AI Development Services

Our AI development services help you automate complex decisions, uncover hidden insights, and create new revenue opportunities — while ensuring data quality, regulatory compliance, and full transparency throughout the process.

Focus areas

Machine Learning

See your business stay ahead of the curve by transforming raw data into actionable intelligence. Machine Learning empowers computers to “learn” from data, enabling autonomous decision making. We combine ML and DL to deliver systems that revolutionize your company’s real-time process monitoring and emergency response.

Predictive Modeling

Beyond foreseeing future outcomes or events, predictive modeling empowers you to be proactive. Our smart data science solutions use historical data to create accurate predictions, allowing you to strategize with confidence, reduce risk, and seize opportunities before they arise.

Voice chatbots

We develop intelligent voice chatbots powered by advanced NLP to handle unstructured data in real time. These bots enhance customer service, automate responses, support decision-making, and streamline tasks like sales forecasting, risk analysis, and patient interaction — delivering fast, accurate, and scalable communication across industries.

Custom AI development

In today’s dynamic digital landscape, your applications should do more than just exist; they should engage, adapt, and thrive. Our expertise in AI empowers us to transform ordinary apps and web solutions into intelligent, user-centric experiences. We infuse AI seamlessly into your apps, making them smarter, more responsive, and capable of delivering personalized content and recommendations.

Computer Vision

We enable systems to identify and classify physical objects with the accuracy of the human eye, analyze visual data, and derive valuable insights. With more than 20 years of pioneering experience in the field, we create AI-powered “eyes” and “brains that seamlessly integrate with a wide range of devices and systems.
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Embedded AI

Softarex develops Embedded AI solutions that integrate AI directly into hardware, wearables, and robotics systems. EAI processes data locally on edge devices, reducing reliance on cloud services and enabling faster, more secure operations. We embed models like neural networks into low-power, high-performance systems, allowing real-time data processing and autonomous decision-making.

Enterprise AI

We develop AI solutions that help large organizations optimize operations. These solutions improve processes, decision-making, and customer experiences using technologies such as advanced analytics, machine learning for insights, natural language processing for automation, and computer vision for visual data analysis.

Retrieval-Augmented Generation (RAG) & Generative AI

Turn your data into an interactive knowledge source. Our solutions deliver accurate, context-aware answers from internal documents, automate content creation like summaries and reports, and power chatbots that access and understand relevant information.

How we work

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Business Analysis

We analyze your business needs to design AI solutions tailored to your goals, ensuring alignment with digital transformation requirements and practical challenges.

AI Transformation Strategy

Our engineers map out where AI can cut costs, increase efficiency, or automate processes—building a focused strategy that targets ROI and operational improvement.

Detailed Planning

Each AI transformation phase is planned precisely — data sourcing, algorithm selection, and results forecasting — continuously refined to ensure accuracy, optimization, and alignment with evolving goals.

Implementation Strategy

Our team defines a structured AI implementation plan, including methodologies, budgets, and infrastructure needs, to enable efficient integration and achieve your business objectives.

AI Product Implementation

From UX design to deployment, we develop secure, tested AI products. Our team supports training and integration to ensure successful adoption and measurable impact.

Get guaranteed results and maximise business value

Robotics is the new black in the world of digital transformation.

Industry use cases

AI in Healthcare

Patient monitoring and recovery tracking
Predictive diagnostics and treatment planning
Medication interaction analysis
Optimized care pathways
Clinical decision support through data-driven insights

AI in Healthcare

AI in Manufacturing

AI in Finance

AI in Restaurants

AI in Healthcare

Patient monitoring and recovery tracking
Predictive diagnostics and treatment planning
Medication interaction analysis
Optimized care pathways
Clinical decision support through data-driven insights

AI in Manufacturing

Predictive maintenance to prevent downtime
Quality control using computer vision
Supply chain demand forecasting
Inventory optimization
Robotics and workflow automation

AI in Finance

Predictive analytics for investment strategies
Real-time fraud detection
Customer service chatbots
Algorithmic trading systems
Risk assessment and compliance automation

AI in Restaurants

Demand forecasting for inventory planning
Waste reduction through predictive supply usage
Smart kitchen workflow optimization
Personalized menu recommendations
AI-driven food safety monitoring
Workforce scheduling based on customer trends

Case studies

See all cases

Healthcare-Predictive-Analytics-Tool-scaled (1)

Big Data and Analytics

Healthcare Predictive Analytics Tool

AI Kitchen Management System

Frequently Asked Questions

Can your AI engineers integrate with our in-house team and workflows?

