Increased operational efficiency
By integrating AI into your processes, you will eliminate repetitive tasks, gaining a simple and scalable AI solution.
Enhanced customer experience
With AI integration, your users will benefit from improved services, leading to a 5% increase in NPS.
Innovation & competitive advantage
You elevate your business to a higher level, attracting up to 5% more new users through advanced AI-driven features.
Edtech
Empower your learners with task optimization and personalization while providing educators with AI-powered insights for advanced real-time progress tracking.
Fintech
Leverage machine learning and predictive analytics to personalize customer service, predict investments, assess credit risk, and detect fraud fastly and more effectively.
Real estate
Make smarter decisions with AI-driven automation for property valuation, enhanced lead qualification, superior customer experience, and cost reduction.
Retail
Convert your data into meaningful insights with our AI models: improve demand forecasting, personalize recommendations and promotions, and optimize pricing and inventory.
Our portfolio
Scaling Edge AI & computer vision: QuantumEye real-time surveillance platform
Geniusee helped the QuantumEye AI platform that upgrades legacy CCTV with real-time detection, instant incident notifications, and decision-ready analytics.
Case details
Anatomy Financial: Automated financial management software for healthcare
Anatomy introduces an innovative solution designed to automate document processing, compare various documents and banking transactions, and handle the intricacies of physical check processing. By conducting a thorough analysis, the system identifies discrepancies between the declared prices of medical procedures and the actual amounts received by the clinic.
Case details
MartechCompose AI: Advanced content writing solution
We partnered with Compose AI to enhance their AI-powered writing platform through cloud migration, UX improvements, seamless integrations, and scalable feature development, upporting their growth from YC-backed startup to a widely adopted productivity tool.
Case details
MartechForethought: Enterprise AI agents for customer support
Forethought partnered with Geniusee to extend and integrate its AI-powered support platforms (Assist and Discover) into complex enterprise environments. We helped enhance real-time agent assistance, streamline multi-system connectivity, and deliver a unified support experience across channels. The result is a scalable AI agent ecosystem that accelerates resolution times, boosts team productivity, and powers more consistent customer experiences.
Case details
Enhancing FactMata’s AI to detect misleading content at scale
We partnered with Factmata to scale their AI platform for analyzing online content at volume, enhance data pipelines, and modernize their NLP models. Our team strengthened system performance, improved processing efficiency, and enabled Factmata to handle millions of records with higher accuracy and lower operational cost. By implementing our expertise in machine learning, natural language processing, and data analysis, we worked closely with FactMata to create web scrapers and optimize data pipelines and the project’s overall performance. The client addressed Geniusee to modernize their platform by combining real-time IoT data, AI analytics, and an intuitive user experience. The result: a scalable, secure, and analytics-driven ecosystem that helps enterprises make informed workspace decisions.
Case details
AI-driven-communication-assistant
Our client is a technology company specializing in providing services for industries with highly regulated communications. Their AI-based expertise allows to make those processes more simple. Geniusee was entrusted with migrating client’s infrastructure from Azure to Amazon, aiming to consolidate their crucial infrastructure in one place. The project involved migrating their database and leveraging Amazon services to optimize the system's scalability, security, and performance.
Case details
1 step – Discovery
We begin by evaluating your vision, objections, and pain points to define an AI strategy for your project. This stage identifies risks and opportunities.
2 step – Preliminary analysis and data collection
In collaboration with your team, we conduct in-depth research on your market and collect data from your current systems. At this stage, it’s important to analyze, structure, and clean data to ensure accuracy and provide a solid foundation for AI development.
3 step – AI solution planning
With the problem defined and data in place, our team starts developing a strategic plan, selecting the appropriate AI models and tech stack, setting timelines, and allocating resources.
4 step – Pilot project launch
Our engineers build initial AI prototypes to validate the solution’s feasibility with your team. This stage is geared toward multiple iterations until we achieve a ready-to-deploy solution aligned with your vision.
5 step – Deployment and integration
Once finalized, we launch an AI solution that seamlessly integrates into your legacy systems, without significant disruptions into your processes.
6 step – Optimization and support
The ultimate stage covers ongoing monitoring of the models and making adjustments to maintain peak performance. Also, to ensure our solution is accurate and effective as your business grows, our team is always at your disposal to provide regular updates and continuous support.
Genuisee’s versatile experience, gained over more than 8 years, has enabled us to form a team with a proven track record.
A trusted partner
With over 8 years of experience in delivering custom software solutions and expertise across 180+ projects, we know how to scale your business by deploying cutting-edge solutions. From industry giants like Dell and Bloomberg to rising startups, we’ve consistently boosted businesses’ ROI through full-cycle software development.
Solid tech background
Our process goes beyond a cookie-cutter approach. Our team of 50+ domain-specific tech specialists is dedicated to solving your specific challenges. By staying ahead of industry trends, we ensure your project benefits from the latest innovations and best agile practices.
Flexible engagement models
Your goals shape our strategy. Whether you need a short-term AI solution to tackle immediate business challenges or a long-term partner to develop a comprehensive AI strategy, we offer custom models tailored to your needs and growth plans.
Certified AWS Partner delivering secure, scalable cloud-native solutions.
ISO-compliant processes ensuring quality, security, and reliability.
Trusted integration partner for financial data connectivity and open banking.
Team of ISTQB-certified QA engineers for world-class software testing.
Consistently rated ★5.0 by clients for reliability and delivery excellence.
Accredited partnership supporting advanced testing and continuous QA automation.
Can you integrate AI solutions into existing software?
Yes, absolutely. This is one of our core responsibilities. Our enterprise AI services ensure that all advanced technologies can be integrated into a variety of systems, including customer relationships management (CRM), content management systems (CMS), human resource management (HRM), enterprise resource planning (ERP), data analytics platforms, customer support systems, etc.
How long does it take to develop an enterprise AI solution?
There is no one-size-fits-all timeline. Once your objectives, existing data, and expectations are evaluated, we set up tailored milestones. We consider factors such as model complexity, the state of your current business processes, workflows, and required applications. On average, it can take anywhere from 3 to 6 months to develop a full-fledged AI project.
How much does enterprise AI development cost?
The cost depends on such criteria as project scope, your business requirements, including scalability, the complexity of your business case, and the level of customization. For a more detailed estimate, please book a free consultation with our team to assess your unique case.
What security features do you incorporate to protect enterprise AI applications?
First and foremost, we adhere to industry compliance standards. We conduct regular code reviews, assessing the vulnerabilities and apply robust data encryption and authentication. Our quality assurance specialists regularly audit and test security measures to keep your sensitive data safe.
What are common applications of enterprise AI?
Some examples include:
- Quality control and assurance programs
- Customer service virtual assistants
- Fraud detection systems
- Process automation software
- Predictive maintenance systems
- Supply chain optimization tools
