IndoAI Technologies is revolutionizing AI adoption with its cutting-edge Edge AI cameras and Appization platform. In an interview with TimesTech, Eric Fonseca, Vice President of Marketing at IndoAI, shared how their innovative solutions provide scalable, affordable AI technology across industries like healthcare, retail, and smart cities. By enabling real-time insights, customizable AI models, and a simplified deployment process, IndoAI aims to democratize AI, enhancing security, efficiency, and operational excellence.
Read the full interview here:
TimesTech: Can you share more about IndoAI’s business model and how it aims to democratize AI across industries?
Eric: INDOAI’s business model centers on developing state-of-the-art AI-driven smart cameras and offering a platform that allows diverse industries to implement AI solutions in a cost-efficient, scalable, and accessible way. The company focuses on edge AI technology to deliver capabilities that will work better than traditional IP / CCTV camera functions, enabling industries to embed advanced AI models directly onto the cameras.
IndoAI Edge AI Camera & Appization platform Revenue Model
1. Hardware Sales; One-time camera sales with tiered pricing based on hardware specs.
2. Subscription Model (Appization Marketplace)
• Monthly/Annual Subscriptions: Access to AI models with tiered plans (basic to premium).
• Pay-Per-Model: One-time purchases for individual AI models.
3. Usage-Based Pricing
• Pay-as-you-go for AI model usage (e.g., per inference or data processed).
• Data Storage: Charge for cloud storage of camera footage or AI results.
4. Software Licensing
• Enterprise Licensing: Charge large organizations for deploying AI models across multiple cameras/sites.
• Custom AI Model Development: Offer tailored AI model creation and deployment services.
5. Maintenance & Support
• Extended Warranties and Priority Support plans for additional fees.
6. Data Insights & Analytics
• Offer advanced analytics and optimization services based on AI model output.
7. Leasing and Financing
• Leasing options for AI cameras with periodic upgrades.
• Financing plans for businesses looking for flexible purchase options.
8. Partnerships & Channel Sales
• Collaborate with resellers and system integrators for broader distribution.
9. OEM Licensing
• License IndoAI technology to third-party manufacturers for integration into their hardware.
TimesTech: What makes IndoAI’s Edge AI Camera stand out from other AI-driven solutions in the market?
Eric: INDOAI’s Edge AI Camera stands out from other AI-driven solutions in several key ways, combining advanced technology with a focus on customization, scalability, and affordability. Here are the main differentiators:
- Edge AI Processing: On-camera processing reduces latency and costs.
- Customizable AI Models: Flexible model deployment and an AI marketplace for tailored solutions.
- Industry-Agnostic Applications: Suitable for multiple sectors, adapting to various functions.
- Focus on Data Privacy & Security: On-device processing minimizes data breaches and aids compliance with regulations.
- Scalable & Plug-and-Play Deployment: Easy installation and scalability for large networks.
- Real-Time Insights and Decisions: Instant actions and low latency improve operational efficiency.
- Energy-Efficient Design: Reduces operational costs and supports sustainable practices.
- Seamless Integration with AI Models: Allows vendor collaboration and supports various AI frameworks.
- Affordable AI for SMEs: Cost-effective solutions and flexible payment models make AI accessible.
- Ethical AI with Human-Centric Design: Enhances human capabilities and promotes responsible AI development.
TimesTech: Could you elaborate on the concept of Appization and how it simplifies the deployment of AI models for businesses?
Eric: Appization empowers organisations by simplifying complex AI models into easily deployable, modular applications that can be chosen, installed, and managed with minimal effort. This approach democratises access to AI technology, enabling companies of all sizes to harness the power of AI without the need for significant technical expertise or substantial infrastructure investments. By facilitating easier AI deployment, INDOAI paves the way for wider AI adoption across industries, helping businesses enhance their operations, make informed data-driven decisions, and achieve greater efficiencies.
The concept of Appization within the context of INDOAI involves transforming intricate AI models into user-friendly, application-like solutions that businesses can implement without needing extensive technical knowledge. This method streamlines the integration and management of AI across various sectors by converting AI capabilities into modular, plug-and-play applications, similar to smartphone apps.
TimesTech: How does IndoAI’s technology contribute to enhancing security and operational excellence in industries like healthcare, retail, and smart cities?
Eric: As per my opinion, AI has tremendously transformed sectors like healthcare, retail and smart cities. INDOAI’s technology enhances security and operational excellence by offering real-time, intelligent monitoring and actionable insights tailored to the specific needs of industries like healthcare, retail, and smart cities. The combination of edge AI processing, customizable AI models, and data privacy protection makes INDOAI’s cameras a powerful tool for improving safety, efficiency, and overall business performance.
- Healthcare:
- Security: Tracks patient movements and provides real-time notifications.
- Efficiency: Improves staff management and patient flow.
- Retail:
- Security: Detects theft and ensures 24/7 surveillance.
- Efficiency: Analyses foot traffic and monitors inventory.
- Smart Cities:
- Security: Identifies criminal activities and improves safety responses.
- Efficiency: Enhances traffic management and monitors infrastructure.
- Key Benefits:
- Real-time Edge AI for immediate decisions.
- Customizable AI models.
- On-device processing for data privacy compliance.
TimesTech: What were some of the biggest challenges IndoAI faced during its early stages of development, especially in a competitive AI-driven industry?
Eric: In its initial phase, INDOAI encountered several challenges, including the development of cutting-edge AI technology, standing out in a competitive marketplace, and maintaining compliance with data privacy regulations. Other obstacles included educating customers about the advantages of edge AI and scaling tailored solutions across various industries. Furthermore, obtaining funding and attracting top talent were essential for the company’s growth.
6. What are IndoAI’s future growth plans, and how do you envision the role of AI tools evolving in India over the next few years?
Eric: INDOAI’s future expansion strategy focuses on extending its edge AI camera technology into additional sectors where traditional IP cameras as already in use such as manufacturing, logistics, and education, while refining its Appization model for more straightforward AI implementation. We seek to establish partnerships with AI vendors to develop a wider marketplace of AI solutions. In India, AI tools are anticipated to significantly impact industries like healthcare, agriculture, and smart cities, facilitating automation, enhancing decision-making, and streamlining operations. As the adoption of AI increases, ensuring affordability and accessibility will be crucial for democratizing its advantages across various industries and regions.
