Reimagine your
business with data
ROI from AI/ML
enterprise data fabric
Combining data engineering and AI to deliver higher ROI
Sigmoid integrates data engineering, data science, and analytics to help enterprises gain a competitive edge through improved decision-making.
What we do

Modernize your data fabric and build a robust analytics roadmap to accelerate business initiatives.

Improve efficiency of data pipelines on cloud and operationalize AI platforms to drive business outcomes.

Proven AI consulting and production-level ML services to deliver high success rate on your analytics initiatives.
Accelerators
Speed up time to insights and enhance decision-making with pre-built analytics assets and proprietary frameworks using our data engineering and AI/ML expertise.
Get faster insights
Awards and recognition





Customer success stories
View all success stories
98% accuracy in identifying products using ML-based image processing for a F100 CPG company
- Improved consumer intelligence for marketing campaigns
- 96% precision in detecting in-house and competing brands
- Detected 25+ object types in personal and beauty category

Produced 10x faster insights with data migration from on-prem systems to Snowflake for a leading fintech company
- Enhanced data pipelines efficiency by 10X
- Enabled real-time query resolution
- 90% cost reduction in complex analytical queries

Built a centralized AI deployment platform for a CPG company that ensured 7x faster deployment of ML models across the globe
- 85% reduction in time to scale ML models
- 2x savings in model run costs
- Enabled better collaboration on a single platform

10X faster insights from IoT sensors with automated data pipelines for an industrial tools manufacturer
- 10X improvement in dashboard query performance
- Reduced dashboard data update time from 3 days to <1 hour
- Minimized new feature deployment costs
Reckitt's cloud optimization journey with Sigmoid
“Sigmoid has been a vital part of our success story. They are highly skilled and knowledgeable in managing data in multi-cloud environments and with their expertise we have been able to achieve cloud cost visibility at an appropriate level across our cloud infrastructure.”
Aritro Ghosh
IT&D Senior Data Engineering Manager, Reckitt