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.

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.

Cost and latency engineering for LLM systems

Agent failure taxonomy: ten classes, with recovery for each

Pipeline reliability and the failures that never raise an alert

What Genie costs, and how to roll it out without a bill shock

Agent evaluation harness: grade the run, not the reply

Genie App Builder, App Spaces, and governed vibe coding

Structured output: getting data instead of prose from a model

Genie ZeroOps and the review-and-approve operating model

Tool design: typed contracts an agent can actually use

Genie Code, agentic data and ML engineering

Agent memory: what to persist, what to forget, and where

Ontology Governance, the Semantic Layer AI Actually Needs

Context engineering: treat the window as a budget you spend

Prompt looping: designing a loop that actually closes

The agent harness, not the model, decides if your agent works

Building applications and agents on top of Genie

Serving those whoneed to stay ahead.

Applications

Company

Shaping domainintelligence,one signal at a time.

Blog & Newsroom.

Cost and latency engineering for LLM systems

Agent failure taxonomy: ten classes, with recovery for each

Pipeline reliability and the failures that never raise an alert

What Genie costs, and how to roll it out without a bill shock

Agent evaluation harness: grade the run, not the reply

Genie App Builder, App Spaces, and governed vibe coding

Structured output: getting data instead of prose from a model

Genie ZeroOps and the review-and-approve operating model

Tool design: typed contracts an agent can actually use

Genie Code, agentic data and ML engineering

Agent memory: what to persist, what to forget, and where

Ontology Governance, the Semantic Layer AI Actually Needs

Context engineering: treat the window as a budget you spend

Prompt looping: designing a loop that actually closes

The agent harness, not the model, decides if your agent works

Building applications and agents on top of Genie

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.