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29 matching online profiles

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485 catalogue entries. Counts show membership in each category; entries can belong to several categories.

24 business areas

8 data types

6 technology layers

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About this map and its artwork

The map shows a selection of offerings; open a topic area to see all of them. Offerings with the most documented facts appear first, then in alphabetical order. The order shows only how much is documented; check the profile to see whether an offering fits you.

Catalogue snapshot: . Offerings as of 23 Oct 2026. Every fact shows its source and date; before you decide, check whether it applies to your use.

Good AI Prism artwork © 2026 ETHORITY & STEN.AI LLC, by Sten Franke & ETHORITY®. CC BY-NC-ND 4.0. ETHORITY additionally permits unchanged editorial and press use with credit. Commercial licences: ETHORITY. Data, software and third-party logos and trademarks are not covered.

GOOD AI PRISM · ETHORITY'S MAP OF THE AI MARKETSten Franke & ETHORITY®

Put AI to work, with evidence.

Documents, Workflow & Agents

More sources and connections
Browse offerings · Cards and List

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29 matching entries

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See how AI costs are calculated →

Where a provider is based says nothing about where it stores your data. Open weights do not always come with an open-source licence. Whether Annex III applies depends on how you use the system.

What the source marks mean

Each mark shows what kind of source backs a fact. Open the fact to read the source, the date it was checked and any conditions.

Documented by the provider
The provider's own documentation supports this fact, for the product, plan and date stated.
Stated by the provider
The provider says this, for example on a marketing page. Read the linked source and its conditions before you rely on it.
ETHORITY analysis
ETHORITY's assessment, based on the linked sources.
Independent source
An independent source supports this one fact, within the scope stated. Check the other facts separately.

Figures marked 'Scenario' are calculated from stated assumptions. Results measured in practice are shown separately.

LangGenius (Dify) · Platform

Documents, Workflow & Agents

Dify is a source-available platform for visually building LLM chat apps, agents and workflows with knowledge bases, Marketplace model and tool plugins, human-input pause nodes, run cloud-hosted or self-hosted.

How it is billed
Where data is stored
Open profile

Dify

LangGenius (Dify) · Platform

Facts, sources and conditions

Dify is a source-available platform for visually building LLM chat apps, agents and workflows with knowledge bases, Marketplace model and tool plugins, human-input pause nodes, run cloud-hosted or self-hosted.
Stated by the providerdify.ai ↗
Where it sits on the map · 1 · 1
What it is used for
Build and run LLM agents and workflows (cloud or self-hosted)
ETHORITY analysisdify.ai ↗

Task classification by ETHORITY; match it to your intended use.

How it is billed
Per workspace per month (monthly or annual), with message-credit, member, app and knowledge quotas
Stated by the providerdify.ai ↗

Enterprise: contact sales, no price

Published price
Sandbox free (200 message credits); Professional $59/workspace/month or $590/year (3 members, 5,000 credits/month); Team $159/workspace/month or $1,590/year (50 members, 10,000 credits/month); taxes extra
Unit: USD (shown as $)
Stated by the providerdify.ai ↗

currency code not named on page

Where data is stored
Dify Cloud region not named ("in our managed cloud region"); Enterprise: Dify-managed single-tenant cluster "in your region" or customer-managed in own AWS/GCP/Azure account; privacy policy lists processing in US, Australia, Canada, China, EEA and UK
Stated by the providerdify.ai ↗

Cloud wording from https://dify.ai/pricing/dify-cloud; processing locations from https://dify.ai/legal/privacy-policy (website servers 'located in the United States'). No named EU region for Dify Cloud

Does it train AI on your data?
Not used for training: "We do not train AI models ourselves, and we will not use your AI interaction data for model training."
Stated by the providerdify.ai ↗

With own API key, training depends on customer's agreement with that model provider; sub-processors 'prohibited from using your data for model training'

Connects with
Model providers, tools, data sources and MCP integrations installable from the Dify Marketplace or self-built
Stated by the providerdify.ai ↗
Certificates and audit reports
SOC 2 Type II (attestation, auditor Sensiba); ISO 27001:2022 (assessed by Johanson); scope boundary not stated
Stated by the providerdify.ai ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. The trust centre names SOC 2 Type 1; the March 2026 blog and enterprise page name Type II. Confirm the applicable report.

