Top AI Engineer Staffing Companies

Neurons Lab vs Index.dev: full comparison for 2026

Quick verdict

Neurons Lab (4.3/5) edges ahead of Index.dev (4.2/5) overall. Neurons Lab is the better choice for banks and insurers that need agent or LLM engineers who have worked under financial regulation. Index.dev is the stronger option for startups that want a 30-day refundable trial before committing to a remote ML engineer. The right choice depends on your project size, budget, and required tech stack.

Neurons Lab vs Index.dev: head-to-head summary

Criterion Neurons Lab Index.dev
Founded 2019 2019
HQ London, United Kingdom London, United Kingdom
Team size 50–200 staff; 500+ network 30,000+ network
Rating 4.3 / 5 4.2 / 5
Primary differentiator A 500-engineer network managed by a small AI-only core team in London A 30-day trial with full refund on every placement
Pricing model Monthly team or per-engineer billing; projects quoted separately; rates on request Monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request
Min. engagement Not published Not published
Primary tech stack Python, PyTorch, LangChain Python, PyTorch, TensorFlow
Industries served Financial services, Insurance, Healthcare, Cleantech, Retail SaaS, Fintech, E-commerce, Healthcare, AI labs

Neurons Lab vs Index.dev: overview

Neurons Lab

Neurons Lab was founded in London in 2019 and works on AI research, development and consulting. Its own site describes a distributed talent network of more than 500 engineers, which is far larger than the 50 or so people directories list as staff. That network model lets it add ML, LLM and agent engineers to client teams without hiring each one first. It names banks and insurers among its clients and holds an AWS generative AI competency. The firm also works in healthtech and cleantech.

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.

Services and capabilities: Neurons Lab vs Index.dev

Capability Neurons Lab Index.dev
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: Neurons Lab vs Index.dev

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

Pricing comparison: Neurons Lab vs Index.dev

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

Target audience comparison: Neurons Lab vs Index.dev

Dimension Neurons Lab Index.dev
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Insurance, Healthcare SaaS, Fintech, E-commerce
Best use cases Adding an agent engineer to an insurer's claims automation project, Bringing in a RAG specialist for a bank's internal knowledge assistant Trialling a Latin American ML engineer for a month before committing, Hiring a PhD-level specialist to fine-tune an open-source LLM
Typical project type Dedicated engineer Dedicated engineer

Neurons Lab vs Index.dev: pros and cons

Neurons Lab
+ Strong references in banking and insurance
+ AWS generative AI competency is useful for Bedrock projects
+ Network model makes part-time specialists easier to arrange
- Most engineers are network members, not employees, so continuity varies
- Headcount estimates range from 11 to 200
- Staff augmentation is not described as a separate product
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

Who should choose Neurons Lab?

A typical fit: adding an agent engineer to an insurer's claims automation project.

A 500-engineer network managed by a small AI-only core team in London. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Healthcare, Cleantech, Retail.

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.

Decision matrix: Neurons Lab vs Index.dev

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 Neurons Lab
You need several engineers working as one team Neurons Lab
You want to test an engineer before committing Index.dev
Your budget is at the lower end Compare: Neurons Lab (Not published) vs Index.dev (Not published)
Your team works U.S. hours Index.dev
You may want to hire the engineer permanently later Index.dev

Use case fit: Neurons Lab vs Index.dev

Use case Neurons Lab fit Index.dev fit Winner
Adding an agent engineer to an insurer's claims automation project Strong Limited Neurons Lab
Bringing in a RAG specialist for a bank's internal knowledge assistant Strong Limited Neurons Lab
Trialling a Latin American ML engineer for a month before committing Limited Strong Index.dev
Hiring a PhD-level specialist to fine-tune an open-source LLM Strong Strong Both equally

Verdict: Neurons Lab vs Index.dev

Neurons Lab (4.3/5) is the stronger overall choice for most AI Engineer Staffing projects. A 500-engineer network managed by a small AI-only core team in London.

Index.dev (4.2/5) is worth a look if you need hiring a PhD-level specialist to fine-tune an open-source LLM. If your situation matches that, Index.dev is a competitive option.

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Neurons Lab vs Index.dev FAQ

Is Neurons Lab better than Index.dev?

Neurons Lab (4.3/5) scores higher overall, but "better" depends on your use case. Neurons Lab's strongest advantage: strong references in banking and insurance. Index.dev's strongest advantage: the 30-day refundable trial is the most generous published trial on this page.

How do Neurons Lab and Index.dev differ in pricing?

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

Neurons Lab 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 Neurons Lab and Index.dev?

Neurons Lab's primary differentiator is: a 500-engineer network managed by a small AI-only core team in London. Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. They also differ in team size (50–200 staff; 500+ network vs 30,000+ network), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Insurance vs SaaS, Fintech).

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