# Glean vs V7 Go

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. V7 Go records 116,919 monthly visits with -11.6% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [V7 Go](https://openaitools.app/tool/v7-lab) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://www.v7labs.com |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Document Extraction, AI Workflow, AI Agent, Large Language Models (LLMs) |
| Pricing Model | Contact for Pricing | Free Trial, Contact for Pricing |
| Monthly Visits | 3,301,875 | 116,919 |
| MoM Growth Rate | +0.1% | -11.6% |
| Primary Market | United States | Philippines |
| Direct Visits | 2,628,666 | 62,741 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 7 | 0 |
| Supported Platforms | Website | Website |

## Glean

Glean addresses a problem most enterprises hit after their first wave of AI adoption: models are powerful but isolated from the context of the business. The platform builds an enterprise context layer by indexing and understanding content across the tools a company already runs on, then uses that grounding to improve both answer quality and efficiency. Because fewer irrelevant tokens need to be sent to a model, the same question costs less to serve.

The product surface spans four areas: enterprise search, an AI assistant for everyday work, an agent platform for automating long-running processes, and Glean Protect for security and governance. Administrators also get model routing and an AI gateway, letting them decide which models handle which requests without rebuilding integrations. Everything inherits the access permissions of the source systems, so answers stay within each employee's existing rights.

Glean serves large organisations across finance, healthcare, retail, technology, and government, with published customers including Booking.com, Zillow, and Ericsson. It holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, and TX-RAMP Level 2 attestations, and reports 275+ connectors, 40+ supported language models, and 99.9%+ uptime on core services.

**Pricing & Plans:** Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase.

- **Permission-aware enterprise search:** Ask a question in plain language and get a cited answer assembled from documents, tickets, wikis, and messages across every connected system, with permissions respected.
- **Agent builder and orchestration:** Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.
- **Model routing and AI gateway:** Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.
- **Grounded content and analysis:** Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.
- **Governance and observability:** Administrators get usage controls, spend visibility, audit logging, and compliance-ready governance for every AI interaction.

**Strengths:** Answers cite source systems and inherit their permissions, which removes the main blocker to enterprise-wide rollout; One platform covers search, assistant, and agents instead of three separate vendors; Model routing and token efficiency directly reduce the cost per AI query at scale; 275+ pre-built connectors shorten integration work considerably

**Limitations:** Enterprise pricing is quote-based, so budget planning requires a sales conversation; Full value depends on connecting many internal data sources, which takes IT effort; Smallest teams may find the platform more than they need

[Profile (Markdown)](https://openaitools.app/tool/glean.md)

## V7 Go

V7 Go is designed around a simple premise: a language model can answer a question, but repeatable back-office work needs a system. Teams configure workflows that encode their own standard operating procedures, point agents at the documents involved — data rooms, ACORD forms, loss runs, policies, rent rolls, spreadsheets — and receive structured outputs in the templates they already use, from IC memos and pre-qualification notes to populated subscription documents and redlined NDAs.

Two architectural pieces carry the product. The Context Graph indexes every entity across your sources, syncs documents continuously, flags conflicts and follows the permissions of the original system, giving agents persistent memory rather than a per-prompt view. Around it, workflows add MCP integrations for connecting external apps, human-in-the-loop gates for review steps, statefulness across long-running processes and self-improving behaviour as reviewers correct outputs. Model-agnostic routing and confidence scores let firms mix providers without rewriting workflows, and every generated assertion can carry a citation to the page it came from.

Deployment is delivered as AI workflow-powered apps with a full backend, customisable interfaces and role-based access for deal teams, underwriters, analysts and reviewers. The company cites private markets, insurance and real estate as its core verticals, with template libraries for common tasks like CIM-to-IC-memo pipelines, portfolio monitoring, DDQ completion and tear-sheet generation. Enterprise security credentials include SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA alignment, and the platform states that customer data is never used to train models.

