Attention, a New York-based enterprise revenue AI platform, closed a $30 million Series B on June 24, 2026. RTP Global led the round, with Aglaé Ventures, Eniac, Alven, Linea Ventures, and customer angels participating. Total disclosed funding stands at $44 million, including a $14 million Series A in 2024, according to TechStartups.

The company builds AI agents for revenue teams that go beyond call recording and summarization. Attention’s agents draft and send follow-up emails, update CRM records, and execute the next play in a sales sequence. The difference from earlier generations of sales AI: Attention ties results back to actions its software actually took, creating a closed loop between recommendation and outcome.

Operating Numbers

Attention reports more than 20 million agent actions per month across more than 500 customers, according to TechStartups. ARR has grown 4x year over year, and average contract value increased 10x over two years, indicating a move upmarket from SMB into larger enterprise deals.

The 20 million monthly agent actions figure is notable because it quantifies the shift from passive AI (summarize what happened) to active AI (do the next thing). Each action represents a follow-up sent, a CRM field updated, or a play executed without a human manually triggering it.

The Execution Phase of Sales AI

The enterprise sales AI market has moved through two phases. The first wave, roughly 2023 to early 2025, was dominated by call transcription and note-taking products. These tools observed work without changing outcomes. The second wave, now underway, builds agents that act: drafting communications, maintaining data hygiene, and running playbooks autonomously.

Attention’s Series B is evidence that investors see this shift as real. RTP Global and the customer angels who participated are betting that the next generation of revenue software will win by proving results, not producing summaries.

The round landed on the same day as Taktile’s $110M Series C and Runlayer’s $30M Series A, part of a concentrated 12-hour window in which Goldman Sachs Alternatives, Tiger Global, Khosla Ventures, and Menlo Ventures all backed companies building the operational layer beneath AI applications.