Arkera
AI-powered platform for personalized investment intelligence.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
£4.0m | Series A | ||
| Total Funding | 000k | ||
| USD | 2021 | 2022 | 2023 |
|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 |
| EBITDA | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Arkera is a financial technology company founded in 2015 by Nav Gupta and Vinit Sahni, both of whom have extensive backgrounds in finance. The company developed an AI-driven platform named Atlas, designed to provide business intelligence solutions for financial institutions, wealth managers, and banks.
The core of Arkera's service is its platform that utilizes machine learning and neuro-linguistic programming to analyze vast amounts of unstructured data from sources like news articles, social media, and government statements. It processes this information to deliver personalized and contextualized market insights and investment opportunities, particularly focusing on the Exchange Traded Fund (ETF) market. The platform connects real-world events and news directly to relevant investment products, aiming to help financial professionals and their clients make more informed and timely investment decisions. By automating data analysis, Arkera's solution was built to speed up the decision-making process for financial analysts who are often overwhelmed with data.
The company's business model targets the brokerage industry and other financial institutions, effectively acting as a virtual sales and research function. It provides its technology through apps and APIs that deliver personalized alerts and intelligent investing insights. Arkera raised a total of $11.2 million over two funding rounds. The initial seed round in December 2015 raised $3.8 million, followed by a Series A round in April 2018 that secured $7.4 million, with lead investors including XTX Markets and Alan Howard. The funding was intended to further develop its machine learning technology and support global expansion.
Keywords: AI investment, wealth management, financial intelligence, business intelligence, machine learning, neuro-linguistic programming, investment opportunities, ETF market, brokerage solutions, market insights, data analysis, investment research, financial technology, personalized investing, investment decision-making, sales automation, portfolio optimization, real-time news analysis, financial data, quant technology