AI Development

Transform your business with intelligent AI solutions designed for automation, efficiency, and growth.

Our AI Development Services

Generative AI

Build custom AI-powered applications leveraging LLMs to generate content, personalize user experiences, and automate business workflows.

Data & Machine Learning Engineering

Design and develop scalable ML pipelines, enabling businesses to extract valuable insights and enhance decision-making.

Chatbot and Multi-Agent Development

Create intelligent AI assistants and multi-agent systems tailored for customer support, process automation, and complex AI-driven interactions.

Computer Vision Solutions

Develop AI-powered image and video processing applications, enabling object detection, facial recognition, and automated visual analysis.

AI Strategic Consultation

Provide expert guidance on AI adoption, model selection, and system integration to help businesses leverage AI effectively.

MLOps & AI Infrastructure

Implement scalable AI infrastructure, ensuring seamless model deployment, monitoring, and optimization in production environments.

AI Software Development Process

Discovery stage

We start by gaining a clear understanding of your business objectives, challenges, and potential AI opportunities. Through collaborative discussions and exploratory research, we identify where AI can drive the most value. Our team conducts an initial feasibility assessment and provides high-level estimations to outline the scope and expected outcomes of the project.

Initial setup

Once we define the direction, we refine the technical and business requirements. This phase involves assessing data availability, evaluating infrastructure readiness, and ensuring alignment between AI capabilities and business needs. We establish a structured roadmap, setting the stage for efficient AI implementation.

Building MVP

To validate the AI solution, we start with a Minimum Viable Product (MVP) that allows us to test key functionalities in a controlled environment. By leveraging real-world data, we assess performance, refine models, and ensure the solution is viable before committing to full-scale deployment.

Scaling and integrating

With a proven MVP, we focus on expanding AI capabilities and integrating the solution into your existing business ecosystem. Our team ensures seamless compatibility with internal systems, optimizes workflows, and fine-tunes models for maximum efficiency. The AI system is scaled to support larger datasets and complex operations as needed.

Continuous improvement

AI adoption is an evolving process. We continuously monitor performance, refine models, and implement updates to enhance accuracy and efficiency. By analyzing real-world outcomes, we ensure your AI solution adapts to changing business needs and remains a valuable asset over time.

AI-Assisted Software Development

At Radency, we integrate Artificial Intelligence into every stage of the software development lifecycle, enhancing efficiency, improving accuracy, and accelerating delivery. AI-driven development ensures smarter coding, automated testing, optimized deployment, and seamless maintenance.

Analysis

Gathering requirements
Generate user story
Project Planning

Maintenance

Monitors system performance and detects anomalies
Provides AI-powered recommendations for improvements
Automates documentation updates to keep records accurate

Deployment

Supports continuous integration and deployment (CI/CD)
Automates infrastructure scripting and resource allocation
Enhances scalability with AI-driven cloud optimization

Design

Generates initial architecture blueprints
Assists in structuring and module authorization
Enhances UX/UI design with AI-driven insights

Testing

Automated test case generation
Identifies potential vulnerabilities and inconsistencies
Authenticates code functionality and security

Development

Generates code snippets and suggests optimizations
Detects and fixes bugs in real time
Ensures coding consistency and best practices
Translates and explains code for better maintainability

AI Development Technologies & Tools

At Radency, we harness the power of the latest AI technologies, cloud solutions, and development frameworks to build intelligent, scalable, and high-performance AI-driven software. Our team of AI engineers, data scientists, and software architects works with state-of-the-art tools to accelerate innovation and ensure seamless AI integration.

AI Cloud Solutions

AWS Machine Learning

Amazon offers a suite of AI and ML services designed for rapid deployment and scalability. With built-in solutions for NLP, image recognition, and automated model training, AWS provides a powerful environment for AI-driven innovation.

Amazon SageMaker
Amazon Transcribe & Polly
Amazon Comprehend
Amazon Rekognition
AWS AI & ML Infrastructure

Google Machine Learning

Google Cloud delivers cutting-edge AI and ML capabilities with its powerful suite of AI-driven services. From pre-trained models to custom ML deployments, Google’s AI tools support complex workflows and industry-specific applications.

Vertex AI
Google Conversational AI
Google AI for Documents
Google AI for Industries
Google Cloud AutoML

Azure Machine Learning

Microsoft Azure provides an end-to-end ecosystem for AI development, covering everything from data preparation to model training, deployment, and continuous monitoring. Its robust AI tools streamline automation and decision-making.

Azure Cognitive Services
Azure Machine Learning
Azure Bot Services
Azure OpenAI Service
Azure Applied AI Services

Industry-specific solutions we build

Healthcare

Clinical decision support
Disease detection and diagnosis
Predictive patient analytics
Personalized treatment plans
Medical image analysis & AI-enhanced radiology
Patient data management & EHR optimization
AI-powered drug discovery and clinical trials
Remote patient monitoring & telemedicine
AI-based appointment scheduling
Pathogen detection and epidemic prediction

Retail

AI-powered customer behavior analysis
Personalized recommendations & dynamic pricing
Inventory demand forecasting
AI chatbots for customer service
Automated supply chain management

MarTech

AI-driven customer segmentation & targeting
Automated campaign optimization & A/B testing
AI-enhanced CRM & lead scoring
AI-powered chatbots & virtual sales assistants
Customer journey analytics & personalization

Drones & Autonomous Systems

AI-powered drone navigation & route optimization
Automated drone inspections for infrastructure & maintenance
Drone-based surveillance & security monitoring
AI-driven aerial mapping & terrain analysis

