# Glean vs Patched

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. Patched records 3,111 monthly visits with +30% growth and Paid, Contact for Pricing pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [Patched](https://openaitools.app/tool/patched) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://patched.codes |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Workflow, AI Developer Tools, AI Agent, Large Language Models (LLMs) |
| Pricing Model | Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 3,301,875 | 3,111 |
| MoM Growth Rate | +0.1% | +30% |
| Primary Market | United States | United States |
| Direct Visits | 2,628,666 | 1,226 |
| Review Score | 4.6 | 4.1 |
| Saved Count | 7 | 1 |
| 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)

## Patched

Patched positions itself differently from workflow orchestration tools: the pitch is execution, not orchestration. Teams describe a process, and Patched is meant to run it end to end, handling judgment-heavy and ambiguous cases that normally stall in a queue. The vendor reports throughput figures such as hundreds of thousands of workflows executed monthly, sub-hour average turnaround and resolution rates above 80 to 90 percent across published use cases.

The platform is aimed squarely at compliance-sensitive environments. It advertises compliant-by-design deployment on dedicated infrastructure, full auditability, SLA ownership and SOC 2 compliance, with named use cases in fraud and risk, banking customer operations and reconciliation. Because these teams cannot simply ship data to a shared public endpoint, the emphasis on isolated infrastructure and evidence trails is central to the offer.

Commercial terms are engagement-led: pricing scales with operational volume and prospects start by bringing their hardest workflow to a scoping call. The site is run by Patched Codes, Inc. and presents logos of publicly listed enterprises as references. Onboarding is quoted in weeks, with the vendor claiming operational deployment in roughly two to five weeks depending on the workflow.

**Pricing & Plans:** Pricing scales with operational volume and is quoted per engagement; the company asks prospects to book a call and start with their hardest workflow. No self-serve tier or public price list is shown on the homepage, and the pricing page is not publicly accessible to crawlers.

- **End-to-end workflow execution:** Patched takes a described process and runs it to completion, rather than producing outputs for a human to assemble and finish.
- **Auditability and compliance controls:** Systems are deployed on dedicated infrastructure with auditing built in, targeting regulated industries where evidence and traceability are mandatory.
- **SLA ownership:** The vendor takes responsibility for outcomes and resolution metrics, not just for keeping a system running.
- **Fraud and risk resolution:** Purpose-built for manual investigation backlogs, high false-positive rates and deadline pressure, with published case metrics from customer deployments.
- **Reconciliation and banking operations:** Handles cross-system referencing and zero-error-margin reconciliation work as well as high-volume banking customer requests.

**Strengths:** Focuses on completing regulated work end to end rather than selling another orchestration canvas; Compliance-first design with dedicated infrastructure and full auditability; Vendor accepts SLA ownership for outcomes, not just uptime; Published throughput and resolution metrics for specific operational use cases

**Limitations:** Pricing is not published and requires a sales conversation, which slows evaluation; No self-serve signup or free tier for hands-on testing; Deployments are quoted in weeks, so it is not an instant-solution tool

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

## Frequently Asked Questions

### How do Glean and Patched compare in monthly traffic?

Glean has 3,301,875 monthly visits, while Patched has 3,111. 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%; Patched has +30%.

### 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. Patched: Paid, Contact for Pricing. Pricing scales with operational volume and is quoted per engagement; the company asks prospects to book a call and start with their hardest workflow. No self-serve tier or public price list is shown on the homepage, and the pricing page is not publicly accessible to crawlers.

## 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 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 5 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | AI agents that run recurring business work for your team | [.md](https://openaitools.app/tool/creao.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [SmartSuite](https://openaitools.app/tool/smartsuite) | 259,211 | +2% | Freemium | One connected, AI-native platform for GRC, IT, projects and operations | [.md](https://openaitools.app/tool/smartsuite.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) |

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Source: https://openaitools.app/compare/glean-vs-patched

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)