# Actively AI Review (2026): AI SDR Pricing, Limits & Alternatives > Actively AI is a Web SaaS tool for AI SDR (Autonomous B2B Sales Agents & AI BDRs) in AI SDR & Outbound. Pricing: Custom / enterprise pricing. Best suited to B2B Sales Leaders, SDR/BDR Teams and Revenue Operations (RevOps). Editor ratings: AI autonomy L3 (conditional automation); moat score 4.2/5.0 (Proprietary moat). Fact-checked by Jagmeet Sine on Oct 12, 2026. Autonomous revenue orchestration platform deploying dedicated per-account AI agents to automate account-based research, pipeline generation, and customer. ## Key facts | Field | Value | | :-- | :-- | | Category | AI SDR & Outbound › Autonomous B2B Sales Agents & AI BDRs (AI SDR) | | Category aliases | AI Sales Agent, AI BDR, AI Sales Assistant | | Official website | https://www.actively.ai | | Pricing | Custom / enterprise pricing | | Pricing source | — | | Free plan | No / not disclosed | | Delivery | Web SaaS | | Audience | B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) | | AI autonomy level | L3 · Conditional automation | | Moat tier | 4.2 / 5.0 · Proprietary moat | | Funding stage | Series B | | Verified total funding | $45M | | Verified lead investors | Neo, Bain Capital Ventures | | Founders | Anshul Gupta, Mihir Garimella | | Company size | 51-200 employees | | Headquarters | New York City, NY | | Founded | 2022 | | Ecosystem integrations | Outreach | | Governance & docs | [Trust & Security](https://www.actively.ai/security) · [Terms](https://www.actively.ai/terms) · [Privacy](https://www.actively.ai/privacy) | | Verified profiles (sameAs) | https://www.linkedin.com/company/actively-ai/, https://www.crunchbase.com/organization/actively-ai | | Fact-checked by | Jagmeet Sine on Oct 12, 2026 | | Last data check | Oct 12, 2026 | ## Buyer fit verdict: when to choose vs. skip Actively AI ### Choose Actively AI if - **Target ICP & Stack Fit**: You operate as B2B Sales Leaders, SDR/BDR Teams and Revenue Operations (RevOps) requiring a Web SaaS deployment for AI SDR, with verified ecosystem connectivity for Outreach. - **L3 Architecture & Defensibility**: Defensibility stems from its dedicated Per-Account Agent architecture operating via Model Context Protocol (MCP) integrations, creating isolated context graphs and high switching costs across multi-touch enterprise pipeline workflows. - **Commercial Model Fit**: Your procurement budget aligns with Custom / enterprise pricing. ### Walk away from Actively AI if - Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Actively AI requires sales-gated custom quoting). - Walk away if your workflow cannot tolerate context graph drift: Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences. - Walk away if bi-directional CRM synchronization latency is a deal-breaker for your team: High-volume field updates across thousands of parallel account agents can strain CRM API rate limits, introducing execution delays during real-time rep handoffs. ## Actively AI verified pricing tier schedule | Tier / Plan | Verified Rate | Team Scale Fit | Highlights & Quota Gates | | :-- | :-- | :-- | :-- | | Enterprise / Custom | Custom quote | 15–50+ seats (Enterprise SLA) | Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA. | ## Hidden TCO multipliers & contract negotiation playbook ### Hidden cost drivers to audit - **Context Graph Drift**: Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences. - **Bi-Directional CRM Synchronization Latency**: High-volume field updates across thousands of parallel account agents can strain CRM API rate limits, introducing execution delays during real-time rep handoffs. ### Contract levers to demand before signing - Demand a 30- to 60-day paid pilot opt-out clause in the Actively AI order form before signing a 12-month enterprise commitment. - Require a sandbox proof-of-concept testing context graph drift against your live CRM/data schema before annual sign-off. ## Key entities & sub-agents - **MCP**: Model Context Protocol interface connecting proprietary data directly into agent runtimes. ## Ecosystem integrations & compliance - **Supported integrations**: Outreach. ## Pros & cons ### Pros (Core strengths) - **Per-Account Agents generating dynamic**: account context and personalized pipeline touches - **Watchtower monitoring engine tracking**: account-level trigger events and buying signals - **Model Context Protocol (MCP)**: interface connecting proprietary data directly into agent runtimes - **Agent Inbox interface**: enabling human-in-the-loop oversight and automated draft execution ### Cons (Operational limitations) - **Context Graph Drift**: Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences. - **Bi-Directional CRM Synchronization Latency**: High-volume field updates across thousands of parallel account agents can strain CRM API rate limits, introducing execution delays during real-time rep handoffs. - **Domain Warming and Reputation Overhead**: Automated email generation at enterprise scale requires rigorous DNS alignment, SPF/DKIM rotation, and mailbox warmup tracking to prevent spam filtering. ## Moat analysis Defensibility stems from its dedicated Per-Account Agent architecture operating via Model Context Protocol (MCP) integrations, creating isolated context graphs and high switching costs across multi-touch enterprise pipeline workflows. ## Editorial review Fact-checked by Jagmeet Sine on Oct 12, 2026. ### Background Backed by $45M in venture funding, Actively AI was founded in 2022 in New York City, NY, to replace manual outbound prospecting with account-isolated autonomous execution. The company targets revenue operations leaders, sales development