Relevance AI vs Lindy
Relevance AI and Lindy compared on the same dimensions, with Nagent beside them: role, pricing, governance evidence, screenshots and the demonstration to ask for.
Relevance AI is a reusable workspace and orchestration layer at a quoted rate; Lindy is a reusable workspace and orchestration layer at $29.99 / user / month. Nagent is multiplayer AI for growth teams: agent teams for marketing, sales and CX in one shared workspace, from $29.99 a month, with autonomy earned on approved work.
Verdict
Relevance AI and Lindy both sit in the Horizontal AI category. For Relevance AI, the reviewed enterprise offer lists unlimited agents, tools, users and workforces, with custom action and vendor-credit allocations. Lindy describes a shared AI teammate with connected tools, memory and reusable skills.
| Difference | Relevance AI | Lindy |
|---|---|---|
| Published price | Custom enterprise pricing. Current pricing page lists Enterprise; actions and vendor credits require a quote. Source ↗ | $29.99 / user / month. Plus: 3,000 credits; Pro $99.99/15,000; Max $199.99/35,000; Enterprise custom. Source ↗ |
| Governance evidence | Access controls and audit features are listed in the enterprise offer. Confirm where approvals are enforced, what traces contain and which costs fall outside actions. Source ↗ | The pricing FAQ says external-impact changes require approval. Enterprise SSO and audit capabilities should be confirmed in the quote. Source ↗ |
| Growth scope | Marketing, Sales and CX Source ↗ | Marketing, Sales and CX Source ↗ |
At a glance
| Dimension | Nagent ↗ | Relevance AI ↗ | Lindy ↗ |
|---|---|---|---|
| Stack role | Control plane / Horizontal AI | Control plane / Horizontal AI | Control plane / Horizontal AI |
| Maturity | scaling | scaling | scaling |
| Growth scope | Marketing, Sales, CX | Marketing, Sales, CX | Marketing, Sales, CX |
| Price | From $29.99 per month | Custom enterprise pricing | $29.99 / user / month |
| Billing basis | Published plans with seats and monthly credits; annual billing saves 33%. Enterprise adds VPC deployment, BYO model and BYO key. | Current pricing page lists Enterprise; actions and vendor credits require a quote. | Plus: 3,000 credits; Pro $99.99/15,000; Max $199.99/35,000; Enterprise custom. |
| Documented statements | Nagent runs a shared workspace for people and agents, Smriti memory that every agent reads, Karma performance records built from each agent's KPIs and governance history, and composable skills, tools, agents and workflows. 17 ready-to-install agents ship today: one super agent, 8 function specialists and 8 industry strategists. Agents run on 19 model providers and 61 models and connect to 998 tools. More than 200 agents run on Nagent, built in the agent builder or installed from the marketplace. 4 patents filed, 3 published. | The reviewed enterprise offer lists unlimited agents, tools, users and workforces, with custom action and vendor-credit allocations. It also lists agent evaluations, A/B testing, SSO, RBAC and audit logs. | Lindy describes a shared AI teammate with connected tools, memory and reusable skills. Pricing uses seat allocations within a shared credit pool, with no rollover and paused usage rather than automatic overages. |
| Governance evidence | Every action is fired, queued for approval or refused. Approval sits before the irreversible step, destructive changes always ask first, and each agent carries a budget cap and a kill switch. 6 workspace roles (Admin, Sales, Approver, Editor, Writer, Viewer), tenant isolation and an append-only audit trail. Autonomy runs L0 Locked to L4 Fully autonomous and is promoted on approved work, never automatically. ISO/IEC 27001:2022 certified by InterCert; SOC 2 Type II programme underway; tenant isolation, RBAC, append-only audit and private VPC available today. | Access controls and audit features are listed in the enterprise offer. Confirm where approvals are enforced, what traces contain and which costs fall outside actions. | The pricing FAQ says external-impact changes require approval. Enterprise SSO and audit capabilities should be confirmed in the quote. |
