Futurice vs Elder Research: full comparison for 2026
Quick verdict
Futurice (3.9/5) edges ahead of Elder Research (3.8/5) overall. Futurice is the better choice for nordic firms redesigning services around AI. Elder Research is the stronger option for US agencies wanting a data feasibility check. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
Futurice vs Elder Research: head-to-head summary
| Criterion | Futurice | Elder Research |
|---|---|---|
| Founded | 2000 | 1995 |
| HQ | Helsinki, Finland | Charlottesville, USA |
| Team size | 800+ | ~170 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Primary differentiator | AI strategy combined with service design and operating-model work | Feasibility calls grounded in three decades of hands-on modeling |
| Pricing model | Consulting fees; rates not published | Project fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Azure, AWS, Google Cloud | Python, R, NIST AI RMF |
| Industries served | Retail, Media, Public sector, Manufacturing, Financial services | Government & defense, Healthcare, Financial services, Insurance |
Futurice vs Elder Research: overview
Futurice
Futurice was founded in Helsinki in 2000 and says it has more than 800 people across Europe. Its strategy and renewal team runs AI strategy and operating-model work with executives, and design teams shape how people will actually use the result. Engineering follows if the client wants it. The approach suits Nordic companies that see AI as a service-design problem as much as a technical one.
Elder Research
Elder Research has advised on analytics since 1995 from Charlottesville, Virginia, and has around 170 staff. ManTech, owned by Carlyle, bought it in December 2025. Its readiness work rests on decades of hands-on modeling, so its view on whether your data can support a use case is grounded in practice. European regulation is outside its usual territory.
Services and capabilities: Futurice vs Elder Research
| Capability | Futurice | Elder Research |
|---|---|---|
| Readiness assessment | ✗ | ✓ |
| Use-case prioritization | ✓ | ✓ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✗ | ✗ |
| Build vs. buy advice | ✗ | ✗ |
| Independent audit or assurance | ✗ | ✗ |
| Roadmap any vendor can implement | ✗ | ✗ |
| Delivery capability after advice | ✓ | ✓ |
Frameworks and platforms: Futurice vs Elder Research
| Framework / platform | Futurice | Elder Research |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | ✓ | N/A |
| DORA | N/A | N/A |
| NIST AI RMF | N/A | ✓ |
| ISO/IEC 42001 | N/A | N/A |
| Azure | ✓ | N/A |
| AWS | ✓ | N/A |
| Google Cloud | ✓ | N/A |
Pricing comparison: Futurice vs Elder Research
| Criterion | Futurice | Elder Research |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Multi-use-case advisory, Delivery team | Fixed-scope assessment, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Futurice vs Elder Research
| Dimension | Futurice | Elder Research |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Media, Public sector | Government & defense, Healthcare, Financial services |
| Best use cases | Redesigning a customer service around AI., Operating-model change for AI adoption. | Checking whether data supports a proposed AI use case., Fraud analytics planning for agencies. |
| Typical project type | Multi-use-case advisory | Fixed-scope assessment |
Futurice vs Elder Research: pros and cons
| Futurice | |
|---|---|
| + | Design-led thinking about how staff and customers use AI |
| + | Works with executives on operating models |
| + | Can build afterward |
| - | Governance and regulation are less central to its offer |
| - | Ownership details are not recently published |
| - | Advice often leads into its own delivery |
| Elder Research | |
|---|---|
| + | Honest feasibility judgments based on long modeling experience |
| + | Training for analysts and managers |
| + | Strong US government record |
| - | Bought by ManTech (Carlyle) in December 2025, so its focus may shift to defense |
| - | Little EU regulatory work |
| - | Small advisory bench |
Who should choose Futurice?
A typical fit: redesigning a customer service around AI.
AI strategy combined with service design and operating-model work. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Media, Public sector, Manufacturing, Financial services.
Who should choose Elder Research?
A typical fit: checking whether data supports a proposed AI use case.
Feasibility calls grounded in three decades of hands-on modeling. Minimum engagement is not publicly disclosed. Works best with clients in Government & defense, Healthcare, Financial services, Insurance.
Decision matrix: Futurice vs Elder Research
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Neither; write the build as a separate decision |
| Finance needs run costs before approving anything | Neither lists cost modeling; ask for a sample |
| Some of your use cases may be high-risk under the EU AI Act | Neither; add a governance specialist |
| You need an outside check on a system already built | Neither; use a dedicated auditor |
| You want the same firm to build what it recommends | Both can deliver |
| Your budget is at the lower end | Compare: Futurice (Not disclosed) vs Elder Research (Not disclosed) |
| You need advisers in many countries at once | Futurice |
Use case fit: Futurice vs Elder Research
| Use case | Futurice fit | Elder Research fit | Winner |
|---|---|---|---|
| Redesigning a customer service around AI. | Strong | Limited | Futurice |
| Operating-model change for AI adoption. | Strong | Limited | Futurice |
| Checking whether data supports a proposed AI use case. | Limited | Strong | Elder Research |
| Fraud analytics planning for agencies. | Limited | Strong | Elder Research |
Verdict: Futurice vs Elder Research
Futurice (3.9/5) is the stronger overall choice for most AI Advisory projects. AI strategy combined with service design and operating-model work.
Elder Research (3.8/5) is worth a look if you need fraud analytics planning for agencies. If your situation matches that, Elder Research is a competitive option.
Related comparisons
Futurice vs Elder Research FAQ
Is Futurice better than Elder Research?
Futurice (3.9/5) scores higher overall, but "better" depends on your use case. Futurice's strongest advantage: design-led thinking about how staff and customers use AI. Elder Research's strongest advantage: honest feasibility judgments based on long modeling experience.
How do Futurice and Elder Research differ in pricing?
Futurice's pricing: consulting fees; rates not published. Elder Research'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: Futurice or Elder Research?
Futurice is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each firm before shortlisting.
What are the main differences between Futurice and Elder Research?
Futurice's primary differentiator is: AI strategy combined with service design and operating-model work. Elder Research's primary differentiator is: feasibility calls grounded in three decades of hands-on modeling. They also differ in team size (800+ vs ~170), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail, Media vs Government & defense, Healthcare).
Verify all details directly with each firm before making a decision.