Quantiphi
Editor's pick #1The largest AI-first engineering firm here, with a staffing program built alongside AWS
What is Quantiphi?
Quantiphi has worked only on AI, machine learning and data since it started in 2013, and it now employs somewhere between 3,000 and 4,000+ people, depending on which directory you trust. That makes it the biggest company on this page by a wide margin. Its staff augmentation product, Elastic Staffing, was built with AWS for teams that need generative AI or ML specialists faster than a normal hiring cycle allows. In one company case study, a U.S. energy supplier brought in eight specialists through the program and reported savings of more than $570K (per company website; independently unverifiable). The firm is headquartered in Marlborough, Massachusetts, and Google Cloud named it 2025 AI Partner of the Year for North America.
Quantiphi works primarily with clients in Healthcare & life sciences, Financial services, Energy & utilities, Retail & CPG, Media & gaming sectors. Its primary differentiator is: A multi-thousand-person AI and data bench with a named staffing program run with AWS.
Quantiphi tech stack and services
| Service area |
|---|
| ML Engineers |
| LLM Engineers |
| MLOps |
| Data Engineering |
| Computer Vision |
| NLP |
| Dedicated Teams |
Quantiphi pricing
Short answer: Quantiphi uses a elastic staffing billed per specialist; consulting projects 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 engineers | Variable; depends on team size | Large programmes or team augmentation |
| Embedded 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 |
|---|---|
| +No other AI-first company on this list can staff a dozen ML roles in parallel | -Staffing is one service inside a large consulting business, so small requests compete with big programs for attention |
| +Elastic Staffing gives procurement a defined product to buy, with AWS involved in the program | -No public rate card; pricing only appears after scoping |
| +Repeated Google Cloud partner awards, including 2025 AI Partner of the Year for North America | -Headcount figures disagree across sources, from about 3,000 to more than 4,100 |
| +Top partner tiers with AWS, Google Cloud and NVIDIA (per company job listings; independently unverifiable) |
Quantiphi vs alternatives
How Quantiphi compares to the other top AI-Native Staff Augmentation companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Product teams that want senior AI engineers inside... | Senior AI engineers run the screening, and knowledge transfer to in-house staff is part of every engagement | 4.5 | Full comparison |
| deepsense.ai | Long MLOps or computer-vision engagements that need senior... | A decade of ML-only delivery, with multi-year augmentation clients on record | 4.4 | Full comparison |
| Fusemachines | Mid-market and enterprise buyers who want AI engineers... | Its own AI education program feeds the engineering bench | 4.3 | Full comparison |
| InData Labs | Buyers who want an R&D-minded data science team... | Research-led data science with a dedicated-team option | 4.2 | Full comparison |
| Sigmoid | CPG and retail data teams that need ML... | Requirement-by-requirement split between project work and monthly staff augmentation | 4.2 | Full comparison |
| Data Science UA | Companies building a Ukrainian AI team they will... | Recruiting from Ukraine's largest AI community, with managed teams as an option | 4.1 | Full comparison |
| Algoscale | Budget-conscious teams that need data engineers and ML... | Data consulting experience bundled into staff augmentation, plus a free trial | 4.1 | Full comparison |
| Kanerika | Enterprises modernizing data platforms that want onshore, nearshore... | Three delivery models under one contract, from Austin, Argentina and India | 4.0 | Full comparison |
| Vstorm | Teams whose agent prototype works in a demo... | Senior agent engineers who join an existing team to fix reliability and integration | 4.0 | Full comparison |
| Fuzzy Labs | UK data science teams, including public sector, that... | Open-source MLOps specialists with security-cleared engineers for government work | 4.0 | Full comparison |
| Tribe AI | Companies that want senior AI engineers and product... | A curated network of senior AI practitioners deployed inside the client's organization | 4.0 | Full comparison |
| Addepto | Industrial and automotive companies adding AI and data... | AI-heavy team with manufacturing domain experience, now backed by a larger group | 3.9 | Full comparison |
| Neurons Lab | Banks and insurers that need agentic AI engineers... | Financial-services AI with AWS GenAI competency and forward-deployed engineers | 3.9 | Full comparison |
| Merantix Momentum | German industrial companies that want an outside ML... | Operates as a company's ML function, backed by the Merantix AI ecosystem | 3.9 | Full comparison |
| Sciforce | Healthcare and scientific data projects that need NLP... | Medical and scientific data experience in a small AI-first firm | 3.9 | Full comparison |
| Pento | U.S. startups and mid-market firms that want nearshore... | AI-only engineering from Uruguay with full U.S. working-hour overlap | 3.9 | Full comparison |
| DataToBiz | Analytics teams that need BI and data science... | Fast placement of data and BI specialists with AI skills | 3.8 | Full comparison |
| Sigmoidal | U.S. companies that want a small ML team... | Data-centric ML specialists with a staff augmentation model for long engagements | 3.8 | Full comparison |
| Omdena | Startups and mission-driven organizations that want to see... | Challenge-based vetting where engineers solve your real problem before you hire | 3.8 | Full comparison |
| micro1 | Startups that want vetted remote AI developers quickly,... | AI-run vetting at volume plus employer-of-record payroll | 3.8 | Full comparison |
| Dataroots | Benelux enterprises that need ML and data engineers... | Benelux data platform specialists backed by Talan's wider consulting group | 3.8 | Full comparison |
| BroutonLab | Startups that need a PhD-level data scientist part-time... | Fractional deep learning experts at a published hourly rate | 3.7 | Full comparison |
| Experfy | Enterprises that want a private, pre-vetted pool of... | Private talent clouds with expert vetting and employer-of-record cover | 3.7 | Full comparison |
| Dataforest | Companies that need data engineers who can also... | Data engineering depth with AI agent work on top | 3.7 | Full comparison |
| BotsCrew | Companies adding chatbot or voice-agent engineers to a... | Nearly a decade of conversational AI work, now with U.S. ownership | 3.7 | Full comparison |
| Brainpool AI | Buyers who need a rare academic AI specialist... | Academic-heavy expert network across 23 countries | 3.6 | Full comparison |
| Mercor | AI labs and companies that need evaluation or... | AI interviewing that can screen very large candidate pools quickly | 3.6 | Full comparison |
| Data Pilot | Small budgets that need a data and ML... | Low-cost data and ML team that can also manage the developers it sources | 3.6 | Full comparison |
Quantiphi FAQ
What is Quantiphi?
The largest AI-first engineering firm here, with a staffing program built alongside AWS
How much does Quantiphi charge?
Quantiphi uses elastic staffing billed per specialist; consulting projects 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 Vertex AI, AWS SageMaker, Amazon Bedrock, Databricks, Snowflake, Kubernetes. Primary industries served include Healthcare & life sciences, Financial services, Energy & utilities, Retail & CPG, Media & gaming.
Is Quantiphi right for enterprise?
Enterprises that need several AI specialists at once from a single AI-only supplier. 3,000–4,000+ (directory estimates vary) team size. Key consideration: Staffing is one service inside a large consulting business, so small requests compete with big programs for attention.
What are the best Quantiphi alternatives?
The best alternatives to Quantiphi depend on your use case. Top options are:
- Tensorway: senior ai engineers run the screening, and knowledge transfer to in-house staff is part of every engagement
- deepsense.ai: a decade of ml-only delivery, with multi-year augmentation clients on record
- Fusemachines: its own ai education program feeds the engineering bench
Compare Quantiphi with other AI-Native Staff Augmentation companies
Verify all details directly with Quantiphi before making a decision.