Our Technology

Learning from past mistakes on construction projects is hard - collating historical data, interpreting results, and comparing results across your entire portfolio history. With nPlan, we have developed a solution to tackle these challenges using artificial intelligence. Our mission is to help you and your team overcome these complex challenges and deliver your projects successfully. 

Learn how we deliver insights to your project team and leadership using an interactive dashboard, integrating with the tools you use today.

accumulate

Our machine learning engine digests hundreds of millions of schedule tasks

Detect

We understand context and detect patterns in task performance and schedule adherence

Generate

We generate predictions based on your schedule, ensuring superhuman accuracy

Learn More

From Our Blog

Name
Role
Description

Meet Our Team

Vahan
Vahan has a PhD in Computing from Imperial College London and an MSc in Applied Mathematics from ETH Zurich. He is a visiting lecturer at Imperial Business School.
Senior Machine Learning Engineer
Amy
Amy holds an MEng in Bioengineering from the University of Cambridge and an MRes in Web Science and Big Data Analytics from UCL. She previously worked as a data scientist in the fashion and broadcasting industries.
Machine Learning Engineer
Alan
Alan spent 7 years as a technologist in quantitative finance and has extensive experience in algorithm design and software engineering. In his spare time, he is nearing completion of a PhD in deep learning.
Co-Founder & CTO
Amin
Amin has recently graduated with an MSci in Mathematics from Imperial College London, focusing on statistics and scientific computing.
Data Science intern
Petra
Petra has a Masters in Applied Computational Intelligence and BSc in Computer Science. She worked as a machine learning engineer, specialising in computer vision.
Machine Learning Engineer
Naman
Naman joins us from Imperial College London, where he is completing his MEng in Computing.
Software Engineer
Josh
Josh has recently joined the team full time as a software engineer having graduated from Imperial College London with an MEng in Computing.
Software Engineer
João
João is completing his PhD in machine learning applications for 5G telecommunications. He has an MSc in Electrical and Computer Engineering.
Machine Learning Engineer
Toby
Toby holds an MBA from London Business School. He brings 7 years of experience as a Project Manager at LendLease.
General Manager, Commercial
Carlos
Carlos has a PhD from UCL in biomedical engineering, where he used multi-scale computational modelling and machine learning algorithms to detect, characterize and classify cardiac diseases.
Machine Learning Engineer
Rares
Rares graduated with a BSc in Computer Science, after which he joined a digital agency and worked as a full-stack developer on a range of projects.
Software Engineer
Sarah
Sarah has a background in operations with the world's finest art. She worked for Christie's and commercial art galleries, after studying Classics at Oxford and attaining Masters degrees in Art Conservation and History of Art.
Operations & People Lead
Lucienne
Lucienne has a Masters in Intelligent Systems, where she practiced Java, Python & Machine learning. She worked at a digital agency, utilising these skills on projects for clients.
Software Engineer
Miffy
Miffy has a BS in Structural Engineering from UC San Diego and an MA in Design from the University of Leeds. She previously worked as a Project Engineer, manufacturing composite products for the aerospace industry.
Product Designer
Maya
Maya holds an MEng in Engineering Science from the University of Oxford and previously worked in quantitative finance.
Software Engineer
Natalia
Natalia holds a BSc in Computer Science. She worked as a data scientist/engineer at a boutique consulting firm specialising in machine learning and data engineering.
Data Scientist
Georgia
Georgia brings 7 years of experience working on major construction projects, most recently as a Risk Analyst. She advised on major schemes worth up to £30bn for clients like Network Rail, Transport for London and large engineering consultancies. Georgia holds BPlan(Hons) and IRM International Certificate in Risk Management.
Risk and Planning Engineer
Dan
Dan has an MSc in Applied Mathematics, with a focus on statistics and programming. His previous roles include data scientist at a medical device company, writing algorithms to translate sensor data into clinical results.
Data Scientist
Dev
Dev worked at Shell for 9 years as a project manager on Flagship Capital Projects, before authoring the UK’s National Artificial Intelligence Strategy. He also holds an MEng in Aerospace Engineering and has visited all 7 continents.
Co-Founder & CEO
Sophie
Sophie has a background in Property and Administration. She holds a Diploma from Quest Professional Business and Secretarial College in London.
Executive Assistant
Liam
Liam holds a BSc in Engineering and a BSc in Computer and Mathematical Sciences. He worked as a software engineer for a mainframe software house, and completed an MSc in Computer Science at the University of Oxford last year.
Software Engineer

Our Partners

Google
SNC Lavalin
Laing O'rourke
Suffolk
Shell
Exxon Mobil
JGC
BESIX
Costain
Network Rail
MACE
Deutsche Bahn
Chiyoda Corporation
ARUP
HS2
Tideway
BAM
Skanska
Vinci
Kier
"nPlan's revolutionary machine learning approach to learning from data on past projects is the biggest breakthrough in scheduling in decades."
Professor Yael Grushka-Cockayne, Harvard Business School

Our Accolades

Forbes
DigitalTop50
NCE100
TechFest
The Europas
CNAwards

Our Investors

Local Globe
FounderCollective
Pentech
ef
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+44 (0) 208 051 4542
hello@nplan.io
133 Whitechapel High Street, London, E1 7PT