deepsense.ai vs RTS Labs: full comparison for 2026
Quick verdict
deepsense.ai (3.9/5) edges ahead of RTS Labs (3.8/5) overall. deepsense.ai is the better choice for technical teams wanting AI strategy from model builders. 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.
deepsense.ai vs RTS Labs: head-to-head summary
| Criterion | deepsense.ai | RTS Labs |
|---|---|---|
| Founded | 2014 | 2010 |
| HQ | Warsaw, Poland | Glen Allen, USA |
| Team size | 120+ | 100+ |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Primary differentiator | Strategy workshops run by engineers who build vision and language models | The lowest entry point reviewed here, with feasibility proofs in place of strategy decks |
| Pricing model | $100–$149/hr (Clutch band); project-based | $25–$49/hr (Clutch band); fixed-scope proofs of concept |
| Min. engagement | $25,000+ (Clutch) | $5,000+ (Clutch) |
| Primary tech stack | Python, PyTorch, AWS | AWS, Azure, Python |
| Industries served | Retail, Manufacturing, Financial services, Healthcare, Media | Logistics, Financial services, Healthcare, Manufacturing, Retail |
deepsense.ai vs RTS Labs: overview
deepsense.ai
deepsense.ai was founded in 2014 in Warsaw and has an office in Palo Alto, with about 120 AI specialists, several of them Kaggle competition winners (per company website; independently unverifiable). It sells AI strategy consulting and workshops, though most of its work is engineering: computer vision, language models, and predictive systems. Clutch lists rates of $100–$149 an hour and a $25,000+ minimum project. That puts it at the top end for a Central European firm.
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: deepsense.ai vs RTS Labs
| Capability | deepsense.ai | 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: deepsense.ai vs RTS Labs
| Framework / platform | deepsense.ai | RTS Labs |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | N/A |
| Snowflake | N/A | ✓ |
Pricing comparison: deepsense.ai vs RTS Labs
| Criterion | deepsense.ai | RTS Labs |
|---|---|---|
| Minimum engagement | $25,000+ (Clutch) | $5,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team | Readiness assessment, Delivery team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: deepsense.ai vs RTS Labs
| Dimension | deepsense.ai | RTS Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Manufacturing, Financial services | Logistics, Financial services, Healthcare |
| Best use cases | Workshops to pick a first computer vision or language model project., Technical feasibility reviews for an AI product idea. | 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 |
deepsense.ai vs RTS Labs: pros and cons
| deepsense.ai | |
|---|---|
| + | Workshops are run by people who build models, so feasibility advice is concrete |
| + | Strong research background in computer vision and language models |
| + | Offers AI training for client teams |
| + | Published Clutch rates make budgeting easier |
| - | Strategy is a small part of an engineering-led business |
| - | Higher Clutch rate band than most Polish peers |
| - | No change-management practice |
| 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 deepsense.ai?
A typical fit: workshops to pick a first computer vision or language model project.
Strategy workshops run by engineers who build vision and language models. Minimum engagement starts at $25,000+ (Clutch). Works best with clients in Retail, Manufacturing, Financial services, Healthcare, Media.
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: deepsense.ai 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 | RTS Labs |
| You need a large team across many countries | deepsense.ai |
Use case fit: deepsense.ai vs RTS Labs
| Use case | deepsense.ai fit | RTS Labs fit | Winner |
|---|---|---|---|
| Workshops to pick a first computer vision or language model project. | Strong | Limited | deepsense.ai |
| Technical feasibility reviews for an AI product idea. | Strong | Limited | deepsense.ai |
| 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: deepsense.ai vs RTS Labs
deepsense.ai (3.9/5) is the stronger overall choice for most AI Strategy Consulting projects. Strategy workshops run by engineers who build vision and language models.
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
deepsense.ai vs RTS Labs FAQ
Is deepsense.ai better than RTS Labs?
deepsense.ai (3.9/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: workshops are run by people who build models, so feasibility advice is concrete. RTS Labs's strongest advantage: a $5,000+ Clutch minimum is the lowest entry point reviewed here.
How do deepsense.ai and RTS Labs differ in pricing?
deepsense.ai's pricing: $100–$149/hr (Clutch band); project-based with a minimum engagement of $25,000+ (Clutch). 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: deepsense.ai or RTS Labs?
deepsense.ai 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 deepsense.ai and RTS Labs?
deepsense.ai's primary differentiator is: strategy workshops run by engineers who build vision and language models. 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 (120+ vs 100+), minimum engagement ($25,000+ (Clutch) vs $5,000+ (Clutch)), and primary industries served (Retail, Manufacturing vs Logistics, Financial services).
Verify all details directly with each consultant before making a decision.