Manageable and Secure AI
Lightweight deployment in customer environment, ensures data control and privacy, mitigating risks associated with sensitive information exposure and adherence to internal policies and regulatory standards
Manageable and Secure Enterprise AI
Faster, Smarter and Better Releases with SASVA-Powered Engineering
“Transformational innovations can have a significant impact on an organization’s business models, driving new strategies and tactics. AI-augmented and ML-powered software engineering is changing the way software is being created, tested and operated, and the need for responsible AI is growing.”
SASVA™ is a manageable and secure AI that solves complex and specialized use cases in the enterprise setting. It revolutionizes software engineering, with an AI-powered platform leveraging Large Language Models and Machine Learning. With its comprehensive knowledge base and continuous learning, SASVA™ clones institutional knowledge and neutralizes domain and technology expertise.
SASVA™, when embedded into software engineering, drives enhanced efficiency and agility for organizations across industries by automating and optimizing software engineering lifecycle while ensuring security, privacy and compliance. It seamlessly integrates with enterprise tools, offering a structured and cohesive project workflow that spans from project planning to generation of automated code and review requests, validation, release management, and more.
SASVA™ prevents technical debt in new development and minimizes accumulation of debt in mid- to late-stage software. It operates seamlessly at an enterprise scale handling complex scenarios in software sustenance and specialized industries.
Our SASVA™ Offerings
SASVA™ provides offerings across all phases of software engineering lifecycle
Multidimensional Knowledge Base
With continuous learning from vast repositories and documents, SASVA™ builds a robust repository providing insights, recommendations and code generation leveraging intelligence from the knowledge base.
Training Models Specialized for Complex Use Cases
SASVA™ continuously evolves private fine-tuned Large and Small Language Models, base LLMs, and ML models on complex enterprise use cases for better management, inferencing response, performance and cost.
Theme Based Releases
Integrated with enterprise tools to adopt a holistic approach for planning and execution of releases based on various themes – security, performance, upgrades, features, defects, enhancements and more.
Tech and Security Debt Reduction
SASVA™ addresses debt through ongoing learning, high-quality code generation with improved security and performance, stack upgrades and additional measures.
Differentiators
SASVA™ addresses complex use cases for enterprises and specialized industries with unique differentiators:
Neutralizing Domain and Tech Dependency
Smart knowledge base built with ongoing learning, delivering insights on complex code, nth level inter-dependencies, compatibilities and more to mitigate dependency on specific domain or technology skills
Quality and Integrity
SASVA™ ensures the highest standards of quality, robustness and authenticity by training on customers own datasets, source code and documents, eliminating bias and hallucination
Accuracy, Contextuality, Hyperpersonalization
SASVA™ is trained on multiple sources such as code, document repositories, project management, ticketing tools, and other source-of-truth external systems to deliver accurate, contextual and hyper-personalized outcomes
Why Persistent?
Our company’s beginnings are rooted in data systems. With more than 30 years of enterprise experience, we are the ideal partner for companies looking to utilize AI through connections to a variety of enterprise data sets for scalable solutions that adhere to all security, privacy, and governance requirements.
Software is core to our business and Generative AI allows us to extend our unmatched software engineering leadership into new Generative AI engagements. We work with clients across industries to use the technology to turbocharge software development, employee and customer services, and workplace processes.
We’re ambitious about the efficiencies, outcomes and value that Generative AI can generate for clients. It’s reflected in our ongoing IP investments, our extensive staff training on partner platforms, and our suite of Generative AI accelerators to improve workforce productivity, streamline app modernization, and accelerate software engineering.
We work with premier brands across financial services, life sciences, and software. Working with our clients, we apply our industry expertise to develop Generative AI use cases to harness new data insights, create industry buyer personas, test new models, and provide employee and customer-facing digital agents.
Our AI solutions are backed by 16,000+ AI-trained technical and sales professionals. We’re recognized as a Leader in Everest Group’s recent Talent Readiness for Next-Generation IT Services PEAK Matrix® report for the skills of our global team and our comprehensive learning and development programs.
We are a partnership-driven company with key ecosystem partners across a variety of AI platforms and industries. Our proactive approach and years of deep collaboration with global AI leaders such as AWS, Google, IBM, Microsoft, and Salesforce, as well as promising start-ups, enable us to provide game-changing AI-powered solutions for our clients.
News & Insights
Access our latest thought leadership and updates on SASVA™
Blog
Ensuring Security and Authenticity to enable Enterprise Adoption of GenAI in Software Engineering
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Gartner, Hype Cycle for Software Engineering, 2023, Dave Micko, Joachim Herschmann, Mark O’Neill, 1 August 2023.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
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