As businesses increasingly deal with large volumes of emails, documents, messages, calls and other digital information, the challenge is shifting from simply accessing data to turning it into timely and useful action. Sanjaya Maharana, Founder and Director of Neuratac Technologies Private Limited, believes practical artificial intelligence can help businesses address this challenge by reducing repetitive information-processing tasks and enabling teams to focus on work that requires human judgment and expertise.
With a background in artificial intelligence and machine learning engineering, Maharana has worked on applications involving communication, document processing and business workflows. His experience highlighted a recurring challenge across organisations: employees often spend significant amounts of time reading, sorting, extracting information and following up manually, even when much of that work can potentially be supported through automation.
This observation became one of the motivations behind Neuratac. Maharana says the company’s focus is not simply on experimenting with new AI capabilities, but on developing products that can become dependable parts of everyday business workflows. In his view, an AI demonstration may show what is technically possible, but a production-ready product must also be accessible, reliable and economically practical.
Neuratac follows a product-first approach centred on recurring business problems. According to Maharana, the company evaluates potential AI applications by asking whether they can reduce manual effort, improve response times or information quality, and integrate effectively into existing workflows. These considerations are intended to keep product development focused on practical business outcomes as AI technology continues to develop.
The company’s solutions cover multiple forms of business communication and information, including email, voice, SMS and documents. Maharana says that while these formats are different, they often contain similar types of business signals. An email may contain a customer request, a phone conversation may reveal an operational requirement, an SMS may require follow-up, while a document may contain information that needs to be extracted and acted upon.
Products such as NMail AI, Neuratac Voice AI, SMS Intelligence and SparkFeed represent different applications of this broader vision. Neuratac also works on industry-specific intelligence designed to provide additional context for particular business environments.
The common objective, Maharana explains, is to help organisations understand incoming information and determine what action may be required. This includes identifying intent, extracting relevant information, prioritising tasks and supporting follow-up processes.
As AI becomes increasingly integrated into enterprise operations, Maharana also highlights the importance of reliability, privacy and human oversight. He says Neuratac’s approach involves clearly defining what an AI system should do, what information it requires and where human judgment should remain part of the process.
The company focuses on grounding AI responses in relevant information, validating outputs, controlling access and monitoring performance. Maharana also notes that selecting an AI model requires consideration of multiple factors, including accuracy, response time, privacy requirements and operating costs.
Human oversight, he says, should reflect the potential consequences of an AI-assisted action. An AI-generated spam or fraud-risk signal, for instance, can support a business decision without automatically becoming the final decision. The objective is to develop systems that can handle uncertainty responsibly while giving businesses meaningful control over how AI is used.
Maharana also sees an opportunity for Indian AI companies to develop products that can address international business requirements. He believes that focusing on specific workflows can provide a path to global relevance, particularly because challenges such as communication overload, document-heavy operations and slow customer follow-up exist across different markets.
Building products for the Indian market can also require consideration of multilingual interactions, varied operating environments and affordability. Maharana believes these factors can help Indian technology companies develop products with flexibility and practical usability that can eventually serve customers internationally.
For Neuratac, the objective is to combine technical capabilities with an understanding of real business requirements. Rather than developing technology without a defined use case, the company is focusing on applications where AI can address identifiable operational challenges.
One of the biggest challenges in this process is making advanced AI dependable under real-world conditions. Maharana points out that business inputs are often incomplete or inconsistent. Documents can vary in structure, conversations can be unpredictable and external systems can sometimes be slow or unavailable.
As a result, building an effective enterprise AI solution involves more than selecting a capable model. It also requires validation, error handling, monitoring and clear processes for situations where the system cannot confidently resolve a task. Accuracy, response time and operating costs also need to be evaluated together to ensure that the overall workflow remains practical and sustainable.
Looking ahead, Maharana’s vision is to establish Neuratac as an enterprise AI product company built from India and serving customers globally. The company’s immediate priorities include strengthening product reliability, validating solutions with businesses and developing repeatable commercial deployments.
As the company expands, Neuratac aims to deepen its expertise in selected business workflows and explore international markets where its products can address clearly defined needs. For Maharana, the long-term measure of success is not simply how advanced the underlying AI technology becomes, but whether customers continue to use the products because they make everyday work easier and deliver practical value.
His approach reflects a broader philosophy around enterprise AI: technology should not be developed simply because it is possible, but because it can solve a genuine problem. As organisations continue to manage growing volumes of information, Neuratac is positioning its products around the goal of helping businesses move from information overload toward more structured, efficient and actionable workflows.