Supercharged Product Development

& Quality Engineering

500%

revenue growth since inception

98%

repeat customers

person years of delivery experience

Trivecta is a leading information technology (IT) solutions and services provider applying innovations to transform customers’ business. We harness technology to provide products and solutions to our customers and enable them to stay ahead in their business. 

Product Engineering

– Rapid time to market

– Cost leadership & rapid ROI

– Increased productivity

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Digital Transformation

– Innovation and Value

– Cost Leadership

– Operational Efficiency

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Cloud Services

– Cost Transperancy​

– Lower Infrastructural Costs

– Infrastructure Agilility

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Quality Engineering

– Rapid Scalability

– Faster Time to market

– Enhanced Customer Experience

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Digital Transformation for SMBs

– Licensing & Consulting

– Implementation & Customization

– Integration & Support

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From artificial intelligence and machine learning to blockchain and cloud computing, we keep you up to date with the latest trends, breakthroughs, and industry news that shape our digital world.

  • What are the most challenging types of testing to automate?

    What are the most challenging types of testing to automate?

    Test Automation is an essential component of the Software Development Lifecycle (SDLC). However, not all types of testing are created equal when it comes to automation. Some testing types pose unique challenges that can make automation particularly difficult. 1,157 QA Engineers, Managers and Leaders were asked this question: “What type of testing do you find…

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  • AI-Driven Software Testing – Minimizing False Positives and False Negatives

    AI-Driven Software Testing – Minimizing False Positives and False Negatives

    The major challenge in AI-driven software testing is achieving high accuracy. Despite advanced algorithms, QA teams typically achieve on an average 90% accuracy in identifying true positives. Here are three solutions to minimize false positives and false negatives when utilizing AI in software testing: 1. Training Data Quality and Diversity The quality and diversity of…

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  • Essential AI Tools to Overcome Data Challenges in Software Testing

    Essential AI Tools to Overcome Data Challenges in Software Testing

    In the previous article, we discussed the critical role of data in AI-driven software testing and highlighted the top 3 challenges: Addressing these challenges is essential for maximizing the effectiveness of AI in identifying defects and optimizing test strategies. In this article, we will explore tools that can help overcome these data challenges. Addressing Challenge…

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