PlantInference

Future‑proof industrial AI at the plant floor.

We are building PlantInference — a platform to make it safe and repeatable to apply whatever comes out of the current momentum in AI to real factory operations.

Stepwise industrial autonomy: observe → recommend → supervised execute — powered by local inference at the plant.

Plant‑floor ready Governed autonomy Pack‑based capabilities

What this means

  • A future‑proof platform to adopt new AI tools, models, and workflows as they emerge
  • Downloadable tool/model/use‑case packs to expand plant‑floor capabilities over time
  • A governed path to let generative AI automate the application of packs to improve quality, cost, and production time
  • Always‑on surveillance to detect anomalies and optimization potential
  • A growing toolchain of role‑specific agents available on the factory floor

Vision

Make industrial plants ready for AI — not for one model, but for the next decade of capabilities.

Operational excellence

Improve stability, throughput, quality, and cost through continuous analysis and guidance.

Governed autonomy

Earn automation through staged verification and clear operational boundaries.

Future‑proof adoption

A platform that stays relevant as new AI tools and models arrive.

Goals

PlantInference is focused on outcomes that matter on the factory floor — without forcing a plant into a single vendor’s roadmap.

Reduce deployment & lifetime cost

  • Shorten time‑to‑value for plant software initiatives
  • Reduce ongoing reliance on scarce external specialists
  • Enable configuration and change management through guided interaction

Continuous surveillance & optimization

  • Detect anomalies early (process, quality, equipment behavior)
  • Surface optimization opportunities (quality, cost, production time)
  • Provide clear evidence for operations and improvement teams
Bottom line: the goal is a plant that continuously learns and improves — with humans in control of when and how automation is applied.

Tool / model / use‑case packs

Capabilities are delivered as packs that can be added over time — enabling a controlled expansion from monitoring to automation.

Use‑case packs

Purpose-built capabilities for common plant-floor goals (performance, quality, event intelligence).

Model packs

Industrial models that evolve over time, bringing new reasoning and analysis capabilities to the plant.

Tool packs

Role-specific tools and workflows that make agents useful on the factory floor.

Stepwise adoption

Autonomy is earned through verification over time — starting with insight and moving only as far as the plant is comfortable.

1

Observe

Continuous surveillance, anomaly detection, and opportunity discovery.

2

Recommend

Guidance and proposals for improvement actions, with evidence and traceability.

3

Supervised execute

Automation only where governance and approvals are in place, and only within defined boundaries.

Team

A founding team with deep experience from industrial software development, delivery and industrial operations workflows.

Contact

Interested in plant‑floor AI, operational excellence, or industrial autonomy? Let’s talk.

Email: ek@plantinference.ai

What we discuss

  1. What goals matter most in your operations
  2. Which packs could deliver the biggest early wins
  3. Governance requirements for safe adoption