Digitals AI is a product-focused artificial intelligence company offering a unified platform that helps businesses across industries integrate adaptable, secure, and cost-effective AI solutions. Digitals AI delivers its services through the Digitals Unified AI Platform, which features a modular ecosystem of micro-apps—each designed to solve specific business needs and enable seamless AI adoption without the need for external dependencies.
The platform's core value lies in its modular micro-app architecture. This allows organizations to easily activate and scale AI capabilities on demand, tailoring solutions to their requirements while maintaining efficiency and cost control. By providing a unified, flexible environment, Digitals AI aims to make advanced AI accessible and manageable for companies of various sizes and sectors.
How was Digitals AI started?
Digitals AI was founded by a team with deep expertise in artificial intelligence and software development. The leadership includes Adrian Luchian (Chief Executive Officer), Chaitanya Moparthi (Chief Technology Officer / Founder), Raymond Hayashi (Senior Architect Artificial Intelligence), and Mohana Murugan (Engineer, AI Research). Their combined backgrounds in AI research and product engineering shape the company's focus on delivering practical, scalable AI products.
Who uses Digitals AI?
Digitals AI serves a diverse customer base looking for modular AI tools that adapt to specific business requirements. Notable companies utilizing the Digitals Unified AI Platform include:
- MrBeat
- Urban helpdesklatest
- Runwaaay helpdesklatest
- Quantum helpdesklatest
- Lunaxy helpdesklatest
- Gourmet helpdesklatest
- Harvest helpdesklatest
This range of customers demonstrates the platform's applicability across industries, from technology startups to service organizations.
What makes Digitals AI different?
Unlike many AI providers that rely on external services or one-size-fits-all products, Digitals AI emphasizes a self-contained, modular system. Businesses can pick and choose the micro-apps most relevant to their needs and scale their AI capabilities as requirements evolve. This approach supports flexibility, scalability, and greater control over data security and costs.
For more about their platform and history, visit their About page.
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