Interview

Unify raises $40M Series B to automate sales research so reps can focus on creativity and outreach

Jul 15, 2025 with Austin Hughes

Key Points

  • Unify closes $40 million Series B led by Battery Ventures to automate sales research for SDRs and BDRs, freeing reps to focus on high-signal creative outreach.
  • The company's observation model stores continuous prospect interaction history in flexible text documents rather than static databases, solving what co-founder Austin Hughes calls the central failure of AI sales tools: amnesia.
  • Unify argues AI cannot replicate the human effort signal that drives conversion, so it eliminates research burden entirely to let reps deploy more time on personalized touches like handwritten notes and custom gifts.
Unify raises $40M Series B to automate sales research so reps can focus on creativity and outreach

Summary

Unify closed a $40 million Series B led by Battery Ventures on July 15, 2025. The round follows earlier backing from OpenAI, Thrive Capital, and Emergence Capital, and brings the company to a 50-person team roughly two and a half years after founding.

Austin, co-founder and CEO, built Unify after spending time on the growth product team at Ramp starting in 2020, where he worked alongside figures including Sam Buck and others in the Ramp network. He launched Unify in early 2023, timing the founding around the emergence of large language models and what he saw as a converging moment between go-to-market strategy and AI capability.

What the Product Does

Unify automates pre-outreach sales research for SDRs and BDRs. Rather than manually combing LinkedIn or Crunchbase, reps arrive to a pre-built list of roughly 25 prioritized prospects, enriched with up to 50 data points pulled by AI agents. The pitch is that reps start at the "90-yard line" and focus exclusively on messaging quality and human judgment rather than data assembly.

Current customers include Cursor and Perplexity.

The Observation Model

Unify's core technical differentiator, launched a few months before the funding announcement, is what the company calls its observation model. Rather than storing prospect data in a structured database, the system maintains a flexible, continuously updated text document for every contact that aggregates all historical interactions and relevant context. When Unify's agents need to determine next-best actions, they query that document rather than static records.

The architecture is a direct response to what Austin describes as the central failure mode in current AI sales tooling: amnesia. Most AI tools can execute a research task repeatedly but retain no memory of having done it before, eliminating the compound value that experienced human reps build over hundreds of calls.

Data Access and Walled Gardens

On the question of data openness, Austin draws a clear split between platform types. Salesforce, built on an open App Exchange ecosystem with deep third-party integrations, is expected to remain accessible to tools like Unify. Slack, which has historically restricted external data access, is expected to tighten further, consistent with the friction Glean has reportedly encountered with large enterprise accounts.

The Creativity Argument

Unify's positioning, reflected in its tagline "scale your revenue team's creativity," rests on a specific view of where AI adds value and where it does not. Austin argues that high-conversion sales moments, handwritten notes, personalized gifts, unexpected peer referrals, work precisely because they signal human effort and taste. AI cannot replicate that signal, and attempts to do so produce generic output.

The company's approach is to use AI to eliminate the research and logistics burden entirely so that human reps can deploy more of their time on those high-signal creative touches. As an example tied to the fundraise announcement, Unify commissioned roughly 25 custom Cameo videos for contacts in its network as a personalized outreach campaign, using AI in the ideation phase but relying on the human delivery for impact.

On real-time sales co-pilot products, Austin acknowledges the category is compelling, pointing to Clio as a leading example, but says Unify's current position is a composer interface that surfaces AI research context alongside outreach drafts, with real-time functionality as a directional priority rather than a current product feature.