| Promoted use cases | Run marketing, sales and CX agent teams with the people who own the number; Give every agent one shared memory and one ledger of decisions; Raise each agent from locked to fully autonomous on approved work, with approval before anything irreversible; Bring in forward deployed engineers and Growth Pods for custom delivery | Build coordinated sales agents; Automate support and operations; Run marketing research and repeatable tool workflows | Prepare research and proposals; Triage support requests; Run scheduled reports and shared team tasks |
| Review status | Figures from live client campaigns, 2025 to 2026, are published on nagent.ai: Emami Navratna: 24.5M+ reach on a single agent-run campaign; Madmonk AI: 5x more qualified leads; Bigbasket: 70% lower video ad production cost; Sophoz: 3x trial user growth after relaunch. Thirteen brands are named, with four customers quoted by name. These are vendor-published results; ask for a reference in your function and the baseline behind each figure. | G2 exposes mixed individual experiences. A March 2026 invited review by Leopoldo E. is enthusiastic about custom-agent creation but describes an early learning journey. An organic November 2025 review by Griffin S. raises refund and billing concerns. Neither establishes typical production outcomes. Validate cancellation terms and production usefulness in your own pilot. | The public homepage displayed a G2-branded 4.9 badge when captured on 22 September 2026. The underlying review count, date and population were not independently verified, so the badge is recorded as vendor-presented evidence and is not used as a comparative score. Ask for references using the same integrations and approval rules as your team. |
| Editorial fit | Nagent is the option for teams that want agents and people in one workspace rather than a tool beside the work: shared memory, autonomy that is earned and enforced, published pricing from $29.99 per month, and a delivery team that owns the outcome with you. Evaluate it on the same evidence you would ask of any vendor: shared context, human control and a safe improvement loop. | Relevance is close to the custom-agent-team thesis, particularly where buyers want to assemble their own workforce. The procurement question is who owns design, evaluation and maintenance after the initial build. | Lindy competes on approachable teamwork and common recurring jobs. Test the exact difference between a reusable skill, shared context and a governed multi-agent process. |
| Priority question | Can two colleagues join the same live agent task, change its direction, inspect the memory it used, approve or reject an action and export the audit trail? Nagent demonstrates this in a team room. | Demonstrate a human approval gate that survives a retry, a handoff between agents and an external tool failure. | Can a team lead inspect and correct the memory influencing a scheduled task before its next run? |
| Facts checked | 4 October 2026 | 29 September 2026 | 23 September 2026 |
| Detailed guide | All Nagent comparisons ↗ | Nagent vs Relevance AI ↗ | Nagent vs Lindy ↗ |
Screenshots and source context
Nagent in detail
Multiplayer AI platform for growth teams: AI agent teams for marketing, sales and CX work with people in one shared workspace, with Smriti memory, Karma scoring and autonomy that is earned, not deployed.
What the vendor documents
Nagent runs a shared workspace for people and agents, Smriti memory that every agent reads, Karma performance records built from each agent's KPIs and governance history, and composable skills, tools, agents and workflows. 17 ready-to-install agents ship today: one super agent, 8 function specialists and 8 industry strategists. Agents run on 19 model providers and 61 models and connect to 998 tools. More than 200 agents run on Nagent, built in the agent builder or installed from the marketplace. 4 patents filed, 3 published.
From $29.99 per month
Published plans with seats and monthly credits; annual billing saves 33%. Enterprise adds VPC deployment, BYO model and BYO key.
Check current commercial source ↗Collaboration and governance
Every action is fired, queued for approval or refused. Approval sits before the irreversible step, destructive changes always ask first, and each agent carries a budget cap and a kill switch. 6 workspace roles (Admin, Sales, Approver, Editor, Writer, Viewer), tenant isolation and an append-only audit trail. Autonomy runs L0 Locked to L4 Fully autonomous and is promoted on approved work, never automatically. ISO/IEC 27001:2022 certified by InterCert; SOC 2 Type II programme underway; tenant isolation, RBAC, append-only audit and private VPC available today.
