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As the CEO of ProtoQ, I help startups and established businesses accelerate growth by providing dedicated engineering teams and building custom software solutions from idea to launch.
At ProtoQ, we're an AI & Custom Software Development Company with a team of 50+ engineers, designers, QA specialists, and DevOps experts.
We specialize in AI-powered solutions, SaaS platforms, web and mobile applications, UI/UX design, cloud infrastructure, and system integrations, helping companies transform complex ideas into scalable, reliable products.
Our team goes beyond writing code-we partner with clients to solve business challenges, design scalable architectures, and deliver software that improves operations, enhances user experiences, and creates measurable business value.
Whether you're building an MVP, scaling an existing product, integrating AI into your business, or assembling a dedicated development team, we bring the technical expertise and product mindset needed to move projects forward with confidence. Let's connect if you're looking for a reliable technology partner to build innovative digital products-from concept and strategy to development, launch, and long-term growth.
Challenge
Our client needed a faster way to analyze competitors' video advertising. For any product category, thousands of ads are available in the Facebook Ads Library and other public advertising archives, making manual research slow, inconsistent, and difficult to scale.
The platform needed to identify ads with similar messaging, creative structures, and storytelling techniques while working exclusively with publicly available data.
Solution
We built an AI-powered video ad intelligence platform that automatically collects ads from the Facebook Ads Library and other public advertising archives, transforming them into a searchable competitor research database.
The platform uses two AI models: one analyzes ad scripts to identify messaging, hooks, and sales structures, while the other analyzes video scenes to detect visual storytelling, product placement, and pacing. Together, they automatically classify ads by creative type, allowing marketers to quickly discover successful advertising strategies across an entire market. By automating the research process, the platform reduced competitor analysis from days to minutes, enabling faster, data-driven marketing decisions.
Technologies: Python, React
Über Projekt
We developed an AI-powered report generation system for manufacturing and construction companies. Users can upload an existing report or simply describe the report they need in plain language.
The AI automatically retrieves data, performs calculations, builds report templates, and generates tables, charts, and analytics blocks. Once created, reports can be generated on demand and refined through an integrated AI chat assistant.
The solution significantly reduced manual reporting work and made complex report creation accessible for non-technical users.
Challenges One of the biggest challenges was allowing AI to work with real business data safely and accurately. The system had to retrieve only the relevant data for each report, process it securely, and prevent any risk of affecting live production data — all while keeping the experience simple for non-technical users. Since multiple companies used the same platform, we also implemented strict tenant isolation to ensure that each client's data remained fully private and inaccessible to others.
Solution
We built a secure, sandboxed data layer that allowed the AI to work safely with business data without affecting live production records. LangChain handled the AI workflows, including data retrieveval, calculations, and report generation, while Claude powered the conversational report creation and editing experience.
Using MongoDB, we implemented strict tenant isolation to ensure each company's data remained fully private and separated.
On the frontend, we created a simple Angular interface where users could generate and refine reports through an intuitive chat-like experience.
Technologies:
Angular, Node.js, MongoDB, Claude, LangChain
Therapeutic Music Platform for Personalized Care
About project
The client aimed to create a therapeutic music streaming platform for healthcare providers and patients. The goal was to let care professionals manage music sessions in real time — adjusting sound intensity and emotional tone to match therapy flow. Key requirements included high-quality audio, cross-platform responsiveness, and secure, instant access for patients via QR codes or links.
Challenge
There was a clear need for adaptive music that could align with a patient's emotional state, yet organizing live sessions for remote patients often proved challenging. It was also important to ensure that listeners could connect easily and securely without registration, while giving healthcare professionals powerful tools to interactively manage music in real time.
Solution
ProtoQ built a Flutter-based app with integrated music streaming and a web interface for therapists. The platform enables real-time control of rhythm, volume, and emotion, with both live and pre-recorded sessions. Patients can join instantly without registration. The solution runs on Android and Windows, providing a secure, adaptive, and user-friendly tool for modern therapy.
Result
Patients have access to personalized therapeutic music anytime, while healthcare professionals can manage sessions in real time, enhancing the effectiveness of therapy. The app provides a convenient and secure way for users of all ages to connect and serves as an innovative tool that combines music streaming technology with professional medical support. The app is successfully used on Android and Windows platforms.
Technologies
Flutter, React, NodeJS Framework, C++