Go Fractional vs micro1: full comparison for 2026
Quick verdict
Go Fractional (4.1/5) edges ahead of micro1 (3.7/5) overall. Go Fractional is the better choice for startups that need a senior AI engineer for a few hours a week on a monthly retainer. micro1 is the stronger option for many contract contributors, with a short test before paying for longer. The right choice depends on your project size, budget, and required tech stack.
Go Fractional vs micro1: head-to-head summary
| Criterion | Go Fractional | micro1 |
|---|---|---|
| Founded | 2021 | 2022 |
| HQ | New York, USA | California, USA |
| Team size | Not published; network of fractional professionals | Estimates vary widely |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Primary differentiator | A marketplace built only around part-time professionals | High-volume AI interviews and a one-week test |
| Pricing model | Monthly retainer for part-time engagements; rates on request | Hourly or monthly per contractor; one-week test; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, OpenAI | Python, PyTorch, OpenAI |
| Industries served | SaaS, Fintech, Healthcare, E-commerce, Technology | AI labs, Technology, SaaS, Finance, Healthcare |
Go Fractional vs micro1: overview
Go Fractional
Go Fractional was founded in 2021 and is based in New York. It matches companies with experienced professionals who work part-time, across engineering, product, marketing and other functions, and it has dedicated pages for hiring fractional AI developers and engineers. It says most companies are matched and onboarding within three days. Fractional work is the whole model here, not an add-on, so it suits buyers who need senior judgment a few hours a week. It is less suited to buyers who need several engineers writing code full-time.
micro1
micro1 was founded in 2022 and is based in California. Its AI recruiter, Zara, interviews every applicant for 20 to 40 minutes, which lets it screen in high volume. Buyers can take contractors hourly or monthly and start with a one-week test. It raised a Series A at a $500 million valuation in September 2025, and most of its business now supplies experts to AI labs. Product teams can still buy engineers, but an automated interview is not an engineer's review.
Services and capabilities: Go Fractional vs micro1
| Capability | Go Fractional | micro1 |
|---|---|---|
| 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: Go Fractional vs micro1
| Framework / platform | Go Fractional | micro1 |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Go Fractional vs micro1
| Criterion | Go Fractional | micro1 |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Part-time fractional | Freelance contract, Trial period |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Go Fractional vs micro1
| Dimension | Go Fractional | micro1 |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | AI labs, Technology, SaaS |
| Best use cases | Hiring a part-time AI lead to set a startup's roadmap, Adding an LLM engineer one day a week | Hiring twenty model evaluators, Testing a contract ML engineer for a week |
| Typical project type | Part-time fractional | Freelance contract |
Go Fractional vs micro1: pros and cons
| Go Fractional | |
|---|---|
| + | Part-time hiring is the core product |
| + | Matching within about three days (per company) |
| + | Covers AI leadership as well as hands-on engineers |
| - | Not built for full-time or team staffing |
| - | Founded in 2021, so a short track record |
| - | Vetting process is not described in detail |
| micro1 | |
|---|---|
| + | One-week test |
| + | Very fast screening |
| + | Large contributor pool |
| - | AI interviews instead of engineer review |
| - | Focus on AI-lab work |
| - | Headquarters differs by source |
Who should choose Go Fractional?
A typical fit: hiring a part-time AI lead to set a startup's roadmap.
A marketplace built only around part-time professionals. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Healthcare, E-commerce, Technology.
Who should choose micro1?
A typical fit: hiring twenty model evaluators.
High-volume AI interviews and a one-week test. Minimum engagement is not publicly disclosed. Works best with clients in AI labs, Technology, SaaS, Finance, Healthcare.
Decision matrix: Go Fractional vs micro1
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Neither lists full-time placements; ask about minimum hours |
| You only need a specialist a few days a week | Go Fractional |
| You want to test an engineer before committing | micro1 |
| 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: Go Fractional (Not published) vs micro1 (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: Go Fractional vs micro1
| Use case | Go Fractional fit | micro1 fit | Winner |
|---|---|---|---|
| Hiring a part-time AI lead to set a startup's roadmap | Strong | Strong | Both equally |
| Adding an LLM engineer one day a week | Strong | Limited | Go Fractional |
| Hiring twenty model evaluators | Strong | Strong | Both equally |
| Testing a contract ML engineer for a week | Limited | Strong | micro1 |
Verdict: Go Fractional vs micro1
Go Fractional (4.1/5) is the stronger overall choice for most AI Staff Augmentation projects. A marketplace built only around part-time professionals.
micro1 (3.7/5) is worth a look if you need testing a contract ML engineer for a week. If your situation matches that, micro1 is a competitive option.
Related comparisons
Go Fractional vs micro1 FAQ
Is Go Fractional better than micro1?
Go Fractional (4.1/5) scores higher overall, but "better" depends on your use case. Go Fractional's strongest advantage: part-time hiring is the core product. micro1's strongest advantage: one-week test.
How do Go Fractional and micro1 differ in pricing?
Go Fractional uses monthly retainer for part-time engagements; rates on request pricing. micro1 uses hourly or monthly per contractor; one-week test; 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: Go Fractional or micro1?
Go Fractional 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 Go Fractional and micro1?
Go Fractional's primary differentiator is: a marketplace built only around part-time professionals. micro1's primary differentiator is: high-volume AI interviews and a one-week test. They also differ in team size (Not published; network of fractional professionals vs Estimates vary widely), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs AI labs, Technology).
Verify all details directly with each provider before making a decision.