Relevance AI vs Glean: Side-by-side Comparison for Growth

Relevance AI vs Glean: which fits a growth team?

Relevance AI is a reusable workspace and orchestration layer at a quoted rate; Glean is a reusable workspace and orchestration layer at a quoted rate. 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

Relevance AI and Glean 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. Glean presents enterprise search and context alongside multiplayer work, agent orchestration and governance.

Difference	Relevance AI	Glean
Published price	Custom enterprise pricing. Current pricing page lists Enterprise; actions and vendor credits require a quote. Source ↗	Sales-led quote. No numerical platform price verified on the reviewed official page. 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 ↗	Permission-aware retrieval is central to the product positioning. Inspect agent write access separately from search access. Source ↗
Growth scope	Marketing, Sales and CX Source ↗	Marketing, Sales and CX Source ↗

Built from each vendor's sourced record: Relevance AI reviewed 29 September 2026, Glean 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.

Dimension	Nagent ↗	Relevance AI ↗	Glean ↗
Stack role	Control plane / Horizontal AI	Control plane / Horizontal AI	Control plane / Horizontal AI
Maturity	scaling	scaling	established
Growth scope	Marketing, Sales, CX	Marketing, Sales, CX	Marketing, Sales, CX
Price	From $29.99 per month	Custom enterprise pricing	Sales-led quote
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.	No numerical platform price verified on the reviewed official page.
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.	Glean presents enterprise search and context alongside multiplayer work, agent orchestration and governance. Its platform includes observability and controls around company information.
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.	Permission-aware retrieval is central to the product positioning. Inspect agent write access separately from search access.
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	Research customer accounts using internal knowledge; Prepare content grounded in company materials; Support employees and customer-facing teams
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.	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	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.	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	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 an agent combine permissioned sources without leaking restricted facts to another participant?
Facts checked	4 October 2026	29 September 2026	23 September 2026
Detailed guide	All Nagent comparisons ↗	Nagent vs Relevance AI ↗	Nagent vs Glean ↗

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 Relevance AI source page captured 22 September 2026 — Relevance AI · 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 ↗

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 ↗

Relevance AI in detail

Horizontal AIControl planescalingMarketingSalesCX

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.

Published commercial evidence

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.

Relevance AI dossier ↗ · Read Nagent vs Relevance AI ↗

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 ↗

How to run the evaluation

Run the same bounded pilot on Relevance AI and Glean 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 Glean: 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. Glean is a reusable workspace and orchestration layer; Enterprise context, assistant and agent platform spanning search, creation and work execution. Both sit in the same stack role, so delivery scope, commercial basis and governance decide.

How do Relevance AI and Glean compare on price?

Relevance AI: Custom enterprise pricing. Current pricing page lists Enterprise; actions and vendor credits require a quote. Glean: Sales-led quote. No numerical platform price verified on the reviewed official page. 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 Glean?

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

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 Glean 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 Glean in a demo?

Relevance AI: Demonstrate a human approval gate that survives a retry, a handoff between agents and an external tool failure. Glean: Can an agent combine permissioned sources without leaking restricted facts to another participant? 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 facts on this page were checked against nagent.ai on 4 October 2026. Each competitor's dossier carries its own review date.