DailyMind LTD · Cyprus · EU

Infrastructure and Operations for AI Agents

SRE, DevOps, and AgentOps for software that agents build and run: production readiness, incident response, cost control, and audit evidence for regulated EU teams.

Plus systems engineering for machine tools and industrial equipment, from idea through production.

Why Now

Agent-built code passes review and breaks in production

82%
of technology leaders had a production failure tied to AI-generated code in the past six months
78%
report more production incidents once AI-generated code ships
94%
still rated AI-generated code higher quality at review

Source: New Relic, State of AI Coding 2026: survey of 200 US technology decision-makers

Agent Ops

Run agents like production systems

Reliability, security, cost, and evidence for agents and the software they write.

Where We Come From

Track Record

15+ years of enterprise technology before building our own products

Citibank logo
Citibank

AML/KYC onboarding systems for Citi, the leading global bank serving over 200 million customer accounts across 160+ countries.

Huawei Technologies logo
Huawei Technologies

Static code analysis, 5G, IoT, and cybersecurity solutions for the leading global provider of information and communications technology.

Megalabs logo
Megalabs

Video subscriptions service consulting.

Services

Security, compliance, and infrastructure engineering

For digital systems, machine tools, and industrial equipment.

01

Security

  • Cybersecurity threat assessments
  • Security-first CI/CD and automated vulnerability scanning
  • Blockchain transaction and financial correctness reviews
  • Security guardrails for production services
02

Compliance

  • Notabene Travel Rule integrations
  • Regulatory compliance engineering
  • GDPR-readiness checks
03

Infrastructure

  • Infrastructure as code, understandable by engineers and AI agents
  • Observability and monitoring
  • Working operational processes and workflows
  • Self-hosted, privacy-first retrieval (RAG) for sensitive knowledge
04

Systems Engineering

  • Low-level programming and hardware applications
  • Machine tools and industrial equipment, from idea through production

Selected Work

Cases across software and hardware

Examples of products and systems built across different domains.

Systems engineering

Systems Engineering for Machine Tools and Industrial Equipment

Low-level programming, hardware applications, and production delivery for machine tools and industrial equipment.

Regulatory terminology governance

Terminology Compliance for Robotics and Automotive

Controlled regulatory terminology for robotics, automotive, and machine-tool documentation, with approval workflows, audit trails, and terminology-drift detection.

Privacy and workflow automation

GDPR-Compliant Data Synchronization

GDPR-compliant data synchronization, automating a multi-hour onboarding workflow.

Mobile and platform engineering

LinkedIn Publishing Service

iOS application in Swift, Go backend, Ansible infrastructure, and security guardrails.

Legal workflow automation

Legal Audit-Trail Reconciliation

Automated audit-trail analysis and reconciliation for Cyprus; work in other countries requires further development.

HR analytics

HR Communication Observability

Analysis of communication patterns for soft skills and performance signals.

Professional Membership

DailyMind is a Corporate Member of the Cyprus Compliance Association

Supporting professional standards, knowledge exchange, and stronger compliance practice in Cyprus.

View CCA Corporate Membership

Katerina Bletsch

Founder & CEO, DailyMind LTD

Engineer and product builder with 15 years in enterprise technology: security-first CI/CD and GDPR data work at Citibank; backend, platform, and 5G security at Huawei. I now combine customer research, product ownership, and engineering to take digital and hardware products from idea to production.

Recent work: SRE for a 100+ chain blockchain data pipeline, and sole ownership of crypto node operations and compliance integrations. DailyMind's own products are maintained with multi-agent pipelines, including nightly review-and-fix loops. Based in Cyprus, I bring that operating discipline to teams running agents in production.

Let's talk

Running agents in production, or about to? Share your setup and what worries you about it.

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