.svg)
Indianapolis, IN – January 13, 2025 – Unitus, an AI-powered sales prospecting co-pilot, is officially launching to redefine how Sales Development Representatives (SDRs) and Full-Cycle Sellers identify and engage qualified prospects. Backed by $750,000 in funding led by Ground Game Ventures and Elevate Ventures, with participation from Allos Ventures, Start Something Ventures, Collina Ventures, and other notable angel investors, Unitus is equipping sales teams to approach prospecting with strategy and confidence—sourcing and closing more qualified revenue opportunities.
Co-founded by Matt Baggott, Charlie Parker, and Noah Miller, Unitus shifts sales strategies from outdated, high-volume approaches to targeted, high-impact engagement designed to surprise and delight prospects.
The idea for Unitus was born from the founders' firsthand experiences as SDRs during the post-COVID sales downturn. "This was a period when companies, having over-inflated headcounts and forecasts during COVID, faced slower buying cycles and had to make major adjustments—starting with sales," explained Baggott. “At the same time, generative AI was exploding, particularly in sales messaging tools, prompting sales leaders to address pipeline struggles by introducing even more automation. "There was a flood of new AI tools, but many focused on high-volume activity, offering only incremental, short-lived value," Baggott continued. "We saw an opportunity to create a tool that emphasizes intentional, credible, human-centric engagement instead of spamming emails that prospects dislike and email providers actively block."
Unitus is designed to help sales teams transition from horizontal, volume-driven approaches to vertical, high-quality engagement strategies. “We’ve hit the point of diminishing returns on Horizontal Volume-based strategies” said Baggott. "With stricter guidelines from email service providers like Microsoft, Google, and Yahoo, combined with an overwhelming volume of dials, intentional, well-researched outreach is now essential. The most successful outbound teams are setting new KPIs focused on thoughtful, fully human touchpoints rather than sheer activity volume."
To build Unitus, Baggott recruited Charlie Parker, his former team lead at Attentive, to co-design the platform, and Noah Miller, a former Technical Lead and Managing Consultant at DMI, to lead development efforts.
Unitus.ai aggregates and organizes 30+ data points on prospects and their organizations, transforming them into actionable workflows through its message builder. Unlike automation-heavy solutions that remove human input, Unitus is designed to amplify sales efficiency while keeping the seller’s strategy and insight central to the process.
“Unitus is a tool that improves your reply rates and increases overall meeting bookings,” said Bryan Webster, a Unitus customer. “Using Unitus, I went from missing quota to exceeding my goal by 160-240%.”
In its beta phase, Unitus has already achieved remarkable results, including:
- +33% increase in open rates
- +424% increase in reply rates
- 1.5x more qualified opportunities
Early customers include ThoughtSpot, BigEye, Maropost, and 27 other leading software organizations.
Over the next few quarters, Unitus will focus on getting the co-pilot into the hands of as many sellers as possible, empowering organizations from the bottom up, while simultaneously building a platform that redefines account and prospect prioritization and engagement by leveraging the data and usage insights from the co-pilot.
Unitus co-pilot is now live, offering sellers, and their teams, a smarter, more strategic approach to prospecting and engagement. For more information, reach out to Matt Baggott at Matt@unitus.ai or visit Unitus.ai.
About Unitus
Unitus.ai is a powerful sales prospecting platform that helps sellers drive strategic, high-impact engagement with prospects. Founded in 2023 by Matt Baggott, Charlie Parker, and Noah Miller, Unitus is backed by leading investors and on a mission to set the standard as the ultimate co-pilot for sales professionals.
.png)
.png)
.png)