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Take a look at our wide variety of projects spanning multiple industries. Explore our interactive mind map to discover how we drive real results with creative innovation and technical mastery.
Overview: A secure data storage platform built around hardware-backed encryption principles. MyTrezor allows users and organizations to safely store and manage a wide range of sensitive data, from personal identification information to small but critical security credentials used in warehouses and smart home systems. The platform emphasizes encrypted storage, controlled access, and long-term data protection. Challenge: Organizations and individuals need secure, encrypted storage for sensitive data ranging from personal identification to critical security credentials for warehouses and smart home systems. Solution: Built a secure data storage platform using hardware-backed encryption principles, enabling controlled access to encrypted data with long-term protection guarantees.
Overview: A headless commerce solution for a premium chocolatier. It integrates AI-driven personalization, modern backend services, international shipping workflows, and localized payment systems to support global scale. Challenge: Expanding global reach required a sophisticated e-commerce platform supporting AI-driven personalization, international shipping, and localized payment systems. Solution: Delivered a headless commerce solution combining modern backend architecture with AI-powered personalization, enabling seamless international operations and localized customer experiences.
Overview: Developed a mobile-first Progressive Web App (PWA) optimized for high performance. The solution incorporates complex logic for managing food perishability, delivery time windows, and rapid order fulfillment. Challenge: Creating a high-performance mobile experience that manages complex food perishability logic, tight delivery windows, and rapid order fulfillment. Solution: Built a mobile-first Progressive Web App optimized for speed and reliability, incorporating sophisticated algorithms for managing perishability, delivery scheduling, and order fulfillment.
Overview: Designed a robust wholesale distribution portal for a Slovakian automotive spare parts leader. The system handles high-volume SKU management and simplifies complex B2B ordering workflows for corporate clients, emphasizing scalability, reliability, and operational efficiency. Challenge: Managing high-volume SKU catalogs and complex B2B ordering workflows for corporate clients required a scalable, reliable solution that could handle enterprise-level operations. Solution: We designed and delivered a comprehensive wholesale distribution portal that streamlines procurement processes, enabling corporate buyers to efficiently manage large-scale orders with real-time inventory visibility.
Overview: Engineered a B2B procurement platform for industrial lubricants. It digitizes traditional supply-chain processes, enabling bulk buyers to manage recurring orders, monitor logistics, and gain real-time procurement visibility. Challenge: Traditional procurement processes created inefficiencies in bulk ordering, logistics monitoring, and supply chain visibility. Solution: Developed a modern B2B procurement platform that digitizes the entire supply chain, from order placement to logistics tracking, providing real-time insights throughout the procurement lifecycle.
Overview: A nationwide Mobility-as-a-Service (MaaS) application consolidating regional transport systems into a unified platform. Enables seamless travel planning, ticketing, and cross-province journeys for citizens. Challenge: Fragmented regional transport systems created barriers to seamless inter-city travel and reduced public transportation adoption. Solution: Built a comprehensive Mobility-as-a-Service (MaaS) application consolidating multiple regional transport systems into a unified platform for nationwide travel planning and ticketing.
Overview: Digitized ambulance service operations by connecting customer-facing request flows with ERP-based inventory systems, improving emergency response efficiency and real-time medical asset visibility. Challenge: Manual ambulance service operations created inefficiencies in emergency response times and medical asset management. Solution: Digitized end-to-end ambulance operations by connecting customer-facing request systems with backend ERP inventory management, enabling real-time tracking and resource optimization.
Overview: An experimental multi-agent AI environment featuring over ten AI characters. Each agent maintains a unique personality, memory, and linguistic behavior, showcasing advanced LLM orchestration. Challenge: Demonstrating sophisticated AI capabilities through multiple autonomous agents with distinct personalities, memories, and behaviors. Solution: Created an experimental multi-agent environment featuring over ten AI characters, each maintaining unique personalities, contextual memory, and linguistic patterns through advanced LLM orchestration.
Overview: A privacy-first AI automation platform enabling sensitive phone-based task execution via AI-controlled virtual devices, ensuring user identity protection through secure infrastructure and jurisdictional isolation. Challenge: Executing sensitive phone-based tasks via AI while maintaining complete user privacy and identity protection. Solution: Built a privacy-first AI automation platform using AI-controlled virtual devices with secure infrastructure and jurisdictional isolation to protect user identity during automated task execution.
