AI often feels out of reach for farmers and small businesses. A new suite of assistants brings local, multilingual support to make AI useful.

The term Artificial Intelligence (AI) is very common in India. It is focused on global models trained on foreign data. But as we have seen, for the farmers and Medium Enterprises (MSMEs) AI is still out of reach. Hexitronics Automation LLP is trying to change this with the launch of Akiva, a suite of AI assistants designed specifically for Indian languages, industries, and realities. It is a multilingual agricultural assistant designed to bridge the gap between data and decisive action for farmers. It integrates with soil testing kits and local weather data to provide personalized, actionable advice in the farmer’s native language.
The company claims that it has the ability to correlate diverse data points, comprehend their meaning in a specific context, and execute by delivering a clear, prescribed action. Akiva 1 makes AI tangible, trustworthy, and transformative, one farm at a time.
The company sees this as the first step in a much larger mission. The scalable platform is designed to evolve, with two powerful versions on the horizon. Akiva Standard will be an AI assistant for all walks of life, acting as a versatile co-pilot for students, professionals, and small business owners to manage daily tasks, find information, and automate routine work, all with an understanding of the Indian context. Akiva Pro will serve the complex needs of industry and academia, functioning as a deep-research engine and cognitive operations co-pilot for manufacturers, researchers, and scholars, capable of advanced analysis and autonomous orchestration as envisioned in our platform.
The release states that the launch of Akiva Pro marks a major shift from simple data visibility to autonomous operation. Imagine a rice mill where you can not just display a data point but take action using this product. It can correlate a drop in power draw with a specific machine’s history, understand that this pattern signals a feeding bottleneck, and act immediately by sending a WhatsApp alert to the supervisor. Can this be the future where AI becomes a practical partner that reduces downtime, conserves energy, and empowers teams.






