Trilateral Research vs Centric Consulting: full comparison for 2026
Quick verdict
Trilateral Research (4.3/5) edges ahead of Centric Consulting (3.7/5) overall. Trilateral Research is the better choice for public bodies needing rights and ethics assessments. Centric Consulting is the stronger option for mid-size US firms writing AI usage policies. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
Trilateral Research vs Centric Consulting: head-to-head summary
| Criterion | Trilateral Research | Centric Consulting |
|---|---|---|
| Founded | 2004 | 1999 |
| HQ | London, UK | Dayton, USA |
| Team size | 55–200 | ~1,400 |
| Rating | 4.3 / 5 | 3.7 / 5 |
| Primary differentiator | Fundamental rights and ethics impact assessments from a research-led firm | Acceptable-use policies and staff adoption programs for generative AI |
| Pricing model | Project fees; rates on request | Consulting fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, ISO/IEC 42001 | Azure, Microsoft Copilot |
| Industries served | Public sector, Law enforcement, Healthcare, Financial services | Insurance, Healthcare, Financial services, Manufacturing |
Trilateral Research vs Centric Consulting: 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.
Centric Consulting
Centric Consulting is a remote-first firm founded in 1999, headquartered in Dayton, Ohio, with about 1,400 people in the US and India. Its AI advice centers on acceptable-use policies for generative AI, AI centers of excellence, and staff adoption. That suits mid-size US companies that need rules and training before any big program.
Services and capabilities: Trilateral Research vs Centric Consulting
| Capability | Trilateral Research | Centric Consulting |
|---|---|---|
| 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 Centric Consulting
| Framework / platform | Trilateral Research | Centric Consulting |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| DORA | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | N/A | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: Trilateral Research vs Centric Consulting
| Criterion | Trilateral Research | Centric Consulting |
|---|---|---|
| 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 Centric Consulting
| Dimension | Trilateral Research | Centric Consulting |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Public sector, Law enforcement, Healthcare | Insurance, Healthcare, Financial services |
| Best use cases | Fundamental rights impact assessments for high-risk AI., Ethics reviews of public-sector AI systems. | Writing a generative AI usage policy., Copilot adoption with staff training. |
| Typical project type | Fixed-scope assessment | Fixed-scope assessment |
Trilateral Research vs Centric Consulting: 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 |
| Centric Consulting | |
|---|---|
| + | Practical usage policies and training |
| + | Sized for mid-size US companies |
| + | Insurance and healthcare accelerators |
| - | Little EU regulatory work |
| - | Light on cost modeling |
| - | Mostly Microsoft-centered |
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 Centric Consulting?
A typical fit: writing a generative AI usage policy.
Acceptable-use policies and staff adoption programs for generative AI. Minimum engagement is not publicly disclosed. Works best with clients in Insurance, Healthcare, Financial services, Manufacturing.
Decision matrix: Trilateral Research vs Centric Consulting
| 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 | Both cover AI Act classification |
| 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 | Centric Consulting |
| Your budget is at the lower end | Compare: Trilateral Research (Not disclosed) vs Centric Consulting (Not disclosed) |
| You need advisers in many countries at once | Centric Consulting |
Use case fit: Trilateral Research vs Centric Consulting
| Use case | Trilateral Research fit | Centric Consulting 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 |
| Writing a generative AI usage policy. | Limited | Strong | Centric Consulting |
| Copilot adoption with staff training. | Limited | Strong | Centric Consulting |
Verdict: Trilateral Research vs Centric Consulting
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.
Centric Consulting (3.7/5) is worth a look if you need copilot adoption with staff training. If your situation matches that, Centric Consulting is a competitive option.
Related comparisons
Trilateral Research vs Centric Consulting FAQ
Is Trilateral Research better than Centric Consulting?
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. Centric Consulting's strongest advantage: practical usage policies and training.
How do Trilateral Research and Centric Consulting differ in pricing?
Trilateral Research's pricing: project fees; rates on request. Centric Consulting's pricing: consulting 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 Centric Consulting?
Centric Consulting 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 Centric Consulting?
Trilateral Research's primary differentiator is: fundamental rights and ethics impact assessments from a research-led firm. Centric Consulting's primary differentiator is: acceptable-use policies and staff adoption programs for generative AI. They also differ in team size (55–200 vs ~1,400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Public sector, Law enforcement vs Insurance, Healthcare).
Verify all details directly with each firm before making a decision.