Actively AI vs Enginy
Actively AI (Web SaaS) and Enginy (Web SaaS) both compete in Autonomous B2B Sales Agents & AI BDRs. On pricing, Actively AI lists Custom / enterprise pricing (no free plan disclosed), whereas Enginy lists Custom / enterprise pricing (no free plan disclosed). Technically, Actively AI is rated L3 · Conditional automation with a 4.2/5.0 (Proprietary moat) moat, while Enginy is rated L3 · Conditional automation with a 4.2/5.0 (Proprietary moat) moat. Corporate profile: Actively AI (founded 2022, HQ New York City, NY, $45M funding) vs. Enginy (founded 2023, HQ Barcelona, Spain, €5.5M funding). Fact-checked by Jagmeet Sine (Oct 12, 2026) for Actively AI and Anthony Hay (Oct 12, 2026) for Enginy. At a 5-seat team baseline, Actively AI starts at Custom quote vs Enginy at Custom quote.
Actively AI
Autonomous revenue orchestration platform deploying dedicated per-account AI agents to automate account-based research, pipeline generation, and customer.
5-Seat Floor: Custom quote (Custom / enterprise pricing) · Autonomy: L3 · Conditional automation · Moat: 4.2/5.0 (Proprietary moat)
Target fit: B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) (Web SaaS)
Enginy
Autonomous outbound sales platform unifying conversational account discovery, multi-vendor waterfall enrichment, and multichannel outreach workflows.
5-Seat Floor: Custom quote (Custom / enterprise pricing) · Autonomy: L3 · Conditional automation · Moat: 4.2/5.0 (Proprietary moat)
Target fit: B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) (Web SaaS)
How Actively AI and Enginy differ
- Actively AI was founded earlier (2022) than Enginy (2023).
- Headquarters: Actively AI in New York City, NY, Enginy in Barcelona, Spain.
- Verified backing: Actively AI records $45M (Neo, Bain Capital Ventures); Enginy records €5.5M (K Fund, Samaipata).
- Ecosystem stack: Actively AI connects with Outreach, Model Context Protocol (MCP); Enginy connects with Salesforce, Outreach, Slack, Twilio Segment.
Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.
When to choose Actively AI vs Enginy (and when to walk away)
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, Model Context Protocol (MCP).
- 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.
Choose Enginy 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 Salesforce, Outreach, Slack, Twilio Segment.
- L3 Architecture & Defensibility: Consolidated waterfall routing over 20+ contact verification providers coupled with native smart inbox engagement infrastructure.
- Commercial Model Fit: Your procurement budget aligns with Custom / enterprise pricing.
Walk away from Enginy if
- Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Enginy requires sales-gated custom quoting).
- Walk away if your workflow cannot tolerate waterfall latency and API failures: Executing multi-vendor waterfall enrichment across more than twenty external identity sources introduces variable query latency and intermittent third-party timeout overhead during large bulk batch operations.
- Walk away if domain warming and mailbox health is a deal-breaker for your team: Automated multichannel delivery sequences require rigorous external mailbox warming regimens and DNS configuration management to avoid aggressive spam-filtering penalties across enterprise email providers.
Side-by-side facts
| Field | Actively AI | Enginy |
|---|---|---|
| Subtrack | Autonomous B2B Sales Agents & AI BDRs | Autonomous B2B Sales Agents & AI BDRs |
| Pricing | Custom / enterprise pricing | Custom / enterprise pricing |
| Pricing model | Enterprise / quote | Enterprise / quote |
| Published pricing tiers | Enterprise / Custom (Custom quote) | Enterprise / Custom (Custom quote) |
| Free access | No free plan disclosed | No free plan disclosed |
| Enterprise plan | Yes | Yes |
| AI autonomy level | L3 · Conditional automation | L3 · Conditional automation |
| Moat tier & score | 4.2 / 5.0 · Proprietary moat | 4.2 / 5.0 · Proprietary moat |
| Delivery | Web SaaS | Web SaaS |
| Audience | B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) | B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) |
| Ecosystem integrations | Outreach, Model Context Protocol (MCP) | Salesforce, Outreach, Slack, Twilio Segment, Notion, Stripe |
| Compliance & governance | — | GDPR, ISO 27001 |
| Funding & backing | $45M · Backed by Neo, Bain Capital Ventures | €5.5M · Backed by K Fund, Samaipata |
| Founders | Anshul Gupta, Mihir Garimella | Kai Brandt |
| Company size | 51-200 employees | 51-200 employees |
| Founded | 2022 | 2023 |
| Headquarters | New York City, NY | Barcelona, Spain |
| Fact-checked | Jagmeet Sine, Oct 12, 2026 | Anthony Hay, Oct 12, 2026 |
| Governance & docs | Trust & Security ↗ · Terms ↗ · Privacy ↗ | DPA ↗ · Terms ↗ · Privacy ↗ |
Actively AI vs Enginy: TCO & constraint stress test
Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.
