Engineering Notes & Domain Intelligence

Shaping domain
intelligence,
one signal at a time.

What we ship, what we learn, and what it signals for aviation, freight, manufacturing, pharma, finance, and government.

( Signals · Agentic AI Engineering )

Blog & Newsroom.

Engineering notes, announcements, and domain intelligence, written by the team that builds and operates the platforms.

Serving those who
need to stay ahead.

We don't pitch slide decks. We show you what we've already built in your domain, then engineer what your mission requires.

ZOROSTIntelligence

Shaping domainintelligence,one signal at a time.

Blog & Newsroom.

KV Cache to Prompt Cache, the Architecture of Cheap Inference

Rerankers Earn Their Latency, Two-Stage Retrieval Economics

Hybrid Retrieval: Why Vector Alone Isn’t Enough

One Agent or Many? A Decision Framework from Production

Cost Observability for LLM Systems, Envelopes and Attribution

Evals Are the New Tests, Ship the Harness Before the Feature

Reasoning Models Change the Cost Equation, When to Pay to Think

Structured Outputs, The End of Parsing Pain

Chunking Is a Data Modeling Decision, Not a Preprocessing Step

Agent Memory, What to Persist, What to Forget, and Where

RAG in 2026, From Vector Search to Retrieval Systems

The AI Incident Postmortem Template, What to Capture

The Agentic Loop, How Modern Agents Actually Run

System Prompts Are Load-Bearing Infrastructure, Version Them

Embeddings Are Not Retrieval, Where Cosine Similarity Fails

Agentic Is a Loop That Closes, Not a Label on a Chatbot

Serving those whoneed to stay ahead.

Applications

Company

Shaping domainintelligence,one signal at a time.

Blog & Newsroom.

KV Cache to Prompt Cache, the Architecture of Cheap Inference

Rerankers Earn Their Latency, Two-Stage Retrieval Economics

Hybrid Retrieval: Why Vector Alone Isn’t Enough

One Agent or Many? A Decision Framework from Production

Cost Observability for LLM Systems, Envelopes and Attribution

Evals Are the New Tests, Ship the Harness Before the Feature

Reasoning Models Change the Cost Equation, When to Pay to Think

Structured Outputs, The End of Parsing Pain

Chunking Is a Data Modeling Decision, Not a Preprocessing Step

Agent Memory, What to Persist, What to Forget, and Where

RAG in 2026, From Vector Search to Retrieval Systems

The AI Incident Postmortem Template, What to Capture

The Agentic Loop, How Modern Agents Actually Run

System Prompts Are Load-Bearing Infrastructure, Version Them

Embeddings Are Not Retrieval, Where Cosine Similarity Fails

Agentic Is a Loop That Closes, Not a Label on a Chatbot

Serving those whoneed to stay ahead.

Applications

Company

Shaping domain
intelligence,
one signal at a time.

Serving those who
need to stay ahead.

Shaping domain
intelligence,
one signal at a time.

Serving those who
need to stay ahead.