Revelo vs KORE1: full comparison for 2026
Quick verdict
Revelo (4.0/5) edges ahead of KORE1 (3.6/5) overall. Revelo is the better choice for U.S. companies that want a Latin American AI engineer without upfront fees or a long contract. KORE1 is the stronger option for U.S. companies that want to convert a contract AI engineer to staff. The right choice depends on your project size, budget, and required tech stack.
Revelo vs KORE1: head-to-head summary
| Criterion | Revelo | KORE1 |
|---|---|---|
| Founded | 2014 | 2005 |
| HQ | Miami, Florida, USA | Irvine, California, USA |
| Team size | 400,000+ network (company figure) | Not published |
| Rating | 4.0 / 5 | 3.6 / 5 |
| Primary differentiator | No upfront fees, no long-term contract and published salary benchmarks | Contract-to-hire terms for AI roles in the U.S |
| Pricing model | Monthly per engineer; no upfront fees or long-term contracts (per company); senior AI/ML all-in cost about $103,000/yr (company benchmark) | Contract bill rate or placement fee; contract-to-hire conversion; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, AWS, Azure |
| Industries served | Technology, Fintech, SaaS, Healthcare, AI labs | Technology, Healthcare, Manufacturing, Finance, Aerospace |
Revelo vs KORE1: overview
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.
KORE1
KORE1 is an IT and professional staffing agency in Irvine, California, which gives 2005 as its founding year in its company summary (its Irvine page mentions 1999). It recruits for ML, LLM, MLOps and GenAI roles on contract, contract-to-hire or direct-hire terms. Contract-to-hire is the buying model to note: you pay a bill rate while the engineer works for you, then convert them to staff if it works. KORE1 reports a 17-day average time-to-hire for IT roles. Screening is done by recruiters.
Services and capabilities: Revelo vs KORE1
| Capability | Revelo | KORE1 |
|---|---|---|
| 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: Revelo vs KORE1
| Framework / platform | Revelo | KORE1 |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Revelo vs KORE1
| Criterion | Revelo | KORE1 |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Freelance contract | Contract-to-hire, Direct hire, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs KORE1
| Dimension | Revelo | KORE1 |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Fintech, SaaS | Technology, Healthcare, Manufacturing |
| Best use cases | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data | Hiring an on-site ML engineer in California on contract-to-hire, Placing a contract MLOps engineer |
| Typical project type | Full-time dedicated | Contract-to-hire |
Revelo vs KORE1: pros and cons
| 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 |
| KORE1 | |
|---|---|
| + | Contract-to-hire path |
| + | U.S.-based candidates |
| + | Published time-to-hire figure |
| - | Recruiter-led screening |
| - | U.S. rates |
| - | AI is one category among many |
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.
Who should choose KORE1?
A typical fit: hiring an on-site ML engineer in California on contract-to-hire.
Contract-to-hire terms for AI roles in the U.S. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Healthcare, Manufacturing, Finance, Aerospace.
Decision matrix: Revelo vs KORE1
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Revelo |
| 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 | Neither publishes rates; ask both for a written rate card |
| Your budget is at the lower end | Compare: Revelo (Not published) vs KORE1 (Not published) |
| You may want to hire the engineer permanently later | KORE1 |
| You want several engineers working as one team | Neither lists dedicated teams; check team size before signing |
Use case fit: Revelo vs KORE1
| Use case | Revelo fit | KORE1 fit | Winner |
|---|---|---|---|
| Hiring a Brazilian ML engineer without a long contract | Strong | Strong | Both equally |
| Budgeting a nearshore AI team from published salary data | Strong | Limited | Revelo |
| Hiring an on-site ML engineer in California on contract-to-hire | Strong | Strong | Both equally |
| Placing a contract MLOps engineer | Limited | Strong | KORE1 |
Verdict: Revelo vs KORE1
Revelo (4.0/5) is the stronger overall choice for most AI Staff Augmentation projects. No upfront fees, no long-term contract and published salary benchmarks.
KORE1 (3.6/5) is worth a look if you need placing a contract MLOps engineer. If your situation matches that, KORE1 is a competitive option.
Related comparisons
Revelo vs KORE1 FAQ
Is Revelo better than KORE1?
Revelo (4.0/5) scores higher overall, but "better" depends on your use case. Revelo's strongest advantage: no upfront fee or long-term contract. KORE1's strongest advantage: contract-to-hire path.
How do Revelo and KORE1 differ in pricing?
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. KORE1 uses contract bill rate or placement fee; contract-to-hire conversion; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Revelo or KORE1?
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 Revelo and KORE1?
Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. KORE1's primary differentiator is: contract-to-hire terms for AI roles in the U.S. They also differ in team size (400,000+ network (company figure) vs Not published), minimum engagement (Not published vs Not published), and primary industries served (Technology, Fintech vs Technology, Healthcare).
Verify all details directly with each provider before making a decision.