FinTech

Fraud detection and risk prevention
Credit scoring and financial forecasting
AI-driven investment and trading algorithms
Customer segmentation and personalized banking
Regulatory compliance automation
AI chatbots for customer support and loyalty
Anti-Money Laundering (AML) automation
Personalized financial planning

Manufacturing

Predictive maintenance for industrial equipment
AI-powered quality control & defect detection
Robotics process automation
Supply chain & inventory management
Energy consumption optimization

DELIVERED

PROJECTS USED BY

Here is how we help our clients scale

AI-based platform

TypeScript

PostgreSQL

Docker

AI-based platform designed to promote smooth collaboration among experts and users using machine learning capabilities.
By leveraging the power of artificial intelligence and multichannel communication, Project ensures efficient and effective interactions through questions and consultations. The platform integrates with popular business communication tools and messengers, making it easy to connect and collaborate.

ChatGPT-powered documentation chatbot

ChatGPT

ChatBot

The platform efficiently assists users in finding and understanding relevant information within a designated knowledge base. The primary objectives are to enhance user experience by streamlining the information retrieval process, reducing the time users spend searching for documentation, and ultimately increasing user satisfaction with the provided assistance.

Automated optical inspection solution

Angular

Python

Azure

Automated Optical Inspection (AOI) solution employs cutting-edge deep learning models to deliver fast, precise, and reliable quality control for manufacturing and assembly lines. Equipped with real-time object detection and anomaly recognition, the system can identify even the smallest defects on complex, varied, or reflective surfaces, ensuring that only high-quality products make it to market.

More case studies

Our Cooperation Models

Dedicated Development Team

Radency builds a dedicated AI development team to help you bring cutting-edge artificial intelligence solutions to life. You define the level of involvement - whether the team is managed on your side or by Radency, we ensure operational efficiency, transparent project progress, and seamless integration into your workflow. Our AI experts cover everything from data engineering and model training to deployment and continuous optimization.

Team Extension

Fully vetted Radency AI and ML engineers join your team full-time, working with the same level of dedication and accountability as your in-house employees. This model allows you to scale AI capabilities quickly, access niche expertise in deep learning, NLP, and computer vision, and ensure smooth collaboration with direct communication, transparency, and shared goals.

Fixed-Price Project

Ideal for AI-driven projects with well-defined requirements and timelines, this model provides a structured, budget-friendly approach. We handle the full AI development lifecycle, from data processing and model development to integration and testing. Our team ensures predictable costs, on-time delivery, and AI solutions that align with your business objectives.

AI Consulting

Leverage Radency’s deep AI expertise to build a clear AI adoption strategy tailored to your business. Our consulting services help companies assess AI feasibility, identify opportunities, and create structured roadmaps for implementation. Whether you need guidance on proof-of-concept development, model selection, or scaling AI solutions, Radency provides expert-driven insights to ensure maximum efficiency and business impact.

Why clients choose Radency

including former engineering leaders from Twilio, Amazon, Stripe and Cisco

100% certified talent

Work with developers who are guaranteed to deliver.

Radency's Training & Certification Centre is our competitive advantage. Our engineers undergo best in class vetting.

Team Scalability

Stay agile while keeping up with your roadmap.

Use our flexible engagement. Upscale and downscale your development team according to your particular needs.

Spend up to 30% less

Cut down on overhead expenses and recruitment fees.

Working with Radency would mean spending less on development, while working with tailor-fit top-notch tech talent.

Kick off in 5 days or less

Forget the hassle of a lengthy hiring process.

Build and onboard your team in days. Get your project on track with dedicated talent.

Wide tech expertise

All your tech needs covered in one place.

We work with all major tech platforms and have extensive expertise with AWS, GCP, Java, Python, Ruby, .NET, JS and Flutter.

Radical Efficiency

Enjoy dependable delivery and high ROI.

Quality and high standards are in our DNA. From recruitment to delivery we maximize ROI for our clients.

Industry-recognized

AWS

Certified developers

Microsoft

Certified developers

Top 1% firm

on Clutch

5/5 verified rating

on Goodfirms

Meet our experts

Max Honcharuk
Head of AI

Max is an AI and Machine Learning expert leading AI initiatives at Radency. With extensive experience in AI integration, backend development, and complex microservices architectures, he focuses on developing high-performance AI solutions that seamlessly fit into existing business ecosystems. His expertise spans healthcare, finance, and e-commerce, where he has successfully implemented predictive analytics, recommendation engines, and AI-driven automation.

At Radency, Max defines AI strategies, mentors teams, and ensures seamless integration of AI into enterprise solutions. His strong technical background enables him to bridge AI research with practical applications, driving innovation while maintaining a responsible and business-focused AI approach.

Connect with Max:

Mail

Eduard Dolynskyi
Head of MLOps

Eduard is a certified AWS Specialist and an expert in MLOps, cloud AI infrastructure, and scalable AI deployments. He specializes in streamlining AI operations, automating model lifecycle management, and ensuring the reliability of AI-driven systems in production.

With extensive experience in cloud-based AI, Kubernetes, and CI/CD for Machine Learning, Eduard has successfully built and optimized AI pipelines across fintech, healthcare, and manufacturing. His deep understanding of cloud platforms and AI infrastructure allows businesses to scale AI solutions efficiently while maintaining performance, security, and cost-effectiveness. At Radency, he leads MLOps initiatives, ensuring AI models remain robust, adaptable, and seamlessly integrated into enterprise environments.

Connect with Eduard: