The platform connects PR, CRM, paid media and web analytics data through APIs, leaving those existing systems in place while making their data jointly queryable from a single environment. TEAM LEWIS branded it OS1, signalling it as the first version of a planned platform roadmap rather than a finished product.
TEAM LEWIS built the architecture around data isolation. Each client's data sits in a separately-provisioned environment, and the platform supports per-jurisdiction data residency controls. Those constraints rule out the shared-cloud model that most consumer-facing AI tools use; Orbital runs in environments where data governed under one jurisdiction cannot be co-mingled with data governed under another.
The platform surfaces three categories of signal: reputation (brand sentiment and share of voice across PR and media coverage), demand (pipeline and conversion indicators from CRM and paid channels) and AI visibility. TEAM LEWIS defines AI visibility as how a brand or product appears within AI-generated responses and recommendation engines. As large-language-model search displaces conventional search in B2B discovery, that measurement gap is growing; most current analytics stacks track clicks and conversions but not AI citation frequency or framing.
Human TEAM LEWIS specialists review AI-generated outputs before they reach clients. The workflow uses automated analysis as an input into expert judgement rather than as a direct output, which the company says reduces the risk of unreviewed AI error reaching marketing decisions.
Fairil Yeo, EVP of AI and Growth at TEAM LEWIS, is available to discuss the platform architecture. Further detail is at teamlewis.com/orbital. TEAM LEWIS is headquartered at Battersea Power Station in London.
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