# Belva vs Glean

Belva records 0 monthly visits with 0% month-over-month growth and Paid pricing. Glean records 3,301,875 monthly visits with +0.1% growth and Contact for Pricing pricing.

| Metric | [Belva](https://openaitools.app/tool/belva) | [Glean](https://openaitools.app/tool/glean) |
| :--- | :--- | :--- |
| Website URL | https://belva.ai | https://www.glean.com |
| Categories | AI Agent, AI Assistant, AI Voice Assistants, AI Customer Service | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 0 | 3,301,875 |
| MoM Growth Rate | 0% | +0.1% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 2,628,666 |
| Review Score | 4.1 | 4.6 |
| Saved Count | 6 | 7 |
| Supported Platforms | Website | Website |

## Belva

Belva describes itself as a company that builds intelligent, human-centered products for both organizations and individuals. Rather than shipping a single narrow tool, it presents a portfolio approach: shared AI infrastructure underneath, with vertical applications layered on top. That infrastructure is AiDB, Belva's proprietary knowledge system. AiDB acts as the intelligence layer behind an organization's AI tools and workflows, keeping information organized and current so recommendations and insights stay grounded as teams update their data.

The most visible application built on AiDB is LawGoat. For consumers, LawGoat offers a human-like conversation that helps people who are not lawyers figure out which area of law applies to their situation and get matched with an appropriate legal professional — lowering the barrier to finding legal help. For law firms, LawGoat works as a legal operating system: intelligent agents act on the firm's behalf, handling lead qualification, client follow-up and routine casework. Firms can customize agents in plain language without developers, and connect case management, email and document storage through just-in-time MCP connections that sync bi-directionally.

Belva's stated technical focus is easing the context burden on large language models. The company claims this enables larger effective context windows, fewer hallucinations and more grounded outputs, better task execution in complex or dynamic environments, and greater autonomy so AI can act with context-aware precision. Belva lists transparency, collaboration, innovation and empowerment as core values, and says its story began with a lawyer's effort to simplify complex legal processes.

**Pricing & Plans:** Belva lists its offering as paid, with pricing determined on a per-product basis. The public site does not publish plan tiers or rates for AiDB or LawGoat, so prospective customers — especially law firms evaluating LawGoat — should contact Belva directly for a quote.

- **AiDB knowledge system:** A proprietary intelligence layer that keeps an organization's information organized, current and synchronized as teams update it, so AI tools and workflows always work from fresh business data.
- **LawGoat for consumers:** A human-like conversational AI that helps non-lawyers identify the relevant area of law and matches them with a suitable legal professional.
- **LawGoat for law firms:** Always-on legal agents that automate lead qualification, client follow-up and routine casework so attorneys can concentrate on higher-value work.
- **No-code agent customization:** Firms shape agents using plain language rather than code, starting from pre-built agents and tuning them to the firm's language, structure and priorities.
- **MCP system integrations:** Connects case management, email and document storage through just-in-time MCP connections with bi-directional sync to keep everything automatically up to date.

**Strengths:** Covers both business and consumer needs through a shared technology platform rather than isolated point tools; LawGoat for firms includes no-code agent customization, so legal teams do not need developers to adapt agents; MCP-based integrations with bi-directional sync connect existing case management, email and document systems automatically; AiDB is positioned as a continuously synchronized knowledge layer, which supports more grounded AI outputs as data changes

**Limitations:** No public pricing information for AiDB or LawGoat, so buyers must go through a sales conversation first; The public site is fairly high-level and light on technical documentation, detailed feature specs and third-party benchmarks; Product lineup appears to be expanding, which means some areas may be newer and less battle-tested than established legal software

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

## 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)

## Frequently Asked Questions

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

Belva has 0 monthly visits, while Glean has 3,301,875. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Belva has a month-over-month growth rate of 0%; Glean has +0.1%.

### How does pricing compare?

Belva: Paid. Belva lists its offering as paid, with pricing determined on a per-product basis. The public site does not publish plan tiers or rates for AiDB or LawGoat, so prospective customers — especially law firms evaluating LawGoat — should contact Belva directly for a quote. 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.

## 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 | [Harvey](https://openaitools.app/tool/harvey-ai) | 1,832,998 | +26.1% | Contact for Pricing | Domain-specific AI for law firms, in-house legal teams, and professional services | [.md](https://openaitools.app/tool/harvey-ai.md) |
| 3 | [Wajo](https://openaitools.app/tool/wajo) | 743,352 | +469.3% | Freemium | AI action agents that call, book, buy and get it done | [.md](https://openaitools.app/tool/wajo.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 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 | [Synthflow.ai](https://openaitools.app/tool/synthflow-ai) | 95,542 | -7.6% | Free Trial, Contact for Pricing | Enterprise AI voice agents that work inside your phone system | [.md](https://openaitools.app/tool/synthflow-ai.md) |

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

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