Quantiphi vs RTS Labs: full comparison for 2026
Quick verdict
Quantiphi (4.0/5) edges ahead of RTS Labs (3.8/5) overall. Quantiphi is the better choice for companies committed to Google Cloud or AWS. RTS Labs is the stronger option for US firms testing one AI idea on a small budget. 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 RTS Labs: head-to-head summary
| Criterion | Quantiphi | RTS Labs |
|---|---|---|
| Founded | 2013 | 2010 |
| HQ | Marlborough, USA | Glen Allen, USA |
| Team size | 4,000 | 100+ |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Use-case discovery from a top-tier Google Cloud and AWS engineering partner | The lowest entry point reviewed here, with feasibility proofs in place of strategy decks |
| Pricing model | Project and dedicated-team pricing; rates not published | $25–$49/hr (Clutch band); fixed-scope proofs of concept |
| Min. engagement | Not disclosed | $5,000+ (Clutch) |
| Primary tech stack | Google Cloud, AWS, NVIDIA | AWS, Azure, Python |
| Industries served | Healthcare, Financial services, Insurance, Media, Public sector, Retail | Logistics, Financial services, Healthcare, Manufacturing, Retail |
Quantiphi vs RTS Labs: 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.
RTS Labs
RTS Labs is based in the Richmond, Virginia area and says it has 100+ US-based employees (per company website; independently unverifiable). It gives its founding year as 2010, while Clutch lists 2012. The firm says outright that it doesn't deliver strategy decks. Its version of strategy is a feasibility study and proof of concept with a return-on-investment check. Clutch lists $25–$49 an hour and a $5,000+ minimum, the lowest entry point of any firm reviewed here.
Services and capabilities: Quantiphi vs RTS Labs
| Capability | Quantiphi | RTS Labs |
|---|---|---|
| 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 RTS Labs
| Framework / platform | Quantiphi | RTS Labs |
|---|---|---|
| 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 | N/A |
| Snowflake | ✓ | ✓ |
Pricing comparison: Quantiphi vs RTS Labs
| Criterion | Quantiphi | RTS Labs |
|---|---|---|
| Minimum engagement | Not disclosed | $5,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team | Readiness assessment, Delivery team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Quantiphi vs RTS Labs
| Dimension | Quantiphi | RTS Labs |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Healthcare, Financial services, Insurance | Logistics, Financial services, Healthcare |
| Best use cases | AI roadmaps for companies already standardized on Google Cloud., Document and speech AI for healthcare and insurance. | Testing one AI idea with a proof of concept before funding it., Logistics and supply-chain models for mid-size US companies. |
| Typical project type | Strategy & roadmap engagement | Readiness assessment |
Quantiphi vs RTS Labs: 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 |
| RTS Labs | |
|---|---|
| + | A $5,000+ Clutch minimum is the lowest entry point reviewed here |
| + | Proofs of concept test an idea on real data before a big commitment |
| + | Return-on-investment checks are part of the feasibility work |
| + | All-US team for clients that need domestic staff |
| - | Deliberately light on strategy, so a company-wide roadmap is outside its scope |
| - | US-only team with no European regulatory work |
| - | Founding year and headcount differ between its own site and Clutch |
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 RTS Labs?
A typical fit: testing one AI idea with a proof of concept before funding it.
The lowest entry point reviewed here, with feasibility proofs in place of strategy decks. Minimum engagement starts at $5,000+ (Clutch). Works best with clients in Logistics, Financial services, Healthcare, Manufacturing, Retail.
Decision matrix: Quantiphi vs RTS Labs
| 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 RTS Labs ($5,000+ (Clutch)) |
| You need a large team across many countries | Quantiphi |
Use case fit: Quantiphi vs RTS Labs
| Use case | Quantiphi fit | RTS Labs 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 |
| Testing one AI idea with a proof of concept before funding it. | Limited | Strong | RTS Labs |
| Logistics and supply-chain models for mid-size US companies. | Limited | Strong | RTS Labs |
Verdict: Quantiphi vs RTS Labs
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.
RTS Labs (3.8/5) is worth a look if you need logistics and supply-chain models for mid-size US companies. If your situation matches that, RTS Labs is a competitive option.
Related comparisons
Quantiphi vs RTS Labs FAQ
Is Quantiphi better than RTS Labs?
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. RTS Labs's strongest advantage: a $5,000+ Clutch minimum is the lowest entry point reviewed here.
How do Quantiphi and RTS Labs differ in pricing?
Quantiphi's pricing: project and dedicated-team pricing; rates not published. RTS Labs's pricing: $25–$49/hr (Clutch band); fixed-scope proofs of concept with a minimum engagement of $5,000+ (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 RTS Labs?
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 RTS Labs?
Quantiphi's primary differentiator is: use-case discovery from a top-tier Google Cloud and AWS engineering partner. RTS Labs's primary differentiator is: the lowest entry point reviewed here, with feasibility proofs in place of strategy decks. They also differ in team size (4,000 vs 100+), minimum engagement (Not disclosed vs $5,000+ (Clutch)), and primary industries served (Healthcare, Financial services vs Logistics, Financial services).
Verify all details directly with each consultant before making a decision.