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Knowledge Agent for Product Management & Application Engineering

The right variant.
With standard and proof, in seconds.

The knowledge agent makes your product and sizing knowledge available: which variant for which application, with which material and which standard, backed by product data, past quotes and service cases. The same answer for product management, sales and trade.

Request POC → See the live demo
Consistent outward
POC free if it doesn't convince you.
then 10k on success  ·  How the entry works →
✓ Answer with standard and proof ✓ Bridge to sales and trade ✓ GDPR-compliant and auditable
01 · Problem

Product management becomes the bottleneck for queries.

The knowledge is there, in datasheets, standards and past quotes. The problem is access and consistency: every query is answered by whoever happens to be available.

●Wrong material variant in the quote
●Complaint in the field
●Application engineering becomes the help desk
●Sales and trade get different answers
●The reasoning behind decisions disappears
●Variant complexity grows, overview shrinks

A wrong material choice costs not only the complaint, but the customer's trust. And with staff turnover, the why behind the decisions disappears.

02 · Solution

A knowledge agent for variant, material and standard.

Imagine a colleague who knows every product, every variant and every sizing case. They recommend the right variant with material and standard, always with a source, and give the same reliable answer to product management, sales and trade.

What the agent does

  • suggest the right variant for medium and use case
  • name material and standard with a source
  • actively exclude unsuitable variants
  • include field feedback from service cases
  • ask about concentration or temperature instead of guessing

What stays with your people

  • final variant release
  • customer-specific special cases
  • the commercial decision
  • technical responsibility

The same product info flows straight on to your sales team and the technical trade. That is the bridge between manufacturer and distribution.

03 · Live demo

Ask like in a chat. Answers across multiple sources.

The agent links product data, standard and field feedback, and asks instead of guessing.

Getze Knowledge Agent·Application Engineering Agent
v1.0
APPLICATION ENGINEERING AGENT
Sizing: which variant, which material, which standard.
POC · small data package
YOU
Sales / Application engineering
A customer needs a drum pump for 30 percent sulfuric acid. Which ones can we offer?
GC
Application Engineering Agent · asks instead of guessing
Quick question: continuous duty or transfer only, and what temperature?
YOU
Sales / Application engineering
Transfer from the drum, around 40 degrees.
GC
Application Engineering Agent
Then GP-E2 in the PVDF premium variant. The GP-E1 in PP is not approved for acids, so exclude it. Wetted material PVDF, seal FKM. For the mechanical seal use SSiC/SSiC, because carbon/WC fails in dilute sulfuric acid. For a pressure device, check the PED classification.
Source: Product dossier GP-E2 · Service case 11 · Standard PED 2014/68/EU
Ask a question

See the full use case →

04 · Benefit by role

Relief where it is felt every day.

PRODUCT MANAGEMENT

No longer the funnel

Fewer recurring queries, faster variant decisions, the why behind decisions is preserved.

APPLICATION ENGINEERING

Sizing with proof

Material and variant with standard and field feedback instead of gut feeling, unsuitable options actively excluded.

SALES & TRADE

Consistent info

The same reliable product answer for everyone, faster to the quote, less dependency on individual experts.

MANAGEMENT

Fewer complaints

Wrong variants avoided earlier, variant knowledge stays in the house, even with staff turnover.

05 · Differentiation

Not just any chatbot. Your own product knowledge agent.

A general chatbot does not know your variants, standards and service cases. The difference is your own knowledge base.

General chatbot

  • does not know your variants and exclusions
  • no sources from your house
  • invents plausible-sounding answers
  • does not know your field feedback

Product knowledge agent

  • works on your product data and standards
  • answers with a source
  • does not guess, asks back or reports „not found"
  • links product, standard and service case
06 · Security & trust

The POC deliberately starts with a small data package.

For the entry, a small, bounded package of non-critical, approved documents is enough, for example one product group with datasheets and standards.

Datasheets Product dossiers Standards Sizing guidelines FAQ
07 · Pricing

Transparent. Risk first, number second.

The entry is risk-free. You only pay for the POC if it meets the criteria agreed up front. After that, the security tier you choose determines the build price.

Stage 1 · POC
€10,000
only on success, otherwise free

A bounded product group on your data, in days. Objective success criteria up front.

Stage 2 · Build
€20–35k
by security tier

EU cloud, Docker in-house or full on-prem. You choose the tier, that sets the price.

Stage 3 · Operation
€1.5–3k
per month, managed

Keep adding new variants and standards, optimize quality, extend to sales and trade.

The value comes from avoided complaints, faster quotes and consistent product info outward. The price follows the value, not the module.

08 · POC flow

Start small. Prove value. Then decide.

The POC runs on a small, bounded data package. No big IT project, no system migration.

01Choose product groupa clear starting point
02Define criteriamedium, material, standard, variant
03Set up the agentproduct dossiers automatically
04Test on real queriescheck success criteria
05Decide on rolloutonly after proven value

Discuss the POC →

09 · FAQ

What decision-makers rightly ask.

How does this connect to the trade?

The same product and sizing base your product management uses also supplies sales and technical trade with consistent information. The agent is the bridge between manufacturer and distribution.

What if the AI doesn't know something?

It does not guess. It asks for concentration, temperature or use case, or reports that the information was not found in the approved documents.

Do we have to hand over confidential data?

No. The POC starts with a small, bounded data package of non-critical, approved documents, for example one product group.

What does the entry cost?

The POC costs €10,000, and only if it meets the criteria agreed up front. If it doesn't convince you, it is free.

Next step

Start with one product group.

We test the value on a real sizing question from your portfolio, within one week, with a small data package. If the POC doesn't convince you, it costs nothing.

Book a 30-minute call →
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