Depth from the team building the AI Agent Platform.
LLM security is not a single filter. Here is how AICLUDE spreads the responsibility across input, RAG, memory, prompt, and output — and keeps PII searchable without giving up on encryption.
Retrieval looks fine, but answers still drift. Here is why teams move from Classic RAG to Graph and Agentic RAG — and the exact mix AICLUDE runs in production.
Agents built on a single LLM call look great in demos and fail in production. Here is how AICLUDE decomposes agent execution into 8 explicit stages, and which failure mode each stage is responsible for.
Marketing used to live in campaign-sized batches: launch, review, repeat. A continuous loop — signal, draft, publish, learn — changes the unit of work from a month to an hour.
A four-month PoC with STNET (Dec 2025 – Mar 2026) running CLU Agent Station kiosks across Kagawa retail sites. Just two kiosks detected more than 6.4 million pedestrians, and nearly two out of three responded when the AI spoke first.
Storefront signage has long been a "big TV" that plays whatever was uploaded. That era is ending. The next generation of signage plans, produces, and measures its own content, on its own loop.
How many visitors today. When the rush hit. The five things they asked most. What we couldn't answer. All on one A4 page, every morning.
A hotel, a hospital, a bank, a municipal office — every visitor remembers how the first 30 seconds felt. Putting an AI concierge at that moment is less about replacing staff and more about making sure the first moment is never empty.
Once your personal agent starts answering well, the next thought comes naturally: "I should show this to my team." Here is the safe way to promote it from personal to shared.