Top AI Engineer Staffing Companies

Index.dev vs Fusemachines: full comparison for 2026

Quick verdict

Index.dev (4.2/5) edges ahead of Fusemachines (4.0/5) overall. Index.dev is the better choice for startups that want a 30-day refundable trial before committing to a remote ML engineer. Fusemachines is the stronger option for cost-conscious companies that want mid-level ML engineers from a publicly listed supplier. The right choice depends on your project size, budget, and required tech stack.

Index.dev vs Fusemachines: head-to-head summary

Criterion Index.dev Fusemachines
Founded 2019 2013
HQ London, United Kingdom New York, USA
Team size 30,000+ network 250–500
Rating 4.2 / 5 4.0 / 5
Primary differentiator A 30-day trial with full refund on every placement Its own AI education programs feed an employed bench in emerging markets
Pricing model Monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request Monthly per engineer or team; projects quoted separately; rates on request
Min. engagement Not published Not published
Primary tech stack Python, PyTorch, TensorFlow Python, TensorFlow, PyTorch
Industries served SaaS, Fintech, E-commerce, Healthcare, AI labs Media, Financial services, Education, Retail, Healthcare

Index.dev vs Fusemachines: overview

Index.dev

Index.dev is a London company, founded in 2019 according to its own job ads, trading under the legal name Index Soft Limited. It calls itself an AI-first engineering talent platform. Its main network has more than 30,000 engineers in Latin America and Central and Eastern Europe, and a separate AI unit supplies Master's and PhD-level people for LLM fine-tuning and RAG work. Every engineer goes through five stages of vetting run by people, including a live screening call and technical validation, and Index.dev says about 1% are accepted. All placements come with a 30-day trial and a full refund if the match fails.

Fusemachines

Fusemachines was founded in New York in 2013 to bring AI talent and education to underserved countries, and it trains and employs engineers in Nepal, the Dominican Republic and elsewhere. It began trading on the Nasdaq in October 2025 after a SPAC merger, which makes its finances public. Clients can take on its engineers as dedicated AI staff or buy its products and projects. Its training programs feed the bench, so junior and mid-level ML engineers are easier to find here than senior researchers.

Services and capabilities: Index.dev vs Fusemachines

Capability Index.dev Fusemachines
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: Index.dev vs Fusemachines

Framework / platform Index.dev Fusemachines
PyTorch ✓ ✓
TensorFlow ✓ ✓
LangChain ✓ N/A
Hugging Face ✓ N/A
OpenAI ✓ ✓
AWS ✓ ✓
Azure N/A ✓
Google Cloud ✓ N/A
Databricks N/A ✓
Kubernetes N/A N/A

Pricing comparison: Index.dev vs Fusemachines

Criterion Index.dev Fusemachines
Minimum engagement Not published Not published
Engagement models Dedicated engineer, Dedicated team, Direct hire, Trial period Dedicated engineer, Dedicated team, Project delivery
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Index.dev vs Fusemachines

Dimension Index.dev Fusemachines
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, E-commerce Media, Financial services, Education
Best use cases Trialling a Latin American ML engineer for a month before committing, Hiring a PhD-level specialist to fine-tune an open-source LLM Adding two mid-level ML engineers for a media recommendation project, Staffing a data engineering team on a fixed budget
Typical project type Dedicated engineer Dedicated engineer

Index.dev vs Fusemachines: pros and cons

Index.dev
+ The 30-day refundable trial is the most generous published trial on this page
+ A separate AI unit for advanced work such as fine-tuning
+ Clients can hire directly as well as contract
- Vetting is human-led but not specifically run by ML engineers
- Network figures and acceptance rates are company claims
- Founding date only appears in job listings
Fusemachines
+ Public listing means audited financial disclosure
+ Lower rates than U.S. or Western European engineers
+ Dominican Republic team overlaps with U.S. hours
- Listed on the Nasdaq through a SPAC merger in October 2025, so its strategy may change under public-market pressure
- Bench skews toward mid-level engineers
- Nepal hours overlap poorly with the Americas

Who should choose Index.dev?

A typical fit: trialling a Latin American ML engineer for a month before committing.

A 30-day trial with full refund on every placement. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Healthcare, AI labs.

Who should choose Fusemachines?

A typical fit: adding two mid-level ML engineers for a media recommendation project.

Its own AI education programs feed an employed bench in emerging markets. Minimum engagement is not publicly disclosed. Works best with clients in Media, Financial services, Education, Retail, Healthcare.

Decision matrix: Index.dev vs Fusemachines

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 Fusemachines
You want to test an engineer before committing Index.dev
Your budget is at the lower end Compare: Index.dev (Not published) vs Fusemachines (Not published)
Your team works U.S. hours Both; Index.dev rates higher overall
You may want to hire the engineer permanently later Index.dev

Use case fit: Index.dev vs Fusemachines

Use case Index.dev fit Fusemachines fit Winner
Trialling a Latin American ML engineer for a month before committing Strong Limited Index.dev
Hiring a PhD-level specialist to fine-tune an open-source LLM Strong Limited Index.dev
Adding two mid-level ML engineers for a media recommendation project Limited Strong Fusemachines
Staffing a data engineering team on a fixed budget Limited Strong Fusemachines

Verdict: Index.dev vs Fusemachines

Index.dev (4.2/5) is the stronger overall choice for most AI Engineer Staffing projects. A 30-day trial with full refund on every placement.

Fusemachines (4.0/5) is worth a look if you need staffing a data engineering team on a fixed budget. If your situation matches that, Fusemachines is a competitive option.

Related comparisons

Index.dev vs Fusemachines FAQ

Is Index.dev better than Fusemachines?

Index.dev (4.2/5) scores higher overall, but "better" depends on your use case. Index.dev's strongest advantage: the 30-day refundable trial is the most generous published trial on this page. Fusemachines's strongest advantage: public listing means audited financial disclosure.

How do Index.dev and Fusemachines differ in pricing?

Index.dev uses monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request pricing. Fusemachines uses monthly per engineer or team; projects quoted separately; 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: Index.dev or Fusemachines?

Fusemachines 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 Index.dev and Fusemachines?

Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. Fusemachines's primary differentiator is: its own AI education programs feed an employed bench in emerging markets. They also differ in team size (30,000+ network vs 250–500), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Media, Financial services).

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