Mar
15
2021
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DeepSee.ai raises $22.6M Series A for its AI-centric process automation platform

DeepSee.ai, a startup that helps enterprises use AI to automate line-of-business problems, today announced that it has raised a $22.6 million Series A funding round led by led by ForgePoint Capital. Previous investors AllegisCyber Capital and Signal Peak Ventures also participated in this round, which brings the Salt Lake City-based company’s total funding to date to $30.7 million.

The company argues that it offers enterprises a different take on process automation. The industry buzzword these days is “robotic process automation,” but DeepSee.ai argues that what it does is different. I describe its system as “knowledge process automation” (KPA). The company itself defines this as a system that “mines unstructured data, operationalizes AI-powered insights, and automates results into real-time action for the enterprise.” But the company also argues that today’s bots focus on basic task automation that doesn’t offer the kind of deeper insights that sophisticated machine learning models can bring to the table. The company also stresses that it doesn’t aim to replace knowledge workers but helps them leverage AI to turn into actionable insights the plethora of data that businesses now collect.

Image Credits: DeepSee.ai

“Executives are telling me they need business outcomes and not science projects,” writes DeepSee.ai CEO Steve Shillingford. “And today, the burgeoning frustration with most AI-centric deployments in large-scale enterprises is they look great in theory but largely fail in production. We think that’s because right now the current ‘AI approach’ lacks a holistic business context relevance. It’s unthinking, rigid and without the contextual input of subject-matter experts on the ground. We founded DeepSee to bridge the gap between powerful technology and line-of-business, with adaptable solutions that empower our customers to operationalize AI-powered automation — delivering faster, better and cheaper results for our users.”

To help businesses get started with the platform, DeepSee.ai offers three core tools. There’s DeepSee Assembler, which ingests unstructured data and gets it ready for labeling, model review and analysis. Then, DeepSee Atlas can use this data to train AI models that can understand a company’s business processes and help subject-matter experts define templates, rules and logic for automating a company’s internal processes. The third tool, DeepSee Advisor, meanwhile focuses on using text analysis to help companies better understand and evaluate their business processes.

Currently, the company’s focus is on providing these tools for insurance companies, the public sector and capital markets. In the insurance space, use cases include fraud detection, claims prediction and processing, and using large amounts of unstructured data to identify patterns in agent audits, for example.

That’s a relatively limited number of industries for a startup to operate in, but the company says it will use its new funding to accelerate product development and expand to new verticals.

“Using KPA, line-of-business executives can bridge data science and enterprise outcomes, operationalize AI/ML-powered automation at scale, and use predictive insights in real time to grow revenue, reduce cost and mitigate risk,” said Sean Cunningham, managing director of ForgePoint Capital. “As a leading cybersecurity investor, ForgePoint sees the daily security challenges around insider threat, data visibility and compliance. This investment in DeepSee accelerates the ability to reduce risk with business automation and delivers much-needed AI transparency required by customers for implementation.”

Aug
22
2019
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Remediant lands $15M Series A to disrupt privileged access security

Remediant, a startup that helps companies secure privileged access in a modern context, today announced a $15 million Series A led by Dell Technologies Capital and ForgePoint Capital.

Remediant’s co-founders, Paul Lanzi and Tim Keeler, worked in biotech for years and saw a problem first-hand with the way companies secured privileged access. It was granted to certain individuals in the organization carte blanche, and they believed if you could limit access, it would make the space more secure and less vulnerable to hackers.

Lanzi says they started the company with two core concepts. “The first concept is the ability to assess or detect all of the places where privileged accounts exist and what systems they have access to. The second concept is to strip away all of the privileged access from all of those accounts and grant it back on a just-in-time basis,” Lanzi explained.

If you’re thinking that could get in the way of people who need access to do their jobs, as former IT admins, they considered that. Remediant is based on a Zero Trust model where you have to prove you have the right to access the privileged area. But they do provide a reasonable baseline amount of time for users who need it within the confines of continuously enforcing access.

“Continuous enforcement is part of what we do, so by default we grant you four hours of access when you need that access, and then after that four hours, even if you forget to come back and end your session, we will automatically revoke that access. In that way all of the systems that are protected by SecureOne (the company’s flagship product) are held in this Zero Trust state where no one has access to them on a day-to-day basis,” Lanzi said.

Remediant SecureONE Dashboard

Remediant SecureONE Dashboard (Screenshot: Remediant)

The company has bootstrapped until now, and has actually been profitable, something that’s unusual for a startup at this stage of development, but Lanzi says they decided to take an investment in order to shift gears and concentrate on growth and product expansion.

Deepak Jeevankumar, managing director at investor Dell Technologies Capital, says it’s not easy for security startups to rise above the noise, but he saw something in Remediant’s founders. “Tim and Paul came from the practitioner’s viewpoint. They knew the actual problems that people face in terms of privileged access. So they had a very strong empathy towards the customer’s problem because they lived through it,” Jeevankumar told TechCrunch.

He added that the privileged access market hasn’t really been updated in two decades. “It’s a market ripe for disruption. They are combining the just-in-time philosophy with the Zero Trust philosophy, and are bringing that to the crown jewel of administrative access,” he said.

The company’s tools are installed on the customer’s infrastructure, either on-prem or in the cloud. They don’t have a pure cloud product at the moment, but they have plans for a SaaS version down the road to help small and medium-sized businesses solve the privileged access problem.

Lanzi says they are also looking to expand the product line in other ways with this investment. “The basic philosophies that underpin our technology are broadly applicable. We want to start applying our technology in those other areas as well. So as we think toward a future that looks more like cloud and more like DevOps, we want to be able to add more of those features to our products,” he said.

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