Enterprise AI Modelling
We develop and implement EAI models for critical system to efficiently make decision. Our enterprise AI modelling are tailored to meet global enterprises business critical needs in healthcare, manufacturing, financial services, and telecommunications.
Detection and containment of disease, predictive diagnosis and data insights.
Inventory and operations scheduling optimization, predictive maintenance.
Suspicious activity and fraud prevention, retails transactions monitoring.
Predictive devices, enterprise and operational systems, and sensors failures.
Our open source infrastructure includes multi-agent orchestration via the Model Context Protocol (MCP) standard (clients/servers). That enhances our reasoning models by using multi-step retrieval agents for advanced chain-of-thought reasoning across distributed resources. We provide turnkey solutions to either optimize existing operations or tackle high-impact issues in your organisation within few months. We build reliable, efficient, and cost-effective enterprise-scale AI models ready to drive business value for your organisation. Simply, here are how we generally proceed:
- Conduct couple hours briefing with some of your business decision makers to align our EAI models to your business goals.
- Assess your infrastructure compatibility to our EAI models in couple of days and identify important internal data sources such as sensor networks, operational systems, and others.
- Tailored our EAI models to your high-impact use cases and execute development and production trials for couple of weeks.
- Optimize and scale for couple months our fully tested and functional EAI models then proceed to the deployment in production.
Here are the overview architectures of our enterprise artificial intelligence (EAI) models that fulfill global enterprises business critical needs.
