Optimization in Buildings is Complex & Cumbersome
Typical process for managing building operations is very complex and non-linear, with many stakeholders in the mix, resulting in unintended outcome, such as inefficiency, high costs, and high emissions
BEFORE AMBIENT

Unleash the potential of Cyber-Physical Systems for your digital transformation

Industrial
Manufacturing
R&D
Life Sciences and BioTech

Retail
Malls
Shopping Centres
Grocery Stores

Offices
High Rise
Low / Mid Rise
Data Centres

Transportation & Logistics
Public Transit
Airports
Warehouses and DCs
APPLICATIONS
Ambient can help your business reach new heights across industries
Streamlined user experience, in simple steps
With Ambient’s patent-pending technology, we provide data-driven insights, recommendations and improvements in operational efficiency and cost - all through a streamlined user experience
AFTER AMBIENT
Hard to Find Data Scientists for Cyber-Physical Systems
Niche Requirements
Shortage of trained and experienced data scientists who can optimize multiple intelligent systems
Competitive Landscape
Only around 2k data scientists in Singapore and around 50k in US, with majority working for tech giants
Varied Skill Set
Data Science Teams can require over 10 diverse and highly skilled roles, making them too costly for most organizations
UNDERLYING CHALLENGE
15-30%
Energy Savings
20-40%
Reduction in Carbon Emissions
10-20%
Increase in Building Equipment Uptime
3X
Time Savings
Applied AI for Cyber-Physical Systems
On-demand Subscription
Affordable Monthly Payment
Specialized for your Business Needs
SOLUTION

Data Driven Automation built on the latest advances in science and machine learning
Flexible On-demand Subscription
No more onboarding, training and manpower reliance. Fast up-time and results through Ambient’s subscription service
Simple and Affordable Pricing Plans
No more reliance on expensive consultants or in-house teams. One platform powered for all your data science use cases
Specialized AI Model Customization
Reach your business goals across energy efficiency, environment, and compliance with Ambient’s state of the art AI models