Top 10 AI-Driven Software Companies in 2026

Boldare

• Company size: 70 professionals
• Founded: 2004
• Website: https://www.boldare.com

Human-first, AI-augmented digital product builders

Founded in 2004, Boldare is a Polish software consultancy delivering custom software development, product design, and AI-augmented engineering services for companies operating across Europe and global markets. The company supports organizations throughout the entire digital product lifecycle - from MVP development and product-market fit to scaling platforms and entering new markets.

Boldare combines strong software engineering foundations with the practical adoption of AI technologies in software delivery. Its teams work within agile, cross-functional setups, aligning technical execution with business and product goals.

AI in Software Development & Daily Coding Practices

Boldare actively integrates AI into daily coding practices and delivery workflows. Engineering teams use AI-assisted coding, AI-supported debugging, automated code reviews, and intelligent code completion to improve efficiency and maintain consistent code quality.

AI-powered development tools are applied across development, testing, and delivery processes to:

• automate repetitive tasks
• streamline workflows
• enhance coding processes
• improve code quality and maintainability
• accelerate development cycles

The company approaches AI as a coding partner that supports developers rather than replaces them, reinforcing human-AI collaboration in software engineering and enabling teams to focus on higher-value problem solving.

Software Development Services & Technical Expertise

Boldare delivers bespoke software solutions tailored to specific business needs. Its service offering includes:

• custom software development
• AI-powered and AI-supported development
• product design & UX/UI
• legacy modernization and system migrations
• architectural optimization
• large-scale integrations
• cloud-based and scalable infrastructure

Projects are delivered using technologies such as React, Node.js, PHP, Java, and AWS, supporting both new product development and modernization of existing systems for midsize and large tech companies.

Trusted by Global Clients

Boldare works with international and European companies across a wide range of industries, supporting long-term digital product development and technology modernization initiatives. Client collaborations often emphasize transparent communication, close cooperation with internal teams, and consistent focus on product and technical goals.

The company’s client portfolio includes BlaBlaCar, Bosch, Decathlon, Sonnen, Prisma, and e.l.f. Cosmetics, representing sectors such as renewable energy, fintech, retail, SaaS, and public services.

InoXoft

• Company size: 100 - 249 professionals
• Founded: 2014
• Website: https://inoxoft.com/

Data-centric and AI-enabled software engineering for complex digital products

InoXoft is a software development company specializing in building data-intensive and AI-enabled digital products for companies that operate in complex, regulated, or rapidly evolving environments. The company works with organizations that rely heavily on structured and unstructured data, advanced analytics, and intelligent system behavior to support business-critical processes.

Rather than positioning itself as a pure AI vendor, InoXoft approaches AI as an embedded capability within software systems - applied where automation, prediction, or intelligent data processing directly improves how products function in real-world scenarios. This perspective aligns closely with modern AI-driven software development, where intelligence is part of the architecture, not a separate layer.

InoXoft’s engineering teams focus on integrating AI technologies into backend systems, data pipelines, and application logic, supporting use cases such as data aggregation, predictive features, and intelligent automation. AI is introduced alongside strong software engineering practices, ensuring that systems remain scalable, maintainable, and understandable as they grow.

The company’s work is closely tied to data engineering and system reliability. Many of its projects emphasize how data flows through platforms, how insights are generated, and how software reacts to changing inputs over time. This makes InoXoft particularly relevant for AI-driven products where accuracy, consistency, and long-term performance matter as much as speed.

InoXoft collaborates with clients across industries such as fintech, healthcare, logistics, SaaS, and enterprise platforms - domains where AI-supported decision-making and intelligent data processing play an increasingly important role. Engagements often involve long-term development, system evolution, and close cooperation with internal client teams.

By combining software engineering expertise with a strong focus on AI-enabled data processing and intelligent system design, InoXoft positions itself as a technology partner for organizations building products where AI is not an experiment, but a functional part of everyday software operations.

