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.

AI Engineering Lab: 24 weeks from first notebook to a production lakehouse

The AI Engineering Skills Map, turned into a training plan

OneRead, a compiler for Simplified Technical English

Running Kimi K3 locally: activation sparsity as architecture

What a federal capability statement should actually say

How a generated asset stays tied to the data it came from

Comparing freight policy alternatives without a month-long study

Architecture decisions to settle before approving AI at scale

Geospatial AI for transportation and mobility

GeoParquet and the cloud-native geospatial stack

Agents that check their own work

Orchestrator and workers: the model loop that beats one big model

MCP, RAG, and skills solve three different problems

Lakebase and the operational database an agent needs

Genie Ontology, the context layer under every Genie answer

Curating a Genie Agent that earns trust

Serving those whoneed to stay ahead.

Applications

Company

Shaping domainintelligence,one signal at a time.

Blog & Newsroom.

AI Engineering Lab: 24 weeks from first notebook to a production lakehouse

The AI Engineering Skills Map, turned into a training plan

OneRead, a compiler for Simplified Technical English

Running Kimi K3 locally: activation sparsity as architecture

What a federal capability statement should actually say

How a generated asset stays tied to the data it came from

Comparing freight policy alternatives without a month-long study

Architecture decisions to settle before approving AI at scale

Geospatial AI for transportation and mobility

GeoParquet and the cloud-native geospatial stack

Agents that check their own work

Orchestrator and workers: the model loop that beats one big model

MCP, RAG, and skills solve three different problems

Lakebase and the operational database an agent needs

Genie Ontology, the context layer under every Genie answer

Curating a Genie Agent that earns trust

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.