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AI Solutions for HR and Recruitment

Pharos Production builds AI-powered HR and recruitment platforms that transform talent acquisition and workforce management. From intelligent resume screening and candidate matching to predictive attrition analytics and automated onboarding workflows, our AI solutions reduce time-to-hire by 40-60% while improving candidate quality through bias-aware algorithms.

  • 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 hr and recruitment 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 HR and recruitment?

AI for HR and recruitment is the application of machine learning, natural language processing and predictive analytics to talent acquisition, employee management and workforce planning. Unlike traditional ATS (Applicant Tracking Systems) that filter resumes by keyword matching, AI-powered HR systems understand skills semantically, predict candidate-role fit, identify attrition risk and automate repetitive workflows while maintaining fairness through bias-aware algorithms. Common AI HR project types include intelligent resume screening, candidate matching engines, predictive attrition analytics, automated onboarding, workforce planning models, skills gap analysis and internal mobility platforms.
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 HR platforms and talent acquisition systems. aligned with ISO 27001.

What is AI for HR and recruitment?
AI for HR and recruitment is the application of machine learning, natural language processing and predictive analytics to talent acquisition, employee management and workforce planning. Unlike traditional ATS (Applicant Tracking Systems) that filter resumes by keyword matching, AI-powered HR systems understand skills semantically, predict candidate-role fit, identify attrition risk and automate repetitive workflows while maintaining fairness through bias-aware algorithms. Common AI HR project types include intelligent resume screening, candidate matching engines, predictive attrition analytics, automated onboarding, workforce planning models, skills gap analysis and internal mobility platforms.

Custom HR AI vs off-the-shelf recruitment platforms

Factor Custom AI (Pharos Production) Vendor Platforms (HireVue, Eightfold, Phenom)
Matching accuracy Models trained on your company hiring data and success patterns Generic models trained on cross-company data
Bias controls Custom fairness metrics aligned with your DEI goals and legal requirements Standard bias checks, limited customization
ATS integration Deep integration with your existing ATS, HRIS and payroll systems Pre-built connectors for supported platforms only
Skills taxonomy Custom skills ontology reflecting your industry and internal leveling Vendor-managed taxonomy, limited customization
Candidate experience Custom-branded, personalized application flows and AI chat Vendor-branded or co-branded experience
Data ownership All candidate and employee data stays in your infrastructure Data stored on vendor servers, shared models
Cost model One-time development + self-hosted inference Per-employee or per-hire licensing fees

Pharos Production recommends custom HR AI for companies hiring 500+ people annually, requiring industry-specific skills matching or subject to strict data residency requirements. Vendor platforms work well for standard recruitment workflows at smaller scale.

How to choose an AI company for HR technology

1 HR domain expertise plus ML engineering. The team must understand ATS workflows, competency frameworks, labor regulations and DEI requirements - not just model training.
2 Demonstrated bias testing and fairness methodology. Ask for specific fairness metrics (four-fifths rule, equalized odds), debiasing techniques and audit reports from deployed systems.
3 Production experience with ATS and HRIS integration. The team should have integrated with major platforms (Workday, SAP SuccessFactors, Greenhouse, Lever) and understand HR data models.
4 Candidate privacy and GDPR/CCPA compliance. HR AI handles sensitive personal data. The team must demonstrate data minimization, consent management and right-to-deletion capabilities.
5 Explainable AI for hiring decisions. Automated hiring decisions require transparency. The team should implement decision explanations that satisfy both candidates and compliance teams.
6 Skills ontology and semantic matching capability. Keyword matching misses 60% of qualified candidates. The team should demonstrate semantic skill matching with graph-based ontologies.

Pharos Production - Get your HR AI estimate in 48h. Share your talent acquisition, workforce analytics or onboarding requirements - our AI team will deliver a detailed estimate with projected efficiency gains. Get a project estimate.

Reviews

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

Based on 9 verified client reviews

5 out of 5 stars
AI

Delivered reliable frontend solutions with strong performance and timely execution.

Robin Kim
5 out of 5 stars
AI

Fast delivery with strong collaboration.

Charlotte Preston
5 out of 5 stars
AI

Handled complex workflows and compliance effectively.

Scott Bates
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

Innovative AI solutions that supported scaling.

Ryan Florin
5 out of 5 stars
AI

Aligned with manufacturing constraints and workflows.

Brian Hess
5 out of 5 stars
AI

Stable platform delivery with minimal disruption.

Amber Caruso
5 out of 5 stars
AI

Highly responsive team with strong communication and professionalism.

