Slalom vs Addepto: full comparison for 2026
Quick verdict
Slalom (4.1/5) edges ahead of Addepto (3.8/5) overall. Slalom is the better choice for north American firms wanting local, on-site AI consultants. Addepto is the stronger option for manufacturers wanting a small first AI engagement. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Slalom vs Addepto: head-to-head summary
| Criterion | Slalom | Addepto |
|---|---|---|
| Founded | 2001 | 2017 |
| HQ | Seattle, USA | Warsaw, Poland |
| Team size | 10,000+ | 50–249 |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Primary differentiator | Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them | Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries |
| Pricing model | Time & materials and fixed-fee projects; rates not published | $50–$99/hr (Clutch band); project-based |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | AWS, Azure, Google Cloud | Databricks, Azure, AWS |
| Industries served | Financial services, Healthcare, Retail, Manufacturing, Public sector, Technology | Manufacturing, Aviation, Logistics, Retail, Financial services |
Slalom vs Addepto: overview
Slalom
Slalom was founded in Seattle in 2001 and has more than 10,000 employees in over 50 offices across the Americas, Europe, and Asia. In August 2026 it hired a former Accenture executive as its chief AI officer. Its AI strategy practice covers operating models, governance, and data strategy, delivered by local teams who work on-site with clients. Partnerships with Microsoft, AWS, Google Cloud, Snowflake, and Salesforce mean a Slalom roadmap usually lands on one of those platforms.
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.
Services and capabilities: Slalom vs Addepto
| Capability | Slalom | Addepto |
|---|---|---|
| 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: Slalom vs Addepto
| Framework / platform | Slalom | Addepto |
|---|---|---|
| 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 |
| Databricks | ✓ | ✓ |
| Snowflake | ✓ | N/A |
Pricing comparison: Slalom vs Addepto
| Criterion | Slalom | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Readiness assessment, Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Slalom vs Addepto
| Dimension | Slalom | Addepto |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail | Manufacturing, Aviation, Logistics |
| Best use cases | AI and data strategy for a North American mid-size or large company., Governance and operating-model design for a first wave of AI projects. | A small readiness check and roadmap for a manufacturer., Predictive maintenance and quality models in industrial settings. |
| Typical project type | Strategy & roadmap engagement | Readiness assessment |
Slalom vs Addepto: pros and cons
| Slalom | |
|---|---|
| + | Consultants live in the client's city, which makes workshops and on-site discovery easy |
| + | Covers operating model and governance as well as technology |
| + | Strong standing with Microsoft, AWS, Google Cloud, and Snowflake |
| + | Can staff the build after the strategy without changing firms |
| - | Roadmaps tend to land on its partner platforms |
| - | New AI leadership (August 2026) means the practice direction is still settling |
| - | Less depth on EU regulation than European consultancies |
| 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 |
Who should choose Slalom?
A typical fit: AI and data strategy for a North American mid-size or large company.
Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail, Manufacturing, Public sector, Technology.
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.
Decision matrix: Slalom vs Addepto
| 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 | Slalom |
| AI will change roles and processes for many staff | Slalom |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: Slalom (Not disclosed) vs Addepto ($10,000+ (Clutch)) |
| You need a large team across many countries | Slalom |
Use case fit: Slalom vs Addepto
| Use case | Slalom fit | Addepto fit | Winner |
|---|---|---|---|
| AI and data strategy for a North American mid-size or large company. | Strong | Limited | Slalom |
| Governance and operating-model design for a first wave of AI projects. | Strong | Limited | Slalom |
| A small readiness check and roadmap for a manufacturer. | Limited | Strong | Addepto |
| Predictive maintenance and quality models in industrial settings. | Limited | Strong | Addepto |
Verdict: Slalom vs Addepto
Slalom (4.1/5) is the stronger overall choice for most AI Strategy Consulting projects. Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them.
Addepto (3.8/5) is worth a look if you need predictive maintenance and quality models in industrial settings. If your situation matches that, Addepto is a competitive option.
Related comparisons
Slalom vs Addepto FAQ
Is Slalom better than Addepto?
Slalom (4.1/5) scores higher overall, but "better" depends on your use case. Slalom's strongest advantage: consultants live in the client's city, which makes workshops and on-site discovery easy. Addepto's strongest advantage: a $10,000+ Clutch minimum allows a small first step.
How do Slalom and Addepto differ in pricing?
Slalom's pricing: time & materials and fixed-fee projects; rates not published. Addepto's pricing: $50–$99/hr (Clutch band); project-based with a minimum engagement of $10,000+ (Clutch). 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: Slalom or Addepto?
Slalom 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 Slalom and Addepto?
Slalom's primary differentiator is: local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them. Addepto's primary differentiator is: low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. They also differ in team size (10,000+ vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Financial services, Healthcare vs Manufacturing, Aviation).
Verify all details directly with each consultant before making a decision.