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organizations.
AI assistant using
LLM model for a
Fortune 500
company
The model estimates relative impact of various digital marketing channel for each customer signups. MTA scores are used as a metric to quickly (e.g. weekly) identify changes in performance and optimize campaigns on an ongoing basis.
Personalized and
adaptive
learning
with AI agent for a
Big Tech
giant
A Reinforcement learning model that learns adaptive course content delivery policy based on learners’ interaction.
Multi Touch
Attribution (MTA)
model for a global
tech company
The model estimates relative impact of various digital marketing channel for each customer signups. MTA scores are used as a metric to quickly (e.g. weekly) identify changes in performance and optimize campaigns on an ongoing basis.
Personalized
product & service recommendation
for a cloud company
This ML algorithm analyzes a wide array of customer attributes to paint a robust picture of each customer’s preferences. When these attributes indicate interest in the target service, the model produces a recommendation.
Lead scoring model for global tech company
Lead Scoring model ranks marketing leads based on their probability of engagement. The model was deployed for North America, Europe (few region) and Middle East region of AWS digital marketing team. For email campaigns, this model generated 3-times higher engagement (click to open rate) than baseline.
Churn management model
The model predicts churn probability of customers and recommends personalized intervention to retain customer.