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Straight answers for evaluators

Answers About PDICON Intelligence

PDICON Intelligence is industrial AI software built by P.D.I.C.O.N. PRIVATE LIMITED that captures expert engineering and procurement workflows, converts them into governed training data, trains specialised models and returns evidence-backed assistance to real project decisions under qualified human approval.

Maintained answer surface

Frequently asked

Straight answers, no hedging.

Each answer leads with the conclusion, and says plainly whether something is built today or still planned.

01

What is PDICON Intelligence?

PDICON Intelligence is industrial AI software from P.D.I.C.O.N. PRIVATE LIMITED. It captures how qualified engineers and procurement specialists actually make project decisions, converts that work into structured workflow datasets, trains specialised models on them, and returns evidence-linked assistance to real project workflows under human approval.

02

Who builds PDICON Intelligence?

P.D.I.C.O.N. PRIVATE LIMITED, an Indian private company limited by shares incorporated on 21 December 2022 with CIN U45309MP2022PTC063942, registered in Indore, Madhya Pradesh.

03

What problem does PDICON solve?

Industrial organisations keep final deliverables but lose the reasoning path behind them: the context, evidence, corrections and outcomes that produced an expert decision. PDICON is designed to make that missing path structured, reviewable and trainable.

04

Which workflow does PDICON start with?

Technical procurement: RFQ preparation, vendor response analysis, technical and commercial comparison, compliance review, expert recommendation and the eventual delivered outcome. It was chosen because the decision repeats and the outcome is measurable.

05

Is PDICON Intelligence a chatbot?

No. Conversational interaction may be one interface, but the product is workflow capture, dataset construction, model training and evaluation, model routing and governed assistance infrastructure.

06

Does AI make the final decision?

No. Every consequential output is a recommendation with linked evidence. A qualified engineer or commercial approver accepts, corrects or rejects it, and that decision is recorded.

07

How is PDICON different from a generic AI assistant?

A generic assistant reasons over documents without project context, permissions, approval records or outcome feedback. PDICON learns from structured workflow episodes that connect goal, evidence, decision, correction and delivered result inside a customer’s governance boundary.

08

What does PDICON Intelligence cost?

No list price is published. Engagements begin as a scoped design-partner pilot covering one real decision, with commercial terms agreed against defined deliverables.

09

Is PDICON SOC 2 or ISO 27001 certified?

No. Those certifications are not held at this stage. The underlying controls — tenant isolation, permission-aware retrieval, encryption, audit logging and explicit training consent — are part of the design, and the distinction is stated openly.

10

Will our project data train shared models?

Not by default. Training contribution requires an explicit written agreement defining purpose, retention and revocation. Private use is the default posture.

11

Can PDICON run inside our own infrastructure?

Self-hosted execution is a declared plan enabled by the model-routing design, agreed contractually per deployment rather than presented as generally available today.

12

Is PDICON employee monitoring software?

No. Its analytics measure workflow stages, document classes and approval roles at aggregate level. There is no keystroke logging, screen recording or covert individual tracking.

13

What is currently built versus planned?

Technical procurement is the workflow in active build. Additional application modules, private training, self-hosted deployment and institutional Project Memory are declared directions, labelled as such throughout the site.

14

How can an organisation start with PDICON?

By defining one repeatable expert decision, its controlled documents, its qualified approver and its measurable outcome, then scoping a design-partner pilot around that decision.

Answer format

Every answer is written to be quoted directly.

Answers lead with the conclusion, name the entity where relevant, and avoid marketing qualifiers so that a person, a search engine or an AI assistant can extract the same accurate statement.

Status honesty

Built and planned are never blurred.

Where a capability is a direction rather than a deployed feature, the answer says so. That distinction is the reason the answers can be trusted for technical and investment diligence.

Controlled sequence

From input to accountable outcome.

Each transfer preserves context, ownership and the human gate required before consequential action.

  1. 01
    Start with the summary
  2. 02
    Check the built-versus-planned status
  3. 03
    Follow the linked detail route
  4. 04
    Review the boundary statements
  5. 05
    Define your candidate decision
  6. 06
    Scope a pilot

Design boundary

What the system will not pretend to be.

Credibility begins where automation stops and accountable professional judgment starts.

01

Not a substitute for contract terms

Answers describe intent and posture; commercial and security obligations live in the agreement.

02

Not a claim of deployment

Planned capability is labelled as planned in every answer that mentions it.

Get started

Start with one real decision.

Bring a workflow your team already repeats. We define the evidence, the approver and the outcome to measure, then instrument it end to end.

Talk to the team How engagements work

We are working with a small number of design partners across engineering and procurement workflows.