Quantiphi vs Addepto: full comparison for 2026
Quick verdict
Quantiphi (4.0/5) edges ahead of Addepto (3.8/5) overall. Quantiphi is the better choice for companies committed to Google Cloud or AWS. Addepto is the stronger option for manufacturers wanting a small first AI engagement. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Quantiphi vs Addepto: head-to-head summary
| Criterion | Quantiphi | Addepto |
|---|---|---|
| Founded | 2013 | 2017 |
| HQ | Marlborough, USA | Warsaw, Poland |
| Team size | 4,000 | 50–249 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Use-case discovery from a top-tier Google Cloud and AWS engineering partner | Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries |
| Pricing model | Project and dedicated-team pricing; rates not published | $50–$99/hr (Clutch band); project-based |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | Google Cloud, AWS, NVIDIA | Databricks, Azure, AWS |
| Industries served | Healthcare, Financial services, Insurance, Media, Public sector, Retail | Manufacturing, Aviation, Logistics, Retail, Financial services |
Quantiphi vs Addepto: overview
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.
Addepto
Addepto was founded in Warsaw in 2017 and was acquired in December 2025 by KMS Technology, an Atlanta digital engineering company backed by Sunstone Partners. Its chief executive says 97% of the team are AI engineers (per company website; independently unverifiable). It sells AI consulting and roadmaps for data-heavy industries such as manufacturing and aviation, followed by builds. Clutch lists $50–$99 an hour and a $10,000+ minimum project, so a small first engagement is possible.
Services and capabilities: Quantiphi vs Addepto
| Capability | Quantiphi | Addepto |
|---|---|---|
| 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: Quantiphi vs Addepto
| Framework / platform | Quantiphi | Addepto |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | ✓ |
| Snowflake | ✓ | N/A |
Pricing comparison: Quantiphi vs Addepto
| Criterion | Quantiphi | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team | Readiness assessment, Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Quantiphi vs Addepto
| Dimension | Quantiphi | Addepto |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Healthcare, Financial services, Insurance | Manufacturing, Aviation, Logistics |
| Best use cases | AI roadmaps for companies already standardized on Google Cloud., Document and speech AI for healthcare and insurance. | A small readiness check and roadmap for a manufacturer., Predictive maintenance and quality models in industrial settings. |
| Typical project type | Strategy & roadmap engagement | Readiness assessment |
Quantiphi vs Addepto: pros and cons
| 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 |
| Addepto | |
|---|---|
| + | A $10,000+ Clutch minimum allows a small first step |
| + | Team is almost entirely engineers, so roadmaps stay technically grounded |
| + | Experience with manufacturing and aviation data |
| + | Databricks experience for data platform work |
| - | Acquired by KMS Technology in December 2025, and integration may change teams and priorities |
| - | Strategy work is mostly a front end to engineering |
| - | Little governance or change-management work |
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.
Who should choose Addepto?
A typical fit: a small readiness check and roadmap for a manufacturer.
Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Aviation, Logistics, Retail, Financial services.
Decision matrix: Quantiphi vs Addepto
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Neither lists cost modeling; ask for a sample roadmap |
| 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: Quantiphi (Not disclosed) vs Addepto ($10,000+ (Clutch)) |
| You need a large team across many countries | Quantiphi |
Use case fit: Quantiphi vs Addepto
| Use case | Quantiphi fit | Addepto fit | Winner |
|---|---|---|---|
| AI roadmaps for companies already standardized on Google Cloud. | Strong | Limited | Quantiphi |
| Document and speech AI for healthcare and insurance. | Strong | Limited | Quantiphi |
| A small readiness check and roadmap for a manufacturer. | Limited | Strong | Addepto |
| Predictive maintenance and quality models in industrial settings. | Limited | Strong | Addepto |
Verdict: Quantiphi vs Addepto
Quantiphi (4.0/5) is the stronger overall choice for most AI Strategy Consulting projects. Use-case discovery from a top-tier Google Cloud and AWS engineering partner.
Addepto (3.8/5) is worth a look if you need predictive maintenance and quality models in industrial settings. If your situation matches that, Addepto is a competitive option.
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Quantiphi vs Addepto FAQ
Is Quantiphi better than Addepto?
Quantiphi (4.0/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: deep Google Cloud expertise, confirmed by ISG's 2024 Provider Lens report. Addepto's strongest advantage: a $10,000+ Clutch minimum allows a small first step.
How do Quantiphi and Addepto differ in pricing?
Quantiphi's pricing: project and dedicated-team pricing; rates not published. Addepto's pricing: $50–$99/hr (Clutch band); project-based with a minimum engagement of $10,000+ (Clutch). 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: Quantiphi or Addepto?
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 Quantiphi and Addepto?
Quantiphi's primary differentiator is: use-case discovery from a top-tier Google Cloud and AWS engineering partner. Addepto's primary differentiator is: low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. They also differ in team size (4,000 vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Healthcare, Financial services vs Manufacturing, Aviation).
Verify all details directly with each consultant before making a decision.