Simform Recognized in Everest Group’s Software Product Engineering Services PEAK Matrix® Assessment 2026

ORLANDO, Fla.: #AIinSDLC--Everest Group has recognized Simform as an Aspirant in the Software Product Engineering Services PEAK Matrix® Assessment 2026 - Global and EMEA.

The recognition highlights Simform’s capabilities in helping organizations design, build, and scale modern digital products through product engineering expertise, cloud platforms, AI-driven engineering practices, and reusable accelerators.

As enterprises modernize digital platforms and embed AI across products and development workflows, they are seeking partners that accelerate innovation while maintaining quality, governance, and cost discipline. Simform’s inclusion reflects its role as a strategic engineering partner for enterprises, digital-native businesses, and ISVs building scalable products and platforms.

Changing Expectations for Software Product Engineering Partners

Software product engineering is entering a new phase as AI becomes embedded across both products and the software development lifecycle (SDLC).

Organizations are modernizing legacy platforms, adopting microservices architectures, and applying AI-assisted development practices to accelerate releases and improve code quality.

These shifts are driving demand for partners that combine product engineering depth, reusable accelerators, scalable delivery models, and commercial accountability.

Simform’s inclusion in Everest Group’s Software Product Engineering Services PEAK Matrix® reflects the company’s growing momentum in helping organizations modernize platforms, strengthen engineering productivity, and integrate AI-enabled capabilities across complex software ecosystems.

AI-Powered Engineering Practices Across the SDLC

To support this shift, Simform has developed an AI-native product engineering model combining cross-functional engineering pods, reusable accelerators, and AI-assisted development practices.

At the center of this model is PexAI, Simform’s flagship product engineering excellence framework. PexAI combines reusable blueprints, engineering objective frameworks, and modernization accelerators that help teams standardize architecture, streamline workflows, and scale delivery.

The framework supports modernization initiatives such as microservices architecture, cloud re-platforming, and UI transformation while enabling platform engineering through modular architectures, API-first design, AI/ML capabilities, Agentic AI-features, and data integration.

Simform applies AI across the SDLC through PexAI-driven workflows that automate tech-stack specific task/workflow based code generation, pull request reviews, infrastructure-as-code pipelines, and shift-left testing and security. This enables AI-native engineers to combine human expertise with governed AI-assisted workflows that improve productivity while maintaining reliability and compliance.

Supporting this model are proprietary accelerators such as NeuVantage, which helps teams analyze and modernize legacy applications faster, CodeTools, which enables GitHub Copilot templates, workflow agents, and automation patterns, and ThoughtMesh, which supports enterprise-grade Agentic AI use cases, including corrective RAG and agentic architectures.

Together, these frameworks help teams reduce routine development work, improve code quality, and focus on product strategy and architecture.

Moving from Capacity-Based Engineering to Outcome-Led Delivery

As software platforms become central to enterprise growth, organizations increasingly expect partners to align delivery with measurable outcomes rather than purely capacity-based engagement models.

Simform’s co-engineering approach supports this shift by embedding engineering teams within client product organizations and aligning delivery around platform modernization milestones, engineering productivity improvements, and product innovation goals. Simform is also evolving toward outcome-based commercial models where pricing is increasingly aligned with clearly defined roadmap milestones and product outcomes. For example, modernization engagements may be tied to measurable platform improvements such as successful microservices migration, release cycle acceleration, or performance gains, while product engineering programs may link commercial models to feature delivery velocity, platform stability, or engineering productivity improvements. This approach helps clients align engineering investment with tangible progress while maintaining transparency and accountability across long-running product initiatives.

“We believe software product engineering should ultimately be measured by outcomes in some ways and how effectively teams can modernize platforms, accelerate innovation, and deliver lasting business value,” said Prayaag Kasundra, CEO of Simform.

“Our PexAI framework and co-engineering delivery model help organizations harness AI across the software development lifecycle while aligning engineering execution with meaningful product and business outcomes. This recognition from Everest Group reinforces the investments we have made in building scalable engineering capabilities that enable faster innovation and long-term value for our clients.”

Transforming and Scaling Platforms with Intelligent Automation

The role of AI in platform engineering is undergoing a fundamental shift - moving from isolated automation scripts to intelligent, agentic workflows that reshape how software products are designed, built, and scaled. It is transforming the end-to-end software delivery lifecycle - from predictive resource optimization and automated security remediation to self-healing observability and CI/CD pipelines. Companies that can operationalize these capabilities at scale are pulling ahead.

"Our PexAI Framework and AI-native practices help ISVs, Digital Native, and forward-looking enterprises to modernize platforms, ship faster, improve software quality, and reduce technical debt. We have come up with Enablement offerings to enable platform and development teams with AI-native practices too," said Hiren Dhaduk, CTO of Simform.

Building AI-Native GCC and CoE

Having built excellent AI-Native engineering practices, Simform is helping software engineering teams of ISVs and enterprises adopt these advanced and mature Agentic SDLC practices to accelerate roadmaps. Simform is also partnering with customers to launch AI-Native GCC in India to double down on the value realization of engineering investments.

In addition to enabling these teams with AI-native practices, Simform helps define the operating model, governance approach, and engineering workflows needed to make GCCs and CoEs productive from the start. By combining co-engineering expertise with frameworks such as PexAI and AI-assisted SDLC practices, Simform helps organizations scale engineering capacity, improve software quality, and turn GCCs into long-term innovation engines rather than delivery-only units.

To learn more about what this shift in software product engineering means for enterprise customers, read the blog published alongside this announcement.

About Simform

Simform is a digital engineering company specializing in Cloud, Data, AI, and Experience Engineering. With deep expertise across Microsoft Azure, Simform helps high-growth ISVs and tech-enabled enterprises build scalable, future-ready digital products and platforms through its co-engineering delivery model. With a rich heritage in Microsoft technologies, Simform is recognized as a Solution Partner for Digital and App Innovation, Data & AI, Infrastructure and Security. Our team boasts 340+ Azure-certified infrastructure, cloud-native applications, data, AI and security engineers. With more than 15 years of experience, Simform delivers solutions for high-tech, fintech, healthcare & life sciences, supply chain & logistics, retail & ecommerce, and professional services industries.

Fonte: Business Wire