Intellias→AI Services

Ethical, scalable, transformative AI solutions

AI Services

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Pragmatic AI for a modern world

Intellias designs and executes pragmatic AI strategy frameworks that solve modern business problems. Improving existing services? Accelerating operations with machine learning models? We deliver grounded technology solutions.

There are many reasons to need pragmatic AI services. Many organizations struggle with outdated systems that cannot support AI. They need a software development company and service provider deeply embedded in data, AI development services, and AI/ML development services. While some organizations are looking to boost productivity and efficiency, others lack dedicated AI engineers and developers to move beyond a point-of-concept or pilot phase. Intellias has AI and ML development services to meet varying needs.

Trusted by leading companies worldwide

Our approach: Pragmatic AI and ML services

Pragmatic artificial intelligence services are the sensible, step-by-step approach to achieving true AI return on investment (ROI). We solve adoption challenges by aligning AI and ML technologies with your specific business goals. As a leading, top AI development company, Intellias provides comprehensive artificial intelligence services designed for enterprises seeking clear outcomes from their AI initiatives. Let our experts handle your AI projects.

AI transformation initiatives

Build an action-oriented AI strategy that unifies business strategy, governance, data, tech, and culture. We offer targeted guidance, design workshops, and training from our AI strategists.

AI-ready data

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Create an AI-ready data engine for your business. Intellias evaluates your current technology capabilities and provides a roadmap for adopting and scaling AI solutions effectively through AI solutions development.

Responsible AI

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Set the stage for innovation with a responsible AI framework. Intellias helps you design strong policies and structures that align your AI growth with risk-reducing, ethical practices.

AI-enabled engineering and app development

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Supercharge your software development with AI software development services and AI-enabled engineering. Our engineers integrate AI into every stage of the software development lifecycle, including application development.

AI-powered digital enterprise

Transform your core operations by integrating gen AI and AI agents into your high-impact business functions in marketing, HR, and legal to enhance efficiency and decision-making.

AI-driven innovation

Launch next-generation products, services, and features that secure a long-term competitive advantage. We identify high-value opportunities and rapidly prototype tailored, custom AI solutions.

Clear outcomes: Our clients' stories

AI-powered property intelligence platform

A property intelligence innovator modernized its aerial imagery analysis on AWS. The solution reduced costs while scaling the client’s processing capabilities. It transformed a legacy, batch-based process into a scalable, real-time system to deliver evidence-based analytics for property risk and valuation.

Achieved a 10x reduction in total cost of ownership through architectural redesign.
Implemented an event-driven, serverless architecture for real-time inference and data enrichment.
Enhanced system reliability with automated monitoring and a 30-minute recovery time objective.

Retail training and sales assistant

A Fortune 500 retailer worked with Intellias to build a genAI-powered chatbot designed to improve product knowledge and sales performance. The solution functioned as both an interactive eLearning tool for staff and a real-time consulting assistant for global customers.

Deployed a natural language processing (NLP) engine to provide instant product specifications and shopping advice.
Integrated a system that trains sales reps through simulated conversations and tracks learning progress against revenue data.
Scaled a secure, multi-language architecture across platforms like Facebook Messenger and Skype.

Next-generation expertise management platform

A multinational technology company partnered with Intellias to reorganize its knowledge management by unifying employee data into a cloud-native platform. Powered by genAI, the solution automates the mapping of professional skills and identifies critical expertise gaps.

Developed an intelligent ChatGPT-based platform that analyzes internal and external data from SharePoint and LinkedIn.
Created a centralized, graphical user interface that categorizes competencies by programming languages, frameworks, and applications.
Automated professional profile updates with recommendations for employee training and career growth.

Agentic customer service platform for aviation

A European airline collaborated with Intellias to deploy a multi-agent AI system that manages global customer inquiries across 100+ destinations. The solution uses agents to handle complex, multi-step transactions in real time. The solution moves beyond static FAQ responses to provide a 24/7, high-reasoning service environment.

Deployed an orchestration system of specialized agents to manage refunds, check-ins, and security verification.
Implemented a Retrieval-Augmented Generation (RAG) solution and translation agents to provide accurate, multilingual support.
Reduced operational overhead and contact center escalations by automating the classification of inquiries into over 200 intent categories.

