Mark Matta (@mark_matta) header
Mark Matta (@mark_matta) profile picture

Working on @atolio

šŸ‡ØšŸ‡¦
Joined September 2010
Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)Photo by Mark Matta (@mark_matta)
Mark Matta retweeted
The best AI advantage isn’t a better model, it's owning the one you run. And @ollama is how you do it. 8.9M developers build on it (growing nearly another million each week), with 67K integrations and adoption in 85% of Fortune 500.Ā  Theory is proud to back founders @jmorgan and @mchiang0610 in Ollama’s $65M Series B: youtube.com/watch?v=0iJAWhAD…
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What’s good Milwaukee. Thinking of pulling up to @Bucks today..šŸ‘€
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The future is on-prem if companies want to ā€œkeep their proprietary information, proprietary.ā€ Also: the future is @atolio. An Ai powered enterprise search platform that securely connects, indexes and queries data across all workplace apps using LLMs on-premise. You can thank me later.
Is on-premise the new cloud? I’m beginning to think yes. It’s the only way for companies to not blow themselves up and have some semblance of capability in an AI world…
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Is on-premise the new cloud? I’m beginning to think yes. It’s the only way for companies to not blow themselves up and have some semblance of capability in an AI world…
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WE'RE GOING TO THE AMERICAN LEAGUE CHAMPIONSHIP SERIES! #WANTITALL
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Mark Matta retweeted
We’re at @allincanada in beautiful MontrĆ©al Find us in the startup zone. Look for the only guy not wearing a blazer 😜 #allin2025
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Today is a special day for all of us at @atolio. We’re announcing our Series A, sharing more about our journey, and what we’re working toward over the next several years. @lanstein, @garethwatts and I started Atolio over half a decade ago with the same mission we hold today: helping organizations safely discover, find, and organize their collective knowledge. Over that time, there have been dozens of attempts to solve this challenge, commonly known as enterprise search, but few have prevailed. Since the rise of AI assistants in late 2022 and early 2023, there's been an overwhelming amount of interest across large companies in finding ways for companies to adopt AI with their collective knowledge built in. What’s been missing, however, is a solution that doesn’t require sending all of a company’s data outside its own environment. At Atolio, we believe every employee should be able to leverage AI to work smarter by tapping into their organization’s collective knowledge, while maintaining the privacy and security enterprises demand. Today, we’re thrilled to announce the close of Atolio’s Series A, led by @translink_cap along with new investors @IBM and @acornpacific and existing investors @BloombergBeta and @ParameterVC . To date, we’ve raised $24M in funding to bring secure, AI-powered enterprise search to the world’s largest enterprises and organizations. We’re still a small team, but we’re hiring aggressively across engineering and go-to-market roles to help us achieve our mission. For all the details, check out our blog post in the next post LFG!
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NO QUIT 🚫 @SentinelStorage | #LetsGoOilers
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Bloomberg Beta is special. Thanks for all your help over the last year and a half @karinklein and team!
šŸŽ‰ @BloombergBeta is celebrating 12 years of backing extraordinary founders who make work better. Like @lanstein, Gareth Watts & @mark_matta of @atolio, making secure enterprise search (and actually finding the info you need) possible. So honored to work with them.
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Mark Matta retweeted
We're at #Knowledge25 this week! Reach out to learn more about our ServiceNow integration or book time to meet with our team: bit.ly/42JB4n7 #Knowledge2025 #ServiceNow #Know25 #Atolio #AIAgents #EnterpriseSearch
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Specifically this part "Who will be that for airgapped internal AI aggregators?" We're long on fully self-hosting as it's the only way to ensure an organization/government would be comfortable building apps/agents on top of their most sensitive data.
Internal AI tools ingesting and consulting on the full data backlog of the company will be as common as CRMs, task management tools, and communication tools. Hubspot, Notion, Slack. Who will be that for airgapped internal AI aggregators?
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ā€œHow are you different from Copilotā€
Utterly confusing, funny and sad
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More of this on my feed please
Never give up on your dreams. Keep coming back. Keep working hard.
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Boring isn't the word I would use but there's definitely a lot of plumbing that goes beyond applying an LLM on top of your enterprise knowledge. 5+ years of plumbing and we're just getting started here at @atolio šŸ§‘ā€šŸ”§
One of the reason public LLMs relatively seem to have lesser impact within organizations (for now) is the same reason Google Enterprise Search didn’t succeed. Consumer and business use cases are two different problems. Public LLMs and Public Search work on public data. Organizations have complex set of disparate data source with complex permissions structures unique to each business. Cracking this is key to succeeding within businesses. These are boring problems to solve. Boring things bring in the $$$.
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First agent to connect to all of your work apps — so it can access information and complete tasks across all of them — will probably win.
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There goes our hero šŸ„¹šŸ‡ØšŸ‡¦ #4Nations | #LetsGoOilers
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