Fractal vs Ekimetrics: full comparison for 2026
Quick verdict
Fractal (4.5/5) edges ahead of Ekimetrics (4.0/5) overall. Fractal is the better choice for consumer and financial firms wanting AI depth from one partner. 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.
Fractal vs Ekimetrics: head-to-head summary
| Criterion | Fractal | Ekimetrics |
|---|---|---|
| Founded | 2000 | 2006 |
| HQ | Mumbai, India / New York, USA | Paris, France |
| Team size | 5,000+ | 400+ |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | Twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on | AI strategy anchored in marketing measurement and sustainability metrics |
| Pricing model | Project and managed-program fees; rates not published | Project fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Cogentiq, Azure, AWS | Google Cloud, Azure, Python |
| Industries served | Consumer goods, Retail, Financial services, Insurance, Healthcare, Technology | Retail, Consumer goods, Luxury, Automotive, Financial services, Healthcare |
Fractal vs Ekimetrics: overview
Fractal
Founded in Mumbai in 2000, Fractal calls itself a pure-play enterprise AI company and runs its US business from New York. It has more than 5,000 employees across 18 locations and listed on India's stock exchanges in February 2026, with TPG and Apax among the selling shareholders. Consulting work starts with use-case discovery and value cases, then moves into data science, engineering, and its own products such as the Cogentiq agent platform. Forrester named it a Leader in its Customer Analytics Services Wave for Q2 2025, according to Fractal's announcement. That history is what you pay for. Few firms have run AI programs for consumer and financial clients this long, although the advice tends to lead into Fractal's own 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: Fractal vs Ekimetrics
| Capability | Fractal | 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: Fractal vs Ekimetrics
| Framework / platform | Fractal | 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: Fractal vs Ekimetrics
| Criterion | Fractal | 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: Fractal vs Ekimetrics
| Dimension | Fractal | Ekimetrics |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Consumer goods, Retail, Financial services | Retail, Consumer goods, Luxury |
| Best use cases | Prioritizing AI use cases across marketing, supply chain, and pricing at a consumer goods company., Building customer analytics and personalization models after a strategy phase. | Measuring and reallocating marketing spend with AI models., Sustainability reporting and emissions analytics. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Fractal vs Ekimetrics: pros and cons
| Fractal | |
|---|---|
| + | Has done AI and analytics work since 2000, longer than most firms on this list have existed |
| + | Strategy hands straight to data science and engineering teams inside the same company |
| + | Named a Leader in Forrester's customer analytics services evaluation (Q2 2025) |
| + | Public since February 2026, so its financials and ownership are disclosed |
| + | Long record with consumer goods and retail clients on demand, pricing, and marketing models |
| - | Strategy work tends to lead into its own platforms and delivery teams, which narrows your vendor choice later |
| - | Governance and EU AI Act advice is less visible than its analytics and engineering work |
| - | Listed in 2026 after years of private equity ownership (TPG, Apax), so check continuity of the team you will get |
| 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 Fractal?
A typical fit: prioritizing AI use cases across marketing, supply chain, and pricing at a consumer goods company.
Twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on. Minimum engagement is not publicly disclosed. Works best with clients in Consumer goods, Retail, Financial services, Insurance, Healthcare, 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: Fractal vs Ekimetrics
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Both price and rank use cases |
| 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: Fractal (Not disclosed) vs Ekimetrics (Not disclosed) |
| You need a large team across many countries | Fractal |
Use case fit: Fractal vs Ekimetrics
| Use case | Fractal fit | Ekimetrics fit | Winner |
|---|---|---|---|
| Prioritizing AI use cases across marketing, supply chain, and pricing at a consumer goods company. | Strong | Limited | Fractal |
| Building customer analytics and personalization models after a strategy phase. | Strong | Limited | Fractal |
| Measuring and reallocating marketing spend with AI models. | Limited | Strong | Ekimetrics |
| Sustainability reporting and emissions analytics. | Limited | Strong | Ekimetrics |
Verdict: Fractal vs Ekimetrics
Fractal (4.5/5) is the stronger overall choice for most AI Strategy Consulting projects. Twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on.
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
Fractal vs Ekimetrics FAQ
Is Fractal better than Ekimetrics?
Fractal (4.5/5) scores higher overall, but "better" depends on your use case. Fractal's strongest advantage: has done AI and analytics work since 2000, longer than most firms on this list have existed. Ekimetrics's strongest advantage: ties each AI use case to a number finance already tracks.
How do Fractal and Ekimetrics differ in pricing?
Fractal's pricing: project and managed-program fees; 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: Fractal or Ekimetrics?
Fractal 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 Fractal and Ekimetrics?
Fractal's primary differentiator is: twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on. Ekimetrics's primary differentiator is: AI strategy anchored in marketing measurement and sustainability metrics. They also differ in team size (5,000+ vs 400+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Consumer goods, Retail vs Retail, Consumer goods).
Verify all details directly with each consultant before making a decision.