Promoted use cases
- Run marketing, sales and CX agent teams with the people who own the number
- Give every agent one shared memory and one ledger of decisions
- Raise each agent from locked to fully autonomous on approved work, with approval before anything irreversible
- Bring in forward deployed engineers and Growth Pods for custom delivery
Review and customer evidence
Figures from live client campaigns, 2025 to 2026, are published on nagent.ai: Emami Navratna: 24.5M+ reach on a single agent-run campaign; Madmonk AI: 5x more qualified leads; Bigbasket: 70% lower video ad production cost; Sophoz: 3x trial user growth after relaunch. Thirteen brands are named, with four customers quoted by name. These are vendor-published results; ask for a reference in your function and the baseline behind each figure.
Editorial fit
Nagent is the option for teams that want agents and people in one workspace rather than a tool beside the work: shared memory, autonomy that is earned and enforced, published pricing from $29.99 per month, and a delivery team that owns the outcome with you. Evaluate it on the same evidence you would ask of any vendor: shared context, human control and a safe improvement loop.
Priority question for the demo: Can two colleagues join the same live agent task, change its direction, inspect the memory it used, approve or reject an action and export the audit trail? Nagent demonstrates this in a team room.
Relevance AI in detail
AI workforce platform for building and operating agents, with strong go-to-market templates.
What the vendor documents
The reviewed enterprise offer lists unlimited agents, tools, users and workforces, with custom action and vendor-credit allocations. It also lists agent evaluations, A/B testing, SSO, RBAC and audit logs.
Custom enterprise pricing
Current pricing page lists Enterprise; actions and vendor credits require a quote.
Check current commercial source ↗Collaboration and governance
Access controls and audit features are listed in the enterprise offer. Confirm where approvals are enforced, what traces contain and which costs fall outside actions.
Promoted use cases
- Build coordinated sales agents
- Automate support and operations
- Run marketing research and repeatable tool workflows
Review and customer evidence
G2 exposes mixed individual experiences. A March 2026 invited review by Leopoldo E. is enthusiastic about custom-agent creation but describes an early learning journey. An organic November 2025 review by Griffin S. raises refund and billing concerns. Neither establishes typical production outcomes. Validate cancellation terms and production usefulness in your own pilot.
Editorial fit
Relevance is close to the custom-agent-team thesis, particularly where buyers want to assemble their own workforce. The procurement question is who owns design, evaluation and maintenance after the initial build.
Priority question for the demo: Demonstrate a human approval gate that survives a retry, a handoff between agents and an external tool failure.
Lindy in detail
AI teammate that works across shared meetings, company tools, team channels and repeatable skills.
What the vendor documents
Lindy describes a shared AI teammate with connected tools, memory and reusable skills. Pricing uses seat allocations within a shared credit pool, with no rollover and paused usage rather than automatic overages.
$29.99 / user / month
Plus: 3,000 credits; Pro $99.99/15,000; Max $199.99/35,000; Enterprise custom.
Check current commercial source ↗Collaboration and governance
The pricing FAQ says external-impact changes require approval. Enterprise SSO and audit capabilities should be confirmed in the quote.
Promoted use cases
- Prepare research and proposals
- Triage support requests
- Run scheduled reports and shared team tasks
Review and customer evidence
The public homepage displayed a G2-branded 4.9 badge when captured on 22 September 2026. The underlying review count, date and population were not independently verified, so the badge is recorded as vendor-presented evidence and is not used as a comparative score. Ask for references using the same integrations and approval rules as your team.
Editorial fit
Lindy competes on approachable teamwork and common recurring jobs. Test the exact difference between a reusable skill, shared context and a governed multi-agent process.
