Geniusee is a U.S.-based AI and software engineering company with delivery hubs in Ukraine and Poland. We help SMBs and enterprises replace costly legacy systems with scalable AI-powered digital platforms, improve operational efficiency, and accelerate time-to-market through cloud-native and data-driven solutions.
Our team of 300+ engineers, data scientists, and cloud specialists has delivered over 200 projects for global organizations including Dell, Bloomberg, LKQ, Chegg, and Alvarez & Marsal. As an AWS Advanced Tier Services Partner with ISO 9001, ISO 27001, and ISTQB-certified QA processes, we ensure enterprise-grade security, compliance alignment, and predictable delivery standards. Our engineers use AI-assisted development tools such as Сursor, Copilot and Claude to increase productivity and streamline software delivery by up to 30%.
We also provide and deploy AI agents for practical enterprise use cases, including unit test coverage agents, QA automation agents, and migration agents (e.g., React version upgrades, iOS/Android modernization).
What we offer:
1. Engineering Teams, Staff Augmentation & Product Operations
Dedicated cross-functional engineering teams, team extension models, QA automation, product support and maintenance, legacy modernization.
2. AI & Data Solutions
AI agentic workshops, enterprise AI agent embedding, AI and data engineering, generative AI, intelligent automation, data science, and analytics.
3. Digital Product Development
End-to-end web and mobile development, UX/UI design, MVP and POC delivery, product scaling.
4. Cloud & Platform Engineering
Cloud-native development on AWS, Google Cloud, and Azure, serverless architecture, platform engineering, DevOps enablement.
5. Product Strategy & Discovery
Discovery phase, product scope definition, solution and architecture vision, product roadmap, technical feasibility assessment.
Innovate. Accelerate. Thrive — with Geniusee.
Geniusee is a U.S.-based AI and software engineering company with delivery hubs in Ukraine and Poland. We help SMBs and enterprises replace costly legacy systems with scalable AI-powered digital platforms, improve operational efficiency, and accelerate time-to-market through cloud-native and data-driven solutions.
Our team of 300+ engineers, data scientists, and cloud specialists has delivered over 200 projects for global organizations including Dell, Bloomberg, LKQ, Chegg, and Alvarez & Marsal. As an AWS Advanced Tier Services Partner with ISO 9001, ISO 27001, and ISTQB-certified QA processes, we ensure enterprise-grade security, compliance alignment, and predictable delivery standards. Our engineers use AI-assisted development tools such as Сursor, Copilot and Claude to increase productivity and streamline software delivery by up to 30%.
We also provide and deploy AI agents for practical enterprise use cases, including unit test coverage agents, QA automation agents, and migration agents (e.g., React version upgrades, iOS/Android modernization).
What we offer:
1. Engineering Teams, Staff Augmentation & Product Operations
Dedicated cross-functional engineering teams, team extension models, QA automation, product support and maintenance, legacy modernization.
2. AI & Data Solutions
AI agentic workshops, enterprise AI agent embedding, AI and data engineering, generative AI, intelligent automation, data science, and analytics.
3. Digital Product Development
End-to-end web and mobile development, UX/UI design, MVP and POC delivery, product scaling.
4. Cloud & Platform Engineering
Cloud-native development on AWS, Google Cloud, and Azure, serverless architecture, platform engineering, DevOps enablement.
5. Product Strategy & Discovery
Discovery phase, product scope definition, solution and architecture vision, product roadmap, technical feasibility assessment.
Innovate. Accelerate. Thrive — with Geniusee.
AI Overview
Performance snapshot
Geniusee presents a consistently strong performance profile across all 12 reviews, drawn exclusively from one platform spanning 2020 to 2023. The vendor earns top marks in technical expertise, communication, and client satisfaction, with no meaningful negative feedback across any engagement. Recurring themes include proactive project management, cross-domain technical depth, and long-term partnership orientation. The absence of mixed or weak signals across categories reflects a coherent and dependable delivery track record.
Performance breakdown
Technical expertise
StrongMultiple reviews cite deep capability across software development, MLOps/Kubeflow pipelines, cloud infrastructure, DevOps, mobile, and AI. Reviewers specifically highlight the team's ability to solve complex problems independently and suggest improvements proactively.
Project management & delivery
StrongSeveral clients confirm on-time, on-budget delivery using Jira, Trello, Kanban, and Figma. One client noted a mobile app was production-ready within six months with full test automation, reflecting structured and efficient delivery practices.
Communication & collaboration
StrongReviewers consistently praise daily standups, Slack-based transparency, and direct staff accessibility. One review noted Geniusee's CEO personally attended key product meetings, underscoring an unusually high level of collaborative engagement.
Reliability
StrongClients cite 4-year and 18-month ongoing partnerships with consistent delivery and post-launch support. One reviewer reported a live app serving 1,000 monthly users, and another noted complete automated and unit testing coverage, indicating stable, production-grade output.
Client satisfaction & outcomes
StrongTangible outcomes include a 4.5-star App Store rating, a platform serving 1,000 monthly users, successful cloud infrastructure migration, and new product launches. All 12 reviewers awarded 5.0 ratings with no reported dissatisfaction or unmet expectations.
Best for
Geniusee is best suited for startups and scale-ups requiring end-to-end software development, mobile applications, AI/ML pipelines, or cloud infrastructure. Their strength lies in long-term partnership engagements where technical depth, proactive communication, and post-launch support are priorities.
Clients info
Geniusee's clients span AI/ML platforms, fintech, student accommodation, e-commerce, and media verification sectors. Reviewers are predominantly founders and C-suite executives, suggesting a lean toward startup and early-stage company engagements. Project budgets range from $10,001 to $200,000, indicating mid-tier engagement sizes. Primary industries represented include Artificial Intelligence / ML, Fintech, EdTech / Student Accommodation, E-commerce, Media Verification. Typical client size bands include Startups, Early-stage scale-ups, SMBs. Common project budget ranges include $10,001 to $50,000, $50,001 to $200,000.
Review strength
The assessment is based on 12 reviews sourced from a single platform, spanning October 2020 to May 2023. While the volume is adequate, the lack of platform diversity limits cross-validation. Reviews older than one year account for the majority of the dataset, with the most recent review dated May 2023. Review date range: Oct 07, 2020 - May 11, 2023.
Performance breakdown
Technical expertise
StrongMultiple reviews cite deep capability across software development, MLOps/Kubeflow pipelines, cloud infrastructure, DevOps, mobile, and AI. Reviewers specifically highlight the team's ability to solve complex problems independently and suggest improvements proactively.
Project management & delivery
StrongSeveral clients confirm on-time, on-budget delivery using Jira, Trello, Kanban, and Figma. One client noted a mobile app was production-ready within six months with full test automation, reflecting structured and efficient delivery practices.
Communication & collaboration
StrongReviewers consistently praise daily standups, Slack-based transparency, and direct staff accessibility. One review noted Geniusee's CEO personally attended key product meetings, underscoring an unusually high level of collaborative engagement.
Reliability
StrongClients cite 4-year and 18-month ongoing partnerships with consistent delivery and post-launch support. One reviewer reported a live app serving 1,000 monthly users, and another noted complete automated and unit testing coverage, indicating stable, production-grade output.
Client satisfaction & outcomes
StrongTangible outcomes include a 4.5-star App Store rating, a platform serving 1,000 monthly users, successful cloud infrastructure migration, and new product launches. All 12 reviewers awarded 5.0 ratings with no reported dissatisfaction or unmet expectations.