Pento vs Revelo: full comparison for 2026
Quick verdict
Pento (4.0/5) edges ahead of Revelo (4.0/5) overall. Pento is the better choice for U.S. teams that want a nearshore ML engineer at a known mid-range rate. Revelo is the stronger option for U.S. companies that want a Latin American AI engineer without upfront fees or a long contract. The right choice depends on your project size, budget, and required tech stack.
Pento vs Revelo: head-to-head summary
| Criterion | Pento | Revelo |
|---|---|---|
| Founded | 2019 | 2014 |
| HQ | Montevideo, Uruguay | Miami, Florida, USA |
| Team size | 10–49 | 400,000+ network (company figure) |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | Published mid-range rate with close U.S. Eastern overlap | No upfront fees, no long-term contract and published salary benchmarks |
| Pricing model | $50–$99/hr (Clutch band); augmentation or project delivery | Monthly per engineer; no upfront fees or long-term contracts (per company); senior AI/ML all-in cost about $103,000/yr (company benchmark) |
| Min. engagement | $25,000+ | Not published |
| Primary tech stack | Python, PyTorch, scikit-learn | Python, PyTorch, TensorFlow |
| Industries served | Retail, Fintech, SaaS, Logistics, Media | Technology, Fintech, SaaS, Healthcare, AI labs |
Pento vs Revelo: overview
Pento
Pento is a Montevideo company with 10 to 49 people that designs, builds and deploys machine learning systems for mid-market and enterprise clients. Clutch shows an hourly band of $50 to $99 and a $25,000 minimum project, so you can budget before the first call. It describes its work as either augmenting internal teams or delivering whole systems. Uruguay's working day overlaps closely with U.S. Eastern time. The small team means one or two engineers at a time.
Revelo
Revelo started in 2014 (one listing says 2015) and has a U.S. base in Miami and operations in São Paulo. It places engineers from a Latin American network it puts at over 400,000, and its platform pages promise no upfront fees and no long-term contracts. Revelo also publishes salary benchmarks. Its figure for a senior AI or ML engineer is about $103,000 a year all-in, roughly 55% below a comparable U.S. hire. LLM training work made up 22% of its 2024 revenue, according to TechCrunch.
Services and capabilities: Pento vs Revelo
| Capability | Pento | Revelo |
|---|---|---|
| Full-time dedicated engineers | ✓ | ✓ |
| Part-time / fractional experts | ✗ | ✗ |
| Dedicated team | ✗ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Published rates | ✓ | ✗ |
| Direct hire option | ✗ | ✗ |
| Subscription or output-based pricing | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✓ |
| LLM / GenAI engineers | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✓ | ✗ |
Tech stack comparison: Pento vs Revelo
| Framework / platform | Pento | Revelo |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Pento vs Revelo
| Criterion | Pento | Revelo |
|---|---|---|
| Minimum engagement | $25,000+ | Not published |
| Engagement models | Full-time dedicated, Project delivery | Full-time dedicated, Freelance contract |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Pento vs Revelo
| Dimension | Pento | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Fintech, SaaS | Technology, Fintech, SaaS |
| Best use cases | Adding a forecasting specialist to a retail team, Building an anomaly-detection model with nearshore help | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data |
| Typical project type | Full-time dedicated | Full-time dedicated |
Pento vs Revelo: pros and cons
| Pento | |
|---|---|
| + | Rate band and minimum are public |
| + | Close overlap with U.S. Eastern time |
| + | Focused on ML systems, not general software |
| - | Very small team |
| - | Highest published minimum on this list |
| - | Few public reviews |
| Revelo | |
|---|---|
| + | No upfront fee or long-term contract |
| + | Published salary benchmarks help with budgeting |
| + | Large Latin American network on U.S. hours |
| - | Part of revenue comes from AI-lab training work |
| - | Salary figures come from Revelo itself |
| - | Founding year and headquarters differ by source |
Who should choose Pento?
A typical fit: adding a forecasting specialist to a retail team.
Published mid-range rate with close U.S. Eastern overlap. Minimum engagement starts at $25,000+. Works best with clients in Retail, Fintech, SaaS, Logistics, Media.
Who should choose Revelo?
A typical fit: hiring a Brazilian ML engineer without a long contract.
No upfront fees, no long-term contract and published salary benchmarks. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, SaaS, Healthcare, AI labs.
Decision matrix: Pento vs Revelo
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; Pento rates higher overall |
| You only need a specialist a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| You need a rate before the first call | Pento |
| Your budget is at the lower end | Compare: Pento ($25,000+) vs Revelo (Not published) |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
| You want several engineers working as one team | Neither lists dedicated teams; check team size before signing |
Use case fit: Pento vs Revelo
| Use case | Pento fit | Revelo fit | Winner |
|---|---|---|---|
| Adding a forecasting specialist to a retail team | Strong | Strong | Both equally |
| Building an anomaly-detection model with nearshore help | Strong | Limited | Pento |
| Hiring a Brazilian ML engineer without a long contract | Limited | Strong | Revelo |
| Budgeting a nearshore AI team from published salary data | Strong | Strong | Both equally |
Verdict: Pento vs Revelo
Pento (4.0/5) is the stronger overall choice for most AI Staff Augmentation projects. Published mid-range rate with close U.S. Eastern overlap.
Revelo (4.0/5) is worth a look if you need budgeting a nearshore AI team from published salary data. If your situation matches that, Revelo is a competitive option.
Related comparisons
Pento vs Revelo FAQ
Is Pento better than Revelo?
Pento (4.0/5) scores higher overall, but "better" depends on your use case. Pento's strongest advantage: rate band and minimum are public. Revelo's strongest advantage: no upfront fee or long-term contract.
How do Pento and Revelo differ in pricing?
Pento uses $50–$99/hr (clutch band); augmentation or project delivery pricing with a minimum engagement of $25,000+. Revelo uses monthly per engineer; no upfront fees or long-term contracts (per company); senior ai/ml all-in cost about $103,000/yr (company benchmark) pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Pento or Revelo?
Revelo is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Pento and Revelo?
Pento's primary differentiator is: published mid-range rate with close U.S. Eastern overlap. Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. They also differ in team size (10–49 vs 400,000+ network (company figure)), minimum engagement ($25,000+ vs Not published), and primary industries served (Retail, Fintech vs Technology, Fintech).
Verify all details directly with each provider before making a decision.