Corporate Solutions
Building data driven strategies
Reboot Your Business
90% of the data in the world today was created in the last two years, and harnessing that data creates lasting competitive advantages. That is why we exist- to transform data into business strategy.
Reboot specializes in Artifical Intelligence and Machine Learning development, deployment, and training:
- Tailored AI Solutions
- More than a decade of experience building enterprise solutions
- Multinational corporate clients
- Business value over theory
- Enterprise Scale Deployment
- Amazon Network Partner
- Cloud architecture design
- Legacy system integration
- Agile Development
- Certified Agile experts
- Deliver Value from Day 1
- Reduced project risk with rapid delivery
- Employee & Leadership Training
- Case-studies and interactive excercises
- Hands-on technical training
- Executive level AI & ML training
Smarter Real Estate Analytics | Yondir
Reboot.ai has launched Proptech (property tech) platform Yondir. Yondir currently aggregates over 100,000 Hong Kong rental listings every day from multiple sources, standardizes the data, and uses machine learning to value apartments, detect and remove fake listings, consolidate duplicates, and identify apartment features from images (such as hardwood floors or natural lighting).
Try out the MVP here: Yondir
FR8 - AI for Freight Management | Li & Fung Logistics
Challenged by Li & Fung Logistics to build a solution that would enable the business to more accurately forecast freight demand, better plan for it, and increase container utilization rates, we built FR8 with our proven applied AI expertise.
Logistics is an exciting space for AI, and though sometimes the industry has less mature or in-depth data sources than other industries, the Reboot team is accustomed to finding solutions for any kind of data situation. By applying our unique appraoch and propreitary algorithmic solutions we ensured even non-technical business users can make the most of FR8's advanced analytics and intelligence.Borderless Payments with Blockchain & AI | Bank of China
In March 2018 Reboot.AI participated in the BoC Fintech Challenge focusing on a cashless, borderless payment system which allowed for banking the unbanked.
Our multi-layered solution deployed a chatbot user based interface for the end user to transfer money or conduct transactions via natural language. Behind the scenes, we integrated BoC's APIs for BoC-to-BoC client transfers and HK Fast Payment System transfer, but for transfers to non-customers outside HK we built our own SMS linked blockchain.
Recurrent Neural Networks for Stock Price Prediction | PyCon Hong Kong
Reboot.AI was an invited speaker to 2017's open source Python developers event PyCon in Hong Kong. With experience in algorithmic trading for the world's largest hedge fund, Bridgewater Associates, we shared best practices for cleaning and analyzing financial time series data, and built a custom neural network to detect trends and patterns in stock prices.
The audience of experienced developers got a lot from the talk- learning how to use Python specifically to handle the complications of time series, how to understand neural networks- a special kind of machine learning algorithm, how to code neural networks in Python, and how to apply them to building an AI driven trading strategy.
Less technical audience members left the chat with a conceptual understanding of the capabilities and workings of AI concepts, machine learning algorithms, and neural networks in particular. Watch the full recording of the event on Youtube.
Garment Image Recognition | Li & Fung
Li & Fung's open innovation unit invited Reboot to speak at their guest speaker 'Guerilla Sessions' series.
To customize the talk to a familiar industry, we built and demoed the code for an example computer vision AI which could recognize, identify, and classify images of garments.
Non-technical employees, learned first hand how to build their own algorithms, how machine learning and AI systems learn, and how these tools can solve problems in their everyday work.