Actively raised $45 million in Series B funding to scale its intelligence led revenue platform, with the round co led by TCV and First Harmonic and participation from Bain Capital Ventures, First Round Capital, and Alkeon.
The company is positioning its product around persistent “per account” AI agents that operate continuously across a go to market organization, with the new capital earmarked for product expansion, hiring, deeper enterprise expansion, and a new San Francisco office.
Table of contents
Jump to each section:
- Funding details and what the Series B supports
- How Actively’s per account agents model differs from typical sales AI
- Competitive landscape: competing with 6sense, Demandbase, Gong, and Salesloft
- Macro trend: revenue tech convergence and always on execution
- What revenue leaders should watch in deployments
Funding details and what the Series B supports
Actively’s Series B brings its total funding to $68 million. The company says it will use the round to build new products for go to market teams, expand enterprise reach, hire, and open a San Francisco office alongside its New York base.
The funding size is a signal that investors see AI in sales moving beyond “assistive features” inside existing tools toward systems that can run more of the workflow. It also suggests buyers are willing to fund platforms that promise consolidation across fragmented sales stacks, as long as adoption does not disrupt core CRM processes.
ContentGripHow Actively’s per account agents model differs from typical sales AI
Actively’s core concept is a persistent AI agent per account that maintains context over time and works continuously. Instead of producing one off insights, these agents are designed to interpret signals, identify opportunities, recommend next steps, and execute work such as research and prospecting.
The strategic bet is that revenue work stalls because it is attention constrained. In many orgs, progress depends on a rep remembering to follow up, updating context across tools, and manually triaging hundreds of accounts. A persistent agent model aims to keep accounts “warm” operationally even when humans shift priorities.
Actively cites enterprise usage as proof points. At Samsara, the company says its agents are deployed across a 1,000+ person go to market team and that Actively driven outreach delivered 2x conversion rates. It also claims faster internal AI roadmap execution while saving millions in compute and token costs, which implies the platform is absorbing some experimentation and scaling burden that enterprises otherwise carry internally.
Competitive landscape: competing with 6sense, Demandbase, Gong, and Salesloft
Actively is competing in a revenue technology category that includes account prioritization and intent platforms (6sense, Demandbase), conversation and revenue intelligence tools (Gong), and sales engagement platforms (Salesloft). These vendors often address slices of the workflow: identifying accounts, enabling outreach, improving call quality, or measuring pipeline.
Actively’s differentiation is packaging “execution plus persistence” at the account level, rather than adding another dashboard or workflow layer. If it works as described, it could reduce the need to stitch together signals across multiple systems because the agent maintains state and pushes next actions forward.
The competitive challenge is integration and trust. Incumbent tools are deeply embedded, and many buyers will ask whether an always on agent can operate safely within existing processes, comply with messaging standards, and avoid creating noisy activity that hurts deliverability or rep productivity.
Macro trend: revenue tech convergence and always on execution
Revenue teams have been building stacks that separate marketing, sales development, account executives, rev ops, and customer success tooling. The trend now is convergence: leadership wants a unified view of accounts, fewer disconnected systems, and a clearer path from signals to action.
Agentic systems push that further by moving from “recommendations” to “continuous execution,” which can be attractive when sales is one of the largest operating expenses. Actively’s framing that companies spend 30% to 40% of revenue on go to market efforts underscores why this category is drawing capital: modest efficiency gains can have outsized profit impact.
What revenue leaders should watch in deployments
For enterprise buyers, the questions that matter are operational:
- Data and integration: how the platform reads and writes into CRM and engagement systems without creating data quality issues
- Autonomy boundaries: what the agent can execute vs what requires approval, especially for outbound messaging and account strategy
- Measurement: whether conversion lifts hold across segments, not only early adopter teams
- Rep experience: whether the system reduces context switching or becomes another stream of tasks
- Security and compliance: how account intelligence is handled, and what guardrails exist for customer communications
If Actively can sustain performance signals like higher outreach conversion while keeping governance tight, it strengthens the case that “always on” agents will become a standard layer in enterprise revenue operations.
Leave a Reply