Our Solutions

Diagram comparing typical and AIordinate LLM approaches with detailed prompting strategies.

AIO LLM Ops Engine

AIOrdinate LLM Ops Engine enables deployment of LLM applications and products at less than 2% of the cost of the best available individual LLM with higher accuracy and lower latency

LLM Powered Chatbot

AIOrdinate LLM Engine enables deployment of LLM Powered Chatbots at less than 2% of the cost of the best available individual LLM with better accuracy and lower latency.

Flowchart showing AI and CCaaS enhancing contact center operations from conversation to recommendations.

AI Powered CCaaS

Our proprietary solutions to revolutionize customer service and enable CCaaS in matters of weeks rather months

Talks

LLMs: Beyond the Hype - A Practical Journey to Scale

Shashank Shekhar, Founder of AIOrdinate speaking at PyData Global 2023

Measurement of Trust in AI | PyData Global 2022

Shashank Shekhar talking about key constructs of AI Trust and a framework of AI Trust Calculation

Counter Factual Analysis for Explainable AI (XAI)

Shashank Shekhar speaking at PyData Global 2021 about Counter Factual Analysis and its application in Explainable AI

Using Dominance Analysis for accurate feature importance

Shashank Shekhar speaking at PyData Global 2020 about Dominance Analysis Python library and its application in Explainable AI

Leveraging Game Theory for Explainable AI (XAI)

Shashank Shekhar speaking at Plugin 2020 about a game theory based approach for Explainable AI

Knowledge Elicitation & Application

Zabi Ulla, Co-Founder of AI Ordinate speaking at Bayesialab Conference, Durham speaking on knowledge elicitation in causal modeling,

The value of Explainable AI

Zabi Ulla, Co-Founder of AI Ordinate speaking at the Podcast Series of the ADL AI Summit 2022 on the value of Explainable AI (XAI).