Limitations
Human Input web-app delivery not available in Trigger-started workflows; request closes after first response; default 3-day timeout; upload caps (e.g. 15 MB documents); Sandbox log history 30 days
Documented by the providerdocs.dify.ai ↗

plan limits from https://dify.ai/pricing/dify-cloud

Open the full profile →

Dust · Platform

Documents, Workflow & Agents

Dust lets company teams build shared AI agents over connected knowledge sources and tools, choosing among 20+ models per task, with stake-level approvals before agents take actions like sending email.

How it is billed
Where data is stored
Open profile

Dust

Dust · Platform

Facts, sources and conditions

Dust lets company teams build shared AI agents over connected knowledge sources and tools, choosing among 20+ models per task, with stake-level approvals before agents take actions like sending email.
Stated by the providerdust.tt ↗

Gmail action approvals follow the tool guide; the model count follows the pricing page. Confirm settings for each enabled tool.

Where it sits on the map · 1 · 1
What it is used for
Build team AI agents over company knowledge and tools
ETHORITY analysisdust.tt ↗

Task classification by ETHORITY; match it to your intended use.

How it is billed
Per seat per month with monthly credit allowance (Pro 8,000, Max 40,000 credits per seat/month); programmatic usage $0.01 per credit; Enterprise workspace-pooled credits
Stated by the providerdust.tt ↗

Credits reset each billing period, no rollover; overage capped by admin

Published price
Free €0 (500 lifetime credits); Pro €24 per seat/month billed yearly; Max €120 per seat/month billed yearly; excl. VAT; Enterprise on quote
Unit: EUR per seat per month
Stated by the providerdust.tt ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Business plans for teams up to 100 people; yearly toggle 'Save 20%'. Page meta description gives $24/$120 (currency inconsistency on same page)

Where data is stored
"Host in the EU or US to meet your regulatory needs"; US and EU data residency on Business and Enterprise; single-tenant deployment Enterprise only
Stated by the providerdust.tt ↗

Open · ETHORITY investigates the applicable cloud region and hosting provider.

Does it train AI on your data?
Not used for training: "Your data is never used to train models."; "No data is stored by third-party model providers."
Stated by the providerdust.tt ↗

Enterprise page: "Zero model training on your data"

Connects with
Connections, MCP servers, Open API; named: Notion, Slack, Salesforce, GitHub, Gmail, Outlook, Zendesk; homepage "70+ connectors"; Business plan up to 3 connectors and 5 remote MCP servers, Enterprise unlimited
Stated by the providerdust.tt ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Inconsistent counts across own pages: pricing 'Connectors to 20+ sources' vs homepage '70+ connectors' (https://dust.tt/)

Certificates and audit reports
Provider claim: "GDPR Compliant & SOC2 Type II Certified. Enables HIPAA compliance." No auditor, scope or report period on pages read
Stated by the providerdust.tt ↗

SOC 2 is an attestation; GDPR and HIPAA are laws. Confirm the report's scope and period.

Limitations
"Dust is not designed for bulk email campaigns"; "send_mail is disabled by default on existing workspaces"; Business plan capped at 3 connectors, 5 Spaces, teams up to 100
Stated by the providerdocs.dust.tt ↗

Plan caps from https://dust.tt/home/pricing

Open the full profile →

Relevance AI · Platform

Documents, Workflow & Agents

According to Relevance AI: “Subject-matter experts can use Relevance to design powerful AI agents without relying on developer resources.”

How it is billed
Where data is stored
Open profile

Relevance AI

Relevance AI · Platform

Facts, sources and conditions

According to Relevance AI: “Subject-matter experts can use Relevance to design powerful AI agents without relying on developer resources.”
Stated by the providerrelevanceai.com ↗
Where it sits on the map · 1 · 1
What it is used for
No-code builder for AI agents and multi-agent workforces
ETHORITY analysisrelevanceai.com ↗

Task classification by ETHORITY; match it to your intended use.