**Pricing & Plans:** Pricing is quoted per customer rather than published: your annual agreement is scoped in one call and combines a platform fee for V7 Go, the Context Graph and the vertical agents, a user component priced for the people who decide rather than everyone who logs in, and a volume-based document component tied to the pages you process. A book-a-demo / trial path is offered, and security documentation is available on request.

- **SOP-to-workflow automation:** Turn written procedures into AI workflows that run the same process on every document, with human review gates where accuracy matters most.
- **Context Graph memory:** Indexes entities across connected sources, syncs documents continuously, flags conflicts and respects source permissions to give agents durable, grounded context.
- **Source-cited extraction:** Financial, legal and commercial terms are extracted, reconciled and linked to the exact source page, so reviewers can verify every number in an output.
- **MCP integrations and apps:** MCP connectors and 1,400+ integrations plus customisable, backend-deployed apps let workflows write results into your existing CRM, data room and document stores.
- **Enterprise governance and security:** Covers SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA, with SSO, audit logs, model-agnostic routing, confidence scores and a commitment not to train on customer data.

**Strengths:** Deep source citation and confidence scoring make outputs auditable, which suits regulated review processes; Context Graph plus MCP integrations handles large, messy document sets without per-prompt document juggling; Vertical templates for finance, insurance and real estate shorten time-to-value compared with building from scratch; Strong compliance posture with SOC 2 Type II, ISO 27001, GDPR and HIPAA alignment, plus a no-training-on-customer-data commitment

**Limitations:** No public pricing or self-serve entry tier, so evaluation requires a sales call and a scoped annual contract; Built for enterprise document volumes; smaller teams may find the platform and implementation commitment disproportionate; Realising the advertised time savings depends on having clean SOPs and connected document sources before rollout

[Profile (Markdown)](https://openaitools.app/tool/v7-lab.md)

## Frequently Asked Questions

### How do Glean and V7 Go compare in monthly traffic?

Glean has 3,301,875 monthly visits, while V7 Go has 116,919. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; V7 Go has -11.6%.

### How does pricing compare?

Glean: Contact for Pricing. Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase. V7 Go: Free Trial, Contact for Pricing. Pricing is quoted per customer rather than published: your annual agreement is scoped in one call and combines a platform fee for V7 Go, the Context Graph and the vertical agents, a user component priced for the people who decide rather than everyone who logs in, and a volume-based document component tied to the pages you process. A book-a-demo / trial path is offered, and security documentation is available on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search. | [.md](https://openaitools.app/tool/dust.md) |
| 3 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 4 | [Nanonets](https://openaitools.app/tool/nanonets) | 221,826 | -10.6% | Free Trial, Paid, Contact for Pricing | AI agents that run document-heavy business processes end to end | [.md](https://openaitools.app/tool/nanonets.md) |
| 5 | [Moveworks](https://openaitools.app/tool/moveworks) | 168,527 | -4.3% | Contact for Pricing | Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search. | [.md](https://openaitools.app/tool/moveworks.md) |
| 6 | [Beam AI](https://openaitools.app/tool/beam-ai) | 157,935 | +37.6% | Contact for Pricing | An agentic automation platform that turns manual enterprise processes into self-running workflows | [.md](https://openaitools.app/tool/beam-ai.md) |
| 7 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 8 | [Coworker AI](https://openaitools.app/tool/coworker-ai) | 129,346 | -1.8% | Free Trial, Paid, Contact for Pricing | Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean. | [.md](https://openaitools.app/tool/coworker-ai.md) |
| 9 | [Sana](https://openaitools.app/tool/sana-labs) | 109,714 | -25.5% | Paid, Contact for Pricing | Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean. | [.md](https://openaitools.app/tool/sana-labs.md) |
| 10 | [GPTBots.ai](https://openaitools.app/tool/gptbots-ai) | 78,362 | +20% | Contact for Pricing | Enterprise AI agent platform for building and running business agents | [.md](https://openaitools.app/tool/gptbots-ai.md) |

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Source: https://openaitools.app/compare/glean-vs-v7-lab

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