We build systems,
that never sleep.

<strong>Why AI agents?</strong> Traditional automation handles repetitive tasks. AI agents go further — they can plan, decide and react to unexpected situations. We deploy them in customer support, internal processes and autonomous logistics management.

<strong>How we do it:</strong> We combine LLMs (GPT-4, Claude, Llama) with RAG architecture for working with company data. Each agent has defined guardrails, audit trail and fallback mechanisms. Production-grade means monitoring, alerting and kill-switch.

<strong>Real results:</strong> AI agent for customer request triaging reduced response time by 73%. RAG system over internal documentation eliminated 40% of L2 support escalations.

<strong>Business backbone systems.</strong> ERP, logistics IS, transaction systems — these are systems whose downtime costs thousands per minute. We design them for availability, scalability and longevity.

<strong>Approach:</strong> Domain-driven design, event-driven architecture, CQRS where it makes sense. Modular structure enables gradual modernization without big-bang migration.

<strong>Experience:</strong> Logistics IS processing 2M+ shipments daily. Loyalty system for 5M+ users with sub-100ms latency. Mainframe migration to modern stack without a single outage.

<strong>Cloud isn't just 'move servers'.</strong> Proper cloud architecture means auto-scaling, high availability, disaster recovery and cost optimization. We help with migration and greenfield design.

<strong>Technologies:</strong> Azure, AWS, GCP — we choose based on your needs, not our preference. Terraform/Pulumi for IaC, GitHub Actions/GitLab CI for CI/CD, Kubernetes for container orchestration.

<strong>Results:</strong> On-prem infrastructure migration to Azure with 40% operational cost savings. CI/CD pipeline shortened deployment from hours to minutes. Multi-region setup with 99.99% availability.

<strong>Data is the fuel of modern business.</strong> But only if it's quality, accessible and connected. We build data platforms from collection through transformation to visualization and machine learning.

<strong>Stack:</strong> Apache Kafka for streaming, Spark/dbt for transformations, Airflow for orchestration. Snowflake, BigQuery or Databricks as analytical layer. Data quality monitoring as standard.

<strong>Examples:</strong> Real-time pipeline processing 500K events/sec for e-commerce. Data catalog with lineage for regulated financial institution. ETL migration from legacy SSIS to modern dbt + Airflow.

<strong>Security isn't a feature — it's a property.</strong> We integrate security into every development phase. From threat modeling through secure coding to penetration testing and incident response.

<strong>Specialization:</strong> AI security (prompt injection, jailbreak protection), cloud security posture management, Zero Trust architecture. GDPR, NIS2, ISO 27001 compliance.

<strong>Practice:</strong> Security audit revealed 23 critical findings before fintech platform launch. AI guardrails prevented sensitive data leakage from LLM chatbot. Incident response runbook shortened MTTR by 60%.

<strong>Connecting digital with physical.</strong> From field sensors through edge computing to central analytics. We design IoT platforms for industry, logistics and smart buildings.

<strong>Architecture:</strong> Device provisioning, mTLS communication, OTA updates, real-time telemetry. Edge processing for low latency and offline capability.

<strong>Implementation:</strong> Telemetry platform for 50K+ devices with 99.9% delivery rate. Computer vision for automated quality control in manufacturing. Robotic sorting warehouse processing 15K packages/hour.