Skip to content

AI Solutions for Healthcare

Pharos Production delivers AI-powered healthcare solutions that improve clinical outcomes and operational efficiency. From ambient clinical intelligence and medical document processing to predictive patient risk scoring and AI-powered triage systems, our team builds HIPAA-aligned AI that integrates with existing EHR systems via HL7 FHIR standards.

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

Your business results matter

Achieve them with minimized risk through our bespoke innovation capabilities

Your contact details
Please enter your name
Please enter a valid email address
Please enter your message
* required

We typically reply within 1 business day

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 healthcare 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 healthcare?

AI for healthcare is the application of machine learning, natural language processing and computer vision to clinical care, hospital operations and patient engagement. Unlike traditional healthcare IT that automates existing workflows, AI-powered healthcare systems learn from clinical data to support diagnostic decisions, predict patient risks, process medical documents and optimize care delivery. Common healthcare AI project types include clinical decision support systems, ambient clinical intelligence (voice-to-documentation), medical image analysis, predictive patient risk scoring, AI-powered triage, drug interaction checking and automated coding for medical billing.
Dmytro Nasyrov - Founder and CTO of Pharos Production

Reviewed by Dmytro Nasyrov

Founder and CTO

23+ years in software development. PhD in AI. Led healthcare AI projects including clinical decision support, medical NLP and EHR integration. aligned with ISO 27001.

What is AI for healthcare?
AI for healthcare is the application of machine learning, natural language processing and computer vision to clinical care, hospital operations and patient engagement. Unlike traditional healthcare IT that automates existing workflows, AI-powered healthcare systems learn from clinical data to support diagnostic decisions, predict patient risks, process medical documents and optimize care delivery. Common healthcare AI project types include clinical decision support systems, ambient clinical intelligence (voice-to-documentation), medical image analysis, predictive patient risk scoring, AI-powered triage, drug interaction checking and automated coding for medical billing.

Custom healthcare AI vs vendor AI solutions

Factor Custom AI (Pharos Production) Vendor Platforms (Nuance, Olive AI, etc.)
EHR integration Deep HL7 FHIR integration with any EHR (Epic, Cerner, Allscripts) Pre-built connectors for supported EHRs only
Clinical workflow fit AI models trained on your patient population and protocols Generic models tuned for average clinical settings
Data privacy PHI stays in your infrastructure, HIPAA BAA on your terms Data processed on vendor servers, shared infrastructure
Specialty coverage Custom models for your clinical specialties Limited to vendor-supported specialties
Regulatory path Full control over FDA SaMD classification and 510(k) process Vendor manages regulatory, limited transparency
Cost model One-time development + self-hosted inference Per-clinician or per-encounter licensing fees
Model transparency Full access to model architecture, weights and training data Black-box models, vendor controls updates

Pharos Production recommends custom healthcare AI for health systems with unique clinical protocols, multi-EHR environments or plans to pursue FDA clearance. Vendor solutions work for standardized use cases like medical transcription or basic clinical coding.

How to choose an AI company for healthcare

1 HIPAA compliance infrastructure, not just a BAA. The team must demonstrate PHI encryption, audit trails, access controls and breach notification procedures across all AI pipeline components.
2 Clinical domain expertise alongside ML engineering. Healthcare AI requires understanding of HL7 FHIR, DICOM, ICD-10/CPT coding and clinical workflows - not just model training.
3 FDA SaMD regulatory experience. If the AI makes clinical decisions, it may require FDA clearance. The team should understand 510(k) pathways and Software as a Medical Device classification.
4 Clinical validation methodology. Ask for prospective validation studies, sensitivity/specificity benchmarks and shadow mode deployment experience before go-live.
5 EHR integration track record. The team should have production experience with Epic, Cerner or Allscripts FHIR APIs and understand the nuances of vendor-specific implementations.
6 Bias testing for clinical AI. Healthcare AI must be validated across patient demographics (age, gender, ethnicity) to avoid disparities in clinical recommendations.

Pharos Production - Get your healthcare AI estimate in 48h. Share your clinical AI requirements - decision support, medical NLP, patient triage - and our HIPAA-aligned team will deliver a detailed estimate. Get a project estimate.

Reviews

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

Based on 8 verified client reviews

5 out of 5 stars
AI

Aligned with manufacturing constraints and workflows.

Brian Hess
5 out of 5 stars
AI

Initial strong start but later issues with deadlines, communication, and transparency.

Kenneth Phough
5 out of 5 stars
AI

Reliable delivery, clear communication, and consistent execution.

Erik Ploof
5 out of 5 stars
AI

Handled complex workflows and compliance effectively.

Scott Bates
5 out of 5 stars
AI

Delivered Web3, NFT, and smart contract functionality successfully.

Alex Gurych
5 out of 5 stars
AI

Delivered reliable frontend solutions with strong performance and timely execution.

Robin Kim
5 out of 5 stars
AI

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

Molly Lavie
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

Measurable results

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

Healthcare AI Benchmark 2026

Proprietary research based on healthcare AI projects delivered by Pharos Production. Dataset covers clinical decision support, medical NLP and patient risk scoring systems. Methodology (Pharos Verified Delivery): aggregated delivery metrics with clinical validation data. Full report available on request.

