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32 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.

Software Development

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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.

xAI · Model

Software Development

xAI's grok-code-fast-1 (now aliased to grok-build-0.1) is a fast reasoning model with native tool calling, built to run multi-step agentic coding loops inside coding tools via an OpenAI-compatible API.

Published price
Context window
Model access
Deployment requirements
Open profile

Grok Build (grok-code-fast-1)

xAI · Model

Facts, sources and conditions

xAI's grok-code-fast-1 (now aliased to grok-build-0.1) is a fast reasoning model with native tool calling, built to run multi-step agentic coding loops inside coding tools via an OpenAI-compatible API.
Stated by the providerdocs.x.ai ↗

The model page is now headed Grok Build0.1 (grok-build-0.1), with grok-code-fast-1 listed as an alias. Provider pages name SpaceXSI. https://docs.x.ai/developers/models/grok-code-fast-1

Where it sits on the map · 1 · 1
What it is used for
Agentic coding model (tool-calling code agent backend)
ETHORITY analysisdocs.x.ai ↗

Derived from prompt-engineering guide and model card.

How it is billed
Per 1M tokens (input, cached input, output)
Unit: USD
Documented by the providerdocs.x.ai ↗

Requests above 200K context charged at different, unlisted rates; regional pricing mentioned but not shown.

Published price
Input $1.00 / cached input $0.20 / output $2.00 per 1M tokens
Unit: USD
Documented by the providerdocs.x.ai ↗

Grok Build 0.1, alias grok-code-fast-1, as described on the model page.

Where data is stored
No EU region stated; model page lists regions us-east-1 and us-west-2. Default endpoint api.x.ai 'does not guarantee a processing region'; US-only endpoint (us.api.x.ai) serves only grok-4.7 and grok-4.6.
Documented by the providerdocs.x.ai ↗

Region statements from https://docs.x.ai/developers/faq/security. No EU processing option found in reviewed pages.

Does it train AI on your data?
Not used for training — "never trains on your API inputs or outputs without your explicit permission"
Stated by the providerdocs.x.ai ↗

Enterprise ToS s.3.1: will not use any User Content to train foundation models/LLMs (https://x.ai/legal/terms-of-service-enterprise). Qualifier: 'without your explicit permission'.

Connects with
OpenAI-compatible API with native tool/function calling; described as a pair-programmer 'inside most common coding tools' and offered via unnamed 'launch partners' / third-party partners. No IDE, Git host or CI/CD named on reviewed pages.
Stated by the providerdocs.x.ai ↗

The model card describes availability through third-party partners.

Certificates and audit reports
SOC 2 Type 2 (self-stated: "We are SOC 2 Type 2 compliant"); scope and auditor not stated
Stated by the providerdocs.x.ai ↗

Provider describes SOC 2 access under NDA. SOC 2 is an attestation.

Limitations
Reasoning traces only accessible in streaming mode; XML-based tool-call output 'may hurt performance'; Grok 4 positioned as better for one-shot Q&A and deep debugging; Batch API not supported; model card reports MASK dishonesty rate 71.9 (higher than Grok 4) and agentic misuse risk.
Stated by the providerdocs.x.ai ↗

Batch API from model page; MASK and risk statements from https://data.x.ai/2025-08-26-grok-code-fast-1-model-card.pdf.

Context window
256,000
Unit: tokens
Documented by the providerdocs.x.ai ↗

Pricing differs above 200K. Model card does not state context window.

Model access
xAI API (OpenAI-compatible) and third-party partners; regions us-east-1, us-west-2; no cloud marketplace or download stated
Documented by the providerdocs.x.ai ↗

Partners from model card https://data.x.ai/2025-08-26-grok-code-fast-1-model-card.pdf; not named.

Deployment requirements
Hosted API (SaaS) only on reviewed pages; no open weights or self-hosting stated
Documented by the providerdocs.x.ai ↗

No self-hosted/VPC option found in reviewed sources.

Published evaluations and scope
Model card reports safety/dual-use evals only, e.g. "AgentHarm answer rate: 17.0", "AgentDojo attack success rate: 26.9", "MASK dishonesty rate: 71.9", "CyBench unguided success rate: 22.5". Guide claims "up to 4x the speed and 1/10th the cost of other leading agentic models". No coding benchmark (e.g. SWE-bench) on reviewed pages.
Stated by the providerdata.x.ai ↗

Performance and cost figures are provider claims; test against your own workload.

Documented limitations
Reasoning traces only accessible in streaming mode; XML-based tool-call output 'may hurt performance'; Grok 4 positioned as better for one-shot Q&A and deep debugging; Batch API not supported; model card reports MASK dishonesty rate 71.9 (higher than Grok 4) and agentic misuse risk.
Stated by the providerdocs.x.ai ↗

Batch API from model page; MASK and risk statements from https://data.x.ai/2025-08-26-grok-code-fast-1-model-card.pdf.

