Chatty Duality
A governed gateway to cloud AI: text-in/text-out, deterministic validation and safer productive use of external models.
The last mile between enterprise work and cloud AI.
Most companies do not need AI hype. They need a controlled way to connect real work, real documents and real operational questions to AI without exposing critical know-how or losing governance.
Commercial thesisAI should augment industrial and technical teams. It should not become an unmanaged door through which confidential knowledge escapes.
Products built around the same governance logic.
A lightweight portfolio for operational continuity, controlled AI usage, supplier workflows, time governance and RFQ support.
Chatty Industrial
Operational knowledge capture, structured domain packages and controlled answer generation for technical teams.
Kenan EMP
Project, voucher and labor-hour traceability for teams that need to measure work before controlling it.
E-supply
A practical supplier communication and document portal for MiPyMEs that cannot afford large OEM-style platforms.
Excess-e
A liquidation path for slow-moving and obsolete inventory, aimed at turning excess into cashflow.
RFQ Me 2D
A concept for deriving auditable manufacturing drivers from 2D drawings: weight, machining hours, setup and scrap indicators.
What is IuAI SAFE?
IuAI SAFE means “I use AI safely.” It is the badge we grant to users and early adopters that use AI as an industrial-level augmenting tool, not as a hype toy.
It means AI is being used for productive purposes, with safer workflows, better control and stronger confidence for decision makers.
Why not just connect directly to an LLM?
Because productive environments need governance, not just answers.
| Area | Direct cloud AI use | Chatty approach |
|---|---|---|
| IP exposure | Users may paste sensitive information directly into a cloud model. | Local-first separation and curated payloads reduce unnecessary exposure. |
| Decision behavior | The model tends to answer even when context is weak. | Deterministic checks can fail closed or restrict the answer path. |
| Traceability | Hard to reconstruct why a specific output was generated. | Routing, validation and output governance are designed to be logged. |
Pilot model
A practical entry path for companies that want to test governed AI without committing to a massive transformation project.
01
Scope the pain
Define one operational workflow, one knowledge domain or one supplier/process pain.
02
Build the controlled path
Prepare the deterministic-first route, local content and governance rules.
03
Measure value
Evaluate response quality, cycle-time reduction, governance behavior and user adoption.
FAQs
Is Chatty a replacement for cloud AI?
No. Chatty is designed to make productive AI usage safer by governing what reaches cloud AI and how the response is handled.
Do you train on customer data?
The default position is local control and separation. Customer-specific implementation details are defined during pilot scoping.
Who is this for?
Industrial, operational, engineering, procurement and technical teams that need AI support without losing control of their know-how.
Start with a focused conversation.
Tell us the process, technical workflow or operational pain you want to improve. We will evaluate whether a governed pilot makes sense.
Corporate channels
General contactcontact@chattyincorporated.com
Sales / pilotssales@chattyincorporated.com
Commercial contactsales@chattyincorporated.com