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AI Solutions for Gaming

  • 90+ engineers
  • 13+ years in business
  • 70+ apps delivered

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SOC 2 Type II GDPR ISO 27001 NDA Protected

Aligned with these frameworks. Audit reports and certifications available on request.

Key facts: Pharos Production delivers custom ai solutions for gaming since 2013. Team of 90+ engineers from Las Vegas and Kyiv. 70+ applications delivered for 200+ clients. Rated 5/5 on Clutch (2026). aligned with ISO 27001. Last reviewed: June 2026. Editorial policy.

What is AI for gaming?

AI for gaming is the application of machine learning, reinforcement learning and generative AI to game development and live operations - from intelligent matchmaking and anti-cheat detection to dynamic difficulty adjustment and procedural content generation. Unlike traditional game AI that follows scripted behavior trees, ML-powered gaming systems learn player patterns, adapt difficulty in real time and generate novel content that keeps players engaged. Common AI gaming project types include skill-based matchmaking engines, behavioral anti-cheat systems, dynamic difficulty adjustment, procedural level and asset generation, player churn prediction and in-game economy balancing.
Dmytro Nasyrov - Founder and CTO of Pharos Production

Reviewed by Dmytro Nasyrov

Founder and CTO

23+ years in software development. PhD in AI. Led AI projects for game studios, esports platforms and interactive entertainment companies. aligned with ISO 27001.

What is AI for gaming?
AI for gaming is the application of machine learning, reinforcement learning and generative AI to game development and live operations - from intelligent matchmaking and anti-cheat detection to dynamic difficulty adjustment and procedural content generation. Unlike traditional game AI that follows scripted behavior trees, ML-powered gaming systems learn player patterns, adapt difficulty in real time and generate novel content that keeps players engaged. Common AI gaming project types include skill-based matchmaking engines, behavioral anti-cheat systems, dynamic difficulty adjustment, procedural level and asset generation, player churn prediction and in-game economy balancing.

Custom AI for gaming vs vendor AI platforms

Factor Custom AI (Pharos Production) Vendor Platforms (Modulate, Hive, etc.)
Matchmaking precision Custom algorithm tuned for your game mechanics, skill curve and player base Generic Elo/Glicko with limited game-specific tuning
Anti-cheat accuracy Behavioral models trained on your game input patterns and cheat signatures Signature-based detection, slower adaptation to new cheats
Content generation Generative models fine-tuned on your art style, level design and lore Generic generation not aligned with your game aesthetics
Player data ownership All player behavioral data stays in your infrastructure Data processed on vendor servers, aggregated across titles
Integration depth Deep integration with your game engine, backend and live ops tooling SDK-based integration with limited engine access
Cost at scale One-time development + self-hosted inference Per-MAU or per-match pricing that scales with player base
Competitive advantage Proprietary AI that competitors cannot license from the same vendor Same vendor AI available to competing studios

Pharos Production recommends custom gaming AI for studios with 100K+ MAU, competitive multiplayer titles requiring precise matchmaking or games with unique mechanics that generic solutions cannot model. Vendor platforms work for content moderation and basic player analytics.

How to choose an AI development company for gaming

1 Game development domain expertise alongside ML engineering. The team must understand game loops, player psychology, matchmaking theory and live operations - not just model training.
2 Real-time inference experience at game scale. Gaming AI operates at sub-100ms latency for millions of concurrent players. The team needs production experience with low-latency ML serving and horizontal scaling.
3 Anti-cheat and trust/safety track record. Ask for case studies showing behavioral cheat detection with measurable false positive rates below 0.1% and cheat detection coverage metrics.
4 Reinforcement learning capability for game AI. Dynamic difficulty, NPC behavior and economy balancing require RL agents trained in simulated environments. The team should demonstrate RL deployment beyond toy problems.
5 Generative AI for game content. Procedural content generation requires models fine-tuned on your art style and design language. The team should show generative results that match specific aesthetic constraints.
6 Live operations analytics experience. Player churn prediction, monetization optimization and A/B testing infrastructure are as important as the in-game AI. The team should integrate ML with your live ops pipeline.

