Best AI Advisory Services

Tensorway vs appliedAI: full comparison for 2026

Quick verdict

Tensorway (4.5/5) edges ahead of appliedAI (4.4/5) overall. Tensorway is the better choice for COOs and CFOs wanting a vendor-neutral AI plan. appliedAI is the stronger option for german industrial firms seeking neutral AI guidance. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.

Tensorway vs appliedAI: head-to-head summary

Criterion Tensorway appliedAI
Founded 2019 2017
HQ Alicante, Spain Munich, Germany
Team size 50+ ~120
Rating 4.5 / 5 4.4 / 5
Primary differentiator Two-interview method per use case, a written drop list, and a roadmap another vendor can implement Advice from a German AI ecosystem with a non-profit institute focused on AI Act practice
Pricing model Price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope Project and program fees; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack EU AI Act, GDPR, DORA EU AI Act, GDPR, ISO/IEC 42001
Industries served Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing Manufacturing, Automotive, Energy, Financial services, Public sector

Tensorway vs appliedAI: overview

Tensorway

Tensorway is a Spanish AI firm founded in 2019 in Alicante, with a team of more than 50 and advisers who come from a software engineering lineage stretching back more than twenty years. Each candidate use case gets two interviews: one with the person who proposed it and one with the person who actually does the work, since their accounts often differ. Then the data behind each case is traced, costed, and classified under the EU AI Act. The output includes run cost at expected volume, a build sequence with cost per stage, and a list of use cases to drop, each with a reason. The roadmap is written so an internal team or another vendor can implement it, and Tensorway will say so when the honest answer is not to build AI at all. Among its anonymized clients is a German enterprise that used its help to organize more than 200 EU policies (per company website; independently unverifiable).

appliedAI

appliedAI grew out of UnternehmerTUM, the entrepreneurship center linked to the Technical University of Munich, in 2017, and has run as a joint venture with the Innovation Park Artificial Intelligence in Heilbronn since 2022. It has two parts: appliedAI Initiative GmbH, which advises and trains companies, and the non-profit appliedAI Institute for Europe, which publishes on AI regulation and how to put the AI Act into practice. Directory estimates put the company at around 120 people. German industrial firms use it for readiness, governance, and training more than for large builds.

Services and capabilities: Tensorway vs appliedAI

Capability Tensorway appliedAI
Readiness assessment ✓ ✓
Use-case prioritization ✓ ✓
TCO / ROI modeling ✓ ✗
AI governance & EU AI Act ✓ ✓
Build vs. buy advice ✓ ✗
Independent audit or assurance ✗ ✗
Roadmap any vendor can implement ✓ ✗
Delivery capability after advice ✓ ✗

Frameworks and platforms: Tensorway vs appliedAI

Framework / platform Tensorway appliedAI
EU AI Act ✓ ✓
GDPR ✓ ✓
DORA ✓ N/A
NIST AI RMF ✓ N/A
ISO/IEC 42001 ✓ ✓
Azure N/A N/A
AWS N/A N/A
Google Cloud N/A N/A

Pricing comparison: Tensorway vs appliedAI

Criterion Tensorway appliedAI
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed-scope assessment, Multi-use-case advisory, Ongoing advisory Fixed-scope assessment, Multi-use-case advisory, Ongoing advisory
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Tensorway vs appliedAI

Dimension Tensorway appliedAI
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Fintech, Insurance Manufacturing, Automotive, Energy
Best use cases Deciding which AI use cases are worth funding, and which to drop., EU AI Act classification of candidate use cases before any build. AI readiness and governance for a German manufacturer., Interpreting AI Act obligations for industrial AI systems.
Typical project type Fixed-scope assessment Fixed-scope assessment

Tensorway vs appliedAI: pros and cons

Tensorway
+ Interviews both the sponsor and the person doing the task, which exposes use cases that only look good on slides
+ Delivers a written list of ideas to drop, with reasons, alongside the ones to fund
+ Roadmaps are written for any implementer, so the advice isn't a sales funnel
+ Prices each stage and the run cost at expected volume
+ Covers EU AI Act classification, GDPR automated-decision rules, and DORA for financial firms
- Gives no standard timeline, so a multi-team scope can run longer than a buyer expects
- A bench of 50+ is small next to the Big Four for multi-country governance programs
- Advises on ISO/IEC 42001 and NIST AI RMF but holds no certification itself
- Recognition logos on its site come without detail you can verify
appliedAI
+ No platform or large delivery business to sell, which keeps advice neutral
+ Non-profit institute publishes practical guidance on applying the AI Act
+ Training programs for staff at many levels
+ Close links to German industry and research
- Focused on Germany, with less reach elsewhere
- Joint-venture structure is unusual, so ask which entity you contract with
- Not a delivery partner for large builds

Who should choose Tensorway?

A typical fit: deciding which AI use cases are worth funding, and which to drop.

Two-interview method per use case, a written drop list, and a roadmap another vendor can implement. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing.

Who should choose appliedAI?

A typical fit: AI readiness and governance for a German manufacturer.

Advice from a German AI ecosystem with a non-profit institute focused on AI Act practice. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Automotive, Energy, Financial services, Public sector.

Decision matrix: Tensorway vs appliedAI

Your situation Recommended choice
You want advice with no build contract attached Both keep advice separable from delivery
Finance needs run costs before approving anything Tensorway
Some of your use cases may be high-risk under the EU AI Act Both cover AI Act classification
You need an outside check on a system already built Neither; use a dedicated auditor
You want the same firm to build what it recommends Tensorway
Your budget is at the lower end Compare: Tensorway (Not disclosed) vs appliedAI (Not disclosed)
You need advisers in many countries at once appliedAI

Use case fit: Tensorway vs appliedAI

Use case Tensorway fit appliedAI fit Winner
Deciding which AI use cases are worth funding, and which to drop. Strong Limited Tensorway
EU AI Act classification of candidate use cases before any build. Strong Limited Tensorway
AI readiness and governance for a German manufacturer. Limited Strong appliedAI
Interpreting AI Act obligations for industrial AI systems. Limited Strong appliedAI

Verdict: Tensorway vs appliedAI

Tensorway (4.5/5) is the stronger overall choice for most AI Advisory projects. Two-interview method per use case, a written drop list, and a roadmap another vendor can implement.

appliedAI (4.4/5) is worth a look if you need interpreting AI Act obligations for industrial AI systems. If your situation matches that, appliedAI is a competitive option.

Related comparisons

Tensorway vs appliedAI FAQ

Is Tensorway better than appliedAI?

Tensorway (4.5/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: interviews both the sponsor and the person doing the task, which exposes use cases that only look good on slides. appliedAI's strongest advantage: no platform or large delivery business to sell, which keeps advice neutral.

How do Tensorway and appliedAI differ in pricing?

Tensorway's pricing: price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope. appliedAI's pricing: project and program fees; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.

Which is better for enterprise: Tensorway or appliedAI?

appliedAI is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each firm before shortlisting.

What are the main differences between Tensorway and appliedAI?

Tensorway's primary differentiator is: two-interview method per use case, a written drop list, and a roadmap another vendor can implement. appliedAI's primary differentiator is: advice from a German AI ecosystem with a non-profit institute focused on AI Act practice. They also differ in team size (50+ vs ~120), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Fintech vs Manufacturing, Automotive).

Verify all details directly with each firm before making a decision.