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DATA
Here are the data tied to the files indicated by [FILENAME] that are relevant to answering questions about the Product Produktberatungs-Agent [ID: 168]:
[FILENAME]: noumetic.pdf, [VERSION]: 1.0, [ACCESS]: private, [PAGE]: 1 [TEXT]:
Company
| |
|---|---|
Legal name | Noumetic GmbH |
Location | Johann-Sigismund-Straße 12, 10711 Berlin, Germany |
Managing director | Lukas Schmidt |
Contact | hi@noumetic.com |
Website | https://noumetic.com |
Demo | https://cal.com/lukas-noumetic/founder-demo |
What Noumetic does: Noumetic enables AI product communication (KI-Produktkommunikation) – so companies are present
Promise: Be there when AI talks about your products. / Dabei sein, wenn KI über Ihre Produkte spricht.
How it gets there: A machine-readable product catalog and the agents that use it. The catalog is the means; success
Category: AI product communication / KI-Produktkommunikation.
AI systems such as ChatGPT, Claude, Gemini, Perplexity, and Copilot already discuss products – with or without the m
Without Noumetic | With Noumetic |
--- | --- |
Answers can come from outdated forums, incomplete information, guesses, or "contact the manufacturer" | Answers are
No reliable contact path back to the seller | Relevant inquiries can be routed back to the company |
Customers dig through PDFs, manuals, and comparison pages | Visitors ask questions in natural language and get rel
External AI systems may rely on indexed information that becomes outdated | AI agents can access current machine-r
Core message: Take back control of that customer interaction. Neither leave customers to dig through documents alone
Noumetic provides AI product communication across Sales, Support, and Internal use cases through specialized agents
Outcome — AI product communication
Reliable product dialogue with prospects, customers, partners, external AI systems, and internal teams – based on th
Fields — data governance and access control
Fields define which product knowledge may be accessed in which context.
Information in Noumetic can be classified according to whether it is available for Sales, Support, or Internal use.
Field | Access
--- | ---
Sales | Information that may be shared in sales and product-advice contexts, including communication with prospect
Support | Information that may be shared with existing customers in a support context.
Internal | The complete available knowledge base for employees of the company.
This separation makes it possible to keep sensitive or internal information restricted while still using the same un
[FILENAME]: noumetic.pdf, [VERSION]: 1.0, [ACCESS]: private, [PAGE]: 2 [TEXT]:
The Product Advice Agent (Produktberatungs-Agent) advises website visitors in dialogue, answers product questions, h
It can be embedded on the customer's website as:
• a chat widget
an iframe
When a prospect shows relevant interest, the agent aims to establish a connection with the company's sales team. It
The chat widget can be visually customized to fit the company's branding and website.
The Account Agent provides answers in the context of a specific customer, partner, or account.
Access is login-protected and tied to the relevant customer or partner account, for example through an account number
The Account Agent can also access account-specific data that is only available within that account context. This all
The agent can also help identify relevant up-selling and cross-selling opportunities based on the account context.
The Support Agent provides product-specific support and helps customers answer questions about the products they use
It can be accessed through:
• a chat widget
an iframe
A customer can therefore scan a QR code on a physical product and immediately access support for that product.
The Support Agent aims to resolve the customer's issue without unnecessary escalation. If human support is required,
The Connector Agent makes the company's product knowledge available to external AI systems while keeping the underl
It can be connected via MCP to AI systems such as ChatGPT, Claude, and other compatible AI clients.
This allows those systems to retrieve reliable product information directly from Noumetic instead of relying only on
The Internal Operations Agent makes the company's product knowledge available to its own employees.
Employees access it through a separate in-app chat.
Because it is an internal context, the agent can work with the company's full available knowledge base, including in
Noumetic also makes product information available to AI agents that browse the web.
These agents can access a dedicated machine-readable version of the company's product catalog.
The catalog is browsable rather than indexable. This means an AI agent accesses the current product information when
[FILENAME]: noumetic.pdf, [VERSION]: 1.0, [ACCESS]: private, [PAGE]: 3 [TEXT]:
Companies can see what information AI agents searched for, providing insight into how external AI systems interact with
If a human visitor opens the machine-readable catalog instead of an AI agent, the visitor is routed to a conversatio
All Noumetic agents use the same structured product knowledge.
Companies provide information such as:
• product specifications
• pricing
• features
PDFs
• manuals and documentation
• existing product data
• historical support tickets
Noumetic structures this information into a product ontology and knowledge base that the agents can query.
Historical support tickets can be used to incorporate existing support knowledge, previously encountered problems, a
Every paid implementation includes a mandatory setup and onboarding process.
The customer provides the relevant product and company data, and Noumetic handles the setup and implementation.
Setup and onboarding are provided for an additional fee.
The objective is that the customer provides the necessary source information while Noumetic handles the work require
A typical implementation follows three steps:
1. Provide product data – The customer provides relevant specifications, pricing, features, documentation, historica
2. Product ontology and setup – Noumetic structures the information into the knowledge base and configures the requi
3. Live AI product communication – The agents become available in the selected channels and can begin answering prod
Companies can try Noumetic for free by choosing one of two options:
• Product Advice Agent for one product line
• Support Agent for one product
After the request is submitted, Noumetic contacts the company and explains how the free agent can be accessed.
[FILENAME]: noumetic.pdf, [VERSION]: 1.0, [ACCESS]: private, [PAGE]: 4 [TEXT]:
The free option does not include both agents at the same time; the company chooses either Product Advice or Product
Noumetic offers three standard paid plans:
• Starter
• Basic
• Pro
The main difference between these plans is the number of included credits.
Higher plans include more credits and provide a lower effective cost per credit.
For customers whose requirements go beyond the Pro plan, Noumetic also offers a custom Enterprise plan tailored to the Paid implementations also include the mandatory setup and onboarding process, which is charged separately.
Noumetic is GDPR / DSGVO compliant.
Noumetic also helps customers with the necessary documentation required for the implementation.
Customer-facing implementations can be customized to fit the company's brand and website.
For example, the chat widget can be visually customized.
The Product Advice Agent aims to turn relevant product interest into a connection with the sales team.
When appropriate, it can ask the prospect for:
an email address
• consent to be contacted
Leads can be pushed into:
HubSpot
Salesforce
This allows the company's sales team to continue the conversation in its existing sales workflow.
Support tickets
The Support Agent aims to answer the customer's question directly and avoid unnecessary support escalation.
[FILENAME]: noumetic.pdf, [VERSION]: 1.0, [ACCESS]: private, [PAGE]: 5 [TEXT]:
When human support is required, it can create a ticket and hand the issue over without making the customer repeat th
Support tickets generally remain within Noumetic.
Companies can see the tickets and inquiries created through their agents.
These interactions can be analyzed to understand:
• recurring customer questions
common support issues
• product interest
• frequently requested information
• patterns across customer interactions
Companies can also create reports from this data to generate further insights.
In addition, Noumetic provides visibility into what external AI agents search for when they access the machine-reada
Data collected in Noumetic can be exported as CSV.
This allows customers to analyze the information externally or use it in other systems and workflows.
Illustrative product catalogs appear throughout the Noumetic landing page to demonstrate how AI product communicatio
These catalogs are demonstration examples and are not Noumetic's own products.
The examples include areas such as industrial automation, laboratory instruments, and business software, but Noumeti
Noumetic is designed for product companies whose products are already being discussed, researched, compared, sold, o
It is especially relevant for companies that have substantial product knowledge distributed across specifications, d