Enclave/Expertise
02 / EXPERTISE

Different disciplines. One engineering mindset.

The right solution may require an LLM, a predictive model, computer vision, deterministic rules—or no AI at all. We choose based on the problem, not the trend.

01
Coordinated intelligence

Agentic AI & Automation

AI-assisted workflows that coordinate information, tools and decisions across multiple steps, with useful orchestration and human control where it matters.

02
Grounded knowledge

Enterprise RAG & Knowledge Systems

Searchable systems that retrieve relevant context, check answer quality and make it easier to trace information back to its source.

03
Boundaries & evidence

AI Governance & Security

Policy-driven layers for content inspection, tool-use safeguards, privacy-aware routing, audit records and operational monitoring.

04
Decision support

Machine Learning & Predictive Intelligence

Models that detect patterns, estimate risk, forecast outcomes and support better decisions—with attention to data quality and explainability.

05
Visual operations

Computer Vision & Edge Intelligence

Visual detection connected to operational logic for monitoring, parking, asset visibility and event-driven automation.

06
From prototype to system

AI Product & Platform Engineering

Models connected to interfaces, APIs, databases, permissions and operational workflows—so AI becomes useful beyond a prototype.

06 / ENGINEERING FOUNDATION

Tools change. Good architectural judgment doesn't.

Model choice, hosting and orchestration are based on the needs of each implementation—not loyalty to a particular vendor.

LLMs & inferenceOpenAI, Groq, Ollama and supported open models
Agents & orchestrationLangGraph, LangChain, stateful workflows, tool calling and human approvals
Machine learningPyTorch, TensorFlow, scikit-learn, XGBoost, CatBoost and SHAP
Computer visionOpenCV, YOLO and ONNX Runtime
Retrieval & storagePostgreSQL, pgvector, Qdrant, FAISS, ChromaDB, Redis and Neo4j
Application engineeringPython, FastAPI, React, Next.js and TypeScript
InfrastructureDocker and AWS-oriented deployment patterns
OperationsAPI testing, Prometheus, Grafana and OpenTelemetry

Technology selection is project-specific. Individual systems use the stack appropriate to their environment and constraints.

→ / LET'S TALK

Build the AI your business actually needs.

Discuss a project →