Unified analytics and AI-ready data platform

An identity verification company worked with Intellias to consolidate a fragmented data environment resulting from multiple acquisitions. By building a unified data foundation on AWS, the company transformed siloed datasets into a context-rich analytics platform that drives new revenue streams and supports advanced AI capabilities.

Integrated disparate identity platforms into a centralized AWS data layer.
Deployed a “backbone” use case for automated customer recommendations, reducing churn and improving client satisfaction.
Established a governed MLOps lifecycle using AWS SageMaker for processing sensitive PII data.

Clients appreciate us

Oleksandr Dzvonyk,

Director of Engineering, BrainStorm, USA

As a leading learning solution provider and adopter of ⁠Microsoft AI Copilot products, we understand the pivotal role a digital assistant can play in enhancing user productivity with minimal effort. The BrainStorm team is excited to explore the AI-powered tools with Intellias, as its implementation within our projects proves that AI copilots are becoming good friends of engineers.

Jesper Erichsen,

Chief Operating Officer, DKV Mobility, Germany

Our partnership model promises to accomplish mutual benefits for both DKV Mobility and Intellias. We are extremely excited about the superior tech capabilities and DNA of Intellias and are confident that the partnership will have further positive impact on the extensive value and benefits we create for our customers. This partnership also underlines our commitment to drive the transition towards an efficient and sustainable future of mobility through the use of leading-edge technology, especially with support from Intellias – the expert in this field.

How we deliver value

Use case discovery and strategy

We start by defining a sensible AI strategy that directly aligns with your business outcomes. Intellias evaluates your workflows to pinpoint high-value, practical GenAI use cases rather than chasing trends. This phase includes establishing governance and security standards to guide your AI adoption safely.

AI readiness and data foundation

Effective AI needs a secure, organized foundation. We prepare your infrastructure and proprietary information to ensure your data is clean, accessible, and well-governed. This phase focuses on setting up necessary AI guardrails, so your environment is securely equipped to power custom models, including deep learning architectures. This phase focuses on setting up necessary AI guardrails, so your environment is equipped to power custom AI models and AI systems.

Model development and targeted delivery

Instead of a massive, disruptive launch, we take a focused approach. Intellias builds and deploys your initial GenAI solutions, like specialized agents or custom LLMs, in targeted pilot programs using ML-powered applications. This lets your teams test, refine, and prove the real-world value of these tools without interrupting daily operations.

Value iteration and scaling AI systems

Once a solution proves its worth, we scale it across your business. Intellias delivers improvements in short, measurable cycles, continuously refining AI models based on user feedback. Intellias ensures your AI systems grow seamlessly, expanding capabilities and adoption while maintaining top performance.

Benefits of our AI and ML services

Working with a top AI development services company like Intellias yields concrete results that impact your shareholder return. We provide premier AI development services.

Increased productivity

Automate repetitive tasks through AI agents and AI-driven workflows.

Reduced risk

Our focus on responsible AI ensures transparency and accountability in every AI model.

Faster time to market

Use our frameworks and AI technology to deploy solutions in weeks rather than months.

Data-driven decisions

Transition from intuition to predictive insights with custom AI solutions provider expertise.

Why Intellias?

Industry expertise

As an AI development services provider, we deliver industry-specific AI solutions that understand your organization’s unique context and specific regulatory environment.

End-to-end capability

From advisory roles to complex AI-managed services, Intellias handles the entire end-to-end software product development lifecycle. Our professional services cover everything.

Platform agnostic

We partner with major hyperscalers such as AWS, Azure, and GCP, allowing us to build your AI system on the platform that best fits your architecture.

Ethical frameworks

As an AI services company, Intellias prioritizes responsible, pragmatic artificial intelligence services and solutions. We ensure your AI technologies are fair, ethical, and accountable to your company and customers.

Engineer Seniority

More than 70% of Intellias engineers are senior with AI expertise in emerging technologies and domains such as mobility, digital health, retail, and financial services.

Analysts speak about Intellias

Gartner Acknowledges Intellias for AI Expertise in Banking

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Intellias Highlighted for Product Engineering Services in Everest PEAK Matrix®

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Intellias Featured in Global AI Report by Frost & Sullivan

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Intellias Recognized by Zinnov for Engineering R&D Excellence in 16 Categories

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Use cases

Buyer simulation campaigns: Predict outcomes and refine targeting by simulating customer behavior.
Predictive analytics: Forecast sales trends to manage inventory and prevent stock issues.
Personalized product recommendations: Increase sales with behavior-based product suggestions.
Dynamic price optimization: Adjust prices in real time based on demand and competitor insights.
Supply chain enhancement: Improve logistics and delivery with AI-driven route planning and demand prediction.

