# Dust vs Lancey

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Lancey records 0 monthly visits with -100% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Lancey](https://openaitools.app/tool/lancey) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.lancey.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Product Manager, AI For Data Analytics, AI Research Tool, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | -100% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

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

## Lancey

Lancey is an AI coding agent built around a different question than most developer tools. Rather than only helping you write code faster, it focuses on deciding what to write — listening to what customers actually ask for and linking those signals directly to your codebase. The stated goal is to be the first "multiplayer" coding agent that turns customer context into shipped fixes.

The workflow centers on ingestion. Lancey connects to your customer feedback channels — it names Slack, Intercom, Zendesk, Gong and Linear — and aggregates product feedback, bugs and feature requests into one place. From there it understands your code, turns each input into a prioritized, actionable task, and in Autopilot mode reads every new issue and begins working on it automatically. The output is production-ready pull requests delivered in the background, which early users report cutting triage time by around 40%.

Collaboration and security are built in: Lancey is multiplayer by default with org-wide memory, so a whole team stays aligned on the same shared context, and code plus customer data are protected through strict access controls and an isolated execution environment. Lancey does not publish self-serve pricing publicly; the site routes visitors to get started and speak with the team. The company notes it is working on something new and points followers to useclearline.com, so the product direction is evolving.

**Pricing & Plans:** Lancey does not publish public self-serve pricing. Its site directs visitors to get started and consult the team, so pricing is effectively contact-for-pricing and quoted per organization.

- **Customer signal ingestion:** Pulls product feedback, bugs and feature requests from Slack, Intercom, Zendesk and more into one stream, so triage no longer means digging through separate tickets.
- **Autopilot task creation:** Reads every new issue, determines what is needed and starts working on it automatically, converting feedback into prioritized tasks.
- **Ready-to-merge PRs:** Delivers production-ready, ready-to-merge pull requests in the background, so customer-requested fixes can ship in hours rather than days.
- **Multiplayer by default:** Built as a multiplayer agent with org-wide memory, keeping engineering managers and engineers working from the same shared context.
- **Secure by design:** Strict access controls and an isolated execution environment keep code and customer data protected.

**Strengths:** Turns scattered customer feedback into prioritized engineering tasks automatically; Delivers ready-to-merge PRs in the background, shortening time-to-fix; Multiplayer design with org-wide memory keeps whole teams aligned; Connects the tools teams already use, like Slack, Intercom, Zendesk and Linear

**Limitations:** No public self-serve pricing page — you must contact the team; The landing page signals an ongoing shift, so the roadmap can change; Value depends on connecting feedback sources and repo access, which takes some setup; Generated PRs still need human review before merging

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

## Frequently Asked Questions

### How do Dust and Lancey compare in monthly traffic?

Dust has 547,217 monthly visits, while Lancey has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; Lancey has -100%.

### How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Lancey: Contact for Pricing. Lancey does not publish public self-serve pricing. Its site directs visitors to get started and consult the team, so pricing is effectively contact-for-pricing and quoted per organization.

## 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 | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 5 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 6 | [Canny Autopilot](https://openaitools.app/tool/canny-autopilot) | 419,132 | -10.5% | Freemium, Paid, Contact for Pricing | AI feedback capture that ties customer requests to revenue | [.md](https://openaitools.app/tool/canny-autopilot.md) |
| 7 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 8 | [Productboard](https://openaitools.app/tool/productboard) | 297,500 | -9.3% | Freemium, Free Trial, Paid, Contact for Pricing | Agentic product management system for customer-driven roadmaps | [.md](https://openaitools.app/tool/productboard.md) |
| 9 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |
| 10 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |

---
Source: https://openaitools.app/compare/dust-vs-lancey

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