Quantiphi
AI-first engineering firm with heavy Google Cloud and AWS award history and a large document-AI practice
What is Quantiphi?
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and employs over 3,500 people, most of them in India. It reports 21 Google Cloud Partner of the Year awards over ten years and three AWS AI/ML Partner of the Year awards (per company materials; independently unverifiable). Document AI, contact-center AI, and healthcare and insurance workflows make up much of its integration work. Its size lets it staff large programs while still working only on AI and data.
Quantiphi works primarily with clients in Healthcare, Insurance, Financial services, Public sector, Media sectors. Its primary differentiator is: Partner-of-the-year history with both Google Cloud and AWS on AI work.
Quantiphi tech stack and services
| Service area |
|---|
| Google Cloud Partner |
| AWS Partner |
| Document Processing |
| Conversational AI |
| Data Platform Integration |
Quantiphi pricing
Short answer: Quantiphi prices its work as follows: fixed-scope projects, time & materials, and dedicated teams; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed-scope project | Quoted per project | A well-defined scope |
| Time & materials | Hourly; see pricing model above | Scope that will change as you learn |
| Dedicated team | Monthly team rate; not public | Continuing the build after a pilot |
Quantiphi pros and cons
| Advantages | Things to consider |
|---|---|
| +Partner depth on two hyperscalers instead of one. | -Most delivery is offshore, so time-zone overlap with U.S. or EU teams is partial |
| +Document AI and contact-center AI are mature practice areas. | -Fixed-price pilots aren't advertised as a standard entry point |
| +Enough staff to run several workstreams in parallel. | -Award counts come from the company itself |
| +A multi-year Google Cloud partnership announced in 2026 covers joint industry solutions. |
Quantiphi vs alternatives
How Quantiphi compares to the other top AI Integration Services providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Buyers who want a priced pilot before a... | Fixed-price audit and pilot, with the per-request API cost modeled before rollout | 4.8 | Full comparison |
| Provectus | AWS-centric companies adding generative AI. | AWS Premier Tier status with a gen-AI practice built around Bedrock | 4.6 | Full comparison |
| Slalom | Mid-size and large firms on several platforms at... | Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm | 4.5 | Full comparison |
| Neurons Lab | Banks and insurers piloting AI agents. | AWS Generative AI competency combined with a financial-services client base | 4.5 | Full comparison |
| deepsense.ai | Teams needing RAG and evaluation done properly. | Evaluation frameworks that test model output before it reaches users | 4.5 | Full comparison |
| RTS Labs | U.S. firms needing onshore-only delivery. | All-U.S. engineering team and early MCP integration work | 4.4 | Full comparison |
| Coastal Cloud | Salesforce customers rolling out Agentforce. | Summit-tier Salesforce practice concentrated on Agentforce and Data Cloud | 4.4 | Full comparison |
| Hitachi Solutions | Dynamics 365 shops adding Copilot. | A practice that works only on Microsoft technology, centered on Dynamics 365 | 4.4 | Full comparison |
| Datatonic | Companies whose data already lives in BigQuery. | Google Cloud focus with LLMOps tooling for monitored production models | 4.3 | Full comparison |
| Addepto | Manufacturers connecting AI to engineering data. | Integration work with industrial systems such as SCADA, CAD, and PLM | 4.3 | Full comparison |
| Master of Code Global | Support teams adding chat or voice agents. | Dedicated conversation designers working beside the engineers | 4.3 | Full comparison |
| Perficient | Mid-market Salesforce or Microsoft customers. | Agentforce capability expanded through the Kelley Austin acquisition | 4.2 | Full comparison |
| Avanade | Large Microsoft-standardized enterprises. | Microsoft-only scale, with Accenture as majority owner | 4.2 | Full comparison |
| Grid Dynamics | Retailers adding agentic commerce features. | Packaged agentic platforms (GAIN) sitting on top of custom engineering | 4.2 | Full comparison |
| Thoughtworks | Engineering-led teams with strict code standards. | Engineering practice reputation applied to AI-first delivery | 4.2 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade controls. | Risk, audit, and regulatory teams working next to the integrators | 4.1 | Full comparison |
| EPAM Systems | Enterprises with multi-year engineering budgets. | Engineering capacity across Europe, India, and the Americas for long AI programs | 4.1 | Full comparison |
| Globant | Buyers wanting subscription pricing on AI delivery. | AI Pods priced by output or consumption instead of hours | 4.1 | Full comparison |
| InData Labs | Smaller budgets, analytics and document AI. | Predictive analytics depth at mid-band European rates | 4.1 | Full comparison |
| Capgemini | Global firms outsourcing AI-run back-office processes. | Business-process outsourcing combined with agentic AI after the WNS deal | 4.0 | Full comparison |
| Persistent Systems | Cost-conscious enterprises with offshore teams. | Offshore engineering scale with its own gen-AI delivery platform | 4.0 | Full comparison |
| SoftServe | Document AI projects on Google Cloud. | Google Cloud Premier status with Document AI expertise | 4.0 | Full comparison |
| Azumo | U.S. startups wanting nearshore AI engineers. | Latin American engineers working U.S. hours | 4.0 | Full comparison |
| STX Next | Python-heavy product teams. | Python engineering depth applied to AI and data work | 4.0 | Full comparison |
| Miquido | Consumer apps adding AI features. | Product design and mobile skills around the AI work | 3.9 | Full comparison |
| Koombea | Product teams wanting fixed-scope AI sprints. | Story-point-scoped AI Pods in two-week cycles | 3.9 | Full comparison |
| ScienceSoft | Tight budgets needing a small first project. | Lowest published entry point on this list ($5K Clutch minimum) | 3.9 | Full comparison |
| Svitla Systems | Long-term AI team extension. | Dedicated teams split across Latin America and Eastern Europe | 3.9 | Full comparison |
| Coherent Solutions | Product companies needing steady engineering capacity. | Three decades of product engineering with a data and AI practice | 3.9 | Full comparison |
| N-iX | Enterprises connecting AI to SAP data. | SAP, Snowflake, and Palantir partnerships in one engineering firm | 3.9 | Full comparison |
| Vention | Funded startups needing AI developers fast. | Large developer pool for startup and scale-up teams | 3.8 | Full comparison |
| Itransition | Companies bundling AI with wider IT work. | AI/ML center of excellence within a wide IT services catalog | 3.8 | Full comparison |
| LeewayHertz | Buyers open to a platform-based build. | ZBrain platform for assembling enterprise AI apps | 3.8 | Full comparison |
Quantiphi FAQ
What is Quantiphi?
AI-first engineering firm with heavy Google Cloud and AWS award history and a large document-AI practice
How much does Quantiphi charge?
Pricing model: fixed-scope projects, time & materials, and dedicated teams; rates on request. 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 Vertex AI, AWS Bedrock, Snowflake, NVIDIA, Python, BigQuery. Primary industries served include Healthcare, Insurance, Financial services, Public sector, Media.
Is Quantiphi right for enterprise?
Best for: large document-heavy programs on Google Cloud or AWS. Team size: 3,500+. Key consideration: Most delivery is offshore, so time-zone overlap with U.S. or EU teams is partial.
What are the best Quantiphi alternatives?
The best alternatives to Quantiphi depend on your use case. Top options are:
- Tensorway: fixed-price audit and pilot, with the per-request API cost modeled before rollout
- Provectus: AWS Premier Tier status with a gen-AI practice built around Bedrock
- Slalom: partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm
Compare Quantiphi with other AI Integration Services providers
Verify all details directly with Quantiphi before making a decision.