Top AI Staff Augmentation Services

Tensorway vs micro1: full comparison for 2026

Quick verdict

Tensorway (4.8/5) edges ahead of micro1 (3.7/5) overall. Tensorway is the better choice for starting small, testing fast and adjusting headcount every month. 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.

Tensorway vs micro1: head-to-head summary

Criterion Tensorway micro1
Founded 2019 2022
HQ Alicante, Spain California, USA
Team size 50–249 Estimates vary widely
Rating 4.8 / 5 3.7 / 5
Primary differentiator Full-time, part-time and two-week trial options from the same AI-only provider High-volume AI interviews and a one-week test
Pricing model Monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request Hourly or monthly per contractor; one-week test; rates on request
Min. engagement Not disclosed Not published
Primary tech stack Python, PyTorch, LangChain Python, PyTorch, OpenAI
Industries served Legal services, SaaS, Fintech, Healthcare, Retail and e-commerce, Logistics AI labs, Technology, SaaS, Finance, Healthcare

Tensorway vs micro1: overview

Tensorway

Tensorway, based in Alicante, Spain since 2019, sells AI engineers in three shapes, and that flexibility is why it tops this list. A full-time dedicated engineer is billed at a monthly rate. A part-time fractional expert is billed by the hour or the week. Either way, the work starts with a two-week trial sprint, and the commitment is monthly, so a team can grow or shrink between sprints (per company website; independently unverifiable). Its engineering habits come from a lineage of more than 20 years in software. Squads usually begin with two to five LLM, agent or data engineers, and Tensorway handles contracts and admin. In one published case, U.S. law practice Liner Legal cut medical-record review from about a week to 5–15 minutes (per company website; independently unverifiable).

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: Tensorway vs micro1

Capability Tensorway 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: Tensorway vs micro1

Framework / platform Tensorway micro1
PyTorch ✓ ✓
TensorFlow N/A N/A
LangChain ✓ ✓
Hugging Face ✓ N/A
OpenAI ✓ ✓
AWS ✓ ✓
Azure N/A N/A
Google Cloud ✓ N/A
Databricks N/A N/A
Kubernetes ✓ N/A

Pricing comparison: Tensorway vs micro1

Criterion Tensorway micro1
Minimum engagement Not disclosed Not published
Engagement models Full-time dedicated, Part-time fractional, Trial period Freelance contract, Trial period
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Tensorway vs micro1

Dimension Tensorway micro1
Best company size Startup to mid-market Startup to mid-market
Best industries Legal services, SaaS, Fintech AI labs, Technology, SaaS
Best use cases Starting with a two-week trial sprint before hiring a full-time LLM engineer, Adding a part-time agent specialist ten hours a week to review an in-house build Hiring twenty model evaluators, Testing a contract ML engineer for a week
Typical project type Full-time dedicated Freelance contract

Tensorway vs micro1: pros and cons

Tensorway
+ You can buy a whole engineer, part of one, or a two-week trial first, without switching providers
+ Monthly commitment that can change between sprints, and a free replacement if someone doesn't fit (per company website)
+ No recruiting fees, local employment contracts or benefits admin on your side
+ Senior AI engineers screen candidates with a code review and a practical task
- No published rate card; you need a call to get numbers
- Covers AI and ML roles only, so general software seats need another provider
- Time-zone overlap is arranged per engagement rather than promised as a nearshore model
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 Tensorway?

A typical fit: starting with a two-week trial sprint before hiring a full-time LLM engineer.

Full-time, part-time and two-week trial options from the same AI-only provider. Minimum engagement is not publicly disclosed. Works best with clients in Legal services, SaaS, Fintech, Healthcare, Retail and e-commerce, Logistics.

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: Tensorway vs micro1

Your situation Recommended choice
You want one engineer full-time on a monthly contract Tensorway
You only need a specialist a few days a week Tensorway
You want to test an engineer before committing Both; Tensorway rates higher overall
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: Tensorway (Not disclosed) 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 Tensorway

Use case fit: Tensorway vs micro1

Use case Tensorway fit micro1 fit Winner
Starting with a two-week trial sprint before hiring a full-time LLM engineer Strong Limited Tensorway
Adding a part-time agent specialist ten hours a week to review an in-house build Strong Limited Tensorway
Hiring twenty model evaluators Strong Strong Both equally
Testing a contract ML engineer for a week Limited Strong micro1

Verdict: Tensorway vs micro1

Tensorway (4.8/5) is the stronger overall choice for most AI Staff Augmentation projects. Full-time, part-time and two-week trial options from the same AI-only provider.

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.

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Tensorway vs micro1 FAQ

Is Tensorway better than micro1?

Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: you can buy a whole engineer, part of one, or a two-week trial first, without switching providers. micro1's strongest advantage: one-week test.

How do Tensorway and micro1 differ in pricing?

Tensorway uses monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card 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: Tensorway or micro1?

Tensorway 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 Tensorway and micro1?

Tensorway's primary differentiator is: Full-time, part-time and two-week trial options from the same AI-only provider. micro1's primary differentiator is: high-volume AI interviews and a one-week test. They also differ in team size (50–249 vs Estimates vary widely), minimum engagement (Not disclosed vs Not published), and primary industries served (Legal services, SaaS vs AI labs, Technology).

Verify all details directly with each provider before making a decision.