directors, and enterprise account executives who run complex account-based commercial models. Instead of relying on mass sequencing tools, the platform structures GTM execution around dedicated computational entities assigned to individual target accounts. ### How Actively AI works At its operational core, Actively operates at L3 autonomy using a proprietary Per-Account Agent framework. The data ingestion pipeline continuously aggregates structured CRM objects alongside real-time web telemetry, corporate filings, and executive hiring signals. Leveraging the Model Context Protocol (MCP), each agent evaluates unified prospect state data before executing touches, while the Watchtower subsystem flags account-level inflections to trigger context-aware outreach workflows through an Agent Inbox. ### Limitations Operational considerations and platform boundaries include: - **Context Graph Drift**: Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences. - **Bi-Directional CRM Synchronization Latency**: High-volume field updates across thousands of parallel account agents can strain CRM API rate limits, introducing execution delays during real-time rep handoffs. - **Domain Warming and Reputation Overhead**: Automated email generation at enterprise scale requires rigorous DNS alignment, SPF/DKIM rotation, and mailbox warmup tracking to prevent spam filtering. ### Actively AI pricing Actively AI operates an enterprise commercial model where pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. Contracts typically scale based on target account volume, designated seat allocations, and compute usage across dedicated agent runtimes without public list pricing. ### How Actively AI compares In the AI SDR landscape, actively AI competes directly against autonomous sales platforms such as 11x.ai, 1mind, and aiola. While 11x.ai emphasizes general-purpose digital SDRs handling broad top-of-funnel outreach, Actively specializes in deep, per-account state preservation via its MCP framework. This architecture favors enterprise sales teams running high-ACV, account-based growth motions over high-volume transactional outreach engines. ## Frequently asked questions about Actively AI ### How much does Actively AI cost and does it require a custom enterprise quote? Published pricing summary for Actively AI: Custom / enterprise pricing. A permanent free plan is not disclosed for Actively AI. Actively AI operates an enterprise commercial model where pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. ### How does Actively AI work and how autonomous is its AI architecture? Autonomous revenue orchestration platform deploying dedicated per-account AI agents to automate account-based research, pipeline generation, and customer. Within AI SDR (Autonomous B2B Sales Agents & AI BDRs), MarTechRadar rates its execution architecture at L3 · Conditional automation with a verified Moat Score of 4.2 / 5.0 (Proprietary moat). Defensibility stems from its dedicated Per-Account Agent architecture operating via Model Context Protocol (MCP) integrations, creating isolated context graphs and high switching costs across multi-touch enterprise pipeline workflows. Corporate profile: Founded by Anshul Gupta, Mihir Garimella, operating at 51-200 employees scale. ### What are the main limitations of Actively AI and when should buyers walk away? Based on our editorial technical audit, key operational considerations and boundaries for Actively AI include: (1) Context Graph Drift: Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences. (2) Bi-Directional CRM Synchronization Latency: High-volume field updates across thousands of parallel account agents can strain CRM API rate limits, introducing execution delays during real-time rep handoffs. (3) Domain Warming and Reputation Overhead: Automated email generation at enterprise scale requires rigorous DNS alignment, SPF/DKIM rotation, and mailbox warmup tracking to prevent spam filtering. Primary procurement walk-away rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Actively AI requires sales-gated custom quoting). ### What integrations, compliance certifications, and contract terms apply to Actively AI? Verified ecosystem and stack integrations include Outreach. First-party governance and developer endpoints verified on domain include: Trust/Security (https://www.actively.ai/security). Key TCO multiplier to watch: Context Graph Drift (Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences.) Before signing a contract, procurement teams should demand a 30- to 60-day paid pilot opt-out clause in the Actively AI order form before signing a 12-month enterprise commitment. ### What are the best Actively AI alternatives and head-to-head competitors in 2026? Top fact-checked alternatives to Actively AI in AI SDR (Autonomous B2B Sales Agents & AI BDRs) include Demandbase (Custom / enterprise pricing), Clay (Free plan · $54–$180/mo), 6sense (Custom / enterprise pricing), Gravity (Custom / enterprise pricing). In the AI SDR landscape, actively AI competes directly against autonomous sales platforms such as 11x.ai, 1mind, and aiola. While 11x.ai emphasizes general-purpose digital SDRs handling broad top-of-funnel outreach, Actively specializes in deep, per-account state preservation via its MCP framework. ## Alternatives - Demandbase: https://martechradar.ai/tools/demandbase/ - Clay: https://martechradar.ai/tools/clay/ - 6sense: https://martechradar.ai/tools/6sense/ - Gravity: https://martechradar.ai/tools/gravity/ - 11x.ai: https://martechradar.ai/tools/11xai/ --- Source: https://martechradar.ai/tools/actively-ai/ — MarTechRadar.ai (data licensed CC BY 4.0, attribution required).