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    Nord Safety founders launch Nexos.ai to assist enterprises take AI initiatives from pilot to manufacturing

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    A brand new AI orchestration startup from the founders of Lithuanian unicorn Nord Safety is getting down to assist enterprises put their AI initiatives into manufacturing, with an preliminary deal with bringing larger visibility, safety and adaptableness to massive language fashions (LLMs).

    Nexos.ai, because the startup known as, is the handiwork of Tomas Okmanas (pictured above) and Eimantas Sabaliauskas, who constructed some of the recognizable manufacturers not solely in Lithuania, however in all of Europe. Nord Safety, greatest identified for its flagship VPN product NordVPN, bootstrapped its manner by means of its first 10 years earlier than succumbing to a bumper $100 million funding in 2022 at a $1.6 billion valuation (it later hit a $3 billion valuation throughout a subsequent fundraise).

    Their new firm is exiting stealth right now with $8 million in funding from a slew of high-profile backers, together with lead investor Index Ventures, which has now made its first ever funding into Lithuania.

    “We’ve known of Tomas and the work that he’s done for many years, so as soon as we heard that he was building a new company in the AI space, and was finally willing to take venture capital money at this [early] stage, we were very eager,” Index Ventures’ companion Hannah Seal instructed TechCrunch.

    Different notable traders embody Creandum and Dig Ventures, and outstanding angels such because the CEOs of Datadog, Klarna, Supercell, and Wix additionally participated.

    Capitalizing on a catalyst

    At the moment, groups that wish to put their AI into manufacturing have to attach myriad instruments, which seemingly entails recruiting and constructing groups with the mandatory expertise. That is the place Nexos.ai needs to step in.

    “I’ve seen that there’s a big gap between running AI as pilots and going into production,” Okmanas instructed TechCrunch in an interview. “When you’re testing AI in your lab, it might work and it can be useful, but when you want to put it into production, especially in enterprises, how do you ensure high availability? How do you ensure security? How do you manage cost?”

    Nord Safety’s been round for greater than a decade, however 5 years in the past, it was folded into an umbrella firm referred to as Tesonet, an incubator with a portfolio of greater than two-dozen companies. Certainly one of these is web-hosting agency Hostinger, which lately added AI-enabled smarts to its web site constructing instrument. Okmanas, a Hostinger board member and shareholder, mentioned a few of the points they encountered served as a catalyst for what would ultimately change into Nexos.ai.

    “We wanted to employ AI in our website builder, so we turned on OpenAI, we started testing it, and we put it in production,” Okmanas mentioned. “In August, we had $150,000 billed. For what? Why was it so expensive? There was no visibility.”

    AI web site builder on HostingerPicture Credit:Hostinger

    And when OpenAI went down a handful of occasions, Okmanas was satisfied that one thing needed to be executed to make it simpler to deploy, handle and optimize the “increasingly complex ecosystem of AI models” that organizations might have.

    By way of a easy API (software programming interface), clients can entry greater than 200 AI fashions, from big-name incumbents like OpenAI and Anthropic to smaller, area of interest LLMs. The concept is, if OpenAI goes down, an organization can quickly (and mechanically) swap to a unique supplier with out breaking stride. Or if the prices concerned in accessing a particular LLM explode for no matter purpose, an organization can transition to a different one to maintain their prices down.

    Nexos.ai additionally ushers “intelligent caching” into the combo — if a specific query is repeated by a number of customers, the system can flip to its personal database somewhat than persevering with to have interaction the LLM, which may get costly.

    On the safety and compliance fronts, Nexos.ai additionally prevents people from sending personal knowledge to LLM suppliers, or if an worker leaves an organization, their entry could be terminated instantly.

    Nexos.ai
    Nexos.aiPicture Credit:Nexos.ai

    There’s no escaping the elephant within the room, although: One of many causes enterprises have been hesitant to embrace AI is the thorny problem of knowledge safety — healthcare firms, banks, or insurance coverage corporations can’t merely belief LLM suppliers with all their delicate data. It’s price noting that Hostinger itself was hit with a knowledge breach in 2019 and NordVPN has additionally been hacked previously — the kind of assaults that each one firms face right now.

    This raises questions round how Nexos.ai handles such knowledge, on condition that it’s internet hosting every part by itself infrastructure. Okmanas mentioned the corporate will seemingly provide self-hosting sooner or later, and that it already helps integrations with firms’ personal inner LLMs.

    It additionally has guardrails in place to detect when knowledge, corresponding to personally identifiable data (PII), is distributed to it — in such circumstances, it could actually re-route the information again to the originating firm’s personal LLMs or database. But when a question is generic, like a buyer asking an AI agent for particulars about their location and opening hours, then the question can be dealt with on the Nexos.ai aspect.

    From thought to inception

    Going from an thought to formal incorporation took Nexos.ai round six weeks, and whereas the velocity of securing the funding was largely all the way down to the founders’ pedigree, an enormous a part of it was merely the timing.

    “I feel like we’ve finally gone beyond the hype of AI, and now the real-world applications are coming,” Seal added. “All the large enterprises are realizing this is really meaningful, and they need to adopt AI at scale. And now is the time for the infrastructure to catch up with the models.”

    The velocity of execution, although, was substantively as a result of broader organizational setup at Tesonet, which has round 4,000 staff throughout its portfolio. This enabled Okmanas to shortly assemble a workforce of round 30 individuals who he knew and trusted to work on Nexos.ai full-time.

    “We have these teams that can really join forces — they’ve been working together for so many years, there’s no need to tell them what’s what,” Okmanas mentioned. “We’ll also be hiring from the outside, but that takes much more time.”

    Nexos.ai’s platform is about to launch by the top of March, although Okmanas mentioned it’s already working with a bunch of “beta customers and design partners.”

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