white duck

LLM Agents & RAG · Document AIRosenheim, Germany

white duck works in Multi-Agent Systems for Developer Tools & APIs, with further work in Document AI.

Average rating: —
Reviews: 0
Profile coverage: 70%
Evidence percentile: P51

Profile updated Oct 30, 2026 · Request a correction

Document AILLM Agents & RAG2 categories

63Moderate evidenceStructured signal · 63/100

Primary category: LLM Agents & RAG
Team size: Not disclosed
Typical budget: Not disclosed
Primary industry: Technology, Software & Digital Infrastructure

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Overview

What white duck does best.

About

LLM Agents & RAG provider for Technology, Software & Digital Infrastructure

Its own website shows its strongest capability in Multi-Agent Systems within LLM Agents & RAG, alongside Code Generation Assistants and Retrieval-Augmented Generation. The industry it describes most is Developer Tools & APIs.

Service model·Service

Primary AI categoryLLM Agents & RAG

Benchmarked against 1,860 providers in this category.

Primary industryTechnology, Software & Digital Infrastructure

RankGlobal provider intelligence

Evidence report

How white duck compares with peers on evidence, reviews and coverage.

Analyst brief · Published

CategoryLLM Agents & RAG

Compared with1,860 providers

Signals3 signals

Status● Published

Evidence score

63/100

Moderate evidence51st percentile of 1,860 peers · peer median 70

Profile coverage70

Taxonomy density90

Review signal0

Peer benchmarkHow the profile comparesLLM Agents & RAG among 1,860 published providers

Average rating0.00 · median 4.89

Independent reviews0 · median 0

Profile completeness70% · median 70%

Taxonomy breadth10 · median 20

This profile Peer median

Signal radarMulti-dimensional evidence

This profile (percentile) Peer median

Industries1 industry

1industry

Technology, Software & Digital Infrastructure100%

Share of mapped industries, not share of work or revenue.

Evidence mixMapping grades

Direct · 10

100%Direct · 10 mappings

Grades across 10 mappings. Not a search ranking.

Analyst summary

What the evidence says

white duck presents as a moderate evidence profile for LLM Agents & RAG. It ranks in the 51st percentile of 1,860 published providers in LLM Agents & RAG, and no reviews on the profile yet.

Current positioning: P51 evidence quality · P20 industry breadth

Strongest signalsEvidence-backed strength in LLM Agents & RAG is the profile's clearest signal in the mapped taxonomy.

Best user fitTechnology, Software & Digital Infrastructure buyers evaluating LLM Agents & RAG across engagement sizes.

Confirm before engagementConfirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.

How this report is calculated →

Capabilities

AI capabilities.

AI category · 1 / 8

Document AI

—

DirectSupportedRelatedAdjacentOne of 603 providers in this category

Compare Document AI providers →

Technology used

None of the listed technologies is specific to Document AI.

Mapping source · https://whiteduck.de/dienstleistungen/platform-engineering — “Excellence vereint. Durch den Aufbau interner Entwicklerplattformen (IDPs) schaffen wir standardisierte, sichere und skalierbare Umgebungen, d”

Featured 8 of 8 capabilities, ranked by mapping grade then confidence.

Industry experience · 1 industry · 2 subindustries

Industries served.

1 Core0 Adjacent · discovery only

Technology, Software & Digital InfrastructureOther providers in Technology, Software & Digital Infrastructure →

Developer Tools & APIsDirect · Primary
90%
https://whiteduck.de/dienstleistungen/solution-assessment — “r Experience und Platform Engineering Platform Engineering & Internal Developer Platforms Sie möchten eine Internal Developer Platform aufbauen? Wir bewerten I”
Software & SaaSDirect
80%
https://whiteduck.de/event/nach-dem-hype-wie-isvs-agentic-ai-zum-produkt-machen — “Nach dem Hype: Wie ISVs Agentic AI zum Produkt machen - white duck Zum Inhalt springen Suche”

Client feedback

What clients say.

No independent reviews found for white duck yet.

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Methodology

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.

T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.RankGlobal trust center →

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Before you reach outKey facts, and three things to confirm once you're in touch.

Primary category: LLM Agents & RAG
Primary industry: Technology, Software & Digital Infrastructure
Typical budget: Not disclosed
Team size: Not disclosed

1Name the use caseSay which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.
2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
3Ask for a referenceRequest a client reference in Technology, Software & Digital Infrastructure — the strongest industry signal on this profile.