Service
AI & Agentic Engineering
At Keleno, AI isn't a bolt-on feature — it's engineering discipline applied to intelligent systems. We build production-grade AI across four capability areas, drawing on deep domain experience in Hospitality, Healthcare, and IoT/IIoT.
What's inside this service
Four capability areas
Applied AI & Machine Learning
We build ML systems that turn your operational data into predictions and decisions — demand forecasting, predictive maintenance, anomaly detection, computer vision for quality and safety monitoring, and personalization engines. Grounded in your sensor and operational data, not generic models.
Generative AI & LLM Solutions
Custom copilots, retrieval-augmented (RAG) knowledge systems, and document/communication automation built on top of your existing SOPs, policies, and data — so your team gets accurate, cited answers instead of generic chatbot responses.
Agentic AI Systems
This is where we go beyond "AI that answers" to AI that acts. We design and ship autonomous agents that plan, take real actions inside your existing systems, and hand off to humans only when needed. Two examples from our delivered work below.
AI Infrastructure & MLOps
The engineering foundation that makes AI reliable in production: evaluation and guardrails, integration with your existing cloud and IoT stack, and data-readiness assessments — because most AI initiatives succeed or fail on data quality and system integration, not model choice.
From our delivered work
Agentic AI in production
Agentic Data Routing — MedSyncAI
Built a data exchange layer where an autonomous agent decides how incoming healthcare data should be routed and distributed. Users configure their preferred ingestion sources; the agent handles downstream distribution logic — reducing manual configuration and routing errors in a domain where correctness and compliance matter.
Guest-Facing Action Agent — Vividity, for Hubloft
Built a conversational agent that guests interact with directly to make requests — room changes, service bookings — and the agent executes those actions in the connected PMS in real time, with no staff intermediary required.
A note on proof
The agentic work above is real, delivered engineering. We're still publishing named case studies for our applied ML, generative AI, and infrastructure work — rather than show you a borrowed logo or an invented metric, we'd rather walk you through a relevant engagement directly. Ask us for specifics.