Archlet Spark AI agents vs feld.ai KI-Agenten

Quick answer

Archlet Spark AI agents (Setup, Auction, Scenario, Summary and Proposal Analysis agents for sourcing) (Archlet (Archlet AG)) and feld.ai KI-Agenten (invoice-intake-to-booking and freight-invoice audit agents) (feld.ai (feld.ai GmbH)) are both listed in the Business operations category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

Archlet Spark AI agents (Setup, Auction, Scenario, Summary and Proposal Analysis agents for sourcing) (Archlet (Archlet AG)) and feld.ai KI-Agenten (invoice-intake-to-booking and freight-invoice audit agents) (feld.ai (feld.ai GmbH)) are both listed in the Business operations category of Agent Index. They share no framework tags in our dataset.

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Field Archlet Spark AI agents (Setup, Auction, Scenario, Summary and Proposal Analysis agents for sourcing)feld.ai KI-Agenten (invoice-intake-to-booking and freight-invoice audit agents)
Vendor Archlet (Archlet AG)feld.ai (feld.ai GmbH)
HQ Switzerland · EuropeAustria · Europe
Primary category Business operationsBusiness operations
Also listed in Business operationsBusiness operations
Summary Zurich sourcing and eAuction platform whose Spark agents build RFx questionnaires, bid sheets and cost formulas, analyse an RFQ and auto-generate the right auction setup, turn plain-language rules into award scenarios, summarise supplier bids and score proposals. Supplier invitations, reminders and data validation are automated around them.Austrian document-agent platform whose AI agents take incoming invoices (PDF, e-invoice, Swiss QR bill) through capture, master-data matching, mandatory-field and PO/delivery-note checks to a booking proposal in the ERP, passing clear cases straight through and sending only exceptions, with the reason and source location, to a person.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks process automation, workflow automation, agentic opsprocess automation, workflow automation, agentic ops
Pricing (as published) Not publishedBasic EUR 75, Team EUR 199, Professional EUR 400 per active user/month (net); model usage billed by consumption; setup extra; Enterprise on quote
Pricing model quotepublished-tiers
Primary source https://archlet.com/product/spark-aihttps://feld.ai/solutions/invoice-processing/
Last checked 2026-10-192026-10-20
Official site https://archlet.com/product/spark-aihttps://feld.ai/

FAQ (from this dataset)

What is the difference between Archlet Spark AI agents and feld.ai KI-Agenten?

Both are listed under Business operations. Shared tasks: process-automation, workflow-automation, agentic-ops. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Archlet Spark AI agents (Setup, Auction, Scenario, Summary and Proposal Analysis agents for sourcing): Not published feld.ai KI-Agenten (invoice-intake-to-booking and freight-invoice audit agents): Basic EUR 75, Team EUR 199, Professional EUR 400 per active user/month (net); model usage billed by consumption; setup extra; Enterprise on quote

Where are Archlet Spark AI agents and feld.ai KI-Agenten headquartered?

Archlet Spark AI agents (Setup, Auction, Scenario, Summary and Proposal Analysis agents for sourcing) publishes HQ in Switzerland. feld.ai KI-Agenten (invoice-intake-to-booking and freight-invoice audit agents) publishes HQ in Austria.

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

Also in this use case

Other verified listings that share a task tag or use-case group with Archlet Spark AI agents (Setup, Auction, Scenario, Summary and Proposal Analysis agents for sourcing) or feld.ai KI-Agenten (invoice-intake-to-booking and freight-invoice audit agents). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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