Trilateral Research vs Elder Research: full comparison for 2026
Quick verdict
Trilateral Research (4.3/5) edges ahead of Elder Research (3.8/5) overall. Trilateral Research is the better choice for public bodies needing rights and ethics assessments. 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.
Trilateral Research vs Elder Research: head-to-head summary
| Criterion | Trilateral Research | Elder Research |
|---|---|---|
| Founded | 2004 | 1995 |
| HQ | London, UK | Charlottesville, USA |
| Team size | 55–200 | ~170 |
| Rating | 4.3 / 5 | 3.8 / 5 |
| Primary differentiator | Fundamental rights and ethics impact assessments from a research-led firm | Feasibility calls grounded in three decades of hands-on modeling |
| Pricing model | Project fees; rates on request | Project fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, ISO/IEC 42001 | Python, R, NIST AI RMF |
| Industries served | Public sector, Law enforcement, Healthcare, Financial services | Government & defense, Healthcare, Financial services, Insurance |
Trilateral Research vs Elder Research: overview
Trilateral Research
Trilateral Research was established in 2004 and is headquartered in London, with an Irish operations center in Waterford. It began in research and data protection and now advises on responsible AI, including fundamental rights impact assessments of the kind the EU AI Act requires for some high-risk deployments. Directory estimates of its size range from about 55 to 200 people. It also builds its own ethical AI software, mostly for public-sector and law-enforcement users.
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: Trilateral Research vs Elder Research
| Capability | Trilateral Research | 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: Trilateral Research vs Elder Research
| Framework / platform | Trilateral Research | Elder Research |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| DORA | N/A | N/A |
| NIST AI RMF | N/A | ✓ |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | N/A | N/A |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: Trilateral Research vs Elder Research
| Criterion | Trilateral Research | Elder Research |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Ongoing advisory | Fixed-scope assessment, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Trilateral Research vs Elder Research
| Dimension | Trilateral Research | Elder Research |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Public sector, Law enforcement, Healthcare | Government & defense, Healthcare, Financial services |
| Best use cases | Fundamental rights impact assessments for high-risk AI., Ethics reviews of public-sector AI systems. | Checking whether data supports a proposed AI use case., Fraud analytics planning for agencies. |
| Typical project type | Fixed-scope assessment | Fixed-scope assessment |
Trilateral Research vs Elder Research: pros and cons
| Trilateral Research | |
|---|---|
| + | Two decades of research on ethics and data protection |
| + | Fundamental rights impact assessments are a core skill |
| + | Independent of the big cloud and software vendors |
| - | Small team for large multi-country programs |
| - | Builds its own software, which can shape recommendations |
| - | Less focus on cost modeling or business cases |
| 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 Trilateral Research?
A typical fit: fundamental rights impact assessments for high-risk AI.
Fundamental rights and ethics impact assessments from a research-led firm. Minimum engagement is not publicly disclosed. Works best with clients in Public sector, Law enforcement, Healthcare, 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: Trilateral Research vs Elder Research
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Trilateral Research |
| 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 | Trilateral Research |
| 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 | Elder Research |
| Your budget is at the lower end | Compare: Trilateral Research (Not disclosed) vs Elder Research (Not disclosed) |
| You need advisers in many countries at once | Elder Research |
Use case fit: Trilateral Research vs Elder Research
| Use case | Trilateral Research fit | Elder Research fit | Winner |
|---|---|---|---|
| Fundamental rights impact assessments for high-risk AI. | Strong | Limited | Trilateral Research |
| Ethics reviews of public-sector AI systems. | Strong | Limited | Trilateral Research |
| Checking whether data supports a proposed AI use case. | Limited | Strong | Elder Research |
| Fraud analytics planning for agencies. | Limited | Strong | Elder Research |
Verdict: Trilateral Research vs Elder Research
Trilateral Research (4.3/5) is the stronger overall choice for most AI Advisory projects. Fundamental rights and ethics impact assessments from a research-led firm.
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
Trilateral Research vs Elder Research FAQ
Is Trilateral Research better than Elder Research?
Trilateral Research (4.3/5) scores higher overall, but "better" depends on your use case. Trilateral Research's strongest advantage: two decades of research on ethics and data protection. Elder Research's strongest advantage: honest feasibility judgments based on long modeling experience.
How do Trilateral Research and Elder Research differ in pricing?
Trilateral Research's pricing: project fees; rates on request. 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: Trilateral Research or Elder Research?
Elder Research 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 Trilateral Research and Elder Research?
Trilateral Research's primary differentiator is: fundamental rights and ethics impact assessments from a research-led firm. Elder Research's primary differentiator is: feasibility calls grounded in three decades of hands-on modeling. They also differ in team size (55–200 vs ~170), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Public sector, Law enforcement vs Government & defense, Healthcare).
Verify all details directly with each firm before making a decision.