Applied AI & Data
Science Services

From Prediction To Impact

Industry Applications

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Fintech & Banking

  • Credit risk and propensity models to predict default and personalize credit offerings.
  • Real-time fraud detection using anomaly models across digital and offline channels.
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Retail & Consumer Tech

  • Demand forecasting and price optimization models based on elasticity and market trends.
  • CLTV and churn models to identify high-value users and drive retention strategies.
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EdTech & Online Learning

  • Student success prediction models to flag dropouts and improve learning engagement.
  • Adaptive learning models to personalize content and pace based on learner profiles.
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Healthcare & Life Sciences

  • NLP and vision-based models to extract insights from clinical notes, images, and lab data.
  • Predictive models to assess treatment efficacy and patient trial eligibility.

Our Core Services

NLP & Text Analytics
Extract Insights From
Unstructured Text
Machine Learning
Model Development
Custom ML Models For
Business Problems
Feature Engineering
& Data Prep
Pipelines
Convert Raw Data Into ML-
Ready Yields
Computer Vision &
Image Intelligence
AI-Driven Image
Recognition At Scale
Custom AI
Accelerators
Pre-Built Models For Faster
Adoption
AI Model Evaluation,
Monitoring &
Retraining
Track, Optimize, And
Refresh AI Models

WHY IT
MATTERS

Domain-Specific AI,

not one-size-fits-all

Faster Time to Value

with prebuilt components

Explainable ML,

trusted by business

Scalable, maintainable

models

KPI-Aligned Insights

REAL RESULTS

Retrained machine ML models that convert Electronic Health Records into ICD and CPT codes, addressing data drift and enhancing accuracy and confidence scores

Deployed graph-based AI to detect hidden fraud patterns and complex relationships in financial transactions using Neo4j.

Platform Advantage

Automind powers no-code ML:

  • Smart feature creation
  • Auto model selection
  • Built-in SHAP explainability
Flow Diagram

TECH STACK

Python | scikit-learn | TensorFlow | PyTorch | Hugging Face | spaCy | OpenCV | MLflow | Vertex AI | Databricks | Snowflake |
Python | scikit-learn | TensorFlow | PyTorch | Hugging Face | spaCy | OpenCV | MLflow | Vertex AI | Databricks | Snowflake |
Python | scikit-learn | TensorFlow | PyTorch | Hugging Face | spaCy | OpenCV | MLflow | Vertex AI | Databricks | Snowflake |
Python | scikit-learn | TensorFlow | PyTorch | Hugging Face | spaCy | OpenCV | MLflow | Vertex AI | Databricks | Snowflake |

WHY INTELSTACK?

40+ AI engineers

Use-case accelerators across 4+ verticals

End-to-end teams from data to deployment

Joint R&D with KrrimalQ

Case Studies & Resources

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Ready To Launch AI That Works?

Let's Turn Your Data Into Business Results.

Key Clients

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