
On-premise, agentic website analytics. Ask your AI agent in plain English, get interactive dashboards—your data, your model, fully private.
Flowpoint is an on-premise, agentic website analytics platform that combines a self-hosted analytics engine with an AI agent. Unlike traditional SaaS analytics tools, Flowpoint is licensed software deployed entirely inside your own environment—your servers, your cloud, your network. Website analytics data is collected, stored, and processed without ever leaving your infrastructure: no third-party cloud, no external processing, and no shared tenancy. This architecture makes privacy and data residency a matter of design, not policy.
At the core of Flowpoint is an AI agent that lets you ask analytics questions in plain English and receive interactive dashboards, conversion funnels, and reports in seconds. Example queries include 'traffic overview for the last 7 days', 'conversion funnel from homepage to signup', and 'top sources by country'. The agent can be accessed through a polished built-in UI or via a built-in Model Context Protocol (MCP) server, which exposes your analytics to any MCP-compatible client such as Claude, Claude Code, Cursor, or your own tools. You maintain full control over the inference layer: point the agent at a local model running in your network or a cloud model like Claude—your choice. Regardless of the model, the agent only builds dashboard interfaces and never sees your raw analytics data.
The built-in UI provides a ready-made 'Flowpoint Today' workspace, with quick links to traffic overview, conversion funnel analysis, UTM campaign reports, and weekly team summaries. Flowpoint includes a comprehensive set of analytics capabilities. Real-time tracking shows visitors on your site as they arrive, with sessions, events, and conversions recorded without delay. Custom filters let you slice data by device, browser, country, UTM source, and more, while conversion funnels reveal where users drop off. You can export any dashboard to PDF for stakeholder reporting. Because the MCP server runs inside your deployment, requests never leave your network, and any AI client your team already uses can query and build dashboards against your data without custom integration work. The agent supports back-and-forth iteration, so you can refine dashboards conversationally until they match your exact needs.
Deployment follows a simple three-step flow: license and deploy Flowpoint on-prem, connect your built-in UI or MCP client, and ask your AI agent to build dashboards from plain-English queries. The platform runs on your infrastructure end to end—servers, database, and the AI layer—so compliance with GDPR, UK DPA 2018, and internal data-residency policies is built in by default. This is the moat: nothing ever leaves your environment. Whether you are an enterprise needing strict data control, a development team using MCP clients, or a product team seeking real-time, natural-language analytics, Flowpoint provides a fully private, model-agnostic analytics solution that truly belongs to you.
Data-sensitive enterprises requiring full control over analytics data, Engineering and data teams that prefer self-hosted infrastructure, Organizations with strict GDPR or data-residency compliance needs, AI adopters who want to leverage LLMs without exposing raw data, MCP ecosystem users and developers (Claude, Cursor, etc.), Product and growth teams needing real-time, natural-language analytics
Daidaishou HubPaidDDS Hub: a developer-focused AI API gateway with low-latency Hong Kong relay to Anthropic and OpenAI
ProlificFreeProlific enables researchers and AI developers to collect high-quality, representative human data from verified participants in minutes, supporting preference tuning, safety evals, benchmarks, and academic studies with robust participant management.
DeepTranslatePaidA free AI-powered browser extension for instant bilingual translation of web pages, articles, and social media posts in 140+ languages.
CodeWhispererFreeA generative AI–powered coding assistant that accelerates software development across the entire lifecycle with real-time suggestions, agentic automation, security scanning, and deep AWS expertise, now delivered as Amazon Q Developer.