10 Hot Startups That Raised VC Funding In December

Follow The Money

Capping off a year that saw massive cyberattacks such as WannaCry and the breach at Equifax, venture capital continued flowing to companies in the cybersecurity space in December. Meanwhile, startups working in data analytics -- with technologies such as machine learning for improved business intelligence -- also saw major success last month at hauling in VC funding.

What follows are our picks for 10 IT startups to watch that raised VC funding in December.


Headquarters: Ra'anana, Israel

CEO: David Drai

Funding: $23 million, Series B

Investors: Redline Capital Management (led the round), Aleph Venture Capital, Disruptive Technologies Venture Capital

What it does: Provides business analysis software that uses machine-learning technology to detect anomalies within huge volumes of data and help businesses identify problems and opportunities


Headquarters: Bethesda, Md.

CEO: Michael Madon

Funding: $3 million, Series A

Investors: Next Frontier Capital (led the round), TEDCO, 2M, SaaS Ventures, ARRA Capital

What it does: Developer of a cybersecurity training platform that's designed to reduce employee security mistakes

Contrast Security

Headquarters: Los Altos, Calif.

CEO: Alan Naumann

Funding: Undisclosed amount, Series C

Investors: AXA Strategic Ventures, Microsoft Ventures

What it does: Provider of "self-protecting" cybersecurity software that contains security safeguards built directly into important applications


Headquarters: Austin, Texas

CEO: Sriram Vishwanath

Funding: $7 million, Series A

Investors: Intel Capital (led the round), Azure Capital Partners, Bandgap Ventures, Capital Factory, FAM Capital Partners, UT Horizon Fund, WS Investment Co.

What it does: Developer of self-interference cancellation technology to improve the performance and capacity of communications networks


Headquarters: Menlo Park, Calif.

CEO: George Mathew

Funding: $33 million, Series C

Investors: G2VP (led the round), Shell Technology Ventures, Cisco Ventures, ABB Ventures

What it does: Developer of a platform for drone data capture and analytics, which uses AI and machine-learning technologies to deliver insight and accelerate operations


Headquarters: Palo Alto, Calif.

CEO: Babur Ozden

Funding: $28 million, Series C

Investors: China International Capital Corporation and Eight Square Capital (led the round), Accenture Ventures, Sino Capital, Intel Capital, GE Ventures, Chevron Technology Ventures, Saudi Aramco Energy Ventures, Shell Technology Ventures

What it does: Developer of the AI-based Maana Knowledge Platform, which uses proprietary technology and algorithms to provide a holistic view of assets or processes a company wants to optimize

Menlo Security

Headquarters: Menlo Park, Calif.

CEO: Amir Ben Efraim

Funding: $40 million, Series C

Investors: American Express Ventures, Ericsson Ventures, HSBC, JPMorgan Chase, General Catalyst Partners, Sutter Hill Ventures, Osage University Partners, Engineering Capital

What it does: Provider of malware isolation technology, which isolates all web and email content in the cloud before it reaches the endpoint


Headquarters: Denver

CEO: Andy Funk

Funding: Not disclosed

Investors: Copper River Advisors

What it does: Developer of cloud-based identity security solutions, which combines privileged access management, identity access management, multifactor authentication, and cloud access security brokering


Headquarters: Los Angeles

CEO: Julien Bellanger

Funding: $13 million, Series B

Investors: Trident Capital Cybersecurity, USVP

What it does: Provider of autonomous application protection technology that enables applications to defend themselves from cyberattacks in real time.

Upstream Security

Headquarters: Tel Aviv

CEO: Yoav Levy

Funding: $2 million, seed round

Investors: Gilot Capital Partners (led the round), Maniv Mobility

What it does: Developer of a cloud-based cybersecurity platform for connected and autonomous vehicles, which leverages advanced cloud technologies, big data, and machine learning