Giving Websites a Brain: Why we invested in Architect

The static web problem
Most websites today still work like they did a decade ago: fixed layouts, static messaging, and generic calls-to-action.
Traditional CMS platforms were built for a world where websites were destinations, not responsive agents. Even with personalised emails or ad retargeting guiding to dynamic landing pages, the website remained a one-size-fits-all structure. The assumption was that the moment someone hit the landing page, the personalisation stopped. This is wildly out of sync with the rest of the B2B funnel, which is becoming real-time, behaviour-driven, and intent-based.
AI has transformed customer interactions in other channels, from SDR agents to dynamic ad targeting, but the web, the world’s most visited digital touchpoint, remains largely unresponsive.
The Architect approach: giving websites a brain
Architect AI is building the world’s first agentic website platform, that turns any site into an autonomous, self-learning AI agent. Instead of serving static content, an Architect-powered site observes visitor behaviour, understands intent, and generates tailored content, conversations, and workflows in real time.
An Architect agent learns from every user interaction and automates workflows in real time. Visitors can even converse with the site directly, asking questions, challenging it, and watching the page reorganise itself in real time. Every interaction feeds back into the system, making it smarter and more effective over time.
This isn’t just personalisation. It’s turning the website into an active GTM participant, a tireless digital salesperson that learns from every conversation.
Why now?
There is an underlying paradigm shift in how the web communicates and interacts. Both with human users, as well as with web-browsing agents and LLMs. This is changing the existing infrastructure of a mere CMS and landing page builder, forcing the emergence of a web that is optimised for that new world.
The page builder isn’t a tool that integrates with the CMS anymore, it’s a marketer. Timing for this is unique, as the current generation of reasoning models offers a step change in generating contextual copy and this is improving with every new generation coming out. Currently, investors are still strongly converging towards sales tooling, partially because of the vast number of large outcomes in that space. But with a big portion of sales budget now going into AI tooling, and a long-term shift from sales and marketing to a more unified tooling landscape, we believe in a new era of agentic GTM software.
To us, the current Architect product offers an exciting wedge to be at the forefront of those developments.
Partnering with Architect AI
When we met Ted, Luke, and Chris, we saw a founding team with rare depth and breadth:
- Ted Eltringham, CEO – Brings extensive scale-up experience from Rippling and Samsara, where he led product and operations teams through rapid growth phases.
- Luke Ramsden, Co-Founder & CPTO – A self-taught engineer, originally home-schooled, who built his first AI experiment at age 14 and later architected machine-learning systems for high-growth startups.
- Chris Nicolas, Co-Founder – Former SpaceX Program Manager, orchestrating cross-functional teams to deliver mission-critical launch software.
Their execution speed has been remarkable, building a complex product, signing early customers, and demonstrating measurable lifts in engagement and conversion for their customers.
That’s why we led Architect AI’s $4.75M seed round. The future of the web won’t be static, and we’re backing the team building the interface that will power it.