How it is billed
Subscription per plan with monthly Actions and Vendor Credits allowance; top-ups $80 per 1,000 Actions and $20 per 10,000 Vendor Credits; BYOK skips Vendor Credits
Documented by the providerrelevanceai.com ↗

Base-plan Actions reset at renewal; purchased top-ups roll over

Published price
Pro $29/month ($19/month annual), 2,500 Actions/month, 2 build users; Team $349/month ($234/month annual), 7,000 Actions/month, 5 build users, 45 end users; Enterprise custom
Unit: USD per month
Documented by the providerrelevanceai.com ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Contradictions: website pricing page https://relevanceai.com/pricing shows only Enterprise ('Talk to sales'); docs pricing gives Vendor Credits as $20/$70 per month in plan details but 10,000/35,000 per month in comparison table; plans doc example gives Pro 3,000 Vendor Credits

Where data is stored
Regions: Australia (Sydney), US (N. Virginia), EU/UK (London); region "chosen at signup" and cannot be changed after org creation
Documented by the providerrelevanceai.com ↗

EU option is London (UK), not an EU-27 region named; primary cloud host not named

Does it train AI on your data?
Not used for training: company does not train any models on customer data; metadata may be used to improve features like search
Documented by the providerrelevanceai.com ↗

Exception stated for partnership agreements. OpenAI/Anthropic listed as not logging or training on data, DPAs available

Connects with
"2,000+ Integrations" (pricing); "1,000+ apps" (enterprise page); Slack and email escalation tools; OTEL & Delta Share export
Stated by the providerrelevanceai.com ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Count inconsistent between own pages (https://relevanceai.com/enterprise says 1,000+)

Certificates and audit reports
Provider claim: "SOC2 Type II compliant"; reports available to Enterprise customers under NDA; auditor and period not named
Documented by the providerrelevanceai.com ↗

SOC 2 is an attestation; GDPR is a law. Confirm scope and issuer of any certificate.

Limitations
Data region cannot be changed after org creation; Free plan "retired for new signups and existing accounts"; retention deletion "is permanent and cannot be undone"; approval tasks "remain in a pending state until approved or rejected"
Documented by the providerrelevanceai.com ↗

Collated from security, pricing (https://relevanceai.com/docs/get-started/pricing), data-retention and approvals docs

Open the full profile →

Workato · Agent

Documents, Workflow & Agents

According to Workato: “Workato Genies go beyond traditional AI agents – they can be customized with unique KPIs”

How it is billed
Where data is stored
Open profile

Workato Genies

Workato · Agent

Facts, sources and conditions

According to Workato: “Workato Genies go beyond traditional AI agents – they can be customized with unique KPIs”
Stated by the providerworkato.com ↗
Where it sits on the map · 1 · 1
What it is used for
Prebuilt and custom AI agents on an integration platform
ETHORITY analysisdocs.workato.com ↗

Task classification by ETHORITY; match it to your intended use.

How it is billed
"Workato measures Genie usage in Genie actions"; each input prompt = one Genie action; recipe steps billed as Tasks, IDP as Pages. Self-service plans bill in Workato credits
Documented by the providerdocs.workato.com ↗

Two unit systems in own docs: Genie actions (Agent Studio pricing) vs single 'Workato credits' unit (https://docs.workato.com/en/pricing/self-service/self-service). FAQ: Genies "available to customers on specific pricing plans"

Published price
Workato Free: one-time 50,000 credits; Workato Pro: $75 (2,500 credits/month), $100 (3,500), $275 (10,000), $780 (30,000), $1,275 (50,000) per month; Enterprise priced separately
Unit: USD per month
Documented by the providerdocs.workato.com ↗

Self-service page does not name Genies/Agent Studio explicitly; currency shown as '$' only; Genie pricing for Enterprise not published

Where data is stored
Genies available in US, EU, AU, SG, JP data centers; Genie models hosted in US, EU, APAC regions and respect residency "where possible"; EU data center: "All LLM calls and data processing remain in-region"
Documented by the providerdocs.workato.com ↗

