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Side-by-side / Horizontal AI

Glean vs Lindy

Glean and Lindy compared on the same dimensions, with Nagent beside them: role, pricing, governance evidence, screenshots and the demonstration to ask for.

Glean vs Lindy: which fits a growth team?

Glean 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.

Sourced vendor findings presented on one framework. Statements are vendor-documented and dated on each dossier; effectiveness was not independently tested. Nagent is included as the platform compared.

Verdict

Glean and Lindy both sit in the Horizontal AI category. Glean presents enterprise search and context alongside multiplayer work, agent orchestration and governance. Lindy describes a shared AI teammate with connected tools, memory and reusable skills.

DifferenceGleanLindy
Published priceSales-led quote. No numerical platform price verified on the reviewed official page. Source ↗$29.99 / user / month. Plus: 3,000 credits; Pro $99.99/15,000; Max $199.99/35,000; Enterprise custom. Source ↗
Governance evidencePermission-aware retrieval is central to the product positioning. Inspect agent write access separately from search access. Source ↗The pricing FAQ says external-impact changes require approval. Enterprise SSO and audit capabilities should be confirmed in the quote. Source ↗
Growth scopeMarketing, Sales and CX Source ↗Marketing, Sales and CX Source ↗
Built from each vendor's sourced record: Glean reviewed 23 September 2026, Lindy reviewed 23 September 2026. Statements are vendor-documented; effectiveness was not independently tested.

At a glance

Same-category comparison. Delivery scope and plan still matter. Statements are vendor-documented; effectiveness was not independently tested.
DimensionNagent ↗Glean ↗Lindy ↗
Stack roleControl plane / Horizontal AIControl plane / Horizontal AIControl plane / Horizontal AI
Maturityscalingestablishedscaling
Growth scopeMarketing, Sales, CXMarketing, Sales, CXMarketing, Sales, CX
PriceFrom $29.99 per monthSales-led quote$29.99 / user / month
Billing basisPublished plans with seats and monthly credits; annual billing saves 33%. Enterprise adds VPC deployment, BYO model and BYO key.No numerical platform price verified on the reviewed official page.Plus: 3,000 credits; Pro $99.99/15,000; Max $199.99/35,000; Enterprise custom.
Documented statementsNagent 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.Glean presents enterprise search and context alongside multiplayer work, agent orchestration and governance. Its platform includes observability and controls around company information.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 evidenceEvery 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.Permission-aware retrieval is central to the product positioning. Inspect agent write access separately from search access.The pricing FAQ says external-impact changes require approval. Enterprise SSO and audit capabilities should be confirmed in the quote.
Promoted use casesRun 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 deliveryResearch customer accounts using internal knowledge; Prepare content grounded in company materials; Support employees and customer-facing teamsPrepare research and proposals; Triage support requests; Run scheduled reports and shared team tasks
Review statusFigures 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’s Glean seller profile contains a 10 September 2026 invited review praising cross-app search while acknowledging occasional misses in its headline; a 1 September review describes permission-aware discovery across work systems. Those experiences concern the broader Glean platform and search, not a validated test of the newer independent agents, scoped service identities or background write controls. Do not turn the seller-wide rating into an autonomous-agent score.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 fitNagent 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.Glean is a strong context-layer comparator when the main problem is finding and reusing organizational knowledge. Test execution depth for the actual growth workflow rather than assuming excellent search guarantees reliable external actions.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 questionCan 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.Can an agent combine permissioned sources without leaking restricted facts to another participant?Can a team lead inspect and correct the memory influencing a scheduled task before its next run?
Facts checked4 October 202623 September 202623 September 2026
Detailed guideAll Nagent comparisons ↗Nagent vs Glean ↗Nagent vs Lindy ↗

Screenshots and source context

Public Nagent source page captured 22 September 2026
Nagent · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗
Public Glean source page captured 22 September 2026
Glean · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗
A screenshot was not captured for this entry. Open the official visual source ↗. The absence of an image does not affect the evidence status of the sourced notes.

Nagent in detail

Horizontal AIControl planescalingMarketingSalesCX

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.

Published commercial evidence

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.

Nagent dossier ↗ · Every Nagent comparison guide ↗

Glean in detail

Horizontal AIControl planeestablishedMarketingSalesCX

Enterprise context, assistant and agent platform spanning search, creation and work execution.

What the vendor documents

Glean presents enterprise search and context alongside multiplayer work, agent orchestration and governance. Its platform includes observability and controls around company information.

Published commercial evidence

Sales-led quote

No numerical platform price verified on the reviewed official page.

Check current commercial source ↗

Collaboration and governance

Permission-aware retrieval is central to the product positioning. Inspect agent write access separately from search access.

Promoted use cases

  • Research customer accounts using internal knowledge
  • Prepare content grounded in company materials
  • Support employees and customer-facing teams

Review and customer evidence

G2’s Glean seller profile contains a 10 September 2026 invited review praising cross-app search while acknowledging occasional misses in its headline; a 1 September review describes permission-aware discovery across work systems. Those experiences concern the broader Glean platform and search, not a validated test of the newer independent agents, scoped service identities or background write controls. Do not turn the seller-wide rating into an autonomous-agent score.

Editorial fit

Glean is a strong context-layer comparator when the main problem is finding and reusing organizational knowledge. Test execution depth for the actual growth workflow rather than assuming excellent search guarantees reliable external actions.

Priority question for the demo: Can an agent combine permissioned sources without leaking restricted facts to another participant?

Glean dossier ↗ · Read Nagent vs Glean ↗

Lindy in detail

Horizontal AIControl planescalingMarketingSalesCX

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.

Published commercial evidence

$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?

Lindy dossier ↗ · Read Nagent vs Lindy ↗

How to run the evaluation

Run the same bounded pilot on Glean 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

Glean vs Lindy: what is the difference?

Glean is a reusable workspace and orchestration layer; Enterprise context, assistant and agent platform spanning search, creation and work execution. 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 Glean and Lindy compare on price?

Glean: Sales-led quote. No numerical platform price verified on the reviewed official page. 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: Glean or Lindy?

Glean: Permission-aware retrieval is central to the product positioning. Inspect agent write access separately from search access. 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 Glean 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 Glean 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 Glean and Lindy in a demo?

Glean: Can an agent combine permissioned sources without leaking restricted facts to another participant? 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 · Multiplayer AI for growth teamsResearch: 21 to 29 September 2026 · Public-source analysis, no hands-on benchmark · Sources & method