We build AI capabilities for project intelligence in urban, social, and economic development, organizing information so teams who plan, fund, coordinate, and deliver projects can work more effectively.

Our tools integrate all project data including documents, analysis, spatial information, stakeholder engagement, reporting, and external web sources into unified workflows across the project lifecycle. We focus on contexts where technology can meaningfully expand capacity, from urban infrastructure and humanitarian programs to climate adaptation and delivery management.

Built by practitioners who've worked inside the systems we're improving. Our team brings expertise from multilateral urban development, humanitarian field research and evaluation, and software engineering for secure, high-performance systems. We understand real-world workflows because we've lived them.

Team

Ayesha Khalil

Co-founder

Multilateral urban development specialist with experience across international agencies on sustainable infrastructure initiatives. Leads strategy and partnerships.

Jonah Rudlin

Co-founder

Urban and humanitarian development research specialist with field research and multi-national evaluation experience. Leads product and AI agent design.

Kieran Tilley

Co-founder

Software engineer with background in quantitative analysis and health technology. Leads architecture, engineering, and security.

2019

Origins

Layered began based on a series of ongoing conversations between the co-founders on how new technologies could be made useful within the urban development and humanitarian sectors.

2022

Advent of LLM technology

With the release of OpenAI's first Large Language Model (LLM), we recognised the huge benefits it could bring to ordering and analysing the large amounts of information needed in planning infrastructure and upgrading sustainably. We developed our first pilot with the Mayor of London using public social media data as a proxy for wellbeing at a city scale.

2025

Partnership phase

With the improvement in LLMs, AI agent-chain technology became viable for automating complex tasks, beginning our partnership phase with development organisations to build custom AI tools.

2026

Going forwards

We aim to integrate learnings from our partnerships into a broader platform that will scale and increase the accessibility of proven AI tools to more teams, whatever their size.

Contact

Interested in partnership? We're seeking decision-makers and teams ready to co-create custom AI capabilities for evidence-based planning and project intelligence.