Tyler Flint
CEO/Co-founder

QPoint provides instant, zero-disruption visibility into all encrypted backend traffic without requiring sidecars or code changes. The platform automatically discovers connections and uses machine learning to classify sensitive data within the payload, such as PII and secrets. This illumination creates a real-time inventory of data flows, quantifying third-party risk and automating compliance evidence for data residency.
Raised to date
$6.1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



Modern applications rely heavily on external APIs, creating dependencies that can lead to outages, performance bottlenecks, and security vulnerabilities. Traditional monitoring tools often lack visibility into these external traffic flows, making it difficult to diagnose issues, track cloud costs, and enforce data governance policies.
Qpoint provides real-time visibility into external API dependencies and traffic flows using eBPF technology, enabling operators to monitor and log requests without data leaving their environment. The platform catalogs vendors, detects errors, logs requests, monitors for sensitive data, and tracks API token usage. By leveraging an extensible middleware framework, users can scan payloads, detect anomalies, and customize data stream processing to integrate with existing systems. This allows for immediate, actionable insights to troubleshoot faster, minimize downtime, and optimize cloud spend.
Qpoint is designed for platform teams and operators who need real-time visibility and control over their applications' external dependencies to ensure reliability, security, and cost efficiency.