Why AI Fails at Scale
Strategizing AI Is Complex
Building the systems to support it is even harder.
AI initiatives stuck in proof-of-concept
Multiple pilots, no path to production
Fragile AI stacks draining engineering time
Legacy architecture blocking AI-first execution
Disconnected Pilots
Fragile AI Stack
Proof-of-Concept Traps
Legacy Architecture
No Production Path
Tool Sprawl
Engineering Bottlenecks
Operational Blind Spots
6–9
Months in Pilot
2x
Cost Overruns
The re:cinq Method
Become a True AI Native Organization
AI demos are easy. Running them in production isn’t.
We build the engineering foundations to move AI from demo to production. We focus on the fundamentals—clean data, secure architecture, and scale—to turn experiments into reliable business tools.
Beyond code, we modernize your internal workflows and governance. We give your team the tools and the mindset needed to own and scale your AI Native evolution.
Our Work
Proven Impact & Results
“From tech chaos to a single, scalable data platform”
We architected and built a unified, AI Native data platform to consolidate a complex, multi-cloud tech stack. This new platform provides a single source of truth for vessel performance and emissions data.
3x reduction in cloud providers
60% faster data pipeline processing
Unified platform for all data & AI
100% stakeholder data transparency
“AI training turned 1.5 stagnant years into a 3-day launch.”
We delivered a multi-week AI Native bootcamp for Odevo’s engineering department, embedding LLM-augmented coding into production workflows. The training unblocked a complex system rewrite and standardized AI patterns across the organization, moving the team from skepticism to active technical adoption at scale.
Redefined AI usage for scaled organizations.
Flattened the department-wide “scared curve.”
Standardized AI Native patterns for production.
Established high technical boldness to try.
“A clear roadmap to cut 40% carbon and 20% cloud costs.”
We conducted a Sustainable IT audit for a leading European energy company. Our experts analyzed their cloud workloads, identified key inefficiencies, and delivered a high-impact roadmap to reduce their carbon footprint.
40% potential carbon emission reduction
20% projected cloud cost savings
Roadmap for sustainable architecture
Identified all “zombie” workloads
What We Do
Our Core Services
AI Readiness
A hands-on technical engagement that prepares your systems for real AI implementation under production load. We optimize architecture and infrastructure, fix legacy bottlenecks, and deliver a clear 90-day plan with prioritized actions and costs, often reducing operational overhead by 30-50% in the process.
Trusted by dozens of technology leaders from companies like
How It Works
Our Pragmatic Process for Success
A focused 12-week engagement from first conversation to a production system your teams can own
Week 1
01
Discovery Call
Align on goals, constraints, and success criteria before any investment.
Week 2-3
02
Technical Deep-Dive
Analyze systems, data, and architecture to define a clear production path.
Week 4-6
03
Working Prototype
Build a prototype with real data to validate value and approach.
Week 8-12
04
Deployment & Enablement
Deploy a production system teams can operate, maintain, and scale.
Michael Müller
CTO, re:cinq
“We undersell and overdeliver.”
We don't make promises we can't keep. Our reputation is built on production systems that still work twelve months later and clients who refer to their colleagues because we actually solved their problems.
Michael Müller
Testimonials
Our Reputation is Built on Your Results.
The re:5 platform helped Ole Larsen, a Danish logistics company, to reduce and report emissions from its 200-truck fleet.
Søren Printz Larsen
CEO, Ole Larsen
re:cinq's talk at Kubecon sparked our green tech initiative. re:cinq's expertise led to actionable recommendations, potentially cutting our carbon emissions by 40%!
Sietse Bruinsma
Manager Digital Platforms & Cybersecurity - Vandebron
re:cinq made me rethink how to use AI in scaled organisations.
Tomasz Maj
Head of Product Ops & Development, Odevo
“re:cinq took our fragmented tech stack, three cloud providers, mixed databases, legacy systems and turned it into a modern platform we can scale. The consolidation will allow us to scale with a small team while driving real customer value.
Markus Brendel
COO - seabo
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Client Satisfaction
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Projects Completed
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Years of Experience
