On April 28, New York AI startup Actively announced a $45 million Series B round led by TCV and First Harmonic, with participation from Bain Capital Ventures, First Round Capital and Alkeon.
The new round brings Actively's total funding to $68 million.
The company's pitch is blunt: replace parts of human-led sales teams with AI agents.
Founders and Early Customers
Actively was founded by two Stanford AI researchers: Mihir Garimella, now CEO, and co-founder Anshul Gupta.
Its early customer list already carries weight:
- Attentive, for consumer marketing automation
- Ironclad, a contract management SaaS company
- Ramp, for corporate spend management
- Samsara, in fleet and industrial IoT
Samsara is the standout example. Actively says its agents cover a go-to-market organization of more than 1,000 people there, spanning sales, business development, revenue operations and customer success.
Put plainly, much of the calling, email writing and deal-progress tracking that those teams would once have handled is now being handed to Actively's agents.
How It Differs From Traditional Sales Software
Over the past decade, sales technology stacks have usually been layered one tool at a time:
- CRM systems such as Salesforce and HubSpot
- Email automation tools such as Outreach and Salesloft
- Data enrichment products such as ZoomInfo and Apollo
- Meeting intelligence tools such as Gong and Chorus
Each product solves a narrow problem, while salespeople spend the day moving among a dozen browser tabs.
Actively's promise is closer to "we will shut those tabs for you". Each account gets a persistent agent that gathers signals across platforms, judges deal progress and pushes the opportunity forward without requiring a rep to watch every step.
The company calls this model "Intelligence-Led Revenue." The phrase has a marketing sheen, but the underlying idea is clear: sales work moves from "people operating tools" to "agents doing the work while humans review."
Why This Is Different From Earlier Sales AI
The 2024-2025 wave of sales AI products was mostly assistant software. It drafted emails, summarized meetings and suggested next actions, while decisions and execution stayed with the salesperson.
Actively's difference is that execution also moves to AI:
| Dimension | Traditional sales tools | Previous sales AI assistants | Agents like Actively |
|---|---|---|---|
| Cross-platform signal gathering | Manual | Partial | Fully automated |
| Deciding what to do | Human | AI suggests, human decides | AI decides |
| Actual execution | Human | Human | Agent |
| Scale | One-to-one | One-to-one | 24/7 |
If that model holds up, the definition of a sales role starts to change.
The Bet Behind the Numbers
Actively's investor story is that customers are seeing better outbound conversion, stronger quota attainment among top performers and faster AI deployment than comparable products.
The company has not disclosed exact percentages, leaving the Series B narrative some room to breathe.
But a $45 million round and a real rollout inside a 1,000-person GTM organization such as Samsara point to the same conclusion: enterprises are beginning to treat "cut sales headcount with AI" as a boardroom option rather than a thought experiment.
Goldman Sachs estimated in March that AI was eliminating a net 16,000 jobs per month in the United States, with Gen Z workers hit hardest. Sales was once seen as one of the harder roles for AI to replace. It now looks less protected.
The next question is which sales jobs fall first. The likeliest candidates are high-frequency, low-price and process-heavy roles: SaaS subscription renewals, ecommerce customer expansion and first-touch insurance outreach.
Complex enterprise software sales will be a slower fight.
Sources: Actively raises $45M Series B to replace human-led sales with 24/7 AI 'superintelligence' agents (Tech Startups, CocoLoop, 2026-04-28)