AI-Native Industrial Process Control

The shopfloor
finally gets its
AI moment.

AI insights today. Agent-optimized operations tomorrow.
Powered by your process knowledge in our connected platform.

KnowledgeBound replaces static, rule-based procedural control with Agent-driven, knowledge-bound process orchestration that reasons the way an experienced operator would.

🗓 Platform launching January 2027  ·  Beta enrollment open now

AI is transforming every part of business —
except the shopfloor.

Manufacturers see the roar of AI innovation in research, business, and engineering tools. Yet the shopfloor — where most of the value is actually created — remains quiet. They are hungry for transformative change. The window to lead is now.

Path A — The Status Quo

Hard-coded, rigid, costly

Deterministic orchestration requires massive upfront investment to build and maintain inherently rigid, hand-coded sequences. Every change is an engineering project. Every edge case breaks the logic.

Path B — The Manual Alternative

Paper-guided, workforce-dependent

Manual, paper-guided control relies on a dwindling skilled workforce, produces inconsistent output, and scales nowhere. Few facilities have real-time visibility into their own operations. Near zero run optimally.

The Market Gap

Enterprise is building their own. SMBs are being left behind.

Frustrated by what industrial automation incumbents fail to deliver, large enterprises are funding internal build programs. Small and mid-market manufacturers don't have the resources — and nobody is solving it for them.

The Incumbent Problem

Incumbents are complacent. Startups are augmenting, not replacing.

Today's AI-era industrial startups make the rule-based control engine more visible, more reportable. They don't replace it — because they didn't start by building the knowledge foundation that makes replacement possible.

20,000+
US facilities with foundational automation in place
~0%
running with AI-native process orchestration today
Now
the window to lead this transition is open
The Platform

From knowledge repository
to autonomous orchestration

Four phases. One connected platform. Each phase delivers immediate value — and seeds the next.

01
Foundation

Build the Knowledge Repository

We integrate your manufacturing floor into a Unified Namespace, establishing a semantic hierarchy that gives every data point an address and a context. On top of it, we overlay a knowledge graph encoding how your process systems relate, how state connects to outcomes, and how context shapes meaning. The repository builds automatically from your existing process definitions and historical data — then grows with every operation and every operator interaction.

02
Wedge Product

"Chat Your Plant" — Instant Visible Value

The first product your team experiences is conversational: a chat interface to your plant's operations, grounded in your own process knowledge. Engineers ask why a phase deviated and get reasoning. Operators get answers drawn from your data, not generic AI training. Insights previously burdensome or impossible to surface become a question typed into a chat box.

✦ ChatGPT for your plant — available from day one
03
Core Differentiator

Agent-Driven Process Orchestration and Optimization

Using the knowledge repository as its grounding, our agent orchestrates the process for optimized output — replacing the static sequences and manual guidance that govern today's facilities. Operators are guided, not replaced. Edge cases are escalated to humans for confirmation. Each confirmation enriches the repository, moving the system toward autonomous, optimized operation. This is the true differentiator — and the long-term value accelerator.

04
Value Expansion

Turn on Functionality that Matters for You

Production scheduling. Paperless batch records. Predictive maintenance. Advanced control. In today's market, each of these outcomes requires a separate product with its own infrastructure, license fees, and configuration. Because our knowledge repository already encodes what each of them needs, your team simply subscribes to the capability — no new infrastructure, no new configuration. The knowledge is already there.

Why KnowledgeBound

Built differently,
from the ground up

Our competitors augment the rule-based control engine. We replace it — because we started by building the knowledge foundation that makes replacement possible.

🧠

AI-Native, Not AI-Bolted-On

The intelligence layer isn't a wrapper around a legacy control system. It's the foundation. Every component — from data ingestion to orchestration to operator guidance — was designed for agentic reasoning from day one.

🔗

Your Knowledge, Your Moat

The more process knowledge your repository accumulates, the more value the platform returns — and the stronger the advantage over any greenfield competitor. Predictions sharpen. Autonomy widens. The platform surfaces its own upsell case from your operational data.

📐

Open, Not Locked

We don't lock you into proprietary data formats or closed ecosystems. The platform deploys over standard protocols — OPC-UA, MQTT, Sparkplug B — and sits above your existing DCS, SCADA, or historian. Your infrastructure stays.

🎯

Deep Platform Experience

We launched on DeltaV — the market-leading DCS with 3,000+ US installations — because our co-founders spent over a decade building, deploying, and optimizing on it. This isn't adjacent knowledge. It's native expertise.

Value from Day One

"Chat Your Plant" delivers actionable operational insight before a single orchestration workflow goes live. The entry point is low-friction and immediately useful — earning the right to orchestration by proving value first.

🤖

Agentic from Onboarding Forward

Even our onboarding runs on agents. The Platform Configuration Agent and Customer Success Agent support adoption without requiring human service hours — so the platform that promises autonomous operations is built on the same philosophy internally.

The Knowledge Moat

More knowledge.
More value. Deeper moat.

The repository that powers the platform doesn't depreciate — it compounds. Here's how:

01

Repository builds automatically

Imported from existing process definitions, equipment specifications, and historical operational data. No manual knowledge entry required.

02

Every run enriches it

Each processing iteration feeds the repository. Every Chat-Your-Plant conversation sharpens it. Every human confirmation on an edge case expands its boundaries.

03

The platform earns its own expansion

The same data that surfaces insights also quantifies their business value — making the case for expanded spend a platform output, not a sales pitch.

"The more knowledge amassed, the more value returned to the customer —
and the stronger our moat."
Built by Operators

We've lived this problem.
For decades.

KnowledgeBound wasn't conceived in a boardroom. It was built by engineers who spent their careers inside process facilities, legacy automation platforms, and enterprise technology stacks that define this industry. They got tired of the lack of innovation on the shop floor and decided to build the tools that should exist but don't.

Beta Program

Join the disruption.

We're enrolling a select cohort of early-adopter customers ahead of our January 2027 launch — prioritizing SMB batch chemical facilities where the economics are clear and the outcomes are measurable within weeks of go-live.

Beta participants get hands-on access to the platform, direct engagement with our founders, and the opportunity to shape the product roadmap before broad release.


Platform Launch: January 2027
Beta enrollment open now · Limited cohort
Request Beta Access

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