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SYSTEMS INTEGRATION & TECHNICAL DELIVERY

Engineering Workflows, HPC & GPU

Make specialist computation usable within enterprise applications. We connect engineering solvers and HPC/GPU workloads with deployment, orchestration, and process tracking, so teams can execute repeatable workflows.

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THE CHALLENGE

Connect the architecture to the work.

The difficult work sits between systems: restricted compute access, unfamiliar protocols, solver-specific behavior, and deployment dependencies. We build representative mocks and integration contracts where access is constrained, then validate against approved interfaces as they become available.

HPC · GPU configuration · Containers · Python · Java · JBPM · Jenkins

WHAT WE DELIVER

Defined work packages.

Engage us directly or as a specialist delivery partner within your larger program.

01

HPC, GPU and solver integration

Configure workload environments and container deployments, define solver adapters, and connect execution protocols, inputs, outputs, and job lifecycle behavior.

02

Engineering recipe orchestration

Implement reusable workflow recipes, process tracking, exception handling, and application interfaces around workflows defined by engineering specialists.

03

Repeatable engineering delivery

Connect application builds and approved compute-side scripts to release pipelines, with representative mocks for development and integration validation.

RELEVANT EXPERIENCE

Practical delivery in complex environments.

Through a prior systems integrator, our technical leadership built the integration foundation for a multiyear aerospace computation program spanning approximately 50 solvers and 500 engineering workflow recipes. Representative protocol-compatible mocks enabled orchestration development when direct HPC access was restricted; reusable recipes made expert-defined processes accessible to junior engineers. P2I’s direct experience also includes GPU configuration and deployment for a high-volume document-processing pipeline.

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WHERE TO START

Scope the next useful step.

Bring a representative solver workflow, the available interfaces, and your access constraints. We can scope an integration template, an orchestration slice, or a repeatable release pipeline.

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OUR DELIVERY APPROACH

Enterprise experience. AI across the SDLC.

We bring innovation to the essential work enterprises depend on: modernizing legacy APIs, replacing manual data transfers, automating tests and releases, and making data reliable. AI-assisted engineering and specification-driven development help us reduce repetitive effort and shorten feedback loops, while experienced engineers own the architecture, domain decisions, and integration.

01

Discover & specify

Combine domain knowledge and stakeholder conversations with AI-assisted analysis. Turn business requirements into clear specifications, acceptance criteria, and implementation tasks.

02

Architect & prove

Map system boundaries, data flows, and constraints. Use coding agents to accelerate prototypes and representative mocks, with experienced architects validating the approach.

03

Build & integrate

Use specification-driven development and coding agents to implement scoped changes, connect enterprise interfaces, and iterate quickly with business users.

04

Test & review

Apply AI-assisted code review, syntax checks, test development, and defect analysis. Engineers validate behavior, performance, and security against the agreed requirements.

05

Release & transition

Automate builds, deployments, versioning, and release notes. Use AI to assist infrastructure code, operational runbooks, troubleshooting guides, and handoff documentation, with engineering review and accountable release decisions.

06

Operate & improve

Use AI to assist troubleshooting, knowledge transfer, and maintenance. Feed operational findings back into specifications and prioritize the next useful improvement.

THE P2I.AI DELIVERY MODEL

Next-generation SI. Practical enterprise value.

Deep experience in aerospace, logistics, enterprise ERP, and export control meets reusable specifications, coding agents, automated checks, and repeatable releases. We focus on the systems your business already relies on: less repetitive engineering effort, faster iterations, and maintainable software, with a named lead accountable for the result.

Senior engineers remain responsible for architecture, review, and delivery quality. We use tools within agreed customer data and access boundaries, and agree productivity measures around delivery lead time, rework, and accepted outcomes.

START A CONVERSATION

Bring us the complexity.
Let’s build a way forward.

Discuss an implementation, a modernization initiative, or a defined work package for your project.

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