Hyperlocal content is becoming increasingly important for businesses to expand into tier two and tier three cities in India. Devanagri, a data-driven generative AI company, is paving the way by developing a solution it calls Brain for Indian companies.

Nicole Kandra.said Co-Founder and CEO the aim About company moot in the age of Indic AI startups.

“Devanagari is dedicated to helping businesses move into new markets by providing hyperlocal content. Our machine translation capabilities enable businesses to convert their digital content into multiple languages, enabling them to reach a diverse customer base. can engage with,” Kandra explained.

Based in Noida and founded in 2011, Devanagri specializes in personalizing business communications for non-English speakers. The company recently raised an undisclosed amount. In a pre-Series A round led by Inflection Point Ventures. These newly acquired funds will be used for marketing, sales, technology expansion, R&D, infrastructure, and administrative expenses.

Devanagari leverages open source LLMs, such as the latest Llama 3, integrating it with its existing dataset and a proprietary translation engine for 22 languages. It tailors business communications to diverse linguistic audiences, seamlessly integrating its technology into both private and public infrastructure.

“We built application layers on top of our machine translation engine,” Kandra explained. “These layers allow users to upload documents, select languages, and customize content before translation. The system understands specific tones and terms, ensuring that the translated content Be consistent with the communication style of the business.

Similarly, a New York-based RPA firm UiPath recently partnered with Bhashini.. Central to this collaboration is the integration of Bhashini’s language models with the UiPath business automation platform. It will facilitate seamless translation of documents and other essential fields, especially targeting Indian languages ​​supported by Bhashini.

Companies like CoRover.ai And Serum AI They are also in the same field of building translation capabilities for companies. Even big tech companies, e.g Microsoft And Googleare focusing heavily on translation into Indic languages ​​to cater to the Indian market.

Then what is the ditch?

However, Kundra said Devanagari’s proprietary technology is at the heart of the initiative, and the company’s moat. “We built our own machine translation capabilities from the ground up,” Kundra said. “Businesses can use our APIs to integrate this technology directly into their platforms, localizing content in real time.”

The Devanagari dataset is robust, containing over 750 million data points across 22 Indian languages. “We initially built our models using a broad data set, and recently added SLMs and LLMs to increase quality and address gray areas that were identified,” Kundra said. done by customer feedback.”

The goal is to create a single mind for the business, integrating all touchpoints and datasets into an integrated system that understands and responds to the desired tone.

“We adapt existing models and integrate them with our proprietary technology, ensuring high-quality multilingual capabilities,” Kandra added.

Collecting data for such a comprehensive system is no small feat. “Our data comes from multiple sources, including open-source dataset corpus, customer data, and synthetic datasets that we create,” Kundra said, explaining that the introduction of new datasets from Bhashini will also help the company refine its models. does.

Devanagari’s multilingual capabilities extend beyond text-to-voice chat bots. “We are developing multilingual bots that allow users to communicate in their preferred languages, be it Marathi, Kannada, or any other language,” Kundra said, adding that they aim to reduce latency. to reduce from

The road ahead

Asked about Devanagari’s differentiating factor, Kundra emphasized its multilingual bots. “These bots are essential for companies operating across India. They handle calls in multiple languages, switching seamlessly to accommodate the caller’s preference, with minimal latency. “

Security and privacy are paramount, especially when working with government organizations, and customers such as UNDP, and Apollo, among many others. “All our modules are proprietary, which enables us to securely mount and position them in enterprises or government agencies,” Kundra assures.

Devanagari’s journey has been remarkable, with notable milestones such as his appearance on Shark Tank India 2022. “Multilingual communication is the need of the hour, and our solutions aim to optimize costs and improve the efficiency of enterprises.”

The firm has also received several prestigious awards, including Tycoon Award 2024 in San Francisco, Graham Bell Award 2023, and recognition as NASSCOM’s Emerging NLP Startup of India.

“Our machine translation engine is a core model. It enables us to build conversational bots that understand and respond in multiple languages ​​to specific business needs,” Kundra said.

As Devnagari looks to the future, its focus is on building comprehensive AI solutions that cater to India’s diverse linguistic landscape. “Our goal is to create an ecosystem where businesses can thrive in any language, offering seamless multilingual interactions and superior customer experiences,” concluded Kundra.