95%+ Medical document extraction accuracy
70% Reduction in clinical documentation time
< 500ms Clinical decision support response time
$60K-$500K+ Project cost range depending on complexity
12 weeks Average time to production-ready MVP
100% HIPAA-aligned across all deployments

AI Solutions for Healthcare trends shaping 2026

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

Ambient Clinical Intelligence

AI-powered voice documentation captures physician-patient conversations and generates structured clinical notes automatically. This reduces documentation burden by 70% and returns 2+ hours per day to direct patient care. Pharos Production builds ambient AI with medical NLP, HIPAA-aligned audio processing and EHR auto-population.

Predictive Patient Risk Scoring

ML models analyze EHR data to predict patient deterioration, readmission risk and disease progression 24-72 hours before clinical symptoms appear. Early warning scores reduce ICU mortality by 15-20%. Pharos Production deploys risk models integrated with nurse call systems and clinical dashboards.

AI-Powered Medical Imaging

Computer vision models now match radiologist accuracy for detecting lung nodules, retinal disease and skin cancer. The FDA has cleared 500+ AI imaging devices. Pharos Production builds DICOM-integrated imaging AI with explainability overlays that highlight regions of interest for clinician review.

Generative AI for Clinical Documentation

LLMs generate discharge summaries, referral letters and prior authorization documents from structured EHR data. RAG-grounded generation ensures accuracy against patient records. Pharos Production builds clinical document generation with source attribution and physician review workflows.

AI Agents for Care Coordination

Autonomous AI agents manage appointment scheduling, medication refill requests, pre-visit planning and post-discharge follow-up. Multi-agent systems coordinate across departments to reduce care gaps. Pharos Production builds healthcare agents with HIPAA-aligned conversation memory and human escalation paths.

Federated Learning for Multi-Site Research

Federated learning enables hospitals to collaboratively train AI models without sharing patient data. Each site trains locally, only model gradients are shared. Pharos Production implements federated ML pipelines for multi-site clinical research with differential privacy guarantees.

Key takeaways
  • Healthcare AI requires HIPAA-aligned infrastructure across all ML pipeline components - training data, feature stores, model registries and inference endpoints.
  • The global AI in healthcare market is projected to reach $187.95 billion by 2030 at 37% CAGR (<a href="https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-healthcare-market-report" target="_blank" rel="noopener">Grand View Research</a>). The FDA has authorized 1,451+ AI-enabled medical devices.
  • Custom healthcare AI enables models trained on your patient population, deep EHR integration and full control over FDA regulatory pathways.
  • A clinical NLP or triage AI MVP starts from $60,000-$120,000 and takes 12 weeks. Full clinical decision support platforms range from $200,000 to $500,000+.
  • Every Pharos Verified Delivery healthcare AI sprint includes HIPAA validation, clinical data testing and HL7 FHIR interoperability checks.
Limitations and considerations
  • Clinical AI requires 4-8 weeks of shadow mode validation (AI running alongside clinicians) before any production deployment. Skipping this step risks patient safety and regulatory exposure.
  • Healthcare AI models trained at one institution may not transfer to another due to differences in patient demographics, documentation styles and clinical protocols. Site-specific validation is mandatory.
  • FDA Software as a Medical Device (SaMD) classification may apply if the AI influences clinical decisions. The 510(k) clearance process adds 6-12 months and is outside Pharos Production development scope.
  • HIPAA compliance applies to every component in the AI pipeline - training data, feature stores, model registries and inference endpoints. This restricts cloud GPU options and increases infrastructure costs by 20-40%.
  • Medical NLP accuracy varies by clinical specialty and documentation style. Models achieving 95% extraction accuracy on structured discharge summaries may drop to 80% on free-text surgical notes.

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.

$16,000 - $40,000
Popular choice
Production
Production AI system

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

$40,000 - $90,000
Enterprise
Enterprise AI platform

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

$90,000 - $200,000

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
19+ 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).

  • 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.

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

    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!

Build your AI Solutions for Healthcare platform

90+ engineers ready to deliver your AI Solutions for Healthcare project on time and within budget

Your contact details
Please enter your name
Please enter a valid email address
Please enter your message
* required

We typically reply within 1 business day

What happens next?

  1. Contact us

    Contact us today to discuss your project. We’re ready to review your request promptly and guide you on the best next steps for collaboration

    Same day
  2. NDA

    We’re committed to keeping your information confidential, so we’ll sign a Non-Disclosure Agreement

    1 day
  3. Plan the Goals

    After we chat about your goals and needs, we’ll craft a comprehensive proposal detailing the project scope, team, timeline and budget

    3-5 days
  4. Finalize the Details

    Let’s connect on Google Meet to go through the proposal and confirm all the details together!

    1-2 days
  5. Sign the Contract

    As soon as the contract is signed, our dedicated team will jump into action on your project!

    Same day

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