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Snippets of our Work.

Creation
Scaling
Consumption
GenAI
Blogs

Scaling

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Data Ingestion for a InsurTech platform

A leading Insurtech company enables richer customer insights on their platform through seamless data ingestion

Data Engineering, Insurance, InsurTech
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Enabling consumption of R&D data

Enabling large scale consumption of R&D data for a pharma major

Data Engineering, Cloud Data Pipelies, Pharma, ETL
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Rebuild a single source of truth table for an Online Travel Aggregator.

Elevating Operational Efficiency by streamlining Data Ingestion for Enhanced Customer Insights and New business Logic Integration

ETL, Data Engineering, Daily Pipeline, Travel Aggregator
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Optimizing Data Ingestion for a leading Supply chain platform.

Streamlining Data Input- Enhancing ingestion for a leading supply chain management platform.

Supply Chain Management, Meta Models, Data Ingestion, Operational Efficiency, Backend Development
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Consumption

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Enabling unified authentication & authorization

Enabling unified authentication & authorization for a leading InsurTech company's product suite

Authentication, Authorization, InsurTech, Multi-tenant
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Modernizing an Insurance Application

Revamping the UI of an Insurance Tech Product (from .NET templates to Multi-Page React Application)

UIModernization, ReactMigration, LegacySystemTransformation, UserExperience, SoftwareDevelopment, TechnologyMigration, InsurTech
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UI-driven generative AI model to elevate seamless data experience for Business Users

Using Generative AI Model to elevate the experience of getting information from a large data

Open AI, Snowflake, LLM, Travel Aggregator
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Tracking sustainability initiatives

An Asset Management App tracks environment vitals for enterprise sustainability and compliance.

Enterprise Application, Climate Change, Asset Management
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Blogs

When Intelligent AI Misunderstands Your Business - And Everything Still Looks Right
When Intelligent AI Misunderstands Your Business - And Everything Still Looks Right

In enterprise AI, the biggest risk isn't a weak model-it’s a 'correct-looking' answer that lacks business context. This post explores why true AI readiness starts with meaning, not just models.

Jeffry James H
5 Mar 2026
Understanding High Return Rates in Auto Parts, and How Data Can Improve Outcomes
Understanding High Return Rates in Auto Parts, and How Data Can Improve Outcomes

High return rates in auto parts are often data problems in disguise. By moving from manual catalogs to predictive models, retailers can turn expensive returns into actionable insights. Discover how operationalizing data protects margins and builds customer trust.

Satheesh Reddy
18 Feb 2026
When AI Owns the Numbers: How ROAS Analytics Teams Can Reinvent Themselves
When AI Owns the Numbers: How ROAS Analytics Teams Can Reinvent Themselves

AI has officially mastered the "What," instantly crunching numbers with a precision no human can match. But it still struggles with the "So What?" and the "What’s Next?" For analytics teams, the automation of math isn't a threat—it’s a promotion. The future isn't in reporting the performance; it’s in interpreting the narrative and ensuring that the AI’s goals actually align with the brand's bottom line

Athiya M
10 Feb 2026
Each Forecast Has a Why: Bringing Explainability to Modern Demand Forecasting
Each Forecast Has a Why: Bringing Explainability to Modern Demand Forecasting

Accurate demand forecasting in consumer electronics is hard, but trusting a 'black box' model is even harder. This post explores how explainability techniques like SHAP turn complex ML predictions into clear business narratives.

Aryan Tiwari
27 Jan 2026
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