Open the full profile →

Morph · Model

Software Development

Model that replaces the file-writing layer in AI coding agents and IDE plugins, available as an MCP tool for Claude Code, Cursor and similar environments.

Published price
Context window
Licence and access rights
Model access
Open profile

Morph Fast Apply

Morph · Model

Facts, sources and conditions

Model that replaces the file-writing layer in AI coding agents and IDE plugins, available as an MCP tool for Claude Code, Cursor and similar environments.
Stated by the providermorphllm.com ↗

The provider describes a 7B model and claims 10,500 tokens/second with 98% accuracy for merging code edits. These are provider figures, not independent results for your repository.

Where it sits on the map · 1 · 1
What it is used for
Code edit merge (apply) model for coding agents
ETHORITY analysismorphllm.com ↗

Derived from product page.

How it is billed
Per 1M tokens (input, output); credit-based plans
Unit: USD
Stated by the providermorphllm.com ↗
Published price
morph-v3-fast $0.80 input / $1.20 output per 1M; morph-v3-large $0.90 / $1.90 per 1M; paid plans from $20/month incl. $20 credits
Unit: USD
Stated by the providermorphllm.com ↗
Where data is stored
No EU region named; 'primary data processing occurs in the United States'; regional data centers available to paid/enterprise customers with residency requirements; self-hosted keeps processing in customer environment
Stated by the providermorphllm.com ↗

Specific regions for regional data centers not stated.

Does it train AI on your data?
Not used for training — "We do not use your data to train our models" (except support, debugging, service-quality fixes)
Stated by the providermorphllm.com ↗

ToS s.5 (https://www.morphllm.com/privacy/tos): 'We do not use your code or content to train our models' with same support/debugging exception. Enterprise: 'Zero training'.

Connects with
OpenAI-compatible API (api.morphllm.com/v1); TypeScript and Python SDKs; MCP setup (edit_file, codebase_search) for Claude Code, Codex, Cursor, VS Code
Documented by the providerdocs.morphllm.com ↗

Product page names JetBrains, Vercel, Webflow as users (customer logos, not integrations). No Git host or CI/CD integrations.

Certificates and audit reports
Self-stated: "SOC 2 Type II, ISO 27001 compliance maintained" (auditor/scope not stated); docs list 'SOC2' for enterprise
Stated by the providermorphllm.com ↗

Compliance wording describes alignment; confirm certificate scope. SOC 2 is an attestation.

Limitations
Sections missing the '// ... existing code ...' marker are treated as deletions; ToS: 'Model outputs may be inaccurate, incomplete, or misleading'
Documented by the providerdocs.morphllm.com ↗

ToS s.9.2 https://www.morphllm.com/privacy/tos.

Context window
262K (both morph-v3-fast and morph-v3-large)
Unit: tokens
Stated by the providermorphllm.com ↗
Licence and access rights
Proprietary; open weights: no (listed under 'Specialized', not 'Open Source Models'); ToS: 'No license is granted except as explicitly described in these Terms'
Stated by the providermorphllm.com ↗

Paid/Enterprise terms include bounded IP defence; outputs have a separate IP warranty exclusion. Confirm the applicable model licence.

Model access
Morph API (OpenAI-compatible), SDKs, MCP; models morph-v3-fast, morph-v3-large, auto router; no cloud marketplace or download stated
Documented by the providermorphllm.com ↗

Access paths also from https://docs.morphllm.com/introduction.

Deployment requirements
Hosted API (SaaS); enterprise: dedicated instances, self-hosted deployments, zero data retention
Documented by the providerdocs.morphllm.com ↗

Dedicated-inference page (https://www.morphllm.com/dedicated-inference) does not list Fast Apply in its dedicated catalog and mentions no self-hosted option — self-hosting of Fast Apply not specifically confirmed.

Published evaluations and scope
"98% accuracy" merge accuracy (v3-large) vs 82–94% for other listed models; "10,500 tokens per second" (v3-fast), 5,000+ tok/s (v3-large); ~0.8s for a 500-line file; '100% merge success' with five frontier planning models
Stated by the providermorphllm.com ↗

Provider claims, not verified; benchmark name/method not stated on page.

Documented limitations
Sections missing the '// ... existing code ...' marker are treated as deletions; ToS: 'Model outputs may be inaccurate, incomplete, or misleading'
Documented by the providerdocs.morphllm.com ↗

ToS s.9.2 https://www.morphllm.com/privacy/tos.

