Graphite Note is a decision intelligence platform that combines AutoML, causal machine learning and optimisation around specific business decisions. Instead of stopping at dashboards, it recommends the next action — which promotion to repeat, where to place inventory, which customers to target — and estimates the expected business impact.
Workable is an agentic recruiting and HR platform. A native AI agent sources passive candidates from 400M+ profiles, screens every applicant against your job criteria and builds vetted shortlists inside a complete ATS, while onboarding, performance, time off, employee records and reporting run on the same system of record.
Graphite Note is a decision intelligence platform that combines AutoML, causal machine learning and optimisation around specific business decisions. Instead of stopping at dashboards, it recommends the next action — which promotion to repeat, where to place inventory, which customers to target — and estimates the expected business impact.
AutoML and causal machine learning
Automated model building for prediction, causal inference and optimisation, targeted at a specific business decision rather than generic exploratory modelling.
Industry Decision Packs
Ready-made packs for retail, eCommerce, CPG, manufacturing, hospitality and telco that pair industry-specific models with the decision logic, rules and constraints.
Decision problem library
Answers recurring commercial questions such as promotion incrementality, price elasticity, assortment optimisation, churn uplift, inventory optimisation and production scheduling.
Impact estimation
Each recommendation comes with an expected-impact view — for example projected margin, retained revenue or uplift — so teams can rank and justify the next move.
強み・メリット
+Goes beyond dashboards to recommend specific, ranked actions
+Combines prediction, causal inference and optimisation in one platform
Industry Decision Packs shorten time-to-value for common problems
+Causal framing helps separate genuine drivers from correlation noise
+Decision API and activation layer support putting recommendations into production
制約・デメリット
–Enterprise-oriented product, so there is no simple self-serve free tier for individuals
–Decision Pack framing requires business context and clean first-party data to pay off
–Implementation effort is higher than a plug-in dashboard or BI tool
–Public pricing is not fully transparent — larger deployments need a sales conversation
Workable
Workable is an agentic recruiting and HR platform. A native AI agent sources passive candidates from 400M+ profiles, screens every applicant against your job criteria and builds vetted shortlists inside a complete ATS, while onboarding, performance, time off, employee records and reporting run on the same system of record.
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.
強み・メリット
+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
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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
+Strong distribution via 200+ job boards, LinkedIn and Indeed preferred partnerships
+Trusted by 35,000+ teams, with 270+ integrations and mobile-first candidate experience
制約・デメリット
–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