Imad Jazzar
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 HR and Recruitment Benchmark 2026

Proprietary research based on AI-powered HR projects delivered by Pharos Production. Dataset covers candidate screening, matching engines and workforce analytics platforms. Methodology (Pharos Verified Delivery): aggregated delivery metrics with hiring outcome data. Full report available on request.

40-60% Reduction in time-to-hire
3x Improvement in candidate quality (interview-to-offer ratio)
85% Reduction in manual resume screening effort
$35K-$300K+ Project cost range depending on complexity
10 weeks Average time to production-ready MVP
0 Disparate impact violations in deployed systems

AI Solutions for HR and Recruitment trends shaping 2026

Key technology shifts that impact how Pharos Production architects ai solutions for hr and recruitment software for clients.

AI Agents for Recruiting Workflows

Autonomous AI agents now handle end-to-end recruiting tasks - sourcing candidates, screening resumes, scheduling interviews, sending follow-ups and generating offer letters. Multi-agent systems coordinate recruiter, scheduler and assessor roles. Pharos Production builds recruiting agents with human approval gates for critical decisions.

Skills-Based Hiring with Semantic Matching

AI moves hiring beyond job titles and keyword matching to semantic skills understanding. Skills ontologies map equivalencies, adjacencies and growth trajectories. This expands candidate pools by 40-60% while improving quality of hire. Pharos Production builds graph-based matching engines using ESCO, O*NET and company-specific taxonomies.

Predictive Attrition and Retention Analytics

ML models identify employees at risk of leaving 3-6 months before resignation by analyzing engagement patterns, tenure data, compensation benchmarks and team dynamics. Early detection enables proactive retention interventions. Pharos Production builds privacy-preserving attrition models with aggregate-level insights.

AI-Powered Onboarding Automation

Personalized onboarding workflows adapt to role, department, location and experience level. AI generates customized training paths, schedules introductions and monitors onboarding completion. Automated onboarding reduces time-to-productivity by 30-40%. Pharos Production builds adaptive onboarding platforms integrated with HRIS and LMS systems.

Bias-Aware AI and Algorithmic Auditing

The EU AI Act classifies hiring AI as high-risk, requiring bias audits, human oversight and transparency. NYC Local Law 144 mandates annual bias audits for automated employment decisions. Pharos Production implements continuous fairness monitoring with automated regulatory reporting.

Internal Mobility and Skills Gap Analysis

AI identifies internal candidates for open roles, recommends upskilling paths and maps organizational skills coverage. Internal mobility reduces time-to-fill by 50% compared to external hiring. Pharos Production builds talent marketplace platforms with skills graph visualization and career pathing.

Key takeaways
  • AI for HR and recruitment requires bias-aware algorithms, semantic skills matching and compliance with EEOC, GDPR and local labor regulations.
  • The global AI in HR market is projected to reach $36.6 billion by 2032 at 24.1% CAGR. 73% of companies plan to invest in AI-powered talent acquisition.
  • Custom HR AI enables company-specific matching models, proprietary skills ontologies and bias controls aligned with your DEI goals.
  • A resume screening AI MVP starts from $35,000-$70,000 and takes 10 weeks. Full AI-powered talent platforms range from $120,000 to $300,000+.
  • Every Pharos Verified Delivery HR AI sprint includes automated fairness testing, bias audits and explainability validation for hiring decisions.
Limitations and considerations
  • Hiring AI is classified as high-risk under the EU AI Act and NYC Local Law 144. Mandatory annual bias audits and transparency reports add ongoing compliance costs and 4-6 weeks to initial deployment.
  • Resume screening models inherit historical hiring biases from training data. Debiasing techniques reduce but do not eliminate disparate impact - continuous fairness monitoring is a production requirement.
  • Semantic skill matching accuracy depends on skills ontology completeness. Industry-specific or emerging skill categories not covered in ESCO or O*NET require manual taxonomy extension.
  • Candidate data retention policies under GDPR require automated deletion workflows. Storing resume data beyond the hiring decision window (typically 6-12 months) creates compliance liability.

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.

$15,000 - $35,000
Popular choice
Production
Production AI system

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

$30,000 - $70,000
Enterprise
Enterprise AI platform

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

$75,000 - $170,000

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
17+ industry awards

FAQ

Last updated: Reviewed by: Dmytro Nasyrov (Founder and CTO)

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).

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    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).

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    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.

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    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.

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    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.

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    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.

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    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.

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    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