Cognism vs Enginy
Cognism (Web SaaS, Lead Enrichment & Waterfall Orchestration) and Enginy (Web SaaS, Autonomous B2B Sales Agents & AI BDRs) address adjacent GTM workflows. On pricing, Cognism lists Custom / enterprise pricing (no free plan disclosed), whereas Enginy lists Custom / enterprise pricing (no free plan disclosed). Technically, Cognism is rated L2 · Workflow copilot with a 4.3/5.0 (Proprietary moat (category leader)) moat, while Enginy is rated L3 · Conditional automation with a 4.2/5.0 (Proprietary moat) moat. Corporate profile: Cognism (founded 2015, HQ London, United Kingdom, $103.5M funding) vs. Enginy (founded 2023, HQ Barcelona, Spain, €5.5M funding). Fact-checked by Anna Xia (Oct 4, 2026) for Cognism and Anthony Hay (Oct 12, 2026) for Enginy. At a 5-seat team baseline, Cognism starts at Custom quote vs Enginy at Custom quote.
Cognism
B2B sales intelligence and enrichment engine delivering phone-verified contact datasets, Do-Not-Call scrubbing, and automated CRM hygiene for revenue teams.
5-Seat Floor: Custom quote (Custom / enterprise pricing) · Autonomy: L2 · Workflow copilot · Moat: 4.3/5.0 (Proprietary moat (category leader))
Target fit: B2B SaaS, Enterprise Brands (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 Cognism and Enginy differ
- Cognism is listed under Lead Enrichment & Waterfall Orchestration; Enginy under Autonomous B2B Sales Agents & AI BDRs.
- AI autonomy: Enginy is rated L3 · Conditional automation, Cognism L2 · Workflow copilot on the MarTechRadar scale.
- Moat tier: Cognism is rated Proprietary moat (category leader), Enginy Proprietary moat.
- Cognism was founded earlier (2015) than Enginy (2023).
- Headquarters: Cognism in London, United Kingdom, Enginy in Barcelona, Spain.
- Verified backing: Cognism records $103.5M (Viking Global Investors, AXA Venture Partners); Enginy records €5.5M (K Fund, Samaipata).
- Company headcount: Cognism is 201-500 employees; Enginy is 51-200 employees.
- Audience: Cognism targets B2B SaaS, Enterprise Brands; Enginy targets B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps).
- Ecosystem stack: Cognism connects with Salesforce, HubSpot, Pipedrive, Apollo.io; 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 Cognism vs Enginy (and when to walk away)
Choose Cognism if
- Target ICP & Stack Fit: You operate as B2B SaaS and Enterprise Brands requiring a Web SaaS deployment for Sales Intelligence, with verified ecosystem connectivity for Salesforce, HubSpot, Pipedrive, Apollo.io.
- L2 Architecture & Defensibility: Defensibility stems from a proprietary human-verified direct-dial layer coupled with continuous screening against European and global Do-Not-Call registries, establishing a compliance barrier that automated web crawlers cannot replicate.
- Commercial Model Fit: Your procurement budget aligns with Custom / enterprise pricing.
Walk away from Cognism if
- Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Cognism requires sales-gated custom quoting).
- Walk away if your workflow cannot tolerate enrichment latency: Human-in-the-loop mobile validation introduces multi-hour lag times when processing custom on-demand verification requests compared to purely synthetic programmatic scraping.
- Walk away if regional depth variance is a deal-breaker for your team: Data coverage density degrades sharply when prospecting outside core EMEA and North American business clusters into Latin American or Asia-Pacific markets.
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 | Cognism | Enginy |
|---|---|---|
| Subtrack | Lead Enrichment & Waterfall Orchestration | 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 | L2 · Workflow copilot | L3 · Conditional automation |
| Moat tier & score | 4.3 / 5.0 · Proprietary moat (category leader) | 4.2 / 5.0 · Proprietary moat |
| Delivery | Web SaaS | Web SaaS |
| Audience | B2B SaaS, Enterprise Brands | B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) |
| Ecosystem integrations | Salesforce, HubSpot, Pipedrive, Apollo.io, Model Context Protocol (MCP) | Salesforce, Outreach, Slack, Twilio Segment, Notion, Stripe |
| Compliance & governance | GDPR | GDPR, ISO 27001 |
| Funding & backing | $103.5M · Backed by Viking Global Investors, AXA Venture Partners | €5.5M · Backed by K Fund, Samaipata |
| Founders | James Isilay, Stjepan Buljat | Kai Brandt |
| Company size | 201-500 employees | 51-200 employees |
| Founded | 2015 | 2023 |
| Headquarters | London, United Kingdom | Barcelona, Spain |
| Fact-checked | Anna Xia, Oct 4, 2026 | Anthony Hay, Oct 12, 2026 |
| Governance & docs | Trust & Security ↗ · Changelog ↗ · Privacy ↗ | DPA ↗ · Terms ↗ · Privacy ↗ |
Cognism vs Enginy: TCO & constraint stress test
Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.
Cognism
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Cognism 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: Cognism deploys a direct enterprise contract model segmented across sales prospecting and CRM database enrichment packages.
- Primary Operational Bottleneck: Enrichment Latency: Human-in-the-loop mobile validation introduces multi-hour lag times when processing custom on-demand verification requests compared to purely synthetic programmatic scraping.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Cognism requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Cognism 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
Cognism
Operational considerations and platform boundaries include: Enrichment Latency: Human-in-the-loop mobile validation introduces multi-hour lag times when processing custom on-demand verification requests compared to purely synthetic programmatic scraping.Full limitations in the Cognism 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
Cognism: Custom / enterprise pricing
Cognism deploys a direct enterprise contract model segmented across sales prospecting and CRM database enrichment packages.
- 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.
- Enterprise Governance & Add-On Gating: Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.
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: Cognism vs Enginy
How does Cognism pricing compare to Enginy in 2026?
Cognism 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 Cognism and Enginy compare on AI autonomy and moat depth?
On the MarTechRadar L1–L5 scale, Cognism is rated L2 · Workflow copilot with a Proprietary moat (category leader) moat (4.3/5.0), while Enginy is rated L3 · Conditional automation with a Proprietary moat moat (4.2/5.0).
Which teams are Cognism and Enginy built for?
Cognism is a Web SaaS product in Lead Enrichment & Waterfall Orchestration designed for B2B SaaS, Enterprise Brands. 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 Cognism vs Enginy?
For Cognism: Operational considerations and platform boundaries include: Enrichment Latency: Human-in-the-loop mobile validation introduces multi-hour lag times when processing custom on-demand verification requests compared to purely synthetic programmatic scraping. 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 Cognism vs Enginy?
For Cognism: 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 Cognism 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.