Pharos Production - Get your gaming AI estimate in 48h. Share your matchmaking, anti-cheat or procedural content generation requirements - our AI team will deliver a detailed estimate with architecture recommendations. Get a project estimate.

Reviews

Independent reviews from Clutch, GoodFirms and Google - verified client feedback on our software projects

Based on 12 verified client reviews

5 out of 5 stars
AI

Delivered ahead of schedule with efficiency gains.

Russell Searce
5 out of 5 stars
AI

Our experience working with Pharos Production Inc. was very positive. From the beginning, their team demonstrated a clear understanding of our requirements and took the time to properly analyze our business processes before starting development. Communication remained smooth and transparent throughout the project.

Zoeb Khan
5 out of 5 stars
AI

Stable platform delivery with minimal disruption.

Amber Caruso
5 out of 5 stars
AI

Handled complex workflows and compliance effectively.

Scott Bates
5 out of 5 stars
AI

Strong domain expertise and agile delivery.

Joshua Hernandez
5 out of 5 stars
AI

Fast delivery with strong collaboration.

Charlotte Preston
5 out of 5 stars
AI

Delivered a simple and efficient solution despite technical complexity.

Troy Gessel
5 out of 5 stars
AI

Built scalable app aligned with hybrid workflows and user needs.

Tyler Servin
5 out of 5 stars
AI

Delivered Web3, NFT, and smart contract functionality successfully.

Alex Gurych
5 out of 5 stars
AI

Pharos proved to be a dependable partner, adapting as our company evolved with strong technical depth and ownership.

Corey Gottlieb
5 out of 5 stars
AI

Aligned with manufacturing constraints and workflows.

Brian Hess
5 out of 5 stars
AI

Highly adaptable team with strong ownership and excellent communication delivering effective solutions.

Molly Lavie

Measurable results

70+ Applications delivered
200+ Clients worldwide
5/5 Clutch rating (2026)
13+ Years in production

AI for Gaming Benchmark 2026

Proprietary research based on AI-powered gaming projects delivered by Pharos Production. Dataset covers matchmaking, anti-cheat and content generation deployments. Methodology (Pharos Verified Delivery): aggregated delivery metrics with production monitoring data. Full report available on request.

< 45 sec Average matchmaking queue time
99.9% Anti-cheat precision (no false bans)
30% Improvement in player retention D30
$40K-$350K+ Project cost range depending on complexity
10x Content generation speed vs manual creation
10 weeks Average time to production-ready MVP

AI Solutions for Gaming trends shaping 2026

Key technology shifts that impact how Pharos Production architects ai solutions for gaming software for clients.

Generative AI for Game Content

LLMs and diffusion models generate game dialogue, quest narratives, texture variations and level layouts at 10x the speed of manual creation. Studios use AI to prototype content that designers then polish. Pharos Production builds generative content pipelines fine-tuned on studio art style and design guidelines.

Reinforcement Learning for NPC Behavior

RL-trained NPCs adapt to player strategies in real time, providing challenging opponents without scripted patterns. Self-play training produces emergent behaviors that feel human. Pharos Production builds RL game agents with difficulty calibration and behavioral diversity controls.

AI-Powered Player Analytics

ML models predict player churn, spending propensity and engagement patterns to power personalized live operations. Real-time segmentation enables targeted offers and content recommendations. Pharos Production builds player analytics platforms integrated with LiveOps and monetization tools.

Behavioral Anti-Cheat Systems

ML models analyze input patterns, movement telemetry and statistical anomalies to detect cheaters without client-side kernel drivers. Privacy-preserving detection avoids the player backlash of invasive anti-cheat. Pharos Production deploys server-side behavioral detection with multi-signal convergence requirements.

AI Economy Balancing

Simulation-based AI tests in-game economy changes (drop rates, currency sinks, marketplace pricing) before deploying to live servers. Agent-based models predict inflation, deflation and player reaction to economy changes. Pharos Production builds economy simulation frameworks with what-if scenario testing.