Yes, our engineers can easily adapt to your existing setup, including your tools, processes, and communication style. We’re flexible with project management methods, such as Agile and Scrum, and we’re happy to use whatever platforms you rely on, including Slack and Jira. Daily check-ins and stakeholder updates are part of our routine. We adjust to your time zone to ensure smooth collaboration. From kickoff (usually within a week of signing the contract) to delivery, we work as part of your team, not just alongside it.

Can AI be integrated with our existing business systems such as ERP or CRM?

Yes, we develop custom AI solutions that integrate with your existing systems, including ERP, CRM, POS, and data warehouses, without requiring significant modifications to your infrastructure. Our goal is to enhance your infrastructure by unlocking the value of your data. With our experience augmenting legacy platforms, we tailor each integration to your architecture and workflows. This ensures smooth data flow, minimal disruption, and measurable results.

What are some real-world applications of AI that you have delivered?

We have delivered production-ready AI solutions across multiple business use cases, including computer vision–based video analytics, AI-powered assistants and agents, ERP-augmented systems, and NLP-driven chatbots. Our projects also include knowledge retrieval systems (RAG), domain-specific copilots, and autonomous workflows powered by large language models. We integrate commercial LLM platforms and vector databases to support complex business processes. We also apply AI across the software engineering lifecycle, from intelligent requirement analysis to code generation, automated testing, and system monitoring. Each solution is designed around measurable business outcomes and tailored to our clients’ operational needs.

What makes you different from other AI software development companies?

At Softarex, we combine deep technical expertise with a strong research foundation. Our work is published in scientific journals, so you benefit from cutting-edge AI technology. Each client is assigned a dedicated project manager to ensure clear communication and a smooth experience. Our SOC 2 and ISO 9001 certifications reflect our commitment to quality and data security. We're more than just developers; we act as strategic partners, handling the technology while giving you full control over your project’s direction.

What is the typical timeline for building a custom AI solution?

The timeline for developing a custom AI solution depends on the scope and complexity of the project, as well as the required integrations. Small projects typically take around 12 weeks, while a full MVP usually requires six months. Enterprise-scale transformations can extend beyond 12 months. We work iteratively, delivering features in stages to accelerate feedback and ensure alignment with business goals.

How much does it cost to develop an AI-based application?

The cost of developing an AI-based application varies depending on the complexity of the project, its features, integrations, and business requirements. Each project should be assessed individually. As a rough estimate, smaller MVPs or pilot projects typically start around $20,000, while mature, enterprise-grade AI systems can cost up to $500,000. We work closely with you to understand your goals and provide a tailored estimate that reflects your specific needs.

How quickly can you start our AI development project?

We can start within a week of signing the contract. Our streamlined onboarding process aligns quickly with your goals, starting with a discovery session, followed by team allocation and milestone planning. Whether you're developing an MVP or scaling enterprise AI, we tailor the pace to match your priorities.

Our experts

We are experts in software and hardware engineering. By using and combining cutting edge technologies, we create unique solutions that transform industries.

Yauheni

Head of AI, Computer Vision & Robotics

With MA and PhD degrees coupled by multi-year scientific research experience, I am responsible for the development of knowledge-intensive solutions based on Computer vision, Predictive modeling, Deep learning and Machine learning technologies.

My responsibilities include planning and managing research, designing software architecture, developing project technical documentation and integrating research results into final products. My team and I always strive to apply the best practices of Computer vision and Machine learning to projects.

Yauheni

Head of AI, Computer Vision & Robotics

Dzmitry

Senior Software Engineer

Yauheni

Head of AI, Computer Vision & Robotics

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Dzmitry

Senior Software Engineer

With 7+ years of academic expertise in mathematics and software engineering and 6 years of experience delivering AI-driven solutions, I specialize in Machine Learning, ML system design, MLOps, Deep Learning, and Computer Vision.

Responsible for automating modeling processes, monitoring models in production environments, and managing the full ML lifecycle, I focus on building scalable, fault-tolerant, and future-ready systems that drive measurable value and support long-term business growth.

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