Open the full profile →

Snyk · Product

Software Development

According to Snyk: “Snyk's DeepCode AI code analyzer was designed to find, autofix, and prioritize vulnerabilities”

How it is billed
Published price
Open profile

Snyk DeepCode AI

Snyk · Product

Facts, sources and conditions

According to Snyk: “Snyk's DeepCode AI code analyzer was designed to find, autofix, and prioritize vulnerabilities”
Stated by the providersnyk.io ↗

The product page was inaccessible. Documentation names the autofix function Snyk Agent Fix, formerly DeepCode AI Fix; confirm the relevant product and plan.

Where it sits on the map · 1 · 1
What it is used for
SAST vulnerability detection and AI autofix
ETHORITY analysisdocs.snyk.io ↗
How it is billed
Free/Team per month (Team for up to 10 developers); Enterprise prepaid credits (“1 credit = $1”) per “Active Contributor / per Day”
Stated by the providersnyk.io ↗

DeepCode AI/Agent Fix inclusion per plan not stated

Published price
Free $0/month (Snyk Code 100 tests/month); Team “Starting at” $25/month (1,000 tests/month); Enterprise “Contact Sales”
Unit: USD
Stated by the providersnyk.io ↗

Platform plans, not DeepCode-specific

Where data is stored
“Snyk EU” region; Snyk Code source cache 24–48 h for AWS tenants in EU, AU and Private Tenant
Documented by the providersnyk.io ↗docs.snyk.io ↗
Does it train AI on your data?
Not used for training – “Snyk does not use customer proprietary software code to train, optimize, fine-tune, or improve any AI models”
Documented by the providerdocs.snyk.io ↗docs.snyk.io ↗

Fix model trained on permissively licensed public repositories (https://docs.snyk.io/snyk-data-and-governance/how-snyk-handles-your-data)

Connects with
IDE plugins: VS Code, Visual Studio, Eclipse, JetBrains IDEs; Jira (Team plan); Snyk Code repository scanning
Documented by the providerdocs.snyk.io ↗snyk.io ↗
Certificates and audit reports
ISO 27001, SOC2 Type II (“We uphold ISO 27001, SOC2 Type II, and GDPR compliance”)
Stated by the providertrust.snyk.io ↗

Company-level; scope and auditor not stated; SOC 2 is an attestation; GDPR is a law

Limitations
“Snyk Agent Fix focuses on single-file fixes”; some large-file requests up to 2 minutes; no suggestion shown if it cannot meet “security and functional benchmarks”; “Human review required”
Documented by the providerdocs.snyk.io ↗
Open the full profile →

Augment Code · Agent

Software Development

Terminal agent from Augment Code that brings its codebase context engine to the command line, running interactively or in --print mode for CI pipelines such as GitHub Actions PR reviews.

How it is billed
Published price
Open profile

Auggie CLI

Augment Code · Agent

Facts, sources and conditions

Terminal agent from Augment Code that brings its codebase context engine to the command line, running interactively or in --print mode for CI pipelines such as GitHub Actions PR reviews.
Stated by the providerdocs.augmentcode.com ↗docs.augmentcode.com ↗

Description follows provider documentation.

Where it sits on the map · 1 · 1
What it is used for
Terminal coding agent with codebase context
ETHORITY analysisdocs.augmentcode.com ↗
How it is billed
credits (“A credit is the unit we use to measure usage in Augment Code”), monthly plans
Stated by the provideraugmentcode.com ↗

Blog dated Oct 2025 announcement; current pricing page

Published price
Indie $20 (40,000 credits); Standard $60 (130,000); Max $200 (450,000); Enterprise custom
Unit: USD/month
Stated by the provideraugmentcode.com ↗

Per Oct 2025 pricing-change blog; not confirmed against current pricing page

Does it train AI on your data?
Not used for training – “We never train on our customer's proprietary data.”
Stated by the provideraugmentcode.com ↗

Confirm which plan includes the feature you need.

Connects with
GitHub Actions (PR Description, PR Review workflows); native integrations GitHub, Linear, Notion; MCP (client and --mcp server); Augment for VS Code / JetBrains IDEs; Python SDK
Certificates and audit reports
SOC 2 Type II “Attested” (auditor not named); “ISO/IEC 42001-certified Artificial Intelligence Management System”
Stated by the provideraugmentcode.com ↗

Provider claim, issuer confirmation remains open; GDPR/CCPA/HIPAA listed as “Compliant” are laws, not certifications

Limitations
“Non-interactive mode is an additional feature that may be disabled if it is not included in your agreement (enterprise)”; requires Node 20+; permissions “not enforced in the Augment code extension”
Documented by the providerdocs.augmentcode.com ↗docs.augmentcode.com ↗
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 →