Data Engineering Services
Laying the Foundation for Smarter Business Decisions with Data Engineering
Our Data Engineering services
Redefined Large-Scale Document Processing for Accurate Insurance Submissions
- 80% improved accuracy in data extraction and validation
- Identifies missing fields and ensures data consistency
- Scalable for handling high-volume submissions
- Improved underwriting decisions with accurate data insights
MLOps-Enhanced Generative AI pipelines to boost underwriting accuracy by 20%
- API-enabled efficient data logging, increasing data accuracy by 10%
- Reduced biased and hallucinated outputs
- Detailed logging & monitoring reduced model errors by 30%
- Enhanced Gen AI pipelines contributed to over $20M in revenue
What our clients say:
Our Data Engineering tech stack
Our Data Engineering Approach: How We Deliver Value
Defining a Scalable Data Strategy
Seamless Data Acquisition & Integration
Structuring & Transforming Data for Insights
Architecting Reliable Data Storage
Enabling AI & Business Intelligence
Deployment, Monitoring & Optimization
Defining a Scalable Data Strategy
Seamless Data Acquisition & Integration
Structuring & Transforming Data for Insights
Architecting Reliable Data Storage
Enabling AI & Business Intelligence
Deployment, Monitoring & Optimization
Leading brands we’ve worked with
Data Engineering Services
How do you ensure the data used for machine learning is of high quality?
Can you help me manage and analyze unstructured data (e.g., text, images, or videos)?
How do you handle data integration from multiple sources?
Will my data systems be ready for AI/ML applications?
How do you ensure data security, especially for sensitive data?
What is the typical timeline for training a machine learning model using the data infrastructure you provide?
Point of view
Windows and Doors Takeoff: How AI Changes the Process
A window and door takeoff starts with a drawing set, but the information needed for it rarely sits in one place. Window marks may appear on elevations, while sizes and types appear in schedules. Plans can show locations, dimensions, and other details that affect the...
CAD to BOM Matching: New CAD Files to Existing Part Library
A new customer CAD file does not always mean a new part. Manufacturers often receive CAD files for components that may already exist in their part library. The challenge is finding that connection. A new file may use a different name, contain limited metadata, or look...
Material Takeoff: What It Is, How It Works, and How AI Can Help
A material takeoff identifies the materials needed for a construction project and determines the quantity of each item. Estimators use this information to prepare accurate cost estimates, bids, and procurement plans. The process starts with construction drawings,...
Data Extraction From Technical Drawings: Manual to AI-Assisted Workflows
Technical drawings already contain the information engineering teams need. Dimensions, tolerances, materials, notes, BOM details, and other requirements are already there. So why do teams still spend time reading drawings and entering that information into...