EU quote from https://www.workato.com/product-hub/changelog/workato-ai-features-now-available-in-eu-data-center/ (Oct 2025), which adds "existing recipes continue on US models". Hedge 'where possible' vs 'remain in-region' differs between pages. EU city/cloud provider not named

Does it train AI on your data?
Not used for training: "AI by Workato doesn't use user data for training purposes."
Documented by the providerdocs.workato.com ↗

Statement is on the AI by Workato connector page; Genie-specific docs (FAQ, data page) do not address training

Connects with
Genies use skills built from Workato recipes and app connectors, MCP servers; chat via Slack and Microsoft Teams; Agent Studio Developer API
Documented by the providerdocs.workato.com ↗

Slack and Teams support follows the Agent Studio documentation.

Certificates and audit reports
Listed by provider: ISO 27001, ISO 27701, ISO 42001, SOC 1 Type II, SOC 2 Type II, SOC 3, PCI-DSS v4.0.1 Level 1 (QSA), IRAP (PROTECTED), NIST 800-171A r2 (C3PAO); SOC reports under NDA
Documented by the providerdocs.workato.com ↗

Company-level scope; confirm Genie-specific coverage. SOC reports are attestations.

Limitations
Files capped at 25MB, video not supported; knowledge search returns top 10 documents in 8,000-character chunks; semantic search weak on JSON/CSV; "LLMs can make arithmetic errors"; skill responses capped at 250 KB; "Genies requiring Business approvals can't process autonomous tasks"
Documented by the providerdocs.workato.com ↗

AI by Workato not available in CN data center

Open the full profile →
Open the full map →
Decision lenses

Filters highlight matching offerings. Where a provider is based and where it stores your data can differ.

Talk to STENFree · 15-minute orientation call →

Five ways to start, from €195 net.

All products →

05ETHORITY RESEARCH · MARKET STUDY 2026/27

Know what the AI market offers before you choose.

961 AI offerings. One map. Decide now what you will use in 2027. · EN · v2.6

Global edition · English · version 2.6

961 AI offerings. One map. Decide now what you will use in 2027.

How companies worldwide adopt AI, what 961 offerings promise and document, and how to run AI once you have chosen it. Every figure has a source.

27 Oct 2026

06ANALYSIS FOR YOUR NEXT DECISION

Three analyses for your next AI decision.

Try the numbers. See what changes.

Seven tools for your next decision. Modelled scenarios, with assumptions you can inspect.

How we work: Discover, Create, Run, Improve, Grow

02HOW ETHORITY WORKS WITH YOU

From the first idea to AI that runs every day.

You find the right AI, decide, put it into operation and adapt it as conditions change. ETHORITY works in a loop of five steps, and each step ends with a clear decision.

  1. Discover

    Find where AI can help your business and what the market offers for it.

    Live market exploration
  2. Create

    Choose the option and build the solution, including its costs, data and responsibilities.

    Services · by agreement
  3. Run

    Operate the system day to day, with named owners and agreed checks.

    Workspace · demonstration
  4. Improve

    Measure the result against the starting point and adjust what does not work.

    Review services · by agreement
  5. Grow

    Extend what works to more teams, sites or countries.

    Provider services · network planned

Question · Question · Who is responsible for each AI use, the proof that it works and the next decision?

Scenario: this is how an AI system looks with named owners and proof of results. Services by agreement.

See this scenario in full →
Open the AI Estate software preview →

Effective — AI supports a concrete goal with results you can check.

Efficient — effort, cost and human rework are counted.

Economic — a technical gain is tested for its real business value.

Responsible — people, rights, safety and ethical consequences are part of the decision. Compliance is part of it; responsibility goes further.

AI needs rules. Five questions to set them.

AI governance means deciding who is responsible for an AI system, what it may do and how you check it. Scenario: an AI agent – software that carries out tasks on its own within set permissions – answers customer requests and triggers refunds. Five questions make it safe and worth the effort.

  1. Responsibility: who decides?

    One named person owns the agent; finance owns the refund budget, IT the system connections. AI Governance Setup defines roles, decision rights and the approval path.