AI-Driven Dynamic Difficulty

ML models assess player skill in real time and adjust challenge parameters (enemy count, AI aggression, puzzle complexity) to maintain flow state. Player retention increases 20-30% when difficulty matches skill. Pharos Production builds difficulty systems with transparent player communication and opt-out controls.

Key takeaways
  • AI for gaming requires both ML engineering expertise and deep understanding of game design, player psychology and live operations at scale.
  • The global AI in gaming market is projected to reach $7.8 billion by 2030 at 26.2% CAGR. 60% of AAA studios are investing in AI-powered matchmaking and procedural content generation.
  • Custom AI creates competitive advantages that studios cannot buy off the shelf - proprietary matchmaking, anti-cheat and content generation tuned to your specific game.
  • A matchmaking AI MVP starts from $40,000-$100,000 and takes 10 weeks. Full gaming AI platforms with anti-cheat and content generation range from $150,000 to $350,000+.
  • Every Pharos Verified Delivery gaming AI sprint includes latency benchmarking at target CCU, false positive rate testing and player satisfaction A/B testing frameworks.
Limitations and considerations
  • Matchmaking AI requires 10K+ concurrent players per region to maintain match quality within acceptable queue times. Games below this threshold revert to simpler bracket-based matching.
  • Behavioral anti-cheat models are game-specific. Models trained for FPS input patterns do not transfer to MOBA or battle royale mechanics. Each title requires separate training data and model development.
  • Procedural content generation produces quantity but requires human curation for quality. Generated levels, assets and narratives need designer review to ensure they meet gameplay and aesthetic standards.
  • Dynamic difficulty adjustment can backfire if players detect it. Transparent skill-based systems are better received than hidden rubber-banding. Player trust requires careful UX design around AI-driven difficulty.

Pharos Production - Ready to build your product? From architecture to production - share your requirements and our engineering team will deliver a detailed estimate within 48 hours. Start Your Project.

Choose your cooperation model

Pilot
AI discovery and PoC

Feasibility study, prototype on your data and integration roadmap in four to eight weeks.

$14,000 - $30,000
Popular choice
Production
Production AI system

Full model development, API layer, cloud deployment and MLOps with monitoring.

$35,000 - $80,000
Enterprise
Enterprise AI platform

Multi-model architecture, custom data infrastructure, compliance and hybrid or on-prem delivery.

$85,000 - $190,000

Prices vary based on project scope, complexity, timeline and requirements. Contact us for a personalized estimate.

Or select the appropriate interaction model

Request staff augmentation

Need extra hands on your software project? Our developers can jump in at any stage – from architecture to auditing – and integrate seamlessly with your team to fill any technical gaps.

Outsource your project

From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.

Comparison of engagement models at Pharos Production
Model Best for Team setup Budget range
Staff Augmentation Existing teams needing extra engineers at any project stage 1-2 weeks From $5,000/month
Project Outsourcing Full-cycle development from idea to production launch 1-2 weeks $10,000-$80,000+

An approach to the development cycle

The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint there is a retrospective of the work done, planning for the next sprint, a report of the work done and a plan for the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).
  1. Team Assembly

    Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.

  2. MVP

    We’ll design, build, and launch your MVP, ensuring it meets the core requirements of your software solution.

  3. Production

    We’ll create a complete software solution that is custom-made to meet your exact specifications.

  4. Ongoing

    Continuous Support

    Our company will be right there with you, keeping your software solution running smoothly, fixing issues, and rolling out updates.

187+ technologies

Technologies, tools and frameworks we use

Our engineers work with 187+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.

