Side-by-side comparison of AI visibility scores, market position, and capabilities
$21.2M revenue 2024 (up from $8.2M 2023); $66.5M total funding ($40M Series B Aug 2023); 178 employees; 115+ supported frameworks; customers: Veeva, Fortinet, 3M, Motorola; compliance operations leader
Hyperproof was founded in 2019 by Craig Unger, a former compliance technology executive, to solve the operational inefficiency of enterprise compliance programs — the manual, spreadsheet-heavy process of collecting evidence, mapping controls to frameworks, and managing audit workflows across overlapping regulatory requirements. The company built a compliance operations platform designed to make continuous compliance achievable: rather than scrambling for evidence before an annual audit, teams maintain a live compliance posture against multiple frameworks simultaneously through integrations that automate evidence collection from cloud infrastructure and SaaS tools.\n\nHyperproof's platform provides a centralized control library mapping to 115+ frameworks including SOC 2, ISO 27001, HIPAA, FedRAMP, PCI DSS, GDPR, and CMMC. Controls are mapped once and reused across multiple frameworks to eliminate redundant evidence collection. Automated evidence collection integrates with AWS, Azure, GCP, GitHub, Jira, and Okta to pull compliance artifacts without manual effort. Risk management, vendor assessments, and policy management modules extend the platform beyond audit readiness into broader GRC workflows. Customers include Veeva Systems and Flexport.\n\nHyperproof reported $21.2 million in revenue for 2024, up from $8.2 million in 2023 — a 158% year-over-year increase — and has raised $66.5 million in total funding with 178 employees. Rapid growth reflects expanding compliance obligations on technology companies as AI governance frameworks, FedRAMP requirements, and state privacy regulations layer on top of existing security certifications. Hyperproof's automation-first architecture enables compliance program scaling without proportional headcount growth.
Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.
Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.
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