deepsense.ai vs Index.dev: full comparison for 2026
Quick verdict
deepsense.ai (4.6/5) edges ahead of Index.dev (4.2/5) overall. deepsense.ai is the better choice for teams that need a senior ML researcher who can also put models into production. 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.
deepsense.ai vs Index.dev: head-to-head summary
| Criterion | deepsense.ai | Index.dev |
|---|---|---|
| Founded | 2014 | 2019 |
| HQ | Warsaw, Poland | London, United Kingdom |
| Team size | 100–200 | 30,000+ network |
| Rating | 4.6 / 5 | 4.2 / 5 |
| Primary differentiator | A research-heavy bench of about 120 employed AI specialists with ten years of production work | A 30-day trial with full refund on every placement |
| Pricing model | Team extension billed monthly per engineer; 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, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Manufacturing, Retail, Healthcare, Financial services, Technology | SaaS, Fintech, E-commerce, Healthcare, AI labs |
deepsense.ai vs Index.dev: overview
deepsense.ai
deepsense.ai has done AI work out of Warsaw since 2014, and its job listings describe a team of about 120 AI specialists who have delivered more than 200 commercial and research projects. Most of that team is employed directly, which matters if you want the same engineer for a year. The company sells team extension alongside its consulting work, and its recruiting ads ask for five or more years of production ML experience for senior roles. Strengths cluster around LLM and RAG systems, computer vision, defect detection and models that run on edge devices.
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: deepsense.ai vs Index.dev
| Capability | deepsense.ai | 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: deepsense.ai vs Index.dev
| Framework / platform | deepsense.ai | Index.dev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | ✓ |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: deepsense.ai vs Index.dev
| Criterion | deepsense.ai | Index.dev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, 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: deepsense.ai vs Index.dev
| Dimension | deepsense.ai | Index.dev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail, Healthcare | SaaS, Fintech, E-commerce |
| Best use cases | Embedding an MLOps engineer in a platform team for a long engagement, Adding a computer-vision specialist for an edge defect-detection model | 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 |
deepsense.ai vs Index.dev: pros and cons
| deepsense.ai | |
|---|---|
| + | Hiring ads for senior ML roles require five or more years of production experience |
| + | Engineers are mostly employees rather than contractors, which helps continuity |
| + | Deep computer-vision and edge-deployment experience, which few staffing firms can match |
| - | About 120 people, so large or sudden requests may wait |
| - | Staff augmentation is not its headline service; consulting projects get more of its marketing |
| - | No published rates or minimums |
| 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 deepsense.ai?
A typical fit: embedding an MLOps engineer in a platform team for a long engagement.
A research-heavy bench of about 120 employed AI specialists with ten years of production work. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail, Healthcare, Financial services, Technology.
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: deepsense.ai vs Index.dev
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | deepsense.ai |
| 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 | Neither lists dedicated teams; check team size before signing |
| You want to test an engineer before committing | Index.dev |
| Your budget is at the lower end | Compare: deepsense.ai (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: deepsense.ai vs Index.dev
| Use case | deepsense.ai fit | Index.dev fit | Winner |
|---|---|---|---|
| Embedding an MLOps engineer in a platform team for a long engagement | Strong | Limited | deepsense.ai |
| Adding a computer-vision specialist for an edge defect-detection model | Strong | Limited | deepsense.ai |
| 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 | Limited | Strong | Index.dev |
Verdict: deepsense.ai vs Index.dev
deepsense.ai (4.6/5) is the stronger overall choice for most AI Engineer Staffing projects. A research-heavy bench of about 120 employed AI specialists with ten years of production work.
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.
Related comparisons
deepsense.ai vs Index.dev FAQ
Is deepsense.ai better than Index.dev?
deepsense.ai (4.6/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: hiring ads for senior ML roles require five or more years of production experience. Index.dev's strongest advantage: the 30-day refundable trial is the most generous published trial on this page.
How do deepsense.ai and Index.dev differ in pricing?
deepsense.ai uses team extension billed monthly per engineer; 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: deepsense.ai or Index.dev?
deepsense.ai 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 deepsense.ai and Index.dev?
deepsense.ai's primary differentiator is: a research-heavy bench of about 120 employed AI specialists with ten years of production work. Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. They also differ in team size (100–200 vs 30,000+ network), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Retail vs SaaS, Fintech).
Verify all details directly with each company before making a decision.