Ruvia provides trust infrastructure for platforms that need to make consistent, defensible decisions about fraud and risk. We build API-first systems that help teams reduce abuse, scale moderation, and demonstrate that reasonable steps were taken when things go wrong.
Our APIs are designed to sit inside real production workflows — scoring risk, flagging suspicious activity, and returning explainable outputs that teams can act on. Ruvia is not a consumer product or a one-off tool; it is infrastructure for trust.
To provide reliable, developer-ready trust infrastructure that helps platforms reduce fraud and operate responsibly at scale.
We believe trust decisions should be consistent, explainable, and auditable — not ad-hoc, opaque, or dependent on manual judgment alone.
Ruvia is built as middleware: it integrates early in ingestion and moderation workflows, provides clear signals and reason codes, and leaves final control with the platform.
We prioritise predictability and explainability over black-box scoring, and we design our APIs to support human-in-the-loop review where appropriate. This makes Ruvia suitable for environments where accountability matters — including regulated and high-trust platforms.
Ruvia sits at the intersection of fraud prevention, trust & safety, and platform infrastructure. It complements existing tools by providing a consistent trust layer that can be shared across teams and surfaces.
Instead of each product team building its own heuristics, rules, and review queues, Ruvia centralises trust logic and evidence — making decisions easier to reason about and defend over time.
We work with companies building platforms that accept third-party input and operate at scale — including hiring platforms, marketplaces, SaaS products, and AI-enabled services.
Our customers typically care about reducing fraud without over-blocking, scaling moderation without scaling headcount, and being able to explain why certain actions were taken when challenged by users, partners, or regulators.
All Ruvia APIs run on secure, production-grade infrastructure with scoped access controls, detailed audit logs, and real-time observability. We design for high-trust workloads where reliability and traceability matter as much as raw detection.
Our systems are built to integrate quickly, behave predictably, and evolve as fraud patterns change — without forcing teams to constantly re-engineer their trust stack.
Ruvia is based in York, UK, and was founded by Chris Smith, also co-founder of GoHire and Maple Logic. Our background spans SaaS, platform engineering, and trust & abuse systems used in real-world production environments.
We built Ruvia to turn hard-won experience into infrastructure that other teams can rely on — without having to learn the same lessons the hard way.