Frameworks

Backend Frameworks 8

Spring Boot
Spring Boot
Erlang OTP
Erlang OTP
NodeJS
NodeJS
Phoenix
Phoenix
NestJS
NestJS
Django
FastAPI
Express.js

Front End Frameworks 8

React
React
Next.JS
Next.JS
Svelte
Svelte
Angular
Angular
Vue.js
Remix
Astro
Nuxt.js

AI and Machine Learning

LLM Providers 8

OpenAI GPT
Anthropic Claude
Google Gemini
Meta Llama
Mistral AI
Cohere
Ollama
xAI Grok

AI Frameworks 15

LangChain
LangGraph
CrewAI
AutoGen
Hugging Face
PyTorch
TensorFlow
scikit-learn
LlamaIndex
Keras
XGBoost
LightGBM
OpenCV
spaCy
ONNX Runtime

Vector Databases 7

Pinecone
Weaviate
Qdrant
Chroma
pgvector
Milvus
FAISS

MLOps and Infrastructure 11

MLflow
Weights & Biases
DVC
Kubeflow
AWS SageMaker
Azure ML
Google Vertex AI
NVIDIA Triton
Airflow
Ray Serve
vLLM

AI Agent Tools 4

OpenAI Agents SDK
Claude MCP
Semantic Kernel
Haystack

Blockchains

Private and Public Blockchains 33

Ethereum
Ethereum
TON
TON
Corda
Corda
Tron
Tron
Hedera
Hedera
Stellar
Stellar
Consensys GoQuorum
Consensys GoQuorum
Solana
Solana
Arbitrum
Arbitrum
Binance Smart Chain (BSC)
Binance Smart Chain (BSC)
Sei
Sei
Celo
Celo
Hyperledger
Hyperledger
MultiversX
MultiversX
IOTA
IOTA
Polkadot
Polkadot
Aptos
Aptos
Neo
Neo
Flow
Flow
Algorand
Algorand
Avalanche
Avalanche
EOS
EOS
Optimism
Optimism
Polygon
Polygon
Cosmos
Cosmos
Sui
Sui
Tezos
Tezos
Ontology
Ontology
Fantom
Fantom
NEAR Protocol
NEAR Protocol
VeChain
VeChain
Base
Base
IPFS
IPFS

Cloud Blockchain Solutions 4

Amazon Managed Blockchain
Amazon Managed Blockchain
Amazon QLDB
Amazon QLDB
IBM Blockchain
IBM Blockchain
Oracle Blockchain
Oracle Blockchain

DevOps

DevOps Tools 15

Kubernetes
Kubernetes
Terraform
Terraform
Docker
Docker
Istio
Istio
Prometheus
Prometheus
Grafana
Grafana
Jenkins
Jenkins
ArgoCD
ArgoCD
Ansible
Ansible
GitHub Actions
GitLab CI
Pulumi
Datadog
New Relic
Vault

Clouds

Clouds 6

Amazon Web Services
Amazon Web Services
Azure
Azure
Google Cloud
Google Cloud
Cloudflare
Vercel
DigitalOcean

Databases

Databases 15

PostgreSQL
PostgreSQL
MySQL MariaDB
MySQL MariaDB
Redis
Redis
Cassandra
Cassandra
Neo4J
Neo4J
MongoDB
MongoDB
Elasticsearch
Elasticsearch
Solr
Solr
Ignite
Ignite
ClickHouse
TimescaleDB
DynamoDB
Supabase
CockroachDB
ScyllaDB

Brokers

Event and Message Brokers 7

Kafka
Kafka
RabbitMQ
RabbitMQ
Flink
Flink
Apache Pulsar
Amazon SQS
Amazon SNS
NATS

Tests

Test Automation Tools 6

Postman
Postman
Appium
Appium
Cucumber
Cucumber
Selenium
Selenium
JMeter
JMeter
Cypress
Cypress

Programming

UI/UX

UI/UX Design Tools 12

Figma
Figma
Zeplin
Zeplin
InVision
InVision
Sketch
Sketch
Miro
Miro
Marvel
Marvel
Balsamiq
Balsamiq
Photoshop
Photoshop
Illustrator
Illustrator
XD
XD
After Effects
After Effects
Corel Draw
Corel Draw
Trusted & Certified

Partnerships & Awards

Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence

  • Partner1
  • Partner2
  • Partner3
  • Partner4
  • Partner5
12+ industry awards

FAQ

Last updated:

Quick answers to common questions about custom software development, pricing, process and technology.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production has been in business since 2013, with over 13 years of experience in custom software development. During this time, we have delivered over 70 applications for 200+ clients across 18 industries, including FinTech, healthcare, crypto and e-commerce. We are rated 5/5 on Clutch based on 73 verified reviews (2026).