Glorium Technologies

• Company size: 250 - 499 professionals
• Founded: 2010
• Website: https://gloriumtech.com/

AI-Driven Engineering and Product Innovation for Complex Enterprise Systems

Glorium Technologies is a software engineering company that focuses on building enterprise-grade digital platforms and AI-driven solutions for organizations requiring advanced technical expertise and scalable digital ecosystems. With a strong foundation in full-stack engineering and strategic product thinking, Glorium helps companies transform business requirements into resilient, intelligent systems.

Rather than offering AI as an isolated capability, Glorium integrates AI technologies into core product functions, particularly in scenarios where machine learning, intelligent data processing, or predictive logic add measurable business value. The company’s engineering teams work closely with clients to identify opportunities where AI can support automation, elevate user experiences, or enrich data-centric functionality in ways that go beyond rule-based software.

Glorium’s approach to AI is grounded in applied software engineering practices. Teams focus on building systems where AI capabilities - such as real-time analytics, intelligent data augmentation, or automated user interaction models - are cohesive elements of the overall architecture, not afterthoughts. This makes Glorium a strong partner for organizations moving from proof-of-concepts to production-ready intelligent systems.

The company’s capabilities span a range of complex engineering requirements including distributed systems, cloud-native platforms, custom integrations, and modular product design. In projects involving AI, Glorium often supports use cases such as smart data ingestion, user behavior insights, and algorithm-supported decision logic - all designed to enhance system adaptability and long-term maintainability.

Glorium Technologies collaborates with clients across multiple industries including fintech, healthcare technology, logistics, and enterprise SaaS platforms. Engagements typically involve deep technical partnership, long-term development cycles, and shared ownership of evolving product roadmaps. The company’s delivery model prioritizes clear communication, incremental value delivery, and iterative refinement of both product features and underlying intelligent capabilities.

By combining robust software engineering expertise with practical AI integration, Glorium positions itself as a partner capable of delivering product solutions where AI enables meaningful improvement in performance, user value, and technical resilience.

ELEKS

• Company size: 1000 & up professionals
• Founded: 1991
• Website: https://eleks.com/

Engineering innovation and AI-enabled transformation for enterprise scale

ELEKS is a global technology company that partners with large enterprises and fast-growing organizations to deliver complex digital solutions enhanced by AI and intelligent automation. With decades of experience in bespoke software delivery, ELEKS supports clients in reimagining core product functions through data-driven insights, machine learning models, and AI-powered features that extend beyond traditional application development.

Rather than treating AI as a standalone add-on, ELEKS embeds AI technologies within its engineering and consulting workflows - identifying areas where artificial intelligence can materially impact outcomes such as operational efficiency, predictive analytics, and automated decision support. This includes integrating machine learning into analytics platforms, building custom models that interpret enterprise-scale data, and applying AI-based pattern recognition to enhance process automation.

ELEKS’s delivery model emphasizes strategic alignment between engineering execution and business value, helping clients not only adopt AI but also integrate it into their broader transformation agendas. Cross-disciplinary teams of engineers, data scientists, and product strategists collaborate with client stakeholders to ensure that AI initiatives are grounded in practical outcomes rather than exploratory experiments.

The company’s engineering expertise covers a wide range of technical domains - from advanced analytics and intelligent data processing to secure integrations and scalable microservices architecture - with AI acting as a catalyst for enabling richer insights and more adaptive systems. Project engagements often include designing AI-augmented systems that help organizations respond to changing business needs, personalize user experiences, or optimize internal operations at scale.

ELEKS works with a diverse portfolio of clients across industries such as finance, healthcare, retail, logistics, and manufacturing, often supporting multi-year transformation programs that combine deep domain knowledge with forward-looking technology adoption. In every engagement, the focus remains on delivering measurable business impact through technology excellence and AI-informed engineering decisions rather than on technology for its own sake.

By anchoring AI capabilities within a strong foundation of software engineering and data expertise, ELEKS helps clients build sustainable, intelligent platforms that support evolving market needs and long-term digital competitiveness.

EffectiveSoft

• Company size: 250 - 499 professionals
• Founded: 2003
• Website: https://www.effectivesoft.com/

End-to-end AI Development and Intelligent Systems for Business Impact

EffectiveSoft is a software engineering firm that helps organizations build AI-powered systems and data-centric applications designed to solve real business challenges. With a foundation rooted in analytical computing and bespoke technology solutions, the company combines AI technologies with core engineering practices to deliver products where intelligence is a functional part of the user experience and business logic.

