Ron Williams, Co-Founder and CEO Kindhas some knowledge of cybersecurity, having previously led security teams at League of Legends developer Riot Games, scooter-sharing startup Bird, and Alphabet-backed Clover Health. I have had the experience of He is now bringing this expertise to the rapidly changing world of artificial intelligence (AI) with his Kindo, a new AI productivity and security startup.
There’s no shortage of AI startups, but Kindo insists on doing things differently. Co-developed by former Google engineer Brian Vann and former OpenAI employee Margaret Jennings, the platform claims to be the first self-service AI platform with backend integrations built explicitly for enterprises. Masu.
“We’re seeing that a big wave of AI is poised to arrive,” Williams told TechCrunch. “Every time these waves come, whether it’s smartphones or SaaS, he waits a year or two for myself and my team to have the right tools to manage the new applications that come with that wave. I had to.”
Kindo, formerly known as “Usable Machines,” addresses this issue by providing enterprise-ready generative AI security, compliance, and centralized management to help businesses leverage AI securely and privately. We aim to solve the problem.
The platform enables enterprises to connect to any private, open source, or commercial AI model, including ChatGPT and Google Bard, and provides over 200 applications that employees can leverage to create no-code, AI-powered workflows. Supports SaaS integration. Kindo does all of this while providing security teams with a backend that gives them full visibility and control over the use of AI within their organizations, allowing businesses to control who has access to their data through their PII, content, and data filters. Make it easy to control. “This allows us to work within the framework of the GDPR,” Williams says. “One of our key capabilities is that we can filter PII before the AI model recognizes it.”
Additionally, the platform provides centralized governance of employee access and permissions, audit logs, usage tracking, and analytics for all AI prompts, data, and workflows.
Despite offering a number of tools aimed at enterprise developers and security teams, this is not Kindo’s target market. Rather, Williams told TechCrunch that Kindo is targeted at functional end users who want to harness the power of AI. “There are a lot of startups building tools for developers, but they haven’t built tools that give marketers all the power and use it to build great things. “No,” Williams said. Kindo AI allows end users to automate tasks such as transcribing their Zoom videos, writing press releases, and writing performance reviews.
Image credits: Kind
“The best customer for us is mid-market,” Williams said. “We can sell to enterprises, and we’re really talking to large enterprises, but it’s also great for enterprises that don’t have a huge investment in data science.”
Kindo, which Williams founded in August last year, has already attracted attention from investors. The company raised $7 million in seed funding in June in a round led by Riot Ventures with participation from Eniac Ventures and RRE Ventures. Other notable investors include Marlinspike Partners, Flexcap Ventures, New Era Ventures, Andrew Peterson (founder of Signal Sciences), and Dave Politis (founder of BetterCloud).