AI Engineering, Automation & Intelligent Systems
Production-grade AI systems, intelligent automation, and scalable cloud infrastructure. Built by senior engineers with deep expertise in generative AI, MLOps, and industrial IoT.
AI Engineering & Generative AI Solutions
Design and deployment of production AI systems
Implementation of LLM-based systems (OpenAI, Claude, AWS Bedrock), RAG architectures, multi-agent systems, enterprise chatbots, and AI copilots for operations, support, and analytics.
Key Benefits
- • Cognitive task automation
- • Operational cost reduction
- • Data-driven decision making
Tech Stack
AWS Bedrock, OpenAI, Claude, LangChain, LangGraph, Langfuse, PostgreSQL + pgvector
Intelligent Process Automation (IPA)
Complex process automation with AI + business rules
Automation of operational workflows (back-office, reporting, validations), AI integration with existing systems (ERP, CRM, APIs), human-in-the-loop systems for critical processes, autonomous agents with control and traceability.
Key Benefits
- • End-to-end workflow automation
- • Legacy system integration
- • Compliance and auditability
Tech Stack
Python, FastAPI, Celery, Redis, PostgreSQL, Docker
Machine Learning & Predictive Analytics
Predictive models applied to business and industry
Predictive maintenance models, anomaly detection, time series forecasting, ML applied to IoT and industrial data, lightweight models for edge computing.
Key Benefits
- • Failure prevention
- • Real-time insights
- • Edge deployment
Tech Stack
Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy
Full Stack AI Applications
AI-first digital products ready for production
Development of web platforms with integrated AI, intelligent dashboards and advanced analytics, high-performance internal systems, AI-driven SaaS products.
Key Benefits
- • Modern UX/UI
- • Real-time analytics
- • Production-grade code
Tech Stack
Next.js, React, TypeScript, Tailwind, NestJS, FastAPI, Django, Node.js
Cloud Architecture & DevOps (AWS)
Scalable and secure infrastructure for critical systems
Cloud-native architecture design, serverless (AWS Lambda) and containers (ECS, Docker), CI/CD pipelines, infrastructure as code (Terraform), observability and monitoring.
Key Benefits
- • Auto-scaling
- • Cost optimization
- • 99.9% uptime
Tech Stack
AWS (Lambda, ECS, S3, RDS), Terraform, GitHub Actions, CloudWatch, Datadog
IoT, Edge AI & Intelligent Devices
Hardware + software + AI integration
End-to-end IoT systems, edge AI for real-time processing, sensor → cloud → dashboard integration, firmware and embedded control.
Key Benefits
- • Real-time processing
- • Low latency
- • Offline capability
Tech Stack
ESP32, Arduino, Raspberry Pi, MQTT, BLE, C/C++, Python
AI Observability, Governance & Reliability
Responsible and operable AI in production
LLM observability, prompt and model evaluation, cost control and optimization, security and hallucination mitigation, audit and traceability.
Key Benefits
- • Cost transparency
- • Quality assurance
- • Risk mitigation
Tech Stack
Langfuse, Weights & Biases, MLflow, Prometheus, Grafana
AI Strategy & Technical Advisory
Strategic guidance for AI adoption
AI maturity assessment, adoption roadmaps, high-impact prototypes, architecture and cost review, technical mentoring for internal teams.
Key Benefits
- • Clear AI roadmap
- • Risk assessment
- • Team enablement
Tech Stack
Strategic consulting, technical workshops, POC development
Security, Reliability & Quality Engineering
Robust and reliable systems
API and system security, authentication and authorization, automated testing, fault-tolerant system design.
Key Benefits
- • Secure by design
- • High availability
- • Quality gates
Tech Stack
OAuth2, JWT, Pytest, Playwright, Kubernetes, Load Balancers
Service Packages
Engagement models designed for rapid value delivery
AI Proof of Value
4–6 weeks
Real customer use case, functional MVP, clear impact metrics. Validate AI feasibility before full commitment.
Deliverables
- • Technical feasibility assessment
- • Working MVP with real data
- • ROI projection and success metrics
- • Production roadmap
AI Production Upgrade
6–10 weeks
Take prototypes to production with observability, security, and cost optimization.
Deliverables
- • Production infrastructure setup
- • Observability and monitoring
- • Security hardening
- • Cost optimization strategy
AI Automation Sprint
8–12 weeks
Complete automation of one business process with measurable ROI.
Deliverables
- • End-to-end process automation
- • Integration with existing systems
- • Measurable ROI report
- • Documentation and handover
Ready to transform your business with AI?
Book a 30-minute technical discovery call. No sales pitch—just an honest conversation about your challenges and how we can help.