Actively AI Raises $45M Series B for Per-Account Revenue Agents
Actively AI raised $45M to scale per-account AI agents that autonomously research, prospect, and move deals. What it signals for CI and sales teams.
What happened
On April 28, 2026, Actively AI announced a $45 million Series B funding round co-led by TCV and First Harmonic, with participation from Bain Capital Ventures, First Round Capital, and Alkeon. The round brings Actively's total funding to $68 million and will be used to build new products for go-to-market teams, hire additional talent, expand enterprise adoption, and open a new San Francisco office.
Actively, founded in 2021 by CEO Mihir Garimella and co-founder Anshul Gupta, has built what it calls an "Intelligence-Led Revenue" platform. The core product assigns a persistent AI agent to every account in a company's total addressable market. These agents operate continuously — researching accounts, identifying opportunities, developing outreach strategies, prospecting, and advancing deals — without waiting for human direction.
The company's early customer base includes Attentive, Ironclad, Ramp, and Samsara. At Samsara, Actively's per-account agents are deployed across the company's entire 1,000-plus-person GTM team, spanning account development, sales, revenue operations, and customer success. Samsara reports 2x conversion rates on Actively-driven outreach, stronger quota performance among top sellers, and faster internal AI rollouts with lower compute costs.
Why it matters for practitioners
Actively's raise represents a significant conceptual shift in how competitive intelligence and deal intelligence reach revenue teams. Rather than building a dashboard or content library that reps must proactively consult, Actively deploys autonomous agents that continuously research each account and execute actions on behalf of sellers. This is not a point solution for battlecard delivery — it is a persistent intelligence layer that operates at the account level.
1. The per-account agent model redefines what "intelligence-led" means for sales. Traditional CI and sales enablement workflows depend on a relay chain: CI teams produce intelligence, product marketing packages it into battlecards or briefs, and reps access it when they remember to look. Actively collapses this chain by assigning an agent that already knows the account context, monitors for changes, and acts. For CI teams, this raises a fundamental question: if agents can autonomously research accounts and surface competitive context, what is the CI team's role in the revenue workflow? The answer is likely strategic oversight and signal quality — but the operational execution layer is moving to software.
2. Samsara's deployment at 1,000+ GTM scale provides enterprise validation. Most AI sales tools struggle to demonstrate results beyond pilot programs. Samsara's full-team deployment — with reported 2x outreach conversion — is the kind of enterprise-scale proof point that accelerates category adoption. For teams evaluating whether per-account agents are production-ready, Samsara's results are the benchmark to reference. The CI for sales teams guide covers how intelligence integration into sales workflows has traditionally been structured — Actively represents a departure from that model.
3. The funding signals investor confidence in agent-native revenue infrastructure. TCV and First Harmonic co-leading a $45M round for a company that deploys autonomous agents across every account suggests investors see this architecture as the future of GTM execution — not just a feature bolted onto existing CRM. Combined with recent agent-focused raises from HockeyStack, Outcraft AI, and others, the pattern is clear: venture capital is betting that agentic AI will restructure how revenue teams operate, not merely augment existing workflows.
4. Competitive intelligence becomes an embedded, always-on function. When every account has a dedicated agent performing continuous research, the traditional cadence of quarterly competitive analysis or monthly battlecard updates becomes obsolete. Intelligence is generated and consumed continuously at the account level. For CI practitioners, this is both a threat and an opportunity: a threat to programs built around periodic deliverables, and an opportunity for teams that can shift to governing the quality and strategic direction of agent-generated intelligence.
Key details
- Funding amount: $45M Series B
- Lead investors: TCV and First Harmonic
- Participating investors: Bain Capital Ventures, First Round Capital, Alkeon
- Total funding to date: $68M
- Founded: 2021
- Co-founders: Mihir Garimella (CEO), Anshul Gupta
- Core product: Intelligence-Led Revenue platform with per-account persistent AI agents
- Key customers: Samsara, Attentive, Ironclad, Ramp
- Samsara deployment: 1,000+ person GTM team, reporting 2x outreach conversion rates
- Use of funds: New products, hiring, enterprise expansion, San Francisco office
Market implications
Actively's raise sits within a broader wave of agent-native GTM startups attracting significant capital. HockeyStack raised $50M for revenue agent blueprints, Outcraft AI raised $2M for autonomous revenue agents, and Fathom AI hit $5M ARR with a three-person team. The common thread: investors and early adopters believe that the next generation of revenue tools will not be dashboards, reports, or even chatbots — they will be autonomous agents that execute work.
For the competitive intelligence market specifically, this trend has a disruptive implication. Dedicated CI platforms like Klue, Crayon, and Contify have historically competed on the quality of their intelligence gathering and the efficiency of their content distribution to sales teams. If per-account agents can perform continuous competitive intelligence research and deliver it contextually at the moment of need, the value proposition of a standalone CI platform shifts from "intelligence delivery" to "intelligence strategy." CI tools would need to become the orchestration layer that governs what agents know and how they apply competitive context — rather than the delivery mechanism itself.
For CI practitioners, the practical implication is to start evaluating how agent-native platforms intersect with existing CI workflows. Teams that ignore this shift risk finding their battlecards and competitive briefs bypassed by agents that generate account-specific intelligence in real time. Teams that engage early can position CI as the strategic function that trains, audits, and governs the competitive knowledge these agents use.
Related resources
- Deal Intelligence — how deal-level intelligence is evolving from static reports to autonomous agent delivery
- Sales Enablement — the traditional sales enablement framework that per-account agents are restructuring
- Competitive Intelligence — the foundational practice that agents are now automating at the account level
- CI for Sales Teams — how CI programs traditionally integrate with sales workflows