David Bogoslaw

Firms are rapidly embracing artificial intelligence to improve operations, help with due diligence and even identify investment opportunities

VC firms are increasingly employing AI to narrow down the search for their next investment, but it may struggle to keep pace with a fast-moving market

The New York asset manager’s LPs include family offices and smaller public pension funds that appreciate its investments in real assets that provide essential services to strengthen power grids.

By giving entrepreneurs permission to work on themselves and covering the cost for the first year, the firm expects to minimize start-up failures that often result from burnout and co-founder disputes.

The UK-based firm has achieved returns ranging from 1.9x to 16.1x for venture-backed companies that generate at least 20 percent of their revenue in the US.

The Los Angeles-based firm just closed on $40 million for its debut fund, with commitments from Bank of America, 301 INC, Illumen Capital's Catalyst Fund, JP Morgan Asset Management, MassMutual and the Illinois Growth and Innovation Fund.

Using Michael Sonnenfeldt's TIGER 21 network, the New York-based VC firm is introducing start-ups to additional investors and strategic industry contacts who can support their go-to-market efforts.

Richard Blakesley is using AI to vet investments for the Boost Fund, noting that 'the early-stage fundraising process is plagued by bias of all sorts: expert bias, pattern-recognition bias, network bias and so forth.'

AI and machine learning are helping companies target highly relevant candidates and expedite conversations.

The founder of SineWave Ventures believes adversity may be a better term than diversity to describe the character traits that can lead to better investment outcomes.