|Axial is but one example of a new financial-technology firm|
In finance for over a decade, some companies have sprouted from scratch and used technology in clever ways to provide new services, new analytics, or new ways of doing financial transactions or providing financial analysis, advice, or processing. And we aren't necessarily talking about technology being used to ignite explosive high-frequency, black-box trading in equity markets.
Some of these financial-technology start-ups have come and gone or been acquired by large established institutions. Some have thrived. And others were launched in the last few years and have just begun to take off with a critical mass of clients or customer activity.
In New York last month, a few new companies made presentations at a business-school networking function to explain to investors, bankers, and industry participants what hole they wish to plug in the industry and how technology does it. Their ideas are off and running, the business model in place, and revenues trickling in and growing steadily.
Axial is one example. Years after getting his MBA from Stanford and working in private equity, Peter Lehrman started the company a few years ago because he thought there was a better way to help middle-market companies and entrepreneurs seek financing from banks and investors or seek M&A advice from investment banks and advisory firms. The firm established an electronic network to connect companies with investors, advisers, banks, investment banks, and other financial institutions.
Lehrman calls his Axial network a "Linkedin" for mid-size companies and for the banks that seek to do business with them. Members of the growing network purchase subscriptions (which explains its revenue model), get access companies in the network and exchange relevant data and information. Companies can find the right match with a bank or private-equity investor. Financial institutions can find the right match in seeking a company client. They all get to become better acquainted with each other.
Today, there are about 15,000 members of the Axial network, including over 200 small companies and entrepreneurs. Axial, founded in 2010, is based in New York.
Is there a quicker, better way of taking voluminous amounts of financial data and prepare reports for investors and clients? Is there a faster way for financial institutions to comb through hundreds (or thousands?) of pages of transactions and business data and prepare summary reports for regulators, investors or board members?
Narrative Science, a four-year-old company based in Chicago, says it has a solution. It has a patented artificial-intelligence platform (called "Quill") that digests and analyzes data and presents a summary in the form of written reports. The platform provides many services, depending on a client's need. Equity research analysts or financial consultants use it to prepare investment-portfolio reports or market updates. The company claims the platform doesn't just spit out verbiage, but provides insight, analysis, and trend forecasts.
Reports can be formatted in the way clients prefer. They can also be as long, short, detailed or simple as desirable. The company now has about 50 clients, most of whom are financial institutions.
Leigh Drogen decided to start his company, Estimize, when he saw an opportunity to aggregate vast amounts of information from equity research analysts who provide earnings forecasts for thousands of companies. From quarter to quarter, equity analysts provide earnings estimates based on their own research. They often update their forecasts during the quarter, right up until the company makes a formal earnings announcement.
Investors who rely on earnings forecasts and updates have had to aggregate by themselves the views, opinions and forecasts from dozens of analysts. For example, investors with a stake in Microsoft stock will want to know how analysts assess the company and project its earnings and stock price. They might attempt to compile the numbers of many analysts.
Estimize uses technology to do it faster and more easily. It aggregates the projections and earnings estimates for about 900 companies, compiling information from over 3,500 analysts who send information to the firm. The firm presents a summary of the analysts' forecasts. In describing his firm, founder Drogen says it has an "orthogonal" (independent) approach to providing earnings estimates for companies and explained that the firm is "Wikipedia"-like in providing information to clients.
Estimize also provides estimates or projections of macroeconomic factors (e.g., interest rates, economic growth), based also on aggregates from research analysts.
Hedge funds and fund investors comprise most of its client base now. The company, three years old, has 10 employees and is based in New York and San Diego.
David Klein was once an MBA student at Wharton who borrowed money to fund his business-school education. At some point after graduation, he decided there was a more efficient way for students to borrow. He started his company, CommonBond, to transform the student-loan market especially after dysfunctions in this marketplace in recent years. Klein says the company is trying to "fix the broker student-loan market."
CommonBond created an electronic network to match students directly with lenders. Klein claims this direct match-up helps lower interest costs to students. Like an electronic stock market, the network allows market participants to link online. The company also has a social mission by encouraging a "community" of lenders and borrowers: Lenders follow the progress of students, and students form community networks among themselves and keep lenders informed about their school experiences. Lenders become more engaged in their investments.
In its first phase, CommonBond is only providing loans (from a current fund of about $100 million) to MBA students. It will expand in its next phases to law and medical students. Until now, most loans it has arranged via the network have been refinancings of other students' loans at competitive rates.
The company employs 13, but plans to expand to 22 by this summer.
Chaith Kondragunta's company AnalytixInsight is four years old. He has an MBA from Carnegie Melon and is now CEO of the company he helped found four years ago. The company uses technology to prepare research-analysis reports on 40,000 equity stocks around the world. It labels its service Capital Cube and produces written analyses, based on data, statistics, and macro-trends.
For example, its technology gathers significant amount of data and financial information (including data available from company annual reports, 10-K's, etc.), assembles and analyzes the data for trends, computes relevant financial ratios, and then prepares a written financial analysis with useful conclusions and recommendations with minimal input from a human analyst.
Individual investors, brokerage firms, and some media firms have subscribed to the service. The company has offices in New York, Toronto and India.
This group of five is just a few, a coast-to-coast sample. Many other financial-technology firms exist, covering special niches in the industry. And more will continue to be founded, as someone somewhere will determine that with technology advances there's a better, quicker, more efficient way to trade securities, research stock, raise equity, issue debt, share market information, prepare investment reports or provide strategic advice to companies.
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