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production provides six core service categories: Software Development (mobile apps, web platforms, database design, UI/UX), Blockchain Development (smart contracts, DeFi, tokenization on Ethereum, Solana, TON and other chains), Software Security (code audits, penetration testing, smart contract audits), Software Consulting (architecture design, MVP validation, startup consulting) and Software Testing and QA (manual, automation, performance and regression testing).

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production is headquartered in Las Vegas, Nevada, USA (5348 Vegas Dr, Las Vegas, NV 89108), with an engineering office in Kyiv, Ukraine (44-B Eugene Konovalets Str. Suite 201, Kyiv 01133). We work with clients worldwide and provide remote collaboration across all time zones. Visit our contact page for directions and scheduling options.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production has a team of 90+ engineers, including software developers, blockchain specialists, QA engineers, DevOps experts, UI/UX designers, project managers and solution architects. Our founder, Dr. Dmytro Nasyrov, holds a PhD in Artificial Intelligence and leads the technical direction of all projects.

  • Copy link Copies a direct link to this answer to your clipboard.

    We serve a wide range of clients, from startups and product companies to mid-sized enterprises and large institutions. Our clients include crypto exchanges, FinTech providers (like Pleenk), healthcare organizations, sportsbook operators (like Pro Gambling), e-commerce platforms and SaaS companies. Pharos Production has worked with 200+ clients across 18 industries since 2013, adapting engagement models to match each client’s stage, whether it is MVP validation for a startup or enterprise-scale development for an established business.

  • Copy link Copies a direct link to this answer to your clipboard.

    A custom software development company is a firm that designs, builds and maintains software tailored to a specific business’s needs, as opposed to off-the-shelf products. Custom software addresses unique workflows, integrations and scalability requirements that generic tools cannot. According to Grand View Research (2024), the global custom software development market is valued at over $35 billion and is projected to grow at a 22.3% CAGR through 2030. Pharos Production is a custom software development company founded in 2013, with a team of 90+ engineers delivering solutions across blockchain, FinTech, healthcare and 15 other industries.

  • Copy link Copies a direct link to this answer to your clipboard.

    Custom software development costs vary based on project scope and complexity. At Pharos Production, typical project ranges are: MVP development ($10,000-$25,000), suitable for startups validating a product idea; full-fledged production ($25,000-$50,000), for established businesses scaling a proven concept; and full-cycle development ($50,000-$80,000+), for complex enterprise-grade systems. These ranges include architecture design, development, QA testing and deployment. Final pricing depends on technology stack, number of integrations and engagement model (staff augmentation, dedicated team or project outsourcing).

  • Copy link Copies a direct link to this answer to your clipboard.

    Development timelines depend on scope and complexity. At Pharos Production, a typical MVP takes 2-4 months, a production-ready application takes 4-8 months and a complex enterprise system can take 8-12+ months. We use an agile methodology with 2-week sprints, delivering working increments after each sprint. Every sprint includes a retrospective, progress report and planning session for the next iteration. This approach ensures transparency and allows businesses to launch faster by prioritizing high-impact features first. Get a timeline estimate for your project.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production serves 18 industries: Crypto, Web3 and Blockchain (Kimlic, GridTradeX, NextCheck), Sports and Sportsbooks, Casino and Gambling (Gambit Stream, Lucky Bets), FinTech, Healthcare, E-Commerce, Insurance, Energy and Utilities, Education, Telecom, Media and Entertainment, Logistics and Transportation (Taxi Aggregator), Marketing, Banking, Construction and Real Estate, Agriculture and Travel. Our deepest expertise is in FinTech, blockchain and healthcare, where we have delivered compliance-ready platforms (HIPAA, PCI DSS, GDPR) and high-load systems handling thousands of concurrent users. For the latest industry insights, read our guides on FinTech trends in 2026 and the Web3 technology stack.

  • Copy link Copies a direct link to this answer to your clipboard.

