
VPhrase Analytics Solutions
They help companies communicate insights from their data, in a personalised way, at scale.
Date | Investors | Amount | Round |
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investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
$2.0m | Series A | ||
Total Funding | 000k |
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VPhrase Analytics Solutions, established in 2015, operates in the artificial intelligence and analytics sector, focusing on making complex data accessible through natural language. The company was founded in Mumbai, India, by Neerav Parekh and Naimisha Neerav Parekh. The inspiration for the company came from Neerav Parekh's previous experience at a digital marketing agency, where he observed clients' difficulties in understanding traditional data reports. This led to the development of a platform that translates structured data into narrative insights.
The firm targets large and medium-sized enterprises across various industries including banking, financial services, insurance, pharmaceuticals, and retail. Its business model is B2B, providing its solutions through licensing and subscription fees. vPhrase offers a suite of products, with its flagship platform being Phrazor. This self-service augmented analytics tool analyzes data, derives insights, and communicates them in written, human-like language, aiming to reduce data misinterpretation. Phrazor can be integrated via API or installed on-premise and is used to generate personalized reports at scale, such as portfolio analysis, sales performance reports, and market research analysis. The company also offers Explorazor, a data exploration tool.
Since its inception, vPhrase has secured approximately $2.14 million in funding over five rounds, including a significant Series A round in August 2019 that raised $2 million. Key investors include Bharat Innovation Fund, Alpha Wave Global, and Microsoft Accelerator. The company holds multiple patents for its technology, which centers on Natural Language Generation (NLG) to create dynamic visualizations and narrations from digital data.
Keywords: natural language generation, augmented analytics, business intelligence, reporting automation, data storytelling, data analysis, enterprise software, AI, financial services, data visualization