Appnalysis is a mobile intelligence Agent and decision-support platform that helps teams, and the AI assistants they work with, understand how mobile apps are built, how they evolve, and what actually drives outcomes in the real world. Ask it in plain language and get citation-backed answers, ready to plug into the AI assistants your team already uses.
Teams today rely on fragmented research, outdated sources, and internal opinion to make critical product and technical decisions. As mobile ecosystems grow in complexity, it becomes increasingly difficult to understand what "good" actually looks like.
Be curious enough to ask what you might be missing. Find the evidence rather than rely on assumption. And use what you learn to do the right thing for your organisation, your customers and ultimately their users.
Curiosity. Evidence. Integrity. These principles shape how we build Appnalysis and the people we build it for. Read the fuller story on Our Story.
Appnalysis works three ways. Ask Appnalysis answers questions in plain language, like an on-demand analyst. The self-service platform lets teams select apps, compare structured datasets, and access prebuilt insight reports. And via MCP, AI assistants like Claude and ChatGPT call Appnalysis directly as a specialist Agent. Appnalysis runs its own reasoning across mobile data sources and returns interpreted intelligence, not raw data. All three replace hours of manual research with structured, repeatable insight.
Most organisations already have access to data. The real bottleneck is interpretation, knowing what a signal actually means for the decision in front of you. Unlike traditional tools that focus on performance metrics such as downloads or revenue, Appnalysis focuses on the underlying drivers of success: the features, technologies, architectures, and usage patterns used across real-world apps, sectors and territories.
Appnalysis is built around that interpretation layer. It doesn't just retrieve evidence, it explains why a ranking, an SDK choice, or a monetisation pattern matters for your specific decision, whether that's a pitch, a roadmap call, an architecture review, copycat risk, or a compliance question.
Agencies use this interpretation to defend recommendations, product teams use it to justify roadmap calls and benchmark against competitors, enterprise organisations use it as audit-grade evidence, and ecosystem and policy teams use it to track how the mobile market actually behaves. A generic data source returns records; Appnalysis reasons over the evidence before responding. That is the difference between a data pipe and a domain-intelligent Agent.
Appnalysis is grounded in real-world experience of building and delivering mobile apps, and it originated from client work where teams repeatedly needed to analyse competitor apps, technologies, and market patterns, but had no scalable way to do so. Read the full account on Our Story.
Appnalysis is actively raising for its GTM phase and is HMRC SEIS/EIS advance-assured, tax-efficient for UK angels and funds. Appnalysis Limited is a UK-registered company with a live product, paying users, and an AI agent surface already in market. Investment can qualify for UK Seed Enterprise Investment Scheme and Enterprise Investment Scheme tax relief, subject to individual eligibility. For an intro call or our data room, get in touch.