Retail & eCommerce

Patient data analytics: Analyze patient records to improve care quality and outcomes.
Operations management: Improve healthcare workflows for better resource use.
Medical compliance in medical hardware: Monitor device performance and usage to ensure regulatory adherence, safety and audit readiness.

Healthcare & medical devices

Portfolio analysis: Assess investment portfolios to maximize returns while managing risks.
Smart client segmentation: Group clients based on behavior for personalized services.
Automatic payments: Simplify payment processes with automated systems.
Risk management: Identify potential financial risks using predictive analytics.

Financial services & insurance

Driver monitoring: Track driver behavior in real time to improve safety.
HMI user input: Design intuitive interfaces that enhance driver–vehicle interactions.
In-vehicle assistants: Use voice-activated AI support for navigation, entertainment and driver assistance in real time.
Fuel/energy consumption prediction: Predict fuel usage to optimize driving routes.
Autonomous navigation and safety: Use AI for real-time object recognition, road screening and hazard detection.

Mobility

Product recommendation modeling: Suggest games to players based on their interests.
Player segmentation: Analyze player data to effectively channel marketing efforts.
Smart marketing: Use AI to create adaptive marketing campaigns that resonate with players.
Fraud detection: Implement systems to identify and prevent fraudulent activities.

iGaming

Intelligent product copilots: Enhance software experiences with AI assistants that support users, automate workflows, and increase productivity.
Personalization engines: Deliver tailored user experiences by analyzing behavior, preferences, and context in real time.
Predictive analytics & insights: Anticipate user needs, system demands, and business trends to enable proactive decision-making.
Autonomous platform operations (AIOps): Monitor systems, detect anomalies, and resolve incidents automatically to ensure uptime and performance.

FAQs about our AI and ML services

Intellias focuses on pragmatic, data-driven results. Our pragmatic approach to end-to-end engineering services distinguishes us from many AI companies that have come to market in the past few years. We build AI solutions that work in the real world.

Yes, Intellias is a partner with AWS, Microsoft, and Google. We ensure your AI integration is seamless regardless of your current technology stack.

Intellias offers AI-managed services and ongoing AI support to monitor performance and update models as your data evolves. Simultaneously, we ensure that model updates are pragmatic and will yield business value. This ensures your AI product continues to provide business benefits and offer effective results.

Absolutely. Intellias specializes in developing practical genAI solutions and AI agents to automate complex business processes.

Our experts

Hana Rizvić

Head of AI

Hana is a data scientist with a decade of experience in the field and an AI/ML expert. At Intellias, she has developed the AI/ML practice into a separate, robust domain and a core offering. Her expertise lies in not only orchestrating and motivating teams but also in shaping forward-thinking growth strategies for businesses implementing AI/ML worldwide. Under Hana’s leadership, the AI/ML practice at Intellias continues to grow, now including GenAI offerings and a responsible AI practice which she recently launched.

With a solid mathematical background, Hana has spent her career focusing on predictive analytics and machine learning, helping clients in healthcare, energy and insurance. She holds a Master’s in Applied Mathematics from the University of Rijeka in Croatia.

Atina Koljevina

AI/ML Practice Engagement Manager

А research engineer with almost a decade of experience, Atina specializes in deep learning and data science. At Intellias, she continually explores innovative ways to apply AI and machine learning solutions to business challenges, working on international and interdisciplinary projects.

Her expertise includes developing deep learning algorithms for face detection and recognition, as well as leading projects on lightweight neural networks, data annotation and proof-of-concept development. She holds a Master of Science in Computer Science and Mathematics from the University of Zagreb.

Eugene Berko

Director of Technology Practices

Director of Technology Practices at Intellias with 13+ years of experience in software engineering, management, and consulting. The area of Yevhen’s responsibility is the company’s technology offering in the fields of Data & AI, Cybersecurity, IoT, Cloud & DevOps, Support, Intelligent Automation, Business Applications.

Driven by passion for learning and making a difference, Yevhen is also a firm believer in flexibility and providing a unique solution to each problem rather than following 300+ page frameworks. He often speaks publicly and is interested in the topic of using Generative AI to solve real-world business problems as well as the art and science of governing AI.