  2. Authority: what may it do alone?

    The agent sees orders and delivery status and refunds up to a limit your finance team sets. Profiles and Compare show what each agent product can do and how it handles your data.

  3. Evidence: what does each answer rest on?

    Answers on prices and return rules name their source; every refund is recorded with reason, amount and approval. The AI Trust Record checks one system in ten working days.

  4. Control: when does a person step in?

    A person reviews refunds above the limit, complaints and unclear cases; the head of customer service approves exceptions. The AI Trust Pilot tests this for six weeks with a stop rule.

  5. Benefit: does the result improve?

    Measure answers your team accepts as correct, complaints and rework time, before and during the pilot. The AI calculators show cost per accepted answer and the real value of freed time.

Discuss your case with Sten Franke →
Explore all seven services: scope, process and prices

03KNOW BEFORE YOU INVEST

Start with your next decision.

Two fixed-price services give you a clear answer before you commit a larger budget: where your company stands with AI, and which duties the EU AI Act places on you.

People examining an AI readiness map.

AI Readiness & Maturity Check

Where you stand with AI: one workshop day, then a written assessment.

€3,500 one-time net

One workshop day + report · up to 8 people

You get a scored maturity profile with written reasoning, your five most valuable AI uses, ranked by value, feasibility and risk, and a draft 90-day plan for leadership review.

A team working through an AI governance pathway.

AI Act Readiness Sprint

Know which AI you use and what the EU AI Act requires of you.

From €6,900 one-time net

2–3 weeks · packages below

Mittelstand €6,900 · 2 weeks · up to 15 AI usesEnterprise €19,500 · 3 weeks · up to 40 systems

The sprint prepares the facts for your legal team. Legal opinions and conformity assessments (the formal check some high-risk AI systems need) are scoped separately with specialists where needed.

04WAYS TO WORK WITH ETHORITY

We train your team and set up AI with clear responsibilities.

Five services cover the work after the first decision: training, rules and responsibilities, a review of the AI you use, a business case for a large investment and monthly support. Each offer page lists scope, price and terms.

People learning and applying AI together.

AI Literacy & Adoption ↗

Your team learns to use AI well and safely in daily work.

From €2,400 one-time net

Half-day executive workshop or one-day team training

People connecting responsibilities and evidence.

AI Governance Setup ↗

You set the rules for AI: who decides, who checks and when.

From €19,500 one-time net

4–8 weeks

People examining alternative paths to a business decision.

AI Opportunity Case ↗

Know what would make a large AI investment pay, with every assumption written down.

Priced after scoping net

4–6 weeks

A team reviewing ongoing work and decisions.

AI Governance Retainer ↗

Monthly support that keeps your AI rules and decisions up to date.

From €2,500 / month net

Monthly · six-month minimum

Net prices plus VAT where applicable. Fixed-price packages: date and place by agreement; for the AI Opportunity Case, scope by agreement. The monthly AI Governance Retainer runs for at least six months. Each offer page lists its package terms.

See all eight areas of ETHORITY's work

07WHO LEADS YOUR PROJECT

Led by Sten. Built around your challenge.

ETHORITY combines research on the AI market, the design of AI systems and hands-on work in your company. In every project a named person is responsible for each decision, and every result is backed by sources.

An illustrated ETHORITY workplace and city setting.
Sten Franke

Sten Franke

Founder & CEO · AI Transformation Architect

Sten Franke designs and builds AI systems, from model testing and cloud setup to the interfaces people use. He connects business decisions, software architecture and practical implementation.

sten@ethority.ai

Discuss your question with Sten Franke

Request a call → About ETHORITY and its founder →

08REFERENCES & PARTNERS

Historic references and partners of ETHORITY

See all historical references →
People exploring a connected AI market map.

09FOR AI PROVIDERS

Show buyers what your AI offering does.

Your profile shows buyers prices, data terms and evidence at a glance. Request a dated profile, documentation of your sources or a presentation of several products.

Paid support is separate from editorial admission, ranking and verification.

Profile Plus€499 / year netProvider PortfolioFrom €5,990 / year netIndependent Evidence ProgrammeFrom €2,990 / year net

Provider services · scope and delivery by agreement.

Request a provider profile →