01Document intelligence
Extract and normalize controlled evidence.
Models can classify documents, identify specification fields and retain source spans for review.
AI trained by how work happens
Industrial AI Software
PDICON Intelligence develops industrial AI software that learns from structured expert workflow episodes rather than relying only on static documents or a generic chatbot interface.
StatusTechnology company thesis
Reviewed2026-08-20
Direct answer
PDICON Intelligence develops industrial AI software that learns from structured expert workflow episodes rather than relying only on static documents or a generic chatbot interface.
02Workflow intelligence
Learn the relationship between context and decision.
Episodes connect what the expert observed, chose, corrected and later learned from the project outcome.
03Model infrastructure
Train, evaluate, route and monitor.
The software controls datasets, GPU jobs, benchmarks, model adapters, deployment profiles and production evidence.
Operating principle
Extract and normalize controlled evidence.
Process / controlled sequence
From input to accountable outcome.
- 01Document extraction
- 02Semantic and graph retrieval
- 03Workflow episode construction
- 04Specialized training
- 05Task-level evaluation
- 06Policy-aware model routing
- 07Human-approved assistance
Operating matrix
Evidence moves through explicit controls.
| Subject | Input | Intelligence operation | Human / policy control | Output |
|---|---|---|---|---|
| Extraction | Specifications and submissions | Structure and normalize | Source evidence | Comparable fields |
| Retrieval | Project documents and memory | Semantic and relational search | Permission filter | Relevant precedent |
| Reasoning | Constraints and alternatives | Compare and recommend | Expert approval | Decision option |
| Learning | Correction and outcome | Dataset construction | Consent gate | New model evidence |
Design boundary
What the system will not pretend to be.
Not an AI skin
The product includes workflow, data, training, evaluation and runtime infrastructure.
Not artificial general intelligence
The software is specialized around bounded industrial tasks.
Not model authority
Evidence and human approval control every consequential recommendation.
Questions answered
Precise answers for technical evaluation.
Where does PDICON use AI?
AI is used for controlled extraction, retrieval, comparison, recommendation, training, evaluation and workload routing.
Is the product a chatbot?
No. Conversational interaction may be one interface, but the core product is workflow and model infrastructure.