Practical AI,
engineered into
the systems your
business runs on.

We are an engineering studio for enterprise AI integration, custom software, automation and IT infrastructure. No hype. No demos that don't ship. Just systems that run on Monday morning.

Explore the AI practice ↗ Explore our capabilities
SYSTEM ● NOMINAL EST. APRIL 2025 KORB · GERMANY SIGNAL · STABLE SCROLL ↓
⌗ Manufacturing ◇ Logistics & supply chain ◈ Financial services ⌗ Public sector ◇ Healthcare & life sciences ◈ Energy & utilities ⌗ Pharmaceuticals ◇ Telecommunications ◈ Insurance ⌗ Retail & consumer
/ 01 — CAPABILITIES

Four practices.
One engineering standard.

Index · 04 / 04
Updated · Q2 / 26
01 / 04 · SIGNATURE
New for 2026

AI Integration
& Orchestration

Wire intelligence into the ERPs, CRMs, helpdesks and document flows you already run. Private deployments, evaluation harnesses, real ROI on shipped agents.

Read brief →
02 / 04 · CORE

Custom
Software

Greenfield platforms, internal tools and product engineering. TypeScript, Go, Python, Rust where it earns its keep. Owned, documented, handed over.

Read brief →
03 / 04 · CORE

IT
Infrastructure

On-prem, hybrid and cloud. Kubernetes platforms, observability, identity, network topology, disaster recovery. Boring infrastructure done excellently.

Read brief →
04 / 04 · CORE

Automation
& Integrations

The connective tissue between SAP, Salesforce, NetSuite, ServiceNow, in-house apps — and the new AI layer. Idempotent, observable, durable.

Read brief →
Position · 01 of 01

We don't
sell AI.
We integrate it
into the systems
that actually
run your
business.

AI integration · field manual

The era of "AI demos" is closing. The era of AI in production — connected to ledgers, ticket queues, document stores and approval chains — has begun. That is the work we do, and we do it without theatre.

// engagement shape
scope : "narrow, measurable, owned",
deploy : "private | hybrid | cloud",
eval : "harness before shipping",
handover : "docs · runbook · training",
latency : "≤ 1.2s p95, monitored"
Read the AI engineering brief →
The questions we're built to answer
/ INVOICE OPS

"Can AI auto-classify invoices across multiple entity codes with an audit trail finance actually trusts?"

→ YES. Private LLM in SAP, eval harness first.

/ SUPPORT DESK

"Can a copilot draft replies in our customer voice, with the full ticket context, grounded in our knowledge base?"

→ YES. Grounded retrieval, clean escalation to humans.

/ FIELD TECH

"Can engineers query decades of service manuals from a tablet, offline, behind a firewall?"

→ YES. Local model, on hardware you own.

/ 02 — WHAT WE BUILD

The problems
we're built for.

04 practices
One engineering standard
AI INTEGRATION · MANUFACTURING · FINANCE

A private-LLM agent embedded in SAP, extracting and routing invoices with an audit trail finance trusts.

We design and build document-to-system agents that classify, validate and post structured data into your ERP — with confidence scores, fallback rules and a full audit log. No data leaves your perimeter. The finance team owns the rules.

private
deployment — on your infra
eval
harness before anything ships
6–8 wks
discovery to production
SAP S/4HANA Private LLM On-prem
AI INTEGRATION · DOCUMENT AGENTS
Salesforce Service Cloud Grounded retrieval EU-region only
AI INTEGRATION · SUPPORT COPILOT
AI INTEGRATION · INSURANCE · SUPPORT

A CRM-embedded copilot that drafts replies in your voice, grounded in your knowledge base.

We build helpdesk and CRM-embedded assistants with mandatory citation, clean escalation logic and guardrails your compliance team can review. The model reads from your systems. It does not make things up.

cited
every answer sourced
human
escalation always possible
EU only
data residency enforced

Four practices — one engineering standard across all of them.

All capabilities →
/ 03 — METHOD

How the work
actually gets done.

Phase model · 05
Typical duration · 6–14 wks

We don't begin with a Gantt chart. We begin with a working hypothesis, a measurable outcome, and a 14-day path to proving or killing the idea.

// engagement contract
team : 2 senior eng · 1 lead
cadence : weekly demo · daily standup
visibility: shared GitHub, shared Slack
exit : handover + 8 wk warranty
01 / 05
Discovery — five days

We sit with the people who actually do the work. We map the system, the constraints, the data, the political reality. We produce a one-page diagnosis you could disagree with.

~5 working days
fixed fee
02 / 05
Hypothesis & evaluation harness

Before any model or codebase, we define what success looks like as a number. A test set, a baseline, a target. If we can't measure it, we don't promise it.

2 weeks
locked scope
03 / 05
Build — narrow, end-to-end

One slice of the problem, all the way through to a real user. Architecture decisions logged. Code reviewed. Demos every Friday with the people who will live with it.

4–10 weeks
weekly demos
04 / 05
Production hardening

Observability, fallbacks, evals on real traffic, SLOs, on-call runbooks, security review, data residency. The boring half of the iceberg, treated as the most important.

2–3 weeks
SRE pair-up
05 / 05
Handover — and 8-week warranty

We don't disappear. We document, train, sit beside your team through the first quiet weekends. Eight weeks of warranty included. Anything broken, we fix.

1 week + 8 wks
warranty
Now booking · Q3 2026 · 2 slots

Bring us
the problem
you stopped
believing was
solvable.

Thirty-minute conversation. No deck. We will tell you within the first call whether we are the right team, and whether the problem is even worth solving.

Start a conversation ↗ Read the AI brief
Or write directly · [email protected] · +49 7151 9761587