Addepto vs Fusemachines: full comparison for 2026
Quick verdict
Addepto (3.8/5) edges ahead of Fusemachines (3.7/5) overall. Addepto is the better choice for manufacturers wanting a small first AI engagement. Fusemachines is the stronger option for firms that want AI strategy plus staff training. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Addepto vs Fusemachines: head-to-head summary
| Criterion | Addepto | Fusemachines |
|---|---|---|
| Founded | 2017 | 2013 |
| HQ | Warsaw, Poland | New York, USA |
| Team size | 50–249 | 270–450 |
| Rating | 3.8 / 5 | 3.7 / 5 |
| Primary differentiator | Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries | AI strategy tied to its own training programs and lower-cost engineering centers |
| Pricing model | $50–$99/hr (Clutch band); project-based | Project and team pricing; rates not published |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Azure, AWS | AWS, Azure, Python |
| Industries served | Manufacturing, Aviation, Logistics, Retail, Financial services | Financial services, Media, Retail, Education, Healthcare |
Addepto vs Fusemachines: overview
Addepto
Addepto was founded in Warsaw in 2017 and was acquired in December 2025 by KMS Technology, an Atlanta digital engineering company backed by Sunstone Partners. Its chief executive says 97% of the team are AI engineers (per company website; independently unverifiable). It sells AI consulting and roadmaps for data-heavy industries such as manufacturing and aviation, followed by builds. Clutch lists $50–$99 an hour and a $10,000+ minimum project, so a small first engagement is possible.
Fusemachines
Fusemachines was founded in New York in 2013 by Sameer Maskey and runs engineering centers in Nepal, with further offices in Canada and Latin America. It listed on Nasdaq under the ticker FUSE in October 2025 through a merger with a special purpose acquisition company (SPAC). Its offer combines AI strategy consulting, implementation, and AI education programs that train client staff and local talent. Headcount estimates range from about 270 to 450.
Services and capabilities: Addepto vs Fusemachines
| Capability | Addepto | Fusemachines |
|---|---|---|
| Readiness assessment | ✓ | ✓ |
| Use-case prioritization | ✗ | ✗ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✗ | ✗ |
| Build vs. buy advice | ✗ | ✗ |
| Audit of live AI programs | ✗ | ✗ |
| Change management | ✗ | ✗ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: Addepto vs Fusemachines
| Framework / platform | Addepto | Fusemachines |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Databricks | ✓ | N/A |
| Snowflake | N/A | N/A |
Pricing comparison: Addepto vs Fusemachines
| Criterion | Addepto | Fusemachines |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Readiness assessment, Strategy & roadmap engagement, Delivery team | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Fusemachines
| Dimension | Addepto | Fusemachines |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Aviation, Logistics | Financial services, Media, Retail |
| Best use cases | A small readiness check and roadmap for a manufacturer., Predictive maintenance and quality models in industrial settings. | AI strategy combined with staff upskilling., Low-cost builds after a readiness assessment. |
| Typical project type | Readiness assessment | Strategy & roadmap engagement |
Addepto vs Fusemachines: pros and cons
| Addepto | |
|---|---|
| + | A $10,000+ Clutch minimum allows a small first step |
| + | Team is almost entirely engineers, so roadmaps stay technically grounded |
| + | Experience with manufacturing and aviation data |
| + | Databricks experience for data platform work |
| - | Acquired by KMS Technology in December 2025, and integration may change teams and priorities |
| - | Strategy work is mostly a front end to engineering |
| - | Little governance or change-management work |
| Fusemachines | |
|---|---|
| + | Training programs help client staff take over AI work |
| + | Engineering centers in Nepal keep delivery costs down |
| + | Covers readiness, strategy, and build |
| + | Public company, so its financials are filed openly |
| - | Small-cap company that listed through a SPAC merger in 2025, so review its filings before a long engagement |
| - | Strategy practice is small next to its training and delivery work |
| - | Little regulatory or governance advice |
Who should choose Addepto?
A typical fit: a small readiness check and roadmap for a manufacturer.
Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Aviation, Logistics, Retail, Financial services.
Who should choose Fusemachines?
A typical fit: AI strategy combined with staff upskilling.
AI strategy tied to its own training programs and lower-cost engineering centers. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Media, Retail, Education, Healthcare.
Decision matrix: Addepto vs Fusemachines
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Neither lists cost modeling; ask for a sample roadmap |
| You already run AI that is missing its targets | Neither offers a separate audit; ask for a scoped review |
| Regulators will ask how each AI system is governed | Neither lists governance work; add a specialist |
| AI will change roles and processes for many staff | Neither; plan change management separately |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Fusemachines (Not disclosed) |
| You need a large team across many countries | Fusemachines |
Use case fit: Addepto vs Fusemachines
| Use case | Addepto fit | Fusemachines fit | Winner |
|---|---|---|---|
| A small readiness check and roadmap for a manufacturer. | Strong | Limited | Addepto |
| Predictive maintenance and quality models in industrial settings. | Strong | Limited | Addepto |
| AI strategy combined with staff upskilling. | Limited | Strong | Fusemachines |
| Low-cost builds after a readiness assessment. | Limited | Strong | Fusemachines |
Verdict: Addepto vs Fusemachines
Addepto (3.8/5) is the stronger overall choice for most AI Strategy Consulting projects. Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries.
Fusemachines (3.7/5) is worth a look if you need low-cost builds after a readiness assessment. If your situation matches that, Fusemachines is a competitive option.
Related comparisons
Addepto vs Fusemachines FAQ
Is Addepto better than Fusemachines?
Addepto (3.8/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: a $10,000+ Clutch minimum allows a small first step. Fusemachines's strongest advantage: training programs help client staff take over AI work.
How do Addepto and Fusemachines differ in pricing?
Addepto's pricing: $50–$99/hr (Clutch band); project-based with a minimum engagement of $10,000+ (Clutch). Fusemachines's pricing: project and team pricing; 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: Addepto or Fusemachines?
Fusemachines is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultant before shortlisting.
What are the main differences between Addepto and Fusemachines?
Addepto's primary differentiator is: low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. Fusemachines's primary differentiator is: AI strategy tied to its own training programs and lower-cost engineering centers. They also differ in team size (50–249 vs 270–450), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Aviation vs Financial services, Media).
Verify all details directly with each consultant before making a decision.