Overview: A healthcare AI chatbot for dental clinics that uses OpenAI agents to triage patient inquiries, provide instant medical guidance, and automate appointment booking, reducing administrative overhead. Challenge: Dental clinics faced high administrative overhead from patient inquiries, appointment scheduling, and basic medical triage. Solution: Developed an AI-powered healthcare chatbot using OpenAI agents to intelligently triage patient inquiries, provide instant medical guidance, and automate appointment booking—all accessible via Progressive Web App.
Overview: An AI-powered assistant that supports Product Managers, developers, and cross-functional teams in working with Jira. The agent helps analyze PRDs, automatically break them down into epics and user stories, assist with ticket clarification, and improve planning accuracy and team productivity through intelligent Jira interaction. Challenge: Product Managers and development teams spend excessive time on Jira administration, PRD analysis, and ticket breakdown. Solution: Developed an AI-powered assistant that analyzes Product Requirements Documents, automatically generates epics and user stories, assists with ticket clarification, and improves planning accuracy through intelligent Jira integration.
Overview: The Hotel AI Agent acts as a task-oriented assistant that goes beyond simple conversation. It can answer FAQs, check room and service availability, generate dynamic pricing, and schedule bookings or services for users. Built with LangGraph, the agent operates as a stateful workflow that can reason and invoke backend tools when needed, enabling seamless, consistent interactions across both web and email channels. Challenge: Hotels must manage a large number of repetitive requests such as FAQs, room availability, pricing, and scheduling. Manual handling is slow and hard to scale, while traditional chatbots lack context and cannot perform real operational tasks. Solution: Hotel AI Agent goes beyond simple chat by answering FAQs, checking availability, generating dynamic prices, and scheduling services. Built with LangGraph, it uses a stateful workflow to reason and execute actions, providing seamless and reliable interactions across both web and email channels.
Overview: An AI system that automatically processes public procurement documents, extracts software requirements, and classifies them into structured specifications for government and enterprise projects. Challenge: Procurement documents are lengthy and unstructured, making manual requirement extraction time-consuming and error-prone. Solution: Developed an AI system that uses NLP to extract and classify requirements from procurement documents, with Neo4j for traceability mapping and metadata DB for version control.
Overview: A predictive AI system that forecasts waste weights and detects collection anomalies to optimize waste management operations. Challenge: Unpredictable waste volumes and equipment failures disrupt service quality, while traditional systems cannot detect complex patterns. Solution: Built a deep learning system using PyTorch that predicts waste volumes and detects operational anomalies, enabling proactive route optimization and early issue identification.
Overview: An AI system that analyzes codebase and generates meaningful documentation using LLM for “Onboarding”, “Client handover”, and “RAG for code assistance”. Challenge: Large codebases make manual documentation impractical. New onboard takes time to understand the codebases, and LLM will fail to have a deep understanding of file relationships and code architecture. Solution: Server uses tree-sitter to scan projects and build a dependency graph, mapping file relationships as AST, which is used as context for LLM to generate meaningful documentation and diagrams. Contains caching, rate limiting, metrics collection and display, and gitlab integration
Overview: An AI-powered system that processes large volumes of unstructured government audit documents and generates comprehensive, consolidated audit reports across multiple audited entities under a common topic or mandate. Challenge: Government audit materials are highly unstructured, span multiple organizations, and require significant manual effort to analyze, cross-reference, and summarize into a single coherent audit report. Solution: Built an AI system that ingests heterogeneous audit documents, extracts key findings, risks, compliance issues, and recommendations, and synthesizes them into structured, comprehensive audit reports covering multiple audited entities. The system maintains traceability between source documents and generated conclusions to support transparency and review.
Overview: An AI-driven assistant that helps users discover, understand, and retrieve relevant information from large collections of government software training videos. Challenge: Government training materials are often distributed across long, unindexed videos, making it difficult for users to quickly locate specific procedures, features, or explanations. Solution: Developed an AI system that transcribes, indexes, and semantically analyzes training videos, enabling users to ask natural-language questions and receive precise, context-aware answers with references to exact video segments. This significantly improves training efficiency and knowledge accessibility.
