Top AI Strategy Consultants

Elder Research vs Ekimetrics: full comparison for 2026

Quick verdict

Elder Research (4.0/5) edges ahead of Ekimetrics (4.0/5) overall. Elder Research is the better choice for US agencies and firms wanting seasoned data science advice. 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.

Elder Research vs Ekimetrics: head-to-head summary

Criterion Elder Research Ekimetrics
Founded 1995 2006
HQ Charlottesville, USA Paris, France
Team size 170+ 400+
Rating 4.0 / 5 4.0 / 5
Primary differentiator Three decades of applied data science behind its feasibility calls on AI use cases AI strategy anchored in marketing measurement and sustainability metrics
Pricing model Project fees; rates not published Project fees; rates not published
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, R, AWS Google Cloud, Azure, Python
Industries served Government & defense, Healthcare, Financial services, Insurance, Energy & utilities Retail, Consumer goods, Luxury, Automotive, Financial services, Healthcare

Elder Research vs Ekimetrics: overview

Elder Research

Elder Research was founded in 1995 in Charlottesville, Virginia, by data mining author John Elder and has around 170 staff. ManTech, a Carlyle Group portfolio company, bought it in December 2025 to expand its data and AI practice. The firm combines AI strategy and roadmap work with hands-on data science and training, and it builds fraud, waste, and abuse analytics for government agencies. That history matters. When Elder Research says a model won't work on your data, it has usually seen the same problem before.

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: Elder Research vs Ekimetrics

Capability Elder Research 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: Elder Research vs Ekimetrics

Framework / platform Elder Research 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 N/A ✓
Databricks ✓ ✓
Snowflake N/A N/A

Pricing comparison: Elder Research vs Ekimetrics

Criterion Elder Research Ekimetrics
Minimum engagement Not disclosed Not disclosed
Engagement models Strategy & roadmap engagement, Readiness assessment, Delivery team Strategy & roadmap engagement, Delivery team, Ongoing advisory
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Elder Research vs Ekimetrics

Dimension Elder Research Ekimetrics
Best company size Startup to mid-market Startup to mid-market
Best industries Government & defense, Healthcare, Financial services Retail, Consumer goods, Luxury
Best use cases Feasibility checks on AI ideas before funding them., Fraud and improper-payment analytics for government programs. Measuring and reallocating marketing spend with AI models., Sustainability reporting and emissions analytics.
Typical project type Strategy & roadmap engagement Strategy & roadmap engagement

Elder Research vs Ekimetrics: pros and cons

Elder Research
+ Thirty years of applied analytics make it good at saying which models will actually work on your data
+ Training courses for analysts and managers come from the same firm
+ Experience with fraud, waste, and abuse detection for public agencies
+ Readiness assessments are grounded in hands-on data work
- Bought by ManTech in December 2025, so its focus may shift further toward government work
- Little European presence or EU regulatory work
- Generative AI strategy is a newer area next to its classic analytics
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 Elder Research?

A typical fit: feasibility checks on AI ideas before funding them.

Three decades of applied data science behind its feasibility calls on AI use cases. Minimum engagement is not publicly disclosed. Works best with clients in Government & defense, Healthcare, Financial services, Insurance, Energy & utilities.

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: Elder Research 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 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: Elder Research (Not disclosed) vs Ekimetrics (Not disclosed)
You need a large team across many countries Ekimetrics

Use case fit: Elder Research vs Ekimetrics

Use case Elder Research fit Ekimetrics fit Winner
Feasibility checks on AI ideas before funding them. Strong Limited Elder Research
Fraud and improper-payment analytics for government programs. Strong Limited Elder Research
Measuring and reallocating marketing spend with AI models. Limited Strong Ekimetrics
Sustainability reporting and emissions analytics. Limited Strong Ekimetrics

Verdict: Elder Research vs Ekimetrics

Elder Research (4.0/5) is the stronger overall choice for most AI Strategy Consulting projects. Three decades of applied data science behind its feasibility calls on AI use cases.

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

Elder Research vs Ekimetrics FAQ

Is Elder Research better than Ekimetrics?

Elder Research (4.0/5) scores higher overall, but "better" depends on your use case. Elder Research's strongest advantage: thirty years of applied analytics make it good at saying which models will actually work on your data. Ekimetrics's strongest advantage: ties each AI use case to a number finance already tracks.

How do Elder Research and Ekimetrics differ in pricing?

Elder Research's pricing: project 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: Elder Research or Ekimetrics?

Ekimetrics 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 Elder Research and Ekimetrics?

Elder Research's primary differentiator is: three decades of applied data science behind its feasibility calls on AI use cases. Ekimetrics's primary differentiator is: AI strategy anchored in marketing measurement and sustainability metrics. They also differ in team size (170+ vs 400+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Government & defense, Healthcare vs Retail, Consumer goods).

Verify all details directly with each consultant before making a decision.