Actively AI
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Actively AI does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Actively AI operates an enterprise commercial model where pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.
- Primary Operational Bottleneck: Context Graph Drift: Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences.
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).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Actively AI order form before signing a 12-month enterprise commitment.
Enginy
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Enginy does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Enginy distributes its software through a direct enterprise licensing framework. In accordance with its sales model, commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.
- Primary Operational Bottleneck: Waterfall Latency and API Failures: Executing multi-vendor waterfall enrichment across more than twenty external identity sources introduces variable query latency and intermittent third-party timeout overhead during large bulk batch operations.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Enginy requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Enginy order form before signing a 12-month enterprise commitment.
Limitations
Actively AI
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.Full limitations in the Actively AI review
Enginy
Operational considerations and platform boundaries include: Waterfall Latency and API Failures: Executing multi-vendor waterfall enrichment across more than twenty external identity sources introduces variable query latency and intermittent third-party timeout overhead during large bulk batch operations.Full limitations in the Enginy review
Pricing notes & tier schedules
Actively AI: Custom / enterprise 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.
- Enterprise / Custom (Custom quote, 15–50+ seats (Enterprise SLA)): Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
- 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.
Enginy: Custom / enterprise pricing
Enginy distributes its software through a direct enterprise licensing framework. In accordance with its sales model, commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.
- Enterprise / Custom (Custom quote, 15–50+ seats (Enterprise SLA)): Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
- Credit & Usage Burn Multiplier: Automated workflows consume metered credits/usage quotas; multi-step enrichment, voice minutes, or high-frequency agent runs can trigger mid-cycle top-up packs.
- Waterfall Latency and API Failures: Executing multi-vendor waterfall enrichment across more than twenty external identity sources introduces variable query latency and intermittent third-party timeout overhead during large bulk batch operations.
Frequently asked questions: Actively AI vs Enginy
How does Actively AI pricing compare to Enginy in 2026?
Actively AI is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed), whereas Enginy is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed).
How do Actively AI and Enginy compare on AI autonomy and moat depth?
On the MarTechRadar L1–L5 scale, Actively AI is rated L3 · Conditional automation with a Proprietary moat moat (4.2/5.0), while Enginy is rated L3 · Conditional automation with a Proprietary moat moat (4.2/5.0).
Which teams are Actively AI and Enginy built for?
Actively AI is a Web SaaS product in Autonomous B2B Sales Agents & AI BDRs designed for B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps). Enginy is a Web SaaS product in Autonomous B2B Sales Agents & AI BDRs designed for B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps).
What are the main limitations of Actively AI vs Enginy?
For Actively AI: 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. For Enginy: Operational considerations and platform boundaries include: Waterfall Latency and API Failures: Executing multi-vendor waterfall enrichment across more than twenty external identity sources introduces variable query latency and intermittent third-party timeout overhead during large bulk batch operations.
What are the hidden TCO drivers and contract negotiation levers for Actively AI vs Enginy?
For Actively AI: Context Graph Drift (Agents risk synthesizing obsolete organizational hierarchies if target accounts undergo rapid executive turnover that outpaces external data refresh cadences.) Negotiation lever: Demand a 30- to 60-day paid pilot opt-out clause in the Actively AI order form before signing a 12-month enterprise commitment. For Enginy: Credit & Usage Burn Multiplier (Automated workflows consume metered credits/usage quotas; multi-step enrichment, voice minutes, or high-frequency agent runs can trigger mid-cycle top-up packs.) Negotiation lever: Demand a 30- to 60-day paid pilot opt-out clause in the Enginy order form before signing a 12-month enterprise commitment.
Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 12, 2026.