Osano delivers a data privacy management suite covering assessments, vendor risk, data mapping, and consent workflows. The hiring velocity is heavily skewed toward sales (5 open roles) with manager-level hires dominant across the org—a pattern typical of platforms scaling GTM. Active projects reveal operational focus on sales process improvement and DevRev deployment, while pain points cluster around sales quota attainment and support scaling, suggesting a company optimizing commercial execution rather than core product expansion.
Osano is a data privacy platform founded in 2018 and headquartered in Austin, Texas. The product is built as an all-in-one suite for privacy professionals, addressing data privacy assessments, vendor risk management, data mapping, consent management, and subject rights requests. The company operates as a public benefit corporation and certified B-Corp. Osano serves mid-market and enterprise customers across finance, healthcare, technology, and other regulated sectors. The technical architecture is Python and JavaScript-based (FastAPI, React, Node.js) backed by PostgreSQL and Cassandra, with AWS and Azure for cloud infrastructure. Sales, support, and implementation are core operational focus areas.
Osano builds on FastAPI and Python for backend services, React and JavaScript for frontend, with PostgreSQL and Cassandra for data storage. AWS and Azure provide cloud infrastructure. HubSpot, Gong, and Zendesk support sales and customer operations.
Current projects focus on sales process improvement (quarterly planning, process systems, enablement), DevRev implementation and optimization, support dashboards and automation, and privacy-first AI system architecture.
Osano'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.