Gen AI + ML + Analytics =
Many organizations are overwhelmed with data but lack the data scientists needed to extract actionable insights that drive revenues and margins.
Berrijam AI seamlessly combines the state of art in Analytical AI, Machine Learning and Generative AI to give you ...
Actionable
Insights
Berrijam AI’s explainable AI means you can take action with confidence and communicate with clarity.
​
Clear and transparent insights enable swift evidence based decisions that people can trust.
Data Science Acceleration
Berrijam AI, accelerates your data analytics by more than 60x compared to traditional methods.
​
This means, you go from data to insights, faster than ever before.
​
​
​
Versatility in Application
Berrijam AI provides insights tailored to your specific data and priorities, irrespective of industry, function or domain.
Check out our case studies across healthcare, finance, retail, and more.
​
​
.png)
Why Berrijam AI? The math is clear . . .
Conventional Methods
Vs
Analysts with Berrijam AI
Time to insights
~60x faster
1 - 3 Months
​
In a dynamic organization, Data Scientists are often overwhelmed with demand, whilst Data Analysts lack deep ML expertise. Evaluating one factor at a time is slow and doesn’t capture their interactions, which can be more powerful.
​Vs
10 - 30 Minutes
​
With Berrijam AI, business savvy analysts can harness ML-driven insights with just a few clicks, in minutes. Work backwards from outcomes to understand 100s of factors and their interactions.
Trust
Insights you can verify and audit
Low
​
AutoML or proprietary models are often blackbox leaving you uncertain about the decision making process. In business confidence is more than just p-value.
​Vs
High
​
Berrijam AI provides easy to understand insights supported by evidence that can be easily validated by non-data scientists.
Savings
​
Good Data Scientists are expensive! They requires significant investment, including salary, training, and time to onboard with business-specific knowledge.
​Vs​
​
Berrijam AI delivers instant, actionable insights—empowering teams to make data-driven decisions faster, without the overhead of hiring and training specialized talent.
Case Studies
Goal: Understand Heart Attack mortality
​
Why: Accurately triaging patients and reducing time to treatment can save lives.
​
What we found: Berrijam AI's analysis of ICU data on heart failure patients identified Anion Gap and Rel Failure as the top mortality indicators, increasing the mortality risk by ~2x.
​
Industry: ICU | Blood-works | Medical | Research
About the data:​
​
Data sourced from Datadryad
​
Preparation: We added column 'Mortality' based on outcome value.