    Hiring a software development company offers faster time-to-market, lower upfront costs and access to specialized expertise without long-term employment commitments. According to Deloitte’s 2024 Global Outsourcing Survey, 57% of companies outsource software development to access skills they cannot hire internally.

    Factor In-house team Software development company
    Time to assemble 3-6 months (recruiting + onboarding) 1-2 weeks
    Upfront cost High (salaries, benefits, equipment) Lower (project-based pricing)
    Specialized expertise Limited to who you can hire locally Access to 90+ engineers across blockchain, AI, FinTech
    Scalability Slow (each new hire takes months) Fast (scale up or down per sprint)
    Long-term commitment Full-time employment contracts Flexible engagement models
    Risk High if key engineers leave Company ensures continuity and knowledge transfer

    For businesses that need blockchain, AI or high-load architecture expertise, outsourcing to a specialized firm like Pharos Production reduces risk and accelerates delivery.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production focuses on mid-to-large custom software projects with budgets starting at $10,000. We do not take on template-based websites, WordPress theme customization, or short-term contracts under one month. We also do not provide non-technical staffing (marketing, sales or design-only roles). Our strongest fit is blockchain, FinTech and healthcare projects where security, compliance and high-load architecture are critical. For smaller projects or MVPs under $10,000, we recommend exploring freelance platforms or no-code tools as a more cost-effective starting point.

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    We use agile with 2-week sprints because it reduces the risk of building features that miss the mark. Each sprint ends with a working demo, a retrospective and a plan for the next iteration.

    This means clients see progress every 14 days and can adjust priorities based on real results, not assumptions. According to the Standish Group CHAOS Report (2024), agile projects are 3x more likely to succeed than waterfall projects. We chose this approach after years of experience showing that rigid, fixed-scope contracts lead to scope creep, missed deadlines and products that do not match market needs by launch day.

  • Copy link Copies a direct link to this answer to your clipboard.

    Custom development is not the right choice in every situation. You should not hire a custom software company if: your problem is fully solved by an existing SaaS product (e.g. Shopify for e-commerce, Salesforce for CRM); your budget is under $10,000 and timeline is under 4 weeks; you need a simple landing page or marketing website (WordPress or Webflow is faster and cheaper); or you are still validating the idea and have not spoken to potential users yet.

    In these cases, off-the-shelf tools or no-code platforms offer better ROI. Custom development makes sense when you need unique workflows, regulatory compliance, high-load architecture or competitive differentiation that packaged software cannot provide.

  • Copy link Copies a direct link to this answer to your clipboard.

    Here are three anonymized examples from our recent delivery history:

    FinTech startup - payment platform (MVP)
    Scope: mobile app + backend API with bank-grade encryption. Team: 4 engineers, 1 QA. Timeline: 10 weeks. Budget: $38,000. Result: launched on schedule, processed $2M+ in transactions within the first quarter.

    Healthcare provider - patient portal (Full product)
    Scope: HIPAA-aligned web platform with EHR integration, appointment scheduling and telemedicine. Team: 6 engineers, 1 DevOps, 2 QA. Timeline: 6 months. Budget: $120,000. Result: 15,000+ active patients, zero compliance violations in two annual audits.

    Crypto exchange - trading engine (Complex)
    Scope: high-load matching engine handling 50,000+ orders per second, multi-chain wallet infrastructure on Ethereum and Solana. Team: 8 engineers, 2 QA, 1 security auditor. Timeline: 11 months. Budget: $340,000. Result: 99.97% uptime, passed three independent security audits.

    See more projects: NoMoreBets, Pulse, Sagas, Gambit Stream and Pleenk. For the full portfolio, visit our case studies. Learn more about the technology behind these projects in our guide to stablecoins and crypto infrastructure.

Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let’s work together!

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Our offices

Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.

Las Vegas, United States

Headquarters PST (UTC-8)
5348 Vegas Dr, Las Vegas, Nevada 89108, United States

Kyiv, Ukraine

Engineering office EET (UTC+2)
44-B Eugene Konovalets Str. Suite 201, Kyiv 01133, Ukraine