Quantiphi
The AI firm that can fill a dozen ML roles in one quarter
What is Quantiphi?
Quantiphi, based in Marlborough, Massachusetts and founded in 2013, is the largest company on this page that works only on AI and data, with directory estimates between 3,000 and more than 4,000 people. Its Elastic Staffing program, built with AWS, places generative AI and ML specialists into client teams. That scale is the reason it ranks here: no other AI-only supplier can staff ML, MLOps, data and LLM roles in parallel. Google Cloud named it 2025 AI Partner of the Year for North America. The cost is attention, since staffing is one product inside a large consulting business.
Quantiphi works primarily with clients in Healthcare, Financial services, Energy, Retail, Media sectors. Its primary differentiator is: The biggest AI-only bench here, sold through a named staffing program with AWS.
Quantiphi tech stack and services
| Service area |
|---|
| ML Engineers |
| LLM Engineers |
| MLOps Engineers |
| Data Engineers |
| Computer Vision Engineers |
| Dedicated Teams |
Quantiphi pricing
Short answer: Quantiphi uses a elastic staffing billed per specialist; consulting quoted separately; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated engineer | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Project delivery | Variable; depends on team size | Large programmes or team augmentation |
Quantiphi pros and cons
| Advantages | Things to consider |
|---|---|
| +Can staff several AI specialties in parallel, which no other AI-only firm here can | -Requests for one or two engineers compete with large consulting programs |
| +Top partner tiers with Google Cloud and AWS help on cloud-specific ML roles | -Rates appear only after scoping |
| +A named staffing product makes procurement simpler | -Headcount estimates vary widely between sources |
Quantiphi vs alternatives
How Quantiphi compares to the other top AI Engineer Staffing companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | CTOs who want an engineer, not a recruiter,... | Senior AI engineers run a code review and a specialization-specific task on every candidate | 4.8 | Full comparison |
| deepsense.ai | Teams that need a senior ML researcher who... | A research-heavy bench of about 120 employed AI specialists with ten years of production work | 4.6 | Full comparison |
| Toptal | Engineering leads who need one senior freelance ML... | Multi-stage screening that ends with interviews by senior engineers and a test project | 4.5 | Full comparison |
| Proxify | European companies that want a vetted ML or... | Senior-engineer interviews with live coding after an automated skills test | 4.4 | Full comparison |
| InData Labs | Product teams that need a computer-vision or NLP... | Ten years of computer-vision and NLP delivery in an AI-only company | 4.4 | Full comparison |
| Neurons Lab | Banks and insurers that need agent or LLM... | A 500-engineer network managed by a small AI-only core team in London | 4.3 | Full comparison |
| Index.dev | Startups that want a 30-day refundable trial before... | A 30-day trial with full refund on every placement | 4.2 | Full comparison |
| Vstorm | Teams whose LLM agent prototype needs engineers who... | A team that works almost entirely on LLM agents and RAG | 4.2 | Full comparison |
| Turing | Companies that need many remote ML and data... | Automated vetting and matching across the largest developer pool on this page | 4.1 | Full comparison |
| Andela | Companies building a long-term remote engineering group outside... | Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy | 4.1 | Full comparison |
| Uvik Software | Python-heavy teams that want employed senior engineers rather... | A no-freelancer policy with senior Python engineers who average seven years or more | 4.1 | Full comparison |
| SciForce | Healthcare data teams that need NLP or data... | Medical data science experience plus a documented multi-year placement engagement | 4.0 | Full comparison |
| Fusemachines | Cost-conscious companies that want mid-level ML engineers from... | Its own AI education programs feed an employed bench in emerging markets | 4.0 | Full comparison |
| Addepto | Industrial and automotive companies that need data engineers... | Data and ML engineers with industrial and automotive client history | 4.0 | Full comparison |
| Folio3 | Teams that need an MLOps or computer-vision engineer... | Very fast start times with a two-week trial and offshore pricing | 3.9 | Full comparison |
| Azumo | U.S. teams on a tight budget that need... | The lowest published hourly band on this page with full U.S. time-zone overlap | 3.9 | Full comparison |
| BairesDev | U.S. companies that need ML engineers alongside a... | Thousands of Latin American engineers available in U.S. time zones | 3.9 | Full comparison |
| N-iX | Large companies that want ML and data engineers... | Scale and two decades of history in Central European delivery | 3.9 | Full comparison |
| Svitla Systems | Mid-size companies that want one supplier for ML... | Engineers in both Latin American and European time zones from one supplier | 3.9 | Full comparison |
| Data Science UA | Companies that want to hire Ukrainian ML engineers... | A large AI community and conference series that feeds its recruiting | 3.8 | Full comparison |
| Tribe AI | Leadership teams that want a part-time senior ML... | Part-time access to senior ML practitioners from large tech companies | 3.8 | Full comparison |
| Strider | U.S. startups that want to hire a Latin... | Hiring plus retention support for Latin American developers | 3.8 | Full comparison |
| Coderio | U.S. teams that need a managed nearshore squad... | Squads assembled within seven days, with managed delivery as an option | 3.8 | Full comparison |
| Qubit Labs | Cost-conscious teams that can write a precise brief... | Recruiting across several lower-cost Eastern European countries | 3.7 | Full comparison |
| micro1 | AI teams that need many vetted contributors quickly... | Automated AI interviews that screen candidates in high volume | 3.7 | Full comparison |
| Mercor | AI labs and research teams that need specialist... | AI-run interviews and matching built for high-volume expert hiring | 3.7 | Full comparison |
| Harnham | Companies hiring permanent data or ML staff in... | Twenty years of recruiting only in data and analytics | 3.7 | Full comparison |
| KORE1 | U.S. companies that want a local agency to... | A U.S. staffing agency with contract-to-hire terms for AI roles | 3.6 | Full comparison |
Quantiphi FAQ
What is Quantiphi?
The AI firm that can fill a dozen ML roles in one quarter
How much does Quantiphi charge?
Quantiphi uses elastic staffing billed per specialist; consulting quoted separately; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Quantiphi use?
Quantiphi works with Python, TensorFlow, PyTorch, Google Cloud, AWS, Amazon Bedrock, Databricks, Snowflake, Kubernetes. Primary industries served include Healthcare, Financial services, Energy, Retail, Media.
Is Quantiphi right for enterprise?
Enterprises that need many AI roles filled at once by one AI-only supplier. 3,000–4,000+ team size. Key consideration: Requests for one or two engineers compete with large consulting programs.
What are the best Quantiphi alternatives?
The best alternatives to Quantiphi depend on your use case. Top options are:
- Tensorway: senior ai engineers run a code review and a specialization-specific task on every candidate
- deepsense.ai: a research-heavy bench of about 120 employed ai specialists with ten years of production work
- Toptal: multi-stage screening that ends with interviews by senior engineers and a test project
Compare Quantiphi with other AI Engineer Staffing companies
Verify all details directly with Quantiphi before making a decision.