From its inception, EffectiveSoft has positioned itself at the intersection of software craftsmanship and applied intelligence, tailoring solutions that mix traditional engineering with advanced AI methodologies. The company’s AI development practice emphasizes the integration of machine learning, natural language processing (NLP), and predictive modeling into custom software architectures - enabling systems that can interpret complex inputs, automate decision processes, or generate actionable insights from large data sets.

Rather than offering AI as a theoretical add-on, EffectiveSoft approaches AI as a practical component of product delivery. Its teams work directly with clients to identify where AI can drive meaningful improvement - for example, by automating data classification, enhancing search and recommendation capabilities, or supporting contextual analysis within operational systems. This focus on purposeful AI adoption helps ensure that solutions are not only technically sound but also aligned with measurable business outcomes.

EffectiveSoft’s competencies extend across a wide range of industries including finance, healthcare, telecommunications, logistics, and retail, where AI-enabled applications are leveraged to support processes such as risk evaluation, customer behavior prediction, anomaly detection, and semantic data processing. Projects commonly combine custom data engineering, algorithm enhancement, and tailored user interfaces to deliver systems that users can trust and scale.

In its delivery methodology, EffectiveSoft emphasizes collaboration with client teams throughout the project lifecycle - from initial requirements gathering to iterative development, testing, and deployment. This collaborative engineering process ensures that AI-related features are deeply integrated into the product’s architecture and remain adaptable as business needs evolve.

By combining broad software engineering experience with focused AI development services, EffectiveSoft supports clients in pursuing practical, intelligent digital transformation - building systems where AI contributes directly to solving domain-specific challenges and improving operational effectiveness.

Scalo

• Company size: 500 - 999 professionals
• Founded: 2007
• Website: https://www.scalosoft.com/

Data-first software engineering and intelligent analytics solutions

Scalo is a software engineering company that focuses on building data-driven digital solutions and intelligent analytics platforms for organizations facing complex data challenges. The company combines deep expertise in data strategy, cloud engineering, and AI-related data processing to help clients transform large volumes of raw information into actionable, automated solutions that support business decisions and operational efficiency.

Rather than positioning itself solely as an AI vendor, Scalo emphasizes practical data science and intelligent automation within software systems - using analytical models, algorithmic logic, and data integration pipelines to deliver value where structured insights matter most. Scalo’s approach aligns with the evolving landscape of AI-driven engineering, where data quality, processing scalability, and algorithmic responsiveness are as critical as the models themselves.

In its delivery practice, Scalo works closely with clients to understand data flows, system behaviors, and business outcomes - ensuring that analytics and intelligent components are seamlessly embedded into core applications. This includes designing systems that can handle real-time data streams, orchestrate complex data flows, and support insight generation at scale without disrupting existing operations.

Scalo’s teams bring together engineers, data architects, and product strategists who collaborate with client stakeholders to shape solutions that not only manage large datasets but also incorporate intelligence layers - such as predictive analytics, trend analysis, and automated decision triggers - where they align with business logic. This positions data and intelligence as integrated product features, not external tools.

The company’s expertise spans industries where data complexity and intelligent behavior are key differentiators, including retail, finance, logistics, B2B platforms, and enterprise systems. Scalo supports both greenfield product development and modernization of existing systems that require improved insight extraction, performance optimization, and intelligent automation.

By centering its work on data engineering, analytics-enhanced software, and intelligent process support, Scalo helps clients realize digital platforms where intelligence is a functional part of everyday operations - enabling richer insights, automated responses, and scalable growth in data-intensive environments.

Itexus

• Company size: 100 - 249 professionals
• Founded: 2013
• Website: https://itexus.com/

AI-Enabled Product Engineering and Intelligent Digital Solutions

Itexus is a software engineering partner focused on delivering AI-enabled digital products and customized technology solutions for clients operating in fast-moving markets. With a strong engineering culture and a product-oriented mindset, Itexus works across the lifecycle of software development - from concept validation and MVP delivery to scalable implementations and long-term technical evolution.

