data when relevant. Shortlist firms that can show relevant references and a clear delivery process, and engage SoftPro if you want the featured international partner called out in this roundup.