AI-powered workflow intelligence platform for enterprise operations
Klarity maps how work actually happens across enterprise systems by observing decisions, capturing reasoning, and surfacing inefficiencies — a move from outcome-only logging toward continuous process intelligence. The company is sales-led (8 of 26 active hires) with strong product and engineering coverage, and their project list reveals a post-sales acceleration problem: half their initiatives target reducing time-to-value, compressing implementation cycles, and scaling delivery without proportional hiring.
Notable leadership hires: Alliances Director, Value Delivery Lead
Klarity builds an observability layer for enterprise operations that connects people, processes, and systems into what they call a Context Graph. The platform captures decision logic and institutional knowledge that normally stays trapped in individual heads or scattered across ServiceNow, Salesforce, NetSuite, and Oracle. Founded in 2017, the 51–200-person company is based in San Francisco and sells to mid-market and enterprise organizations struggling with fragmented workflows and slow change cycles. Their GTM emphasizes rapid onboarding and early value realization, with active focus on structured implementation sprints and playbook scalability.
Frontend: React, Next.js, TypeScript, Tailwind CSS. AI/ML: OpenAI (GPT-4, Codex), Gemini. Infrastructure: AWS, GCP, Azure. Integrations: ServiceNow, Salesforce, NetSuite, Oracle, Coupa, Stripe. Collaboration: Slack, Notion, Jira, Figma.
GPT-4 document chat, AI-native workflows, structured onboarding sprints, and scalable enablement programs. Core focus: reducing time-to-value and compressing discovery/implementation cycles for consulting and professional services firms.
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Klarity's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.