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service
Data quality: Editorially Reviewed
Google Cloud
Software development
Language (LLM / NLP)
Financial services
Process automation
Data engineering & preparation
AI strategy & roadmap consulting
Managed AI operations
Insurance
Implementation & integration
Mid-market
Predictive / classical ML
Business intelligence
Healthcare & life sciences
Computer vision
ML lifecycle & data
Manufacturing
Managed service (recurring)
Amazon Web Services
Azure
Retail & e-commerce
Forecasting
Enterprise
Fixed-price project
Time & materials

ScienceSoft

Implementation & integration

Offered by ScienceSoft USA Corporation

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Overview

ScienceSoft USA Corporation is a Texas-headquartered IT services company with 37 years of operation and more than 750 IT professionals. Its AI offering sits alongside analytics, machine learning, custom software, IT consulting, managed services and cybersecurity. Healthcare, insurance and investment are core sectors, with additional work in banking, retail, logistics and telecom. It lists Microsoft, AWS, Google Cloud, ServiceNow and Salesforce partnerships and offers fixed-price, time-and-material, consumption-based and subscription models.

Pricing model
On request
Regions served
North America, Global
Categories
Google Cloud, Software development, Language (LLM / NLP), Financial services, Process automation, Data engineering & preparation, AI strategy & roadmap consulting, Managed AI operations, Insurance, Implementation & integration, Mid-market, Predictive / classical ML, Business intelligence, Healthcare & life sciences, Computer vision, ML lifecycle & data, Manufacturing, Managed service (recurring), Amazon Web Services, Azure, Retail & e-commerce, Forecasting, Enterprise, Fixed-price project, Time & materials
Last updated
7 October 2026
Published
7 October 2026

Use cases

ML lifecycle & data
Business intelligence
Forecasting
Process automation
Software development

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
scnsoft.com
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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