Quantiphi vs Deloitte: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of Deloitte (4.1/5) overall. Quantiphi is the better choice for large document-heavy programs on Google Cloud or AWS. Deloitte is the stronger option for regulated enterprises needing audit-grade controls. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs Deloitte: head-to-head summary
| Criterion | Quantiphi | Deloitte |
|---|---|