The company highlights its emphasis on practical AI adoption within product workflows, integrating machine learning, natural language processing, and predictive capabilities into applications where they deliver measurable benefits. Instead of positioning AI as a theoretical add-on, Itexus applies AI technologies to enhance user experiences, automate key processes, and support intelligent decision support features inside digital systems.

Itexus’s engineering teams work with clients to define clear product goals, identifying areas where AI-related components can improve operational performance or unlock previously inaccessible insights. This includes use cases such as customer behavior prediction, contextual search, real-time data enrichment, and algorithm-assisted classification - features that become integral to how the software performs in production.

In its delivery approach, Itexus combines engineering rigor with an understanding of business value. Data science, software engineering, and UX expertise collaborate closely to ensure that AI-powered functionalities are robust, reliable, and aligned with user needs. This human-centric engineering process helps clients navigate the complexity of creating intelligent systems compatible with existing technology ecosystems.

The company’s portfolio spans industries such as fintech, healthcare, logistics, marketing technology, and enterprise applications, reflecting a broad set of domains where intelligent software plays a strategic role. Across these engagements, Itexus supports both foundational software architecture and AI-informed enhancements that help systems adapt, learn, and scale as requirements evolve.

By integrating data insights, machine learning components, and adaptive features with core application logic, Itexus supports the creation of digital products that are not just modern but meaningfully intelligent - meeting client needs in environments where AI-driven capabilities are increasingly expected.

Apptension

• Company size: 50 - 99 professionals
• Founded: 2012
• Website: https://www.apptension.com/

Product-led digital transformation with intelligent features and UX focus

Apptension is a software product studio that helps organisations create human-centric digital products powered by modern technologies, including AI-enabled components that enhance interaction, automation, and insight capabilities. With a focus on blending thoughtful design and resilient engineering, Apptension partners with clients to build web, mobile, and hybrid solutions where intelligence plays a practical role in user outcomes.

Rather than presenting AI as a separate module, Apptension incorporates AI-related enhancements into existing product workflows, particularly in areas where automation and pattern recognition significantly improve user experience and system responsiveness. This includes intelligent recommendations, personalised content flows, and adaptive interfaces that respond to user context and behaviour.

The company emphasises a product-driven engineering culture, where cross-disciplinary teams of designers, developers, and product strategists collaborate to align technical decisions with real user needs. In practice, this often involves identifying where AI-assisted workflows could reduce friction, augment user engagement, or introduce smart predictions that maintain product clarity rather than complexity.

Apptension works with clients across a range of industries - such as fintech, digital health, consumer platforms, and SaaS applications - supporting everything from early-stage product experimentation to scaling mature digital systems. Through these engagements, AI-related features are introduced in ways that complement design thinking and software architecture, ensuring that intelligent capabilities have practical relevance and measurable impact.

The company’s approach is rooted in rapid prototyping, iterative delivery, and frequent feedback loops, enabling teams to test AI-enhanced interactions early and refine solutions based on real usage data. This iterative mindset supports the adoption of AI technologies that are aligned with product goals, user behaviour, and business priorities rather than speculative feature sets.

By infusing AI-enabled enhancements into product experiences, Apptension helps clients deliver digital solutions that feel intuitive, responsive, and tailored - reflecting a view of AI not as experimental tech, but as an intelligent extension of product design and development.

Instinctools

• Company size: 250 - 499 professionals
• Founded: 2000
• Website: https://www.instinctools.com/

Intelligent engineering for custom, data-forward digital systems

Instinctools is a software engineering firm focused on delivering custom digital platforms and intelligent solutions for businesses navigating complex technical challenges. The company blends deep technical expertise with a clear emphasis on data processing, smart automation, and emerging AI technologies - positioning its services within the evolving landscape of AI-driven software development.

Rather than presenting AI as a standalone offering, Instinctools embeds intelligent capabilities into core software systems where they make meaningful, measurable contributions. This includes leveraging data analytics, pattern recognition, and automation in enterprise applications to support operational efficiency and improve the way systems react to real-world inputs. AI-enabled elements are introduced as part of broader engineering frameworks designed for performance, scalability, and reliability.

