Mark Matta

Working on @atolio

[David Bakhtiari @DavidBakhtiari]

What’s good Milwaukee. Thinking of pulling up to @Bucks today..👀

[David Bakhtiari @DavidBakhtiari]

The future is on-prem if companies want to “keep their proprietary information, proprietary.”

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.

[Mark Matta @mark_matta]

yes: https://t.co/ljgPgCr672

[Chamath Palihapitiya @chamath]

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…

[Mark Matta @mark_matta]

@evansammccann Terry Matthews feels like someone more should know about https://t.co/kdVKbM3iLQ

[Toronto Blue Jays @BlueJays]

WE'RE GOING TO THE AMERICAN LEAGUE CHAMPIONSHIP SERIES! #WANTITALL

[Atolio @atolio]

We’re at @allincanada in beautiful Montréal

Find us in the startup zone. Look for the only guy not wearing a blazer 😜

#allin2025

[Mark Matta @mark_matta]

@atolio @lanstein @garethwatts 🔗 https://t.co/pzazlwyMSl

[Mark Matta @mark_matta]

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!

[Mark Matta @mark_matta]

@fahdananta Kanata has a high density of hard tech still

[Mark Matta @mark_matta]

@eshear 🫡 (we don't use Asana, but same idea with our Linear connector)

[Edmonton Oilers @EdmontonOilers]

NO QUIT 🚫

@SentinelStorage | #LetsGoOilers

[Mark Matta @mark_matta]

Bloomberg Beta is special. Thanks for all your help over the last year and a half @karinklein and team!

[Karin Klein @karinklein]

🎉 @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.

[Atolio @atolio]

We're at #Knowledge25 this week!

Reach out to learn more about our ServiceNow integration or book time to meet with our team: https://t.co/ModGk7eab8

#Knowledge2025 #ServiceNow #Know25 #Atolio #AIAgents #EnterpriseSearch

[Mark Matta @mark_matta]

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.

[Arvid Kahl @arvidkahl]

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?

[Mark Matta @mark_matta]

@jasonlk Genuine question, how often do you talk to SaaS reps on a monthly basis? Seeing some of your other posts over the last few months, it feels like maybe more than the average exec but maybe I’m missing something.

[Mark Matta @mark_matta]

“How are you different from Copilot”

[Hamel Husain @HamelHusain]

Utterly confusing, funny and sad

[Mark Matta @mark_matta]

More of this on my feed please

[Rory McIlroy @McIlroyRory]

Never give up on your dreams. Keep coming back. Keep working hard.

[Mark Matta @mark_matta]

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 🧑‍🔧

[Raju Vegesna @rajuv]

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 $$$.