Splash Access is relevant to the AI agent ecosystem through its role as a bridge between physical sensors and digital action. Their 'Splash Sense' product is effectively a computer vision agent that monitors physical environments via Cisco Meraki cameras and triggers specific tasks based on visual logic. By integrating with the MV Sense API, they allow users to define 'if-this-then-that' scenarios where the trigger is a real-world event (like a crowd forming) and the action is a digital notification or API call.
In the broader agent stack, Splash Access acts as an environmental sensor and actuator layer. It provides the infrastructure for agents to 'see' the physical world and 'act' upon it by communicating with other software systems like Twilio or CRMs. Their presence in the directory highlights how AI is moving from digital-only LLM interactions into physical space management and automated facility operations.
Splash Access is a software company that builds connectivity and analytics tools on top of the Cisco Meraki cloud. Founded in 2013 by Tim Ormrod and based in Leyland, UK, the company began by solving the friction associated with guest Wi-Fi onboarding. Instead of basic captive portals, they developed a system that uses Meraki's APIs to automate the provisioning of splash pages, allowing businesses to capture visitor data and instantly authorize users onto a network. This technical focus on API integration rather than generic network overlays allowed the company to scale within specific verticals like hospitality and education.
In early 2025, Splash Access underwent a significant transition by merging with Purple (now Purple AI). This merger combined Splash Access's deep Meraki-specific engineering with Purple's broader hardware-agnostic analytics platform. The move is part of a wider industry trend toward using Wi-Fi and camera infrastructure as a sensor network for physical spaces, moving beyond simple internet access into the realm of business intelligence.
One of the more distinct products in the Splash Access catalog is Splash Sense. This tool integrates with Cisco Meraki MV smart cameras to process location analytics in real-time. Unlike traditional security camera software, Splash Sense is an automation engine. It monitors visitor traffic and footfall trends, allowing managers to set specific thresholds. For example, a retail manager can configure an alert to trigger when more than 20 people are detected in a specific zone. The system then executes an action, such as sending a text message via Twilio to staff on the floor. This transformation of visual data into a digital alert is a foundational example of how environmental data is being used to drive automated business workflows.
For the education and multi-dwelling unit (MDU) sectors, the company solves the problem of "shared-yet-private" networks. Using Cisco Meraki's Individual Pre-Shared Key (IPSK) technology, Splash Access allows a university to give each student a single Wi-Fi key that works across the campus while keeping their devices on a private virtual network. This eliminates the need for complex 802.1X certificates for personal devices like gaming consoles or smart speakers. The company manages the backend onboarding for these keys, integrating with identity providers like Azure AD and SAML to ensure that access is tied to the student's existing credentials.
The company is led by founder Tim Ormrod and a small team of developers including Paul Molyneux and Josh Lane. Their client list includes major brands like KFC, TGI Fridays, and various high-profile universities. By focusing on the "hard" parts of network integration—such as UDN (User Defined Networks) and satellite management—Splash Access has managed to remain relevant even as hardware manufacturers build more native features. As part of Purple AI, the team is now moving toward more advanced analytics, though they maintain a distinct identity as the primary solution for deep Meraki integrations.
Automated Wi-Fi onboarding and data collection for Cisco Meraki networks.
Splash Access is hiring.