Ekimetrics vs Quantiphi: full comparison for 2026
Quick verdict
Ekimetrics (4.0/5) edges ahead of Quantiphi (4.0/5) overall. Ekimetrics is the better choice for marketing-led companies tying AI to measurable returns. Quantiphi is the stronger option for companies committed to Google Cloud or AWS. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Ekimetrics vs Quantiphi: head-to-head summary
| Criterion | Ekimetrics | Quantiphi |
|---|---|---|
| Founded | 2006 | 2013 |
| HQ | Paris, France | Marlborough, USA |
| Team size | 400+ | 4,000 |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | AI strategy anchored in marketing measurement and sustainability metrics | Use-case discovery from a top-tier Google Cloud and AWS engineering partner |
| Pricing model | Project fees; rates not published | Project and dedicated-team pricing; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Google Cloud, Azure, Python | Google Cloud, AWS, NVIDIA |
| Industries served | Retail, Consumer goods, Luxury, Automotive, Financial services, Healthcare | Healthcare, Financial services, Insurance, Media, Public sector, Retail |
Ekimetrics vs Quantiphi: overview
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.
Quantiphi
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and has around 4,000 employees. It holds top partner tiers with Google Cloud, AWS, and NVIDIA, according to its own materials, and ISG named it a Leader for AI and machine learning services on Google Cloud in its 2024 Provider Lens report. Its strategy offer is mostly a front end to engineering: use-case discovery and roadmaps that lead into builds on those platforms. It makes most sense when the platform decision is already made.
Services and capabilities: Ekimetrics vs Quantiphi
| Capability | Ekimetrics | Quantiphi |
|---|---|---|
| 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: Ekimetrics vs Quantiphi
| Framework / platform | Ekimetrics | Quantiphi |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | N/A |
| Snowflake | N/A | ✓ |
Pricing comparison: Ekimetrics vs Quantiphi
| Criterion | Ekimetrics | Quantiphi |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Ekimetrics vs Quantiphi
| Dimension | Ekimetrics | Quantiphi |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Retail, Consumer goods, Luxury | Healthcare, Financial services, Insurance |
| Best use cases | Measuring and reallocating marketing spend with AI models., Sustainability reporting and emissions analytics. | AI roadmaps for companies already standardized on Google Cloud., Document and speech AI for healthcare and insurance. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Ekimetrics vs Quantiphi: pros and cons
| 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 |
| Quantiphi | |
|---|---|
| + | Deep Google Cloud expertise, confirmed by ISG's 2024 Provider Lens report |
| + | Moves from discovery to build without changing vendors |
| + | Large engineering bench for document, speech, and vision projects |
| + | Experience with healthcare and public-sector data |
| - | Advice is shaped by its platform partnerships |
| - | Little board-level or organizational change work |
| - | Partner-tier claims come from its own recruiting material, with ISG's report as the independent check |
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.
Who should choose Quantiphi?
A typical fit: AI roadmaps for companies already standardized on Google Cloud.
Use-case discovery from a top-tier Google Cloud and AWS engineering partner. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Insurance, Media, Public sector, Retail.
Decision matrix: Ekimetrics vs Quantiphi
| 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 | 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: Ekimetrics (Not disclosed) vs Quantiphi (Not disclosed) |
| You need a large team across many countries | Quantiphi |
Use case fit: Ekimetrics vs Quantiphi
| Use case | Ekimetrics fit | Quantiphi fit | Winner |
|---|---|---|---|
| Measuring and reallocating marketing spend with AI models. | Strong | Limited | Ekimetrics |
| Sustainability reporting and emissions analytics. | Strong | Limited | Ekimetrics |
| AI roadmaps for companies already standardized on Google Cloud. | Limited | Strong | Quantiphi |
| Document and speech AI for healthcare and insurance. | Limited | Strong | Quantiphi |
Verdict: Ekimetrics vs Quantiphi
Ekimetrics (4.0/5) is the stronger overall choice for most AI Strategy Consulting projects. AI strategy anchored in marketing measurement and sustainability metrics.
Quantiphi (4.0/5) is worth a look if you need document and speech AI for healthcare and insurance. If your situation matches that, Quantiphi is a competitive option.
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Ekimetrics vs Quantiphi FAQ
Is Ekimetrics better than Quantiphi?
Ekimetrics (4.0/5) scores higher overall, but "better" depends on your use case. Ekimetrics's strongest advantage: ties each AI use case to a number finance already tracks. Quantiphi's strongest advantage: deep Google Cloud expertise, confirmed by ISG's 2024 Provider Lens report.
How do Ekimetrics and Quantiphi differ in pricing?
Ekimetrics's pricing: project fees; rates not published. Quantiphi's pricing: project and dedicated-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: Ekimetrics or Quantiphi?
Quantiphi 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 Ekimetrics and Quantiphi?
Ekimetrics's primary differentiator is: AI strategy anchored in marketing measurement and sustainability metrics. Quantiphi's primary differentiator is: use-case discovery from a top-tier Google Cloud and AWS engineering partner. They also differ in team size (400+ vs 4,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail, Consumer goods vs Healthcare, Financial services).
Verify all details directly with each consultant before making a decision.