CaaS creates a continuous, machine-readable record of device behaviour against the relevant specification, which humans — developers, consultants, and authorised test labs — can interpret and act on.
Certification processes are designed to be rigorous — and they should be. However, as certification ecosystems scale, much of the friction appears upstream, before devices ever reach authorised test labs.
Devices arrive prematurely, requirements are misinterpreted, evidence is fragmented, and avoidable back-and-forth consumes both vendor and lab capacity. These are not failures of standards or governance — they are structural consequences of scale.
Rather than replacing certification processes, CaaS focuses on observability and readiness — making device state explicit before formal certification begins.
By continuously evaluating device behaviour during development, CaaS helps identify readiness gaps early — before devices are submitted for formal certification.
This reduces avoidable lab submissions without lowering standards.
CaaS provides clear visibility into what has been tested, what has failed, and what has changed over time — enabling teams to address issues proactively rather than reacting late in the certification process.
Instead of fragmented logs, screenshots, and ad-hoc explanations, CaaS produces structured results, categorised failures, and longitudinal test history — increasing signal quality for anyone reviewing device readiness.
CaaS does not shortcut certification. It reduces friction by making behaviour explicit, eliminating rediscovery of known issues, and supporting informed human decision-making.
Certification authority and final decisions always remain with the appropriate bodies and authorised labs.
Think of CaaS as an upstream observability layer. It does not replace certification; it improves readiness and evidence quality before formal certification begins.
Teams iterate on firmware and device behaviour while standards requirements evolve.
Where most avoidable friction is introduced.
Repeatable readiness checks produce structured results, categorised failures, and longitudinal history — a machine-readable record humans can interpret and act on.
Evidence and clarity, not approval.
Authorised test labs run official procedures and make certification determinations according to the relevant framework.
Final authority remains with standards bodies and authorised labs.
Manufacturers can keep artefacts internal, share snapshots with consultants, or provide read-only visibility to authorised labs — always controlled by the manufacturer.
This supports sequencing and clarity, not shortcuts.
Earlier feedback, fewer surprises, and clearer preparation paths.
Structured evidence that supports high-value guidance on process, architecture, and documentation.
Improved visibility into device maturity and known weak points — without altering test authority.
Access to any shared artefacts remains controlled by the manufacturer.
CaaS is designed to support certification ecosystems without altering their authority or processes. It does not approve devices, replace authorised test labs, bypass official testing, or interpret specifications on behalf of standards bodies. Instead, it operates strictly upstream of certification, providing observability and readiness signals that help humans make better-informed decisions while preserving the rigor, neutrality, and governance of existing certification frameworks.
CaaS automates readiness assessment and evidence generation — not certification decisions.
Automation is used to execute repeatable readiness checks, generate structured evidence, and surface patterns and gaps early. Human judgement remains central, particularly where issues are architectural, procedural, or context-dependent. Final certification authority always remains with the relevant standards bodies and authorised test labs.
While CaaS is designed to support standards-based certification ecosystems broadly, its first implementation is aligned with Matter. Matter is a strong initial use case due to its multi-vendor ecosystem, rigorous certification requirements, and its complexity as a modern, IP-based protocol — where manual validation becomes increasingly difficult at ecosystem scale.
The challenges CaaS addresses are not unique to any single protocol. Any standards alliance with formal certification, authorised test labs, and a growing device ecosystem will eventually face the same structural pressures.
CaaS is built to meet that reality — by improving readiness, clarity, and trust without changing who certifies or how standards are enforced.
CaaS focuses on certification observability and readiness — not certification authority.
We’re open to exploratory conversations with manufacturers, consultants, and authorised labs interested in improving upstream readiness and evidence quality for standards-based device ecosystems.
CaaS is designed to support existing certification frameworks — not to replace them.
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