Trusted by enterprises worldwide, our AI POC development ensures the seamless validation and integration of AI technologies, empowering businesses to make informed, data-driven decisions.
We specialize in human-first digital product engineering, transforming your data with AI and ML to create actionable insights that scale, innovate, and deliver value.
Assess business goals and data readiness to align AI/ML solutions with objectives.
Analyze data quality and structure to ensure it’s ready for AI/ML integration.
Identify right AI/ML solutions tailored to business needs.
Evaluate existing systems for AI integration.
Train your machine learning model using labeled data.
Fine-tune hyperparameters to improve model's accuracy.
Develop prototypes and POCs to test developed AI solution's performance.
Provide continuous feedback and testing for adaptable AI model.
Seamlessly integrate the AI model into your existing system.
Ensure that deployment is scalable, secure, and reliable.
Provide continued post-deployment monitoring and support.
Ensure business impact and long-term scalability of the product.
Intellivon partnered with a multi-region healthcare enterprise to design and deploy an AI-powered predictive platform tailored for enterprise-scale healthcare operations. Leveraging millions of anonymized electronic health records, the system delivers real-time, personalized care recommendations that evolve with each patient’s longitudinal data.
Intellivon partnered with a multi-region healthcare enterprise to design and deploy an AI-powered predictive platform tailored for enterprise-scale healthcare operations. Leveraging millions of anonymized electronic health records, the system delivers real-time, personalized care recommendations that evolve with each patient’s longitudinal data.
We partnered with a global retail enterprise to revolutionize its digital storefront experience. By analyzing high-volume behavioral data in real-time, we implemented a machine learning-driven recommendation engine that delivers dynamic, personalized product suggestions at scale.
We partnered with a global retail enterprise to revolutionize its digital storefront experience. By analyzing high-volume behavioral data in real-time, we implemented a machine learning-driven recommendation engine that delivers dynamic, personalized product suggestions at scale.
Intellivon partnered with a publicly traded fintech company that manages millions of customer accounts to rearchitect its CRM for the AI era. Our solution integrated behavioral and transactional data into a real-time engine that predicted customer needs and automated tailored product recommendations—boosting both conversion and lifetime value.
Intellivon partnered with a publicly traded fintech company that manages millions of customer accounts to rearchitect its CRM for the AI era. Our solution integrated behavioral and transactional data into a real-time engine that predicted customer needs and automated tailored product recommendations—boosting both conversion and lifetime value.
A SaaS enterprise partnered with Intellivon to develop an enterprise-grade predictive analytics platform. Designed to enhance decision-making across sales, marketing, and customer success, the system used advanced machine learning to forecast churn, model customer behavior, and generate proactive insights.
A SaaS enterprise partnered with Intellivon to develop an enterprise-grade predictive analytics platform. Designed to enhance decision-making across sales, marketing, and customer success, the system used advanced machine learning to forecast churn, model customer behavior, and generate proactive insights.
Intellivon partnered with a global consumer goods enterprise to modernize and optimize its complex supply chain infrastructure using enterprise-grade AI. We deployed an AI-powered optimization platform that unified data from ERP systems, warehouse management, and third-party logistics providers to drive accurate forecasting, intelligent inventory control, and real-time logistics insights.
Intellivon partnered with a global consumer goods enterprise to modernize and optimize its complex supply chain infrastructure using enterprise-grade AI. We deployed an AI-powered optimization platform that unified data from ERP systems, warehouse management, and third-party logistics providers to drive accurate forecasting, intelligent inventory control, and real-time logistics insights.
We provide a robust MLOps toolkit that streamlines the ML lifecycle, ensuring optimal model performance and scalability for enterprise-level data solutions.
Our deep expertise in generative AI empowers businesses to create intelligent, automated solutions that unlock new opportunities and drive innovation.
We develop sophisticated machine learning models that extract valuable insights from large datasets, enabling scalable, intelligent digital solutions tailored to your specific needs.
We prepare your data for large-scale AI deployment, ensuring it’s clean, structured, and ready to fuel powerful AI-driven digital products that scale effortlessly.
Intellivon moves beyond POCs to deliver full-scale AI solutions, transforming your initial ideas into impactful, real-world applications that drive long-term growth.
With a combination of advanced AI tools and technologies, our tech stack delivers high-performance solutions for AI POC development, enabling fast, accurate results that validate your business vision.
Faster modernization cycle
Lower engineering costs
Fewer bugs and reworks
Faster launch timelines
AI POC (Proof of Concept) Development is a small-scale experiment to test the feasibility of AI solutions. It helps businesses assess technical viability, potential impact, and ROI with minimal risk before committing to full-scale development.
AI POCs help mitigate risks, validate ROI, provide faster iterations, and offer insights into data and skillset needs. They also help secure stakeholder buy-in with tangible results.
AI POC development typically takes 4 to 12 weeks, with simpler concepts potentially completed in just 4-6 weeks due to efficient development processes.
Costs range from $10,000 to $25,000 for simpler projects, while more complex solutions can range from $50,000 to $ 100,000 or more, depending on the project scope and data needs.
AI POCs benefit industries such as healthcare (diagnostics, treatment), Finance (fraud detection), Retail (personalization), Manufacturing (predictive maintenance), and Media (content automation).
Key steps include defining objectives, assessing and preparing data, selecting technology, developing models, testing & validating, and providing recommendations for scalability.
Challenges include poor data quality, unrealistic expectations, integration difficulties, and the "proof-of-concept trap" where projects fail to scale. Proper planning and clear communication help overcome these.
Choose a provider with proven expertise, industry experience, a solid portfolio, clear communication, agile methodologies, and a deep understanding of your business and data needs.
