Slalom vs Ekimetrics: full comparison for 2026
Quick verdict
Slalom (4.1/5) edges ahead of Ekimetrics (4.0/5) overall. Slalom is the better choice for north American firms wanting local, on-site AI consultants. Ekimetrics is the stronger option for marketing-led companies tying AI to measurable returns. 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 Ekimetrics: head-to-head summary
| Criterion | Slalom | Ekimetrics |
|---|---|---|
| Founded | 2001 | 2006 |
| HQ | Seattle, USA | Paris, France |
| Team size | 10,000+ | 400+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them | AI strategy anchored in marketing measurement and sustainability metrics |
| Pricing model | Time & materials and fixed-fee projects; rates not published | Project fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, Google Cloud | Google Cloud, Azure, Python |
| Industries served | Financial services, Healthcare, Retail, Manufacturing, Public sector, Technology | Retail, Consumer goods, Luxury, Automotive, Financial services, Healthcare |
Slalom vs Ekimetrics: 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.
Ekimetrics
Ekimetrics was founded in Paris in 2006 and has 400+ data scientists and consultants across Paris, London, New York, Hong Kong, and other offices. Best known for marketing-mix measurement, it has added AI strategy and sustainability analytics, and in February 2026 it bought Actable, a customer analytics software company. Strategy engagements start from outcomes you can measure, such as marketing return or emissions. The scope is narrower than a general AI roadmap but much easier to tie to a budget line.
Services and capabilities: Slalom vs Ekimetrics
| Capability | Slalom | Ekimetrics |
|---|---|---|
| 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 Ekimetrics
| Framework / platform | Slalom | Ekimetrics |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | N/A |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| Snowflake | ✓ | N/A |
Pricing comparison: Slalom vs Ekimetrics
| Criterion | Slalom | Ekimetrics |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Strategy & roadmap engagement, Delivery team, Ongoing advisory |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Slalom vs Ekimetrics
| Dimension | Slalom | Ekimetrics |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail | Retail, Consumer goods, Luxury |
| 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. | Measuring and reallocating marketing spend with AI models., Sustainability reporting and emissions analytics. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Slalom vs Ekimetrics: 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 |
| Ekimetrics | |
|---|---|
| + | Ties each AI use case to a number finance already tracks |
| + | Marketing-mix and customer analytics experience going back to 2006 |
| + | Sustainability and emissions analytics are rare among AI strategy firms |
| + | Delivers the models as well as the plan |
| - | Narrower than a general AI strategy firm, centered on marketing and sustainability |
| - | The Actable acquisition (February 2026) is still being integrated |
| - | Little change-management practice |
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 Ekimetrics?
A typical fit: measuring and reallocating marketing spend with AI models.
AI strategy anchored in marketing measurement and sustainability metrics. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Consumer goods, Luxury, Automotive, Financial services, Healthcare.
Decision matrix: Slalom vs Ekimetrics
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Ekimetrics |
| 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 Ekimetrics (Not disclosed) |
| You need a large team across many countries | Slalom |
Use case fit: Slalom vs Ekimetrics
| Use case | Slalom fit | Ekimetrics 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 |
| Measuring and reallocating marketing spend with AI models. | Limited | Strong | Ekimetrics |
| Sustainability reporting and emissions analytics. | Limited | Strong | Ekimetrics |
Verdict: Slalom vs Ekimetrics
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.
Ekimetrics (4.0/5) is worth a look if you need sustainability reporting and emissions analytics. If your situation matches that, Ekimetrics is a competitive option.
Related comparisons
Slalom vs Ekimetrics FAQ
Is Slalom better than Ekimetrics?
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. Ekimetrics's strongest advantage: ties each AI use case to a number finance already tracks.
How do Slalom and Ekimetrics differ in pricing?
Slalom's pricing: time & materials and fixed-fee projects; rates not published. Ekimetrics's pricing: project fees; 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: Slalom or Ekimetrics?
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 Ekimetrics?
Slalom's primary differentiator is: local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them. Ekimetrics's primary differentiator is: AI strategy anchored in marketing measurement and sustainability metrics. They also differ in team size (10,000+ vs 400+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Retail, Consumer goods).
Verify all details directly with each consultant before making a decision.