Project: A prediction-based media platform built from scratch.

Objective:
To create a unique product at the intersection of entertainment content and platform architecture. The task included full-cycle development — from idea and branding to team assembly, IT development, marketing, and launch.

Solution:
Product architecture:

• Developed the core idea, structure, and user flows
• Designed the visual identity and website
• Assembled and managed the team (designers, developers, marketers)

Technical implementation:
Modern tech stack:

• Backend: Python, Django, Flask, FastAPI
• Frontend: NUXT, Vue.js
• Real-time: WebSocket
• Infrastructure: Nginx, Gunicorn
• Databases: PostgreSQL, ClickHouse
• Analytics: Pandas
• DevOps: Docker, GitLab CI/CD, Kubernetes

Marketing & growth:

• Built the media image and communication strategy
• Launched YouTube channel and Telegram
• Onboarded influencers and early users
• Developed a growth and monetization strategy

Result:
A unique digital product with a clear visual and conceptual identity. A strong foundation for a scalable media platform — stable performance, positive user feedback, and readiness for further growth.

Project: Online casino and betting platform for the Asian market.

Note: The project is under NDA.

Our team participated in platform architecture design, game provider integrations, and payment infrastructure setup.

Focus areas included scalability, security, and localization for regional markets.

Objective:
To develop a series of atmospheric adventure video games with strong visuals and well-crafted gameplay, targeting international audiences and PC platforms.

Solution:
Full-cycle support for the project:

• Game design: narrative, mechanics, level system
• Art: full production — from concepts to interface design
• Development: built and optimized a custom Unity engine
• Publishing support: prepared releases for various platforms
• Marketing: created promotional assets, trailers, and presentations

Result:

• Successful international launch
• Positive feedback from users and critics
• Strong brand recognition in the adventure/HOG niche
• Verified return on investment

Technologies:
Unity, C#, Adobe Photoshop, Blender, Spine, Steam SDK, in-game analytics

Client: A service company specializing in on-site technical maintenance.

Goal: Build an IT platform to automate request management, documentation, engineer dispatching, payroll, customer service, and inventory operations. The system had to be modular, flexible, scalable, and secure.

Solution:
We developed a scalable IT platform based on a microservices architecture, including:

• Personal accounts for engineers and clients
• Modules for requests, time tracking, analytics, inventory, and security
• Integrations with 1C and electronic document systems
• Geolocation and automatic payroll calculation
• Role-based access control
• Digital document flow with e-signatures and auto-verification
• Containerization using Docker and Kubernetes
• CI/CD pipeline, monitoring, security, and backups

Result:

• 80%+ of internal processes automated
• Improved discipline and operational control
• Reduced paperwork and manual input
• Full visibility into fieldwork and documentation
• Scalable and ready for expansion

Technologies:
Python (Django), PostgreSQL, Vue.js, Nuxt.js, Docker, Kubernetes, 1C API, EDI, CI/CD, Prometheus, Grafana

Client’s challenge:
No centralized analytics tool for attendance, gym load, or schedule planning. Existing systems lacked the flexibility for real-time decision-making and service improvement.

Solution:
We built a custom BI platform integrated with CRM, turnstiles, and access systems.

Key features:

• Real-time attendance data collection
• Analysis of peak hours, user activity, and popular zones
• Dashboards and reports for management
• Forecast-based scheduling and event planning

Result:

• Greater transparency for informed decision-making
• Improved efficiency and reduced operational costs
• Enhanced customer experience via precise planning
• Increased visitor engagement through behavior analytics

Technologies:
Python, Django, FastAPI, Nuxt.js
Data: PostgreSQL, ClickHouse, Pandas
Automation: GitLab CI/CD, Docker, Kubernetes
BI interface with interactive dashboards

Advantages:

• Scalable for multi-location networks
• Easy integration with existing systems
• Fast data processing
• No technical training required

Client’s challenge:
No efficient passenger feedback system; driver evaluations were manual and unscalable.

Our solution:
We developed a Telegram bot with QR-code login inside the vehicle. Passengers rate key aspects — cleanliness, comfort, driver behavior — in seconds. All data is automatically aggregated into management reports.

Technologies:
Python, Telegram API, PostgreSQL
Hosted within the client’s secure infrastructure

Result:

• Fast and easy feedback collection
• Unified service quality evaluation system
• Live analytics for management — no manual effort

Advantages:

• Seamless integration with existing workflows
• Scalable across all routes
• Easy for users, valuable for business