Overview: An AI-powered document intelligence and conversational platform built on a microservices architecture. The platform combines advanced document processing, semantic search, audio transcription, multi-language translation, summarization, and conversational AI capabilities into a unified system designed for knowledge extraction and intelligent query answering. Challenge: Organizations struggle with managing and extracting knowledge from diverse document formats (PDFs, DOCX, PPTX, scanned images) and audio files, making it difficult to quickly find specific information, get summaries, or translate content across languages without manual effort. Solution: Built an AI-powered document intelligence platform with microservices architecture that ingests multi-format documents (including OCR for scanned PDFs), transcribes audio files, and enables semantic search via RAG. Users can ask natural-language questions, request AI-generated summaries, and translate documents through a unified API gateway with LangChain-based agents, backed by vector search (Qdrant) and conversation memory for context-aware responses with source citations.
Overview: A full-scale Web3 marketplace enabling creators and brands to mint, list, and trade NFTs on the Solana blockchain. The platform focuses on low-latency transactions, wallet-native authentication, secure ownership transfer, and scalable metadata handling, making it suitable for both consumer-facing collections and enterprise-grade digital assets. Challenge: Creating a scalable NFT marketplace requiring low-latency transactions, secure ownership transfers, and enterprise-grade metadata handling. Solution: Built a comprehensive Web3 marketplace enabling creators and brands to mint, list, and trade NFTs on the Solana blockchain with wallet-native authentication and optimized performance.
Overview: A Solana-based loyalty ecosystem designed to avoid high gas fees by calculating rewards off-chain while allowing users to mint or claim tokens on-chain. Integrated with Phantom and Privy wallets and Shopify. Challenge: Traditional loyalty programs suffer from high transaction costs and complex redemption processes, limiting customer engagement and platform scalability. Solution: Developed a Solana-based loyalty ecosystem that calculates rewards off-chain to avoid gas fees while enabling on-chain token minting and claiming. Integrated with popular Web3 wallets (Phantom, Privy) and Shopify for seamless e-commerce integration.
Overview: An enterprise-grade talent matching platform that bridges business demand with IT talent supply. Features skill verification, project-based hiring workflows, and real-time communication dashboards. Challenge: Connecting qualified IT talent with business opportunities requires sophisticated skill verification, real-time communication, and project-based hiring workflows. Solution: Developed an enterprise-grade talent matching platform featuring skill verification systems, real-time communication dashboards powered by WebSockets, and streamlined project-based hiring processes.
Overview: A unified internal communication system combining real-time messaging with operational workflows such as leave management and work-from-home notifications, powered by WebSockets for instant synchronization. Challenge: Organizations needed a unified platform combining real-time messaging with operational workflows like leave management and remote work coordination. Solution: Built a cross-platform communication system (desktop and mobile) integrating instant messaging with HR workflows, powered by WebSockets for real-time synchronization.
Overview: A CMS-driven corporate website for a technology company, designed to manage dynamic content such as services, case studies, insights, and company updates. The platform enables non-technical teams to update content easily while maintaining performance, SEO optimization, and a scalable content structure. Challenge: Enabling non-technical teams to manage dynamic content while maintaining performance, SEO optimization, and scalability. Solution: Developed a CMS-driven corporate website using modern headless architecture, allowing easy content updates for services, case studies, insights, and company information.
Overview: A corporate CMS website for a glass manufacturing company with a strong focus on brand presentation, product portfolios, sustainability messaging, and industrial expertise. The site delivers structured content for multiple glass solutions, highlights manufacturing capabilities, and supports international audiences through a clean, professional, and scalable content architecture. Challenge: Showcasing complex product portfolios, manufacturing capabilities, and sustainability messaging for international audiences while maintaining brand excellence. Solution: Built a professional CMS website delivering structured content for multiple glass solutions, highlighting industrial expertise with clean architecture supporting global audiences.
A European company creates stunning digital signage, but sync issues were holding them back. Here's how we fixed it quickly and affordably to deliver seamless 4K visuals.
An e-commerce client wanted to scale up operations smoothly, so we built smart, plug-and-play microservices that handled everything from auto-restocking to AI chatbots and better shipping options.
When heavy customization and long wait times were holding back AI chatbot projects, we stepped in with a modular, scalable design that sped things up dramatically and brought in millions in new business.
We built an easy-to-use platform for an automotive client to sync huge datasets, scrape market info, and add web tools. Their non-tech team could handle everything with almost no disruption.