Qubit Labs vs KORE1: full comparison for 2026
Quick verdict
Qubit Labs (3.7/5) edges ahead of KORE1 (3.6/5) overall. Qubit Labs is the better choice for cost-conscious teams that can write a precise brief for an Eastern European ML hire. KORE1 is the stronger option for U.S. companies that want a local agency to recruit ML engineers on contract-to-hire terms. The right choice depends on your project size, budget, and required tech stack.
Qubit Labs vs KORE1: head-to-head summary
| Criterion | Qubit Labs | KORE1 |
|---|---|---|
| Founded | 2016 | 2005 |
| HQ | Kyiv, Ukraine | Irvine, California, USA |
| Team size | 50–100 | Not published |
| Rating | 3.7 / 5 | 3.6 / 5 |
| Primary differentiator | Recruiting across several lower-cost Eastern European countries | A U.S. staffing agency with contract-to-hire terms for AI roles |
| Pricing model | Monthly per engineer with a service fee; rates on request | Contract bill rate or placement fee; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, AWS, Azure |
| Industries served | Technology, Fintech, E-commerce, Gaming, Healthcare | Technology, Healthcare, Manufacturing, Finance, Aerospace |
Qubit Labs vs KORE1: overview
Qubit Labs
Qubit Labs launched in 2016 as a Ukrainian IT outstaffing company and is now listed with headquarters in Tallinn or Kyiv depending on the source. It builds remote dedicated teams in Ukraine, Poland, Moldova, Georgia, Romania and other countries, and in recent years it has added AI staff augmentation and deep tech recruiting. Screening is recruiter-led. The firm is a practical option for cost-conscious teams that know exactly what they want, but it has less proven ML depth than AI-only suppliers.
KORE1
KORE1 is an IT and professional staffing agency headquartered in Irvine, California. Its own sources give both 1999 and 2005 as starting dates; we use 2005, the year in its company summary. It recruits on contract, contract-to-hire and direct-hire terms across IT, data and AI/ML, with pages for ML, LLM, MLOps and GenAI engineers. KORE1 reports an average time-to-hire of 17 days and 12-month retention of 92% for IT roles. Screening is done by recruiters, and AI is one category among many.
Services and capabilities: Qubit Labs vs KORE1
| Capability | Qubit Labs | KORE1 |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✗ | ✓ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✗ | ✓ |
| Computer vision engineers | ✗ | ✗ |
| NLP engineers | ✗ | ✗ |
| Data engineers | ✓ | ✗ |
| Engineer-led technical screen | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
| Direct hire option | ✗ | ✓ |
Tech stack comparison: Qubit Labs vs KORE1
| Framework / platform | Qubit Labs | KORE1 |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Qubit Labs vs KORE1
| Criterion | Qubit Labs | KORE1 |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team | Contract-to-hire, Direct hire, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Qubit Labs vs KORE1
| Dimension | Qubit Labs | KORE1 |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Fintech, E-commerce | Technology, Healthcare, Manufacturing |
| Best use cases | Hiring a Python ML engineer in Poland or Romania, Building a remote data team outside Ukraine | Hiring an on-site ML engineer in Southern California, Bringing in a contract MLOps engineer with a path to permanent |
| Typical project type | Dedicated engineer | Contract-to-hire |
Qubit Labs vs KORE1: pros and cons
| Qubit Labs | |
|---|---|
| + | Hires in several countries, not only Ukraine |
| + | Lower cost than Western European suppliers |
| + | Clients say shortlists arrive quickly |
| - | Recruiter-led screening for technical roles |
| - | AI staffing is a recent addition |
| - | Headquarters listed differently across sources |
| KORE1 | |
|---|---|
| + | U.S.-based candidates for on-site or hybrid roles |
| + | Contract-to-hire lets you test before a permanent offer |
| + | Published time-to-hire figure |
| - | Recruiter-led screening |
| - | AI is one category inside a general staffing business |
| - | U.S. rates, which are higher than nearshore or offshore options |
Who should choose Qubit Labs?
A typical fit: hiring a Python ML engineer in Poland or Romania.
Recruiting across several lower-cost Eastern European countries. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, E-commerce, Gaming, Healthcare.
Who should choose KORE1?
A typical fit: hiring an on-site ML engineer in Southern California.
A U.S. staffing agency with contract-to-hire terms for AI roles. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Healthcare, Manufacturing, Finance, Aerospace.
Decision matrix: Qubit Labs vs KORE1
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Qubit Labs |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Qubit Labs (Not published) vs KORE1 (Not published) |
| Your team works U.S. hours | Neither lists Latin American engineers; confirm overlap hours in the contract |
| You may want to hire the engineer permanently later | KORE1 |
Use case fit: Qubit Labs vs KORE1
| Use case | Qubit Labs fit | KORE1 fit | Winner |
|---|---|---|---|
| Hiring a Python ML engineer in Poland or Romania | Strong | Strong | Both equally |
| Building a remote data team outside Ukraine | Strong | Limited | Qubit Labs |
| Hiring an on-site ML engineer in Southern California | Strong | Strong | Both equally |
| Bringing in a contract MLOps engineer with a path to permanent | Limited | Strong | KORE1 |
Verdict: Qubit Labs vs KORE1
Qubit Labs (3.7/5) is the stronger overall choice for most AI Engineer Staffing projects. Recruiting across several lower-cost Eastern European countries.
KORE1 (3.6/5) is worth a look if you need bringing in a contract MLOps engineer with a path to permanent. If your situation matches that, KORE1 is a competitive option.
Related comparisons
Qubit Labs vs KORE1 FAQ
Is Qubit Labs better than KORE1?
Qubit Labs (3.7/5) scores higher overall, but "better" depends on your use case. Qubit Labs's strongest advantage: hires in several countries, not only Ukraine. KORE1's strongest advantage: U.S.-based candidates for on-site or hybrid roles.
How do Qubit Labs and KORE1 differ in pricing?
Qubit Labs uses monthly per engineer with a service fee; rates on request pricing. KORE1 uses contract bill rate or placement fee; 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: Qubit Labs or KORE1?
Qubit Labs is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Qubit Labs and KORE1?
Qubit Labs's primary differentiator is: recruiting across several lower-cost Eastern European countries. KORE1's primary differentiator is: a U.S. staffing agency with contract-to-hire terms for AI roles. They also differ in team size (50–100 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 company before making a decision.