BeEpic: Digital tipping and appreciation app
BeEpic is a mobile app that reimagines tipping and appreciation for everyday services, where the giver and receiver may never meet in person. Geniusee helped the startup design and develop an MVP with accurate geolocation logic, asynchronous gratitude matching, and a scalable technical foundation for future enterprise integrations.
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K’CIDADE Academy: How we built an AI-powered learning platform for AKF Portugal
K'CIDADE Academy is AKF Portugal's professional learning platform for civil society organizations, educators, and community leaders. Built on adaptive learning pathways, an AI virtual tutor, and a gamified progress system, it delivers personalized training to professionals working across social inclusion, education, and community development.
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How we scaled a multidimensional platform for human alignment
ALIGNMETRIX focuses on measuring internal human alignment through structured, data-driven assessments. To bring this methodology into a scalable product, the company engaged Geniusee to build a mobile and admin platform with analytics and subscription management.
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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.
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LogisticsPro QC: Streamlining inspections and audits with modern technology
As a long-standing provider of inspection and supplier management services, Pro QC supports clients in over 88 countries with product, factory, and process evaluations. Their global reach created operational complexity that legacy, document-based workflows could no longer handle efficiently. To improve accuracy and streamline work across regions, Pro QC engaged Geniusee to design a digital system that replaces manual processes with structured, scalable workflows.
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Real estateHow Geniusee helped iotspot optimize hybrid workplaces with AI and IoT analytics
iotspot is a Dutch technology company focused on enabling hybrid workplaces through IoT-powered data intelligence. Iotspot helps enterprises track workspace usage, air quality, and employee movement to design more efficient, sustainable offices. 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
Definition of a business case and use case
We establish quantifiable success measures, anticipated ROI, and automation goals.
Designing and prototyping conversations
For validation, we develop interactive prototypes and dialogue flows.
Integration of LLM and architecture
Using RAG, embeddings, vector databases, and API connections, we create scalable infrastructure.
Optimisation and training
We examine real-world events, optimize answer quality, and tweak prompts.
Deployment and observation
We start by implementing cost-optimization and performance-monitoring techniques.
Ongoing development
Based on actual user interactions and analytics data, we improve conversation models.
Genuisee’s versatile experience, gained over more than 8 years, has enabled us to form a team with a proven track record.
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.
What is conversational AI consulting?
Conversational AI consulting helps companies create, deploy, and refine chatbots, virtual assistants, and AI agents. System integration, LLM selection, architecture design, and strategy development are all included. The aim is to deliver quantifiable business results, such as automation, cost savings, and enhanced customer engagement.
How can conversational AI development services benefit my business?
Up to 60–80% of routine customer contacts can be automated with conversational AI. It reduces operating expenses, improves the user experience, and speeds up response times. It also makes it possible for large-scale, multichannel, personalised communication.
How long does it take to implement a conversational artificial intelligence solution?
We leverage modern tech stacks, including AWS, Azure, and Google Cloud for infrastructure. Popular development frameworks Within six to ten weeks, a rudimentary conversational AI MVP can be released. It usually takes two to four months to implement more complex business applications with connectors, RAG pipelines, and regulatory requirements. System integrations, data preparation, and complexity all affect the timeline.With our Estimator, you can determine the approximate time and cost required to adopt conversational AI.
Can conversational AI technology integrate with our existing systems?
Indeed, corporate databases, helpdesk platforms, payment systems, CRMs, and ERPs may all be integrated with conversational AI solutions. To guarantee smooth connectivity, we make advantage of cloud-native architecture, secure middleware, and APIs. When properly integrated, AI agents can do more than just respond to enquiries; they can also automate actual activities.
How do you measure the success of a conversational AI system?
We define clear KPIs, including automation rate, resolution time, customer satisfaction, and cost savings. Performance is continuously monitored using conversational analytics and feedback loops. This ensures ongoing optimization and long-term ROI from your AI investment.