Instinctools works closely with client organisations to understand their business context, data dependencies, and technical constraints, enabling teams to define where intelligent features can drive tangible value. From enhancing backend systems with predictive features to integrating decision-support functions into workflows, Instinctools applies AI technologies in a targeted and practical way, rather than as experimental novelties.

The company brings together multidisciplinary teams - including software engineers, system architects, and domain specialists - who collaborate with stakeholders at every stage of development. This collaborative model ensures that AI-related capabilities are thoughtfully designed, technically viable, and aligned with long-term product goals rather than isolated engineering experiments.

Instinctools’ expertise spans industries such as manufacturing, healthcare, finance, logistics, and enterprise solutions, where intelligent automation and data-derived insights offer competitive advantage. Many engagements focus on modernising legacy systems, implementing complex integrations, and building architectures that support both current operational needs and future technological evolution.

By integrating data-oriented intelligence and adaptive automation into custom software, Instinctools helps clients develop platforms that are not only technically robust but also responsive to dynamic business environments - reflecting a practical and sustainable approach to AI-driven digital transformation.

Alltegrio

• Company size: 100 - 249 professionals
• Founded: 2012
• Website: https://alltegrio.com/

Intelligent, data-driven development with a focus on AI-powered software solutions

Alltegrio is a technology consulting and software engineering company that collaborates with businesses to design, build, and scale AI-driven digital products and intelligent systems. With expertise spanning data science, machine learning, and custom software development, Alltegrio helps organizations integrate intelligent features that elevate user experience, automate complex processes, and derive actionable insights from data.

At its core, Alltegrio embeds AI technologies into bespoke software solutions, aligning advanced analytics and predictive capabilities with real business goals. The company’s approach emphasizes the practical application of machine learning models, natural language processing, and advanced data workflows as part of everyday product behavior - rather than as isolated experiments or proof-of-concepts.

In practice, Alltegrio collaborates closely with client teams to identify where AI can support automation, enrich product interactions, or enable smarter decision-making within digital platforms. This includes integrating machine learning components to enhance recommendation systems, support contextual search, automate content classification, or enable adaptive user interfaces that learn from behavior over time.

Alltegrio’s delivery model blends cross-functional engineering expertise with strategic alignment to business outcomes. Teams work through iterative development cycles, using data-informed roadmaps and analytics feedback loops to refine intelligent features and ensure alignment with evolving product priorities. This approach supports not only the creation of AI-enhanced applications but also long-term product evolution in rapidly changing markets.

The company’s portfolio spans industries such as fintech, e-commerce, healthcare, and SaaS platforms, where AI-powered software capabilities are increasingly expected. Across these projects, Alltegrio configures data pipelines, builds machine learning-enabled modules, and implements scalable architectures that support both performance and flexibility.

By integrating AI technologies directly into software workflows and product logic, Alltegrio helps clients transition from traditional application development to data-driven, intelligent systems that support efficiency, user value, and competitive differentiation in digital markets.

FAQ: Top 10 AI-Driven Software Companies in Poland

1. What does “AI-driven software company” mean in this ranking?

In this article, an AI-driven software company is defined as an organization that actively integrates AI technologies into software development or digital products. This includes embedding AI-enabled features into applications, using data-driven and intelligent system components, or applying AI-assisted engineering practices that support scalability, automation, and advanced analytics. The ranking focuses on practical AI adoption rather than experimental or research-only use cases.

2. Are all companies in the ranking building standalone AI products?

No. The companies featured in this ranking apply AI in different ways. Some specialize in AI-enabled platforms and intelligent systems, while others integrate AI into core software architectures, data pipelines, or product functionality. The ranking includes firms that use AI to enhance real-world software solutions, not only those building dedicated AI or machine-learning products.

3. Why is Poland considered a strong hub for AI-driven software development?

Poland has become one of the leading technology hubs in Europe due to its strong software engineering talent pool, mature outsourcing market, and growing adoption of AI technologies in digital products. Many Polish software companies combine deep engineering expertise with practical AI integration, supporting clients across Europe and global markets in building scalable, data-driven, and intelligent systems.