Priority question for the demo: Can a team lead inspect and correct the memory influencing a scheduled task before its next run?
How to run the evaluation
Run the same bounded pilot on Relevance AI and Lindy and on Nagent, with the inputs, the required output and the measure fixed before the first demo. Ask each vendor to show who can propose, approve, execute, interrupt and audit the action, and keep the evidence.
Account research to approved follow-up
Give the team an account record, a current product brief and a small set of approved customer references. Ask it to identify a relevant problem, distinguish observed facts from inferred needs, and prepare a follow-up for review. Then change one source and require a second person to correct the draft without restarting the research.
Measure: source accuracy, reviewer minutes, approved follow-ups and CRM consistency.
Campaign brief to coordinated delivery
Start with one campaign objective, audience, budget constraint and brand guide. Require research, a brief, assets and a release checklist with distinct human owners. Introduce an unresolved claim midway through the process. The system should retain useful work while preventing that claim from silently propagating into every asset.
Measure: accepted assets, revision burden, approval latency and missing handoffs.
Customer insight to shared learning
Provide anonymized support themes and sales objections. Ask for a synthesized insight, a proposed campaign adjustment and a knowledge update. A marketing owner and a CX owner should review the same underlying evidence. The exercise tests cross-functional context and accountability, not merely summarization quality.
Measure: evidence coverage, disagreement resolution and reuse of approved learning.
The evaluation owner should be a growth operations lead. Use accepted work completed across tools as the business target.
Frequently asked questions
Relevance AI vs Lindy: what is the difference?
Relevance AI is a reusable workspace and orchestration layer; AI workforce platform for building and operating agents, with strong go-to-market templates. Lindy is a reusable workspace and orchestration layer; AI teammate that works across shared meetings, company tools, team channels and repeatable skills. Both sit in the same stack role, so delivery scope, commercial basis and governance decide.
How do Relevance AI and Lindy compare on price?
Relevance AI: Custom enterprise pricing. Current pricing page lists Enterprise; actions and vendor credits require a quote. Lindy: $29.99 / user / month. Plus: 3,000 credits; Pro $99.99/15,000; Max $199.99/35,000; Enterprise custom. Nagent publishes 4 plans, from $29.99 a month, with monthly credits as the unit of agent work.
Which has stronger governance: Relevance AI or Lindy?
Relevance AI: Access controls and audit features are listed in the enterprise offer. Confirm where approvals are enforced, what traces contain and which costs fall outside actions. Lindy: The pricing FAQ says external-impact changes require approval. Enterprise SSO and audit capabilities should be confirmed in the quote. Nagent puts approval before any irreversible action, gives each agent a budget cap and a kill switch, and keeps an append-only audit trail.
Is Nagent an alternative to Relevance AI or Lindy?
Nagent is a multiplayer AI platform where agent teams for marketing, sales and CX work with people in one shared workspace. It overlaps with Relevance AI and Lindy where a growth team wants agents to do the work, and differs in operating model, governance and delivery; many teams run it beside a a reusable workspace and orchestration layer.
What should I ask Relevance AI and Lindy in a demo?
Relevance AI: Demonstrate a human approval gate that survives a retry, a handoff between agents and an external tool failure. Lindy: Can a team lead inspect and correct the memory influencing a scheduled task before its next run? For Nagent, ask to see a team room with several people, an approval taken in the Inbox and the audit entry it leaves.
Sources and research notes
- Nagent · product ↗
- Nagent · commercial / feature reference ↗
- Nagent · platform, workspace and security ↗
- Nagent · customer results ↗
- Relevance AI · product ↗
- Relevance AI · commercial / feature reference ↗
- Workforce edge settings · approvals and limits ↗
- Independent reviews · G2 ↗
- Official current product and availability claims ↗
- Lindy · product ↗
- Lindy · commercial / feature reference ↗
- Nagent · security and compliance ↗