# Graph One vs Workable

Graph One records 982 monthly visits with -30.4% month-over-month growth and Contact for Pricing pricing. Workable records 10,780,627 monthly visits with +5.5% growth and Free Trial, Paid pricing.

| Metric | [Graph One](https://openaitools.app/tool/graph-one) | [Workable](https://openaitools.app/tool/workable) |
| :--- | :--- | :--- |
| Website URL | https://graph.one | https://www.workable.com |
| Categories | AI Knowledge Graph, AI Lead Generation, AI Investing, AI For Data Analytics | AI Recruiting, AI Agent, AI CRM |
| Pricing Model | Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 982 | 10,780,627 |
| MoM Growth Rate | -30.4% | +5.5% |
| Primary Market | United States | United States |
| Direct Visits | 384 | 5,309,440 |
| Review Score | 4.1 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Graph One

Graph One, operated by Borg Collective GmbH, addresses a familiar problem at advisory firms, consultancies and investment teams: relationship knowledge lives in individual inboxes and half-filled CRMs. When a partner leaves or a client contact changes role, that institutional memory walks out of the door. Graph One ingests metadata from email, calendar, CRM systems and public sources, resolves duplicate people and organisations into single entities, and draws the connections between them.

The result is a firm-level view of the network. Team members can search for a person and get one authoritative record instead of scattered threads, and they can ask who has the strongest real connection to a target. Warm paths are ranked by actual evidence — shared meetings, shared threads — rather than self-reported contact frequency, so recommendations are defensible rather than guesswork.

The product is explicitly privacy-conscious in its design. Graph One states that it reads metadata only and never message content, and that the resulting graph stays the property of the firm rather than being pooled across customers. Deployment is assisted: because every firm's data landscape is different, Graph One is configured with you against your own systems rather than self-served. It is currently presented as a beta, with access arranged through a demo call.

**Pricing & Plans:** Graph One does not publish public pricing. The site promotes a demo-led process and describes the product as being in beta, so commercial terms are arranged directly with the company.

- **Unified person and organisation records:** Email, calendar, CRM and public-source data are resolved into one clean entity per person or company, ending the duplicate-record problem.
- **Evidence-ranked warm paths:** Introduction routes are scored from real shared meetings and threads, and each ranking comes with the underlying evidence attached.
- **Firm-wide network search:** Search across the whole graph and get a single answer per person instead of hunting through inboxes and CRM tabs.
- **Team memory that survives turnover:** Context stays attached to the person and organisation, so relationships persist when roles and staff change.
- **Metadata-only, firm-owned data:** Only metadata is processed — never message content — and the resulting graph is kept as the firm's own asset.

**Strengths:** Addresses a real pain point for advisory and deal-driven firms where relationship knowledge is fragmented; Warm-path recommendations are grounded in measurable interaction evidence, not self-reported familiarity; Metadata-only processing and firm-owned graph are strong, clearly stated privacy commitments; One authoritative record per person removes the duplicate-contact mess in most CRMs

**Limitations:** No public pricing and a demo-gated, assisted setup make it hard to evaluate without a sales conversation; Currently labelled a beta, so feature depth and stability may still be evolving; Value depends heavily on how much of the firm's communication actually flows through connected systems

[Profile (Markdown)](https://openaitools.app/tool/graph-one.md)

## Workable

Workable positions itself as agentic software for recruiting and HR. The centrepiece is a native AI recruiting agent that operates inside the applicant tracking system: it continuously sources passive candidates from a 400M+ profile pool, evaluates every inbound applicant against up to 14 job criteria, messages candidates to verify interest and fill gaps, and produces a scored shortlist where strong fits auto-advance and clear rejections are filtered out. Because the agent inherits the platform's permissions and security model, every action is logged, permissioned and reviewable.

Underneath the agent sits a deep, conventional ATS. Teams manage requisitions and approvals, custom pipelines and profiles, interview kits, scorecards and assessments, self-service interview scheduling, and offer management with e-signatures and integrated background checks. One click publishes a job to 200+ boards across 100+ countries, and a drag-and-drop careers page builder plus LinkedIn Preferred and Indeed Platinum partnerships help with visibility. A searchable talent CRM keeps past applicants warm for future roles.

After the hire, Workable keeps going as a full HR platform: automated onboarding portals, employee self-service, employee records and document management, time off and attendance, performance and engagement tools, and payroll reporting. It is also deliberately open — MCP-native with comprehensive coverage for Claude, ChatGPT or custom agents, a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first experience. Pricing combines a free trial with paid plans tiered by company size and modules.

