Quantiphi
Independent profile of Quantiphi with reviewed buyer-fit guidance and explicit unknowns where public evidence is not verified.
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Summary
Quantiphi is best for healthcare, financial-services, public-sector, or media buyers building production AI and machine-learning systems on Google Cloud or AWS with an AI-first specialist of approximately 3,100 employees.
Poor fit: Quantiphi is the wrong fit for an Azure-first program or an engagement requiring a predominantly US-based onsite team, because Azure is a secondary practice and roughly 87% of its workforce is based in India.
Buyer-fit verdict reviewed: 2026-07-12
Public evidence summary
- Pricing
- Not publicly verified
- Team size
- Not publicly verified
- Verified platforms
- Not publicly verified
- Verified workstreams
- Not publicly verified
- Engagement models
- Not publicly verified
- Company-size fit
- Not publicly verified
Unknown means no normalized observation has passed the publication gate. It does not mean zero, unavailable, or unsuitable. Public pricing signals are not invoices or guaranteed quotes.
Questions to Ask Quantiphi
Before engaging with Quantiphi, here are key questions to help you evaluate fit:
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Team Composition: " What percentage of the team assigned to our engagement will be onshore (US-based) vs. offshore? Can we interview the lead architect and delivery manager before signing?"
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Platform vs. Custom Build: " Which of your proprietary platforms (baioniq, Codeaira, QDox, Dociphi) would apply to our use case? What does the licensing or access model look like, and do we retain ownership of custom models trained on our data?"
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Google Cloud vs. AWS Depth: " Our workloads are split between Google Cloud and AWS. Which platform does the proposed team have more recent delivery experience on, and how is the team structured across both?"
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Pricing and Scope: " What is your typical engagement structure for a project of this scope — fixed fee, time-and-materials, outcome-based, or pod model? What does a mid-range project cost, and what drives variation?"
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From Pilot to Production: " You mention moving customers from 'pilot purgatory' to production. What specifically does your TSaaS model change in the delivery approach, and what obligations does our internal team take on post-engagement?"
Red flags to watch for:
- ⚠ Offshore team composition disclosed only after contract signing — get the named team and offshore/onshore split in writing upfront
- ⚠ Vague platform licensing terms for baioniq or QDox — confirm data ownership, model portability, and what happens if the engagement ends
- ⚠ Generic GenAI advisory that doesn't map to a specific platform (GCP or AWS) — Quantiphi's value is platform-depth; a cloud-agnostic pitch from them is a yellow flag
- ⚠ No named case studies in your industry — their track record is real but concentrated in healthcare, insurance, and public sector; verify fit for other verticals
- ⚠ Outcome-based TSaaS framing without a clear definition of what 'outcomes' are measured and how disputes are resolved
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Browse declared profile categories
These category links come from the site topology registry. Platform labels are navigation topics, not verified partner status.
Quantiphi — frequently asked questions
Is Quantiphi a good cloud consulting firm?
Quantiphi is best for healthcare, financial-services, public-sector, or media buyers building production AI and machine-learning systems on Google Cloud or AWS with an AI-first specialist of approximately 3,100 employees. Quantiphi is the wrong fit for an Azure-first program or an engagement requiring a predominantly US-based onsite team, because Azure is a secondary practice and roughly 87% of its workforce is based in India.
How much does Quantiphi cost?
Cloud Consulting Intel has not verified a public pricing range for Quantiphi. Unknown does not mean free or unavailable; request a scoped quote.
What public team-size evidence is available for Quantiphi?
Cloud Consulting Intel has not verified a comparable team-size observation for Quantiphi. Company headcount, cloud-practice headcount, and certified staff are different scopes and are not inferred from one another.
Which cloud platforms does Quantiphi support?
No platform relationship has passed Cloud Consulting Intel's public evidence gate for Quantiphi. Profile topic tags are navigation aids, not verified partner status.
Key Facts
- Headquarters
- Marlborough, MA (US HQ); major delivery centers in Bengaluru, Mumbai, and Thiruvananthapuram, India
- Founded
- 2013
- Team size
- Not publicly verified
- Industries
- Healthcare & Life Sciences, Financial Services & Insurance, Public Sector & Education, Media & Entertainment, Retail, Gaming
- Evidence semantics
- Unknown values are not inferred from editorial copy.
Stay updated on Quantiphi
Get notified when this profile is updated with new pricing, ownership changes, or case studies.