Engineering at AI Speed,
Under Full Guardrails.
Most tools take a prompt and return code. rinf.delivery executes against machine-readable specs, experts supervise every decision, and every line of code traces to a requirement, a benchmark, and a human approval. At the end your team owns the pipeline we design.
We Make New Teams Productive in Two Weeks.
The Industry Norm is Six.
Industry onboarding takes that long because system knowledge lives in people's heads. With rinf.delivery it lives in the spec: build against it in any language, and your team is fully productive within two weeks.
Sovereign Infrastructure.
Any AI Model. One Governed Surface.
rinference runs custom or open-weight models in the EU, on-prem or in the cloud, your data stays yours, and switching models is a configuration change. Every output carries the audit trail the EU will ask for.
The EU's First TÜV Certification for
LLM-Assisted Development.
AI-assisted delivery raises hard questions about security, traceability, and control. An independent auditor already answered them — and the same certified controls run every rinf.delivery engagement.
This Is What Full Control Looks Like
One governed process. Every team. Every model. Every output.
Already Proven in Production.
Backed by the EU's first TÜV certification for LLM-assisted development.
Wherever You Start, Full Control Applies.
New build, legacy estate, or AI already spreading through your teams. There's a governed track for each.
Building something new
New systems built right the first time. Zero technical debt, architecture aligned for AI from day one.
Living with legacy
Governed archaeology on existing systems. Bring structure and visibility to legacy codebases.
Teams already using AI
Inventory, govern, and scale the AI tools your teams already use without stopping progress.
How You Engage
rinf.engineers
Enterprise Pods that include engineers plus a Delivery Lead, pre-trained on rinf.delivery. Contributing from day one, fully productive in two weeks.
Solution Delivery
Legacy transformation, new build, or a new AI product, at a fixed price. AI generates against the spec, experts supervise, you sign off at every phase.
Enablement Track
Fixed fee, defined end. We train your champions and hand over every asset. The capability stays with you.
SECTORS WE SERVE
Where We Work
Engineering services for complex, system-critical enterprises.
AI Capability and Solutions
AI Capability and Solutions
Platform Modernization
Platform Modernization
Mobility Software
Mobility Software
Embedded and Connected Devices
Embedded and Connected Devices
Commerce Engineering
Commerce Engineering
US Nearshore Engineering
US Nearshore Engineering
Let's Define the Spec Together
Connect with our experts to discuss the outcomes you need. We'll explore solutions tailored to your objectives, operations, and industry — anchored to a spec you own.
Start a conversation →Insights
Mixed Reality Use Cases and Challenges in 2026
Mixed Reality Use Cases and Challenges in 2026
Immersive technologies aim to extend our concept of reality through Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR).
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Cloud capacity routing and the untested GDPR risk
Cloud capacity routing and the untested GDPR risk
Every enterprise cloud agreement in use today contains a fundamental and largely unremarked mismatch between standard engineering practice and European regulatory requirements.
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Everyone Wants AI, but Data Orchestration Comes First
Everyone Wants AI, but Data Orchestration Comes First
Enterprise AI conversations often start in the wrong place. They focus on models, talent, or investment levels, as if the remaining challenge were technical sophistication.
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True Real-Time Data: Modernize Your Fintech Data Approach with Log-First Architecture
True Real-Time Data: Modernize Your Fintech Data Approach with Log-First Architecture
In today’s real-time fintech world, the old database-centric model is holding you back.
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Inside rinf.tech’s 8-Year Partnership with Intel on Hardware-Software Integration and Open Source
Inside rinf.tech’s 8-Year Partnership with Intel on Hardware-Software Integration and Open Source
For over 8 years, rinf.tech has partnered with Intel to accelerate open source innovation across cloud, IoT, and edge ecosystems.
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Inside the Engineering Stack - Why Building Smart, Secure Wearables Remains a Hard Engineering Problem
Inside the Engineering Stack - Why Building Smart, Secure Wearables Remains a Hard Engineering Problem
The wearables market is moving from land-grabbing to a steadier, more strategic pace. Smartwatch volumes normalize as pricing pressure persists and replacement cycles lengthen.
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Securing the AIoT Ecosystem: Semiconductor Innovations in Device Management
Securing the AIoT Ecosystem: Semiconductor Innovations in Device Management
Imagine billions of devices making split-second decisions without human intervention, cameras that instantly recognize security threats, industrial sensors that predict equipment failures before they occur, and smart city infrastructure that adapts traffic flow in real-time.
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