As the Snowflake CEO right said “there’s no AI strategy without a Data strategy”. As a Top Tier Snowflake partner, we understand your Data Strategy like no other, which also makes us the right partner for your organization wide AI, ML & GenAI strategy.
As a Services Partner, we have implemented a wide variety of AI & ML use cases across industry domains solving numerous business problem and achieving tangible business outcomes. With most Snowflake Advanced certifications in the world, our development teams are top of the line.
Kipi has been on the forefront of the GenAI revolution that has taken the world by storm. We have solved enterprise grade problems for Fortune 500 companies and continue to break the innovation barriers by implementing the latest design patterns and leveraging the most novel LLM models available in the market.
Kipi specializes in operationalizing and scaling up AI, ML & LLM models to match the enterprise dala scale keeping the accuracy, cost & performance in check. Our accelerators monitor the drift & provide a way for users to create & compare ‘What If Scenarios’ assisting with the end to end MLOps or LLMOps lifecycle.
At KPI, we have always believed that to be the best, we must be true Thought Leaders. This is demonstrated very well by our contributions to Snowflake’s Marketplace, where we have more than 20 listings that are available for all Snowflake customers. Our solutions and industry expertise are also demonstrated through joint blogs and webinars with Snowflake and our customers.
As Snowflake launches the latest AI, ML & GenAI features, being an ELITE Snowflake partner gives us a front-row seat to the product roadmap (including Private Preview features) helping us stay ahead of the competition. We partner directly with Snowflake Product Development teams (like Cortex and Snowpark) to try out the latest offerings and work together to successfully implement them for our joint customers
Exploratory Data Analysis – Visually represent the key characteristics of the dataset to understand underlying patterns
Performance Monitoring – Determine the right model fitment using key metrics and check for global explainability
Model & Data Drift – Check for drifts/changes in dataset (features) as well as the model over a period of time and perform an impact analysis
What If Scenario with Explainability – Simulate different business scenarios and check for underlying influencing factors through local explainability
Comparator – Compare the different scenarios and evaluate the best fit for highest business impact
