sightmachine.com valid

Sight Machine

Sight Machine is the Industrial AI company. We deliver AI agents and a semantic data layer that turn raw plant data into decisions — reducing downtime, improving quality, and optimizing production across manufacturing enterprises.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T10:56:21.997Z. Cached copy · Source on sightmachine.com

# Sight Machine

> Sight Machine is the Industrial AI company. We deliver AI agents and a semantic data layer that turn raw plant data into decisions — reducing downtime, improving quality, and optimizing production across manufacturing enterprises.

Founded in 2011 and headquartered in San Francisco and Ann Arbor, Sight Machine serves 20+ industries across 20+ countries. Backed by Microsoft, NVentures, Mitsui, and others.

## What we do

Sight Machine brings three capabilities to manufacturing:

1. **Manufacturing Context Layer** — Connects to all OT and IT systems (historians, MES, ERP, PLCs, documents, SOPs) and builds a structured digital model of the plant. Proprietary Blueprint SLM maps tags to physical assets automatically. This is the data foundation everything else runs on.

2. **Dynamic Production** — AI agents that continuously monitor every line, investigate anomalies, surface root causes, and recommend corrective actions. Agents work with process experts — not instead of them.

3. **Enterprise Agents** — Publishes manufacturing intelligence as an MCP server so any agent in the enterprise can use it. Connects to Microsoft Teams, NVIDIA Omniverse, Databricks, and other enterprise tools.

## Solutions (use cases)

- **Dynamic Scheduling** — Agents replan production schedules in real time as conditions change. Constraint-aware replanning using fine-tuned optimization models. < 5 min to a revised schedule after a disruption.
- **Uptime & Availability** — Continuous fault monitoring, root cause investigation, and corrective action tracking. 34% reduction in unplanned downtime.
- **Quality & Yield** — Real-time quality KPI tracking, pattern investigation, and pre-batch risk flagging. 40% reduction in quality escapes.
- **Process Improvement & Changeover** — Process parameter optimization, cross-line comparison, and changeover analysis. 6 min average time recovered per changeover.
- **Commissioning & Ramp** — New line monitoring from day one against best-practice baselines. 3-week reduction in time to target performance.
- **Energy & Waste** — Production-normalized energy consumption analysis. 23% reduction in energy cost per unit.

## Industries served

Food & Beverage, Automotive, Consumer Packaged Goods, Industrial Equipment, Metals / Glass / Paper / Process. Also active in chemicals, life sciences, packaging, and 15+ other verticals.

## Key differentiators

- **Blueprint SLM** — Proprietary specialized language model that maps plant tags to physical assets automatically, without manual configuration.
- **Semantic layer for OT/IT** — The only platform that structures industrial data (not just aggregates it) so AI agents can reason on it.
- **Deploys in days** — Not months. The Manufacturing Context Layer and first agents are live in a typical plant within a week.
- **Human-in-the-loop** — Agents do the first pass on every analysis. Process experts review, refine, and approve. The model has provenance.
- **MCP server** — Manufacturing int
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