Artificial Inteligence Company Software Technology 
socalTECH
SEPTEMBER 16, 2019
San Diego-based Deckard Technologies , a new startup founded by serial entrepreneur Neil Senturia, said on Monday that it has raised $4M in funding and launched a new company focused on using artificial intelligence (AI) to identify property tax scofflaws. The company said its latest funding was worth $500,000.
socalTECH
MARCH 7, 2017
Newport Beach-based Lantern Credit , a fintech startup focused on the consumer credit market, said this morning that it has acquired a set of software used for machine learning. Lantern Credit said Korns previously has served at such companies as IBM, Tymshare Transaction Services, Xerox Imaging and Investment Science.
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socalTECH
JULY 10, 2017
There's been a revolution in the use of artificial intelligence and machine learning in the last few years, by both startups and large companies, to help in a large number of areas. Tim Grace: PointPredictive is an artificial intelligence, machine learning, and pattern recognition provider.
socalTECH
APRIL 10, 2019
One of the hottest sectors of the technology startup market today is the use of artificial intelligence, big data, and machine learning across many different sectors including finance. One Los Angeles company, ZestFinance (www.zestfinance.com), has been working in this area for a few years.
socalTECH
MARCH 23, 2021
The San Diego Angel Conference, an angel investing effort which is run by the University of San Diego (USD) School of Business, says it has made investments in five companies at its conference this year, worth a total of $500,000.
socalTECH
AUGUST 21, 2014
for its hardware-based, machine learning tools, according to the company. As part of the funding, Steve Jurvetson of DFJ will join the company''s board of directors. Nervana is developing machine learning technology--including software and hardware--which is being targeted at a wide range of areas.
Startup Professionals Musings
SEPTEMBER 30, 2018
Conventional thinking in business has long been that strategy decisions are made by humans, while the focus of automation and machine learning should be on execution. Only smart software can plow through the volume of live data, recognizing trends, customers, and match offerings to reality. The efficiency gain is tremendous.
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