Quoting Coworker
Customer-facingReceives inquiries, clarifies questions, calculates by material and effort, aligns with engineering — your team approves.
Custom-builtDiscuss use case
Zug, Switzerland
·The new generation of employees is digital.
Custom AI employees for your business that independently handle routine tasks — from quoting to system monitoring.
GDPR-compliantHosted in EU/CHNo US Cloud Act
Inbox — Your Coworkers
AI
Lead Research Coworkerto: you
Lead research machinery DACH — 12 matches
Overnight I screened your three target verticals — machinery, special machinery, tool building — against your filter (50–250 employees, DACH).
12 qualified companies identified. Per lead: company profile, decision makers, current tech stack, pain points from job postings and LinkedIn activity, outreach hook. Full report attached.
Qualified leads12 of 47
Sources analyzed47
Time spent4h 12 min · overnight
Data as of 2026-05-07 · Full report attached
PDF
Lead-Research-Machinery-DACH-2026.pdf3.8 MB
What your coworker did:
- 47 industry sources crawled
- Per-lead deep research
- Job postings + LinkedIn analyzed
- Report (PDF) generated
Reply with a lead number and I'll draft a personalized outreach email for that lead.
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Agents
We build the coworker you're missing.
We build every agent custom for your processes. Whether customer-facing, employee support, or management insights — they integrate into your existing systems and become part of your team.
Reception Coworker
Customer-facingAnswers calls and emails, classifies requests, opens tickets, responds based on priority — day and night.
Custom-builtDiscuss use case
Support Triage Coworker
Customer-facingClassifies incoming support requests, prioritizes by SLA, drafts replies, escalates critical cases.
Custom-builtDiscuss use case
How we build your coworker
From first call to a coworker in production — in 2 to 4 weeks.
We build every coworker custom. With a discovery workshop, custom development on your systems, and continuous coaching in production.
01
Discovery
In a free intro call we identify the two or three use cases with the biggest leverage in your business.
30–60 min · free
02
Workshop & Custom Build
We capture your workflows and systems, then build the coworker specifically for your processes — with integrations to ERP, CRM, and email.
2–4 weeks
03
Go-Live & Optimization
Your coworker runs in production. We stay involved: coaching, documentation, continuous improvement.
Cancel monthly
Background
Three years of building the AI agent ecosystem.
Under the NMKR brand, we built the AI agent infrastructure Masumi and the platform Sokosumi together with Serviceplan Group. As utxo AG, we bring that experience into AI coworkers built for our customers.
Customer Stories
Real SMEs. Real outcomes.
Three coworkers running in production today — built for the specific demands of our customers.
Mechanical engineering · Southern Germany
Southern German Machine Builder
Problem
Manually checking dimensions and DIN standards on technical drawings costs engineers hours — and errors slip through.
Coworker
Coworker reviews incoming technical drawings for dimensional consistency and DIN compliance, flags deviations, documents an audit trail.
Engineers review results instead of manually checking.
Mechanical engineering · DACH
Machine Builder
Problem
Technicians receive schematics and need to compile information from multiple documents before they can even start work.
Coworker
Coworker reads schematics, identifies relevant components, prepares a structured info briefing for the technician — including data sheets and prior data.
Technicians start with full context instead of research.
Internet provider · regional
RST Datentechnik
Problem
Outages get detected too late, reports handled too late, customers informed too late. Classic SME support bottleneck.
Coworker
Coworker monitors systems proactively, takes incident reports, classifies by severity, coordinates with technicians, keeps customers informed.
Faster response, fewer escalations, support team relieved.