**Pricing & Plans:** Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

- **AI candidate sourcing:** The agent continuously searches 400M+ profiles, identifies strong fits before they apply and sends each a personalised outreach message for every open role.
- **Automated screening and engagement:** Every applicant is scored against up to 14 job criteria with visible reasoning, then messaged directly to confirm interest and close information gaps before reaching a recruiter.
- **Complete ATS underneath:** Requisitions, pipelines, interview kits and scorecards, interview scheduling, offer letters with e-signatures and integrated background checks in one platform.
- **Job ad syndication and careers pages:** Publish jobs to 200+ boards in 100+ countries and build branded career sites with a drag-and-drop editor, plus LinkedIn and Indeed Apply integration.
- **HR platform after the hire:** Onboarding, employee self-service, time off and attendance, performance reviews and engagement tools sit on the same employee data created during hiring.
- **Open platform and integrations:** MCP-native coverage plus a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first employee and candidate experience.

**Strengths:** Native AI agent does real sourcing, screening and candidate messaging, not just keyword ranking; Runs on top of a complete ATS rather than being a bolt-on tool with limited context; Hiring context carries through to onboarding and HR, so talent data compounds over time; Open and MCP-native: bring Claude, ChatGPT or your own agents while Workable stays the system of record

**Limitations:** Pricing scales with headcount and module selection, so costs grow as you add HR features; Full value depends on adopting both the ATS and HR modules, which is a bigger rollout for small teams; Very feature-rich, so administrators need time to configure workflows, permissions and approvals; Partner job-board and integration advantages vary by region and plan tier

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

## Frequently Asked Questions

### How do Graph One and Workable compare in monthly traffic?

Graph One has 982 monthly visits, while Workable has 10,780,627. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Graph One has a month-over-month growth rate of -30.4%; Workable has +5.5%.

### How does pricing compare?

Graph One: Contact for Pricing. Graph One does not publish public pricing. The site promotes a demo-led process and describes the product as being in beta, so commercial terms are arranged directly with the company. Workable: Free Trial, Paid. Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 2 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) |
| 3 | [Recruit CRM](https://openaitools.app/tool/recruit-crm) | 729,799 | -7.8% | Contact for Pricing | Unifies applicant tracking and client management with AI outreach, but is tailored more heavily for agency recruiters. | [.md](https://openaitools.app/tool/recruit-crm.md) |
| 4 | [Success.ai](https://openaitools.app/tool/success-ai) | 547,073 | +6.3% | Freemium, Free Trial | AI sales platform for unlimited B2B leads and outreach | [.md](https://openaitools.app/tool/success-ai.md) |
| 5 | [Kula AI](https://openaitools.app/tool/kula-ai) | 492,326 | +4.2% | Paid, Contact for Pricing | Provides an AI-native ATS with automated sourcing and CRM, but has a steeper learning curve than Workable. | [.md](https://openaitools.app/tool/kula-ai.md) |
| 6 | [Manatal](https://openaitools.app/tool/manatal) | 459,004 | -1% | Free Trial, Paid | Combines an applicant tracking system with powerful AI candidate matching, but offers less built-in employee onboarding. | [.md](https://openaitools.app/tool/manatal.md) |
| 7 | [Sense](https://openaitools.app/tool/sensehq-com) | 435,090 | -5.8% | Contact for Pricing | Automates candidate engagement and communication using AI agents, but focuses less on traditional ATS pipeline management. | [.md](https://openaitools.app/tool/sensehq-com.md) |
| 8 | [Deep Search](https://openaitools.app/tool/deep-search) | 359,001 | -52.7% | Paid | AI-enriched people profiles built from the public web, with sources you can verify | [.md](https://openaitools.app/tool/deep-search.md) |
| 9 | [PyjamaHR](https://openaitools.app/tool/pyjamahr) | 325,592 | -15.3% | Free Trial, Paid, Contact for Pricing | Delivers an accessible AI-powered applicant tracking system, but lacks some of Workable's advanced enterprise features. | [.md](https://openaitools.app/tool/pyjamahr.md) |
| 10 | [TalentRecruit](https://openaitools.app/tool/talentrecruit) | 319,337 | -12.1% | Contact for Pricing | Autonomous hiring powered by agentic AI | [.md](https://openaitools.app/tool/talentrecruit.md) |

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Source: https://openaitools.app/compare/graph-one-vs-workable

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