Codifying Product Engineering Excellence

PEX.AI is Simform’s proprietary framework that codifies product engineering into a repeatable system. It unites eight engineering objectives with CodeTools automation, proven blueprints, and delivery practices - giving teams a consistent way to modernize, scale, and deliver at speed.

Explore PEX.AI framework

Challenges product teams face

Even the most ambitious teams hit the same roadblocks when engineering software products. PEX.AI is built to address these foundational blockers and accelerate enterprise product engineering.

Engineering rework across projects

Without a shared framework, teams solve the same problems repeatedly, leading to inconsistent practices and wasted effort.

Inconsistent DevOps practices

One product line might adopt CI/CD or shift-left testing, while another struggles with manual releases and patchwork governance.

Slow adoption of AI and automation

Despite intent, AI/ML capabilities often stay outside core product engineering, treated as experiments rather than built-in practices.

Rising technical debt at scale

Each new release adds complexity. Without guardrails, architecture and processes accumulate debt that slows down every future change.

How PEX.AI solves these challenges

PEX.AI brings order to product engineering. Instead of fragmented approaches, it offers a codified system built from four elements:

Automation through CodeTools

At its core, PEX.AI provides automation through CodeTools - prebuilt utilities that generate boilerplate code, pipelines, Infrastructure-as-Code, and even AI-assisted refactoring. This reduces the manual work teams repeat across projects and accelerates discovery-to-delivery cycles.

Engineering Blueprints

Alongside automation, PEX.AI offers engineering blueprints that capture eight critical objectives of product engineering - from modernization and scalable frontends to QA, governance, and platforming. These blueprints act as ready-to-use playbooks, helping teams avoid reinventing the wheel and ensuring consistency across pods and product lines.

Proven frameworks

The system also embeds proven frameworks for reliability, observability, performance, and AI adoption. Rather than relying on ad-hoc methods, teams operate with industry-validated practices built into their workflows, which lowers the risk of downtime, compliance gaps, or scalability bottlenecks.

Delivery practices

Finally, PEX.AI integrates delivery practices refined through Simform’s co-engineering model. With Core-Flexi pods and outcome-driven delivery, organizations get the right expertise at the right time while ensuring that engineering decisions remain tightly aligned to business outcomes.

Benefits of PEX.AI

By adopting PEX.AI, engineering leaders can expect measurable gains across three dimensions:

Engineering outcomes

On the engineering front, PEX.AI accelerates modernization by up to 40% with automation and AI-assisted refactoring, while standardized blueprints improve release velocity and make products AI-ready from the start.

Business outcomes

For the business, it reduces legacy sustenance costs by 30–35%, brings new features to market faster, and lowers risk with built-in reliability and compliance practices that prevent costly outages or failures.

Organizational outcomes

At the organizational level, PEX.AI replaces ad-hoc methods with a consistent playbook. Teams onboard quickly, align around shared practices, and deliver predictably—turning engineering maturity into an organizational strength rather than individual expertise.

See PEX.AI in action.

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