Vector Foundries — A Manifesto for Industrial Intelligence

01

The 12-Screen Problem

A large copper operation runs 12–18 siloed software platforms. The shift supervisor checks 8+ separate screens to make a single decision. 40% of operational decisions are delayed by fragmented information.

What We Build

Industry Deserves Better Software

Coherent spatial intelligence that unifies real-time telemetry & sensors, enterprise systems (ERP/AMS), spatial models & digital twins, and human workflows & AI agents — in one environment.

› Replacing 12+ siloed platforms with one spatial model

02

Queryable Reality

“Which truck on bench 4 has overdue maintenance?” — answered in milliseconds against live mine state. Most “digital twin” vendors deliver a 3D viewer. We deliver a persistent spatial graph.

The Architecture

Infrastructure, Not Demos

Vector Foundries builds the industrial twin backbone: persistent spatial environments, real-time data pipelines, AI agent orchestration, and enterprise-grade security.

› Query latency target: <100 ms on live operational data

03

One Engine, Every Vertical

Assets, locations, events, relationships — structurally identical in a gold mine, an LNG terminal, and a wind farm. One backbone serves them all. ~85% code reuse across MineTwin, OilandGasTwin, EnergyTwin.

Core Architecture

Industry as a System

Mining, Energy, Processing — these are variations of the same structural problem: complex physical systems operated under uncertainty. We build a reusable core from which vertical twins emerge.

› ~85% code reuse across all vertical expressions

04

The Right Alert, in the Right Place

A haul truck’s tire pressure drops 12% over 40 minutes. That alert surfaces anchored to its exact GPS location on the 3D bench model — not buried in a spreadsheet three screens away. Mean time to detection: 22 min → 4 min with spatial context.

Design Philosophy

Augmenting Human Judgment

Heavy industry runs on judgment. Our AI agents extend operators, not replace them — surfacing insights in physical context, explaining reasoning transparently, and respecting operational constraints.

› MTTD: 22 min avg → 4 min with spatial context

05

The Shift Supervisor Problem

Blast timing, grade control, slope stability, crusher throughput — 12+ systems, each speaking a different language. One person making ~3,000 decisions per shift. Our twin collapses all of it into one spatial view.

Our Approach

Navigable Complexity

The problem is not data scarcity — it is cognitive overload. We convert data exhaust into spatial clarity by anchoring it to reality. One environment where the right call is never buried under noise.

› ~3,000 operational decisions per shift, per site

06

Infrastructure That Compounds

MineTwin.ai’s second site cost 85% less to deploy than the first. The third will cost less than the second. Every deployment strengthens the core.

Economics of Multi-tenancy

Design for Scale

A multi-tenant SaaS backbone. A reusable engine. A composable ecosystem. Shared infrastructure, fully isolated environments — enterprise-grade security without the cost of dedicated hardware.

› Deployment cost curve: −85% by site #3

07

The SAP Inflection Point

The first commercial ERP was deployed in 1972. It took 25 years to become standard in heavy industry. Industrial spatial intelligence is at that same inflection point today. Adoption cycles: 20–30 years. We build for the long haul.

Our Conviction

Long-Term Builders

Industrial transformation happens in decades. We are building durable enterprise software and foundational IP — the infrastructure layer that compounds over decades, not a point solution chasing quarterly metrics.

› Industrial software adoption cycles: 20–30 years

INDUSTRIAL
INTELLIGENCE

Seven Convictions

The 12-Screen Problem

Queryable Reality

One Engine, Every Vertical

The Right Alert, in the Right Place

The Shift Supervisor Problem

Infrastructure That Compounds

The SAP Inflection Point

The Backbone in Action

MineTwin.ai

OilandGasTwin.ai

EnergyTwin.ai

Technical Rigor Over Hype