Tensorway vs Knowit: full comparison for 2026
Quick verdict
Tensorway (4.5/5) edges ahead of Knowit (3.9/5) overall. Tensorway is the better choice for COOs and CFOs wanting a vendor-neutral AI plan. Knowit is the stronger option for nordic public authorities wanting a local partner. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
Tensorway vs Knowit: head-to-head summary
| Criterion | Tensorway | Knowit |
|---|---|---|
| Founded | 2019 | 1990 |
| HQ | Alicante, Spain | Stockholm, Sweden |
| Team size | 50+ | ~3,600 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Primary differentiator | Two-interview method per use case, a written drop list, and a roadmap another vendor can implement | Nordic public-sector reach with data governance and AI under one roof |
| Pricing model | Price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope | Consulting and framework-agreement rates; not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, DORA | Azure, AWS, EU AI Act |
| Industries served | Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing | Public sector, Energy, Retail, Manufacturing, Financial services |
Tensorway vs Knowit: 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).
Knowit
Knowit was established in 1990, has been listed in Stockholm since 1997, and employs about 3,600 people, mostly in Sweden, Norway, Denmark, and Finland. Its AI work spans strategy, data governance, and engineering, with a large public-sector client base. Revenue fell in 2024 and 2025 and the company has focused on efficiency, which buyers may notice in staffing. It is a familiar choice for Nordic authorities that want a local partner.
Services and capabilities: Tensorway vs Knowit
| Capability | Tensorway | Knowit |
|---|---|---|
| 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 Knowit
| Framework / platform | Tensorway | Knowit |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| DORA | ✓ | N/A |
| NIST AI RMF | ✓ | N/A |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | N/A | ✓ |
| AWS | N/A | ✓ |
| Google Cloud | N/A | N/A |
Pricing comparison: Tensorway vs Knowit
| Criterion | Tensorway | Knowit |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Multi-use-case advisory, Ongoing advisory | Multi-use-case advisory, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Knowit
| Dimension | Tensorway | Knowit |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Financial services, Fintech, Insurance | Public sector, Energy, Retail |
| 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 planning for a Nordic public authority., Data governance before AI projects. |
| Typical project type | Fixed-scope assessment | Multi-use-case advisory |
Tensorway vs Knowit: 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 |
| Knowit | |
|---|---|
| + | Strong presence across all four Nordic countries |
| + | On many public-sector framework agreements |
| + | Publicly listed, so finances are disclosed |
| - | Sales fell in 2024 and 2025, and cost cutting followed |
| - | AI is one practice among many |
| - | Advice tends to lead into its own delivery |
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 Knowit?
A typical fit: AI planning for a Nordic public authority.
Nordic public-sector reach with data governance and AI under one roof. Minimum engagement is not publicly disclosed. Works best with clients in Public sector, Energy, Retail, Manufacturing, Financial services.
Decision matrix: Tensorway vs Knowit
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Tensorway |
| 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 | Both can deliver |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Knowit (Not disclosed) |
| You need advisers in many countries at once | Knowit |
Use case fit: Tensorway vs Knowit
| Use case | Tensorway fit | Knowit 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 planning for a Nordic public authority. | Limited | Strong | Knowit |
| Data governance before AI projects. | Limited | Strong | Knowit |
Verdict: Tensorway vs Knowit
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.
Knowit (3.9/5) is worth a look if you need data governance before AI projects. If your situation matches that, Knowit is a competitive option.
Related comparisons
Tensorway vs Knowit FAQ
Is Tensorway better than Knowit?
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. Knowit's strongest advantage: strong presence across all four Nordic countries.
How do Tensorway and Knowit 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. Knowit's pricing: consulting and framework-agreement rates; not published. 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 Knowit?
Knowit 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 Knowit?
Tensorway's primary differentiator is: two-interview method per use case, a written drop list, and a roadmap another vendor can implement. Knowit's primary differentiator is: nordic public-sector reach with data governance and AI under one roof. They also differ in team size (50+ vs ~3,600), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Fintech vs Public sector, Energy).
Verify all details directly with each firm before making a decision.