P3 / About
Engineer
What's Next
We don’t follow the playbook — we rewrite it. P3 turns bold ideas into real engineering, helping the world’s leading industries build what comes next.
From Ambition to Production.
As P3, we are an independent technology consultancy with deep capabilities across software, engineering, artificial intelligence, and advisory — founded in 1996 as a spin-off of the Fraunhofer Institute for Production Technology (IPT).
We are engineers, data scientists, and consultants who turn AI ambition into systems that run in production.
Founded in Aachen as a spin-off of the Fraunhofer Institute for Production Technology (IPT).
office locations across the globe, keeping our experts close to clients in every key market.
specialized subsidiaries that combine deep local expertise with the strength of one global group.
dedicated employees who turn technology and ideas into real value for our customers.
We don't sell decks. We ship working systems
From agentic AI and MLOps platforms to cloud architecture and battery test rigs, we build the systems we recommend. Our consultants are engineers and data scientists; our engineers consult on AI strategy as readily as on system architecture. The bridge between AI ambition and AI in production is not a hand-off — it’s the same conversation, run by P3 re:invent and every engineering team behind it.
How we operate.
Build, don't deck
Every engagement ends with something that runs — a pipeline in production, an audit closed, a platform deployed. We measure ourselves on shipped artefacts, not on consulting hours billed.
Production-grade by default
CI/CD, observability, and security reviews are not optional add-ons but defaults from sprint one.
Owned outcomes
P3 stays accountable until value is realized — not until the workshop deck is handed over.
Working software is the unit of progress
Borrowed from the Agile Manifesto and applied across every discipline we touch.
Engineers who consult, consultants who engineer
We don’t split strategy from delivery into separate teams that hand off and disappear. The people who scope your AI use case are the same people who put it into production.
One team, one accountability line
The consultant who scopes your AI roadmap is reachable through MLOps and delivery, not rotated off after the kick-off.
Technical credibility from day one
AI and automation recommendations are reviewed by the engineers who would have to build, evaluate, and operate them.
Faster decisions
Fewer hand-offs between AI strategy and code mean fewer translation errors and shorter cycles from prototype to production.
Interdisciplinary by construction
P3’s structure puts industries, competencies, and products on equal footing — and P3 re:invent, our dedicated AI unit, sits at the center, not on the side.
Eight industries, eleven competencies
Automotive to public sector, software to AI to project management — combined as needed, not siloed by default.
P3 re:invent
A dedicated AI unit covering the full adoption lifecycle: strategy, data platforms, workflow automation, AI orchestration, generative and agentic AI, and responsible AI governance.
Cross-domain teams
Engagements routinely pull data scientists, ML engineers, and domain consultants onto the same project.
Open-source mindset, enterprise-grade delivery
We build in the open where it helps the client and lock down what needs to be locked down — AI governance, security, and compliance are never an afterthought
Transparent engineering
Model choices, architecture trade-offs, and technical debt are documented and visible, not buried in a backlog.
Responsible AI by default
EU AI Act readiness, model risk inventories, and human oversight are built into AI delivery, not bolted on afterward.
No vendor lock-in by design
We build for your stack and your long-term ownership — your models, your data, your AI estate.
Global teams, local depth
Forty-eight offices on five continents mean we deliver close to where the work happens — without losing the coordination of one global organization.
Local delivery, global standards
Regional teams apply the same delivery model worldwide, with on-the-ground market and regulatory knowledge.
Around-the-clock coverage
Distributed teams support follow-the-sun delivery and managed-service operations.
One P3, everywhere
A consultant in Aachen and an engineer in Bangalore work from the same playbook.
What working with P3 looks like.
Four practical signals you can observe within the first weeks of any engagement.
Code on Day One
No three-week ramp-up. Our seniors come pre-loaded with reference architectures, codebases, and benchmarks from prior engagements — and start contributing pull requests in week one.
Numbers, Not Vibes
Every recommendation we ship is backed by a measurement — from charging curves to throughput tests to model evaluation runs. If we can’t measure it, we don’t claim it.
Your Stack, Not Ours
AWS or Azure, Databricks or Snowflake, your LLM provider or ours — we adapt to your tech and AI tooling choices instead of pushing our preferred vendor list. Architecture decisions stay yours.
Knowledge Stays
Every project includes hand-off, documentation, and training built into the timeline. P3 leaves your team more capable than it found them — measured, not promised.
From our engineering desks.
Contact
Questions about P3, our work, or a possible collaboration? Curious who we are or what we do? Whatever’s on your mind, we’re happy to hear from you. Just reach out — we’ll point you to the right person and take it from there. Open, honest, and on equal terms.
