SOLUTIONS
Kailash Composable AI Platform
Agility and Resilience Solutions
What Kailash can Achieve for Your Business
Data Fabric
Integrate data flows of new and existing devices and systems
Integrate data flows of new and existing devices and systems. Seamless Integration of new and old systems (no matter the language or the programming language).
API Services
Auto-conversion of data, logic, and AI models into modular APIs
Kailash automates the process of converting data, logic, and AI models into modular Application Programming Interfaces (APIs) that integrate new applications with existing software systems.
Composable Interface
UI workflows link modular services into business use cases
Kailash’s composition workbench provides users with a UI workflow, enabling the composition of new and/or enhanced existing capabilities adapted to evolving business requirements.
CI/CD
Built-in testing and auto-deployment to cloud servers
Continuous integration (CI) and deployment (CD) to cloud services ensure the timely delivery of software to users.
Auto-scaling
Automated scaling on Kubernetes
Facilitated by Kubernetes, auto-scaling enables users to scale cloud services up or down automatically based on various situational business needs.
Suitable for All Industries
Based on our actual deployment
Computer Vision
By integrating existing cameras with an AI model for computer vision, Kailash is able to effectively prevent overcrowding with crowd detection and subsequently deploy robots to disperse crowds.
IoT Ecosystem
By creating an AI model that detects vehicle types and licence plate numbers, Kailash set up an IOT Ecosystem that integrates the model with sensors and external systems for the computation of charging and parking fees.
Natural Language
By integrating Twitter feeds and a natural language AI model, Kailash enabled the extraction of train fault locations and types, as well as the dissemination of this information through robot-broadcasted messages on Twitter.
Automation of Schedules
Kailash helps residential building managers automate routine tasks such as tracking maintenance schedules, responding to tenant requests, and monitoring building security. By analysing data from building systems such as HVAC and lighting, Kailash is able to optimise energy usage and reduce costs.
Predictive Maintenance
Through predictive maintenance, Kailash can identify potential equipment failures before they occur, minimising downtime and reducing repair costs. By integrating existing equipment with an AI model, Kailash is able to monitor energy usage and identify opportunities for energy savings.
Personalised Recommendations
By integrating an AI model into a customer relationship management (CRM) solution, AI-powered chatbots can provide personalised recommendations to customers based on their browsing and purchase history, which helps F&B stores and retailers improve customer experiences and increase sales. Kailash can analyse customer data to identify trends and preferences, allowing retailers to tailor their offerings to their target audience. In addition, AI can help stores optimise inventory management and reduce waste by predicting demand and adjusting orders accordingly.
Data-driven Stock Selection and Portfolio Construction
An AI model can analyse a wide range of data sources, such as financial statements, market news, social media, and economic indicators, to identify stocks with high potential for growth or value. Kailash can help investors identify undervalued stocks or stocks with high growth potential that might be overlooked by traditional methods. By integrating an AI model with the financial platform, Kailash can help investors construct diversified portfolios that balance risk and return, automate portfolio rebalancing and even optimise tax efficiency.
Anomaly Detection Across Multiple Data Sources
By analysing multiple data sources, such as financial statements, news articles, and social media sentiment, AI algorithms can identify unusual patterns or events that might affect stock prices. This helps investors make informed decisions about when to buy or sell stocks, and adjust their portfolios accordingly.
IoT Health Tracking
By analysing health data collected from IoT devices, Kailash can detect anomalies and identify patterns that might indicate the presence of a health risk. This can help individuals take proactive steps to address the issue and prevent it from becoming a serious health problem. Kailash can also help healthcare providers monitor patients remotely, reducing the need for in-person visits and improving patient outcomes, and detect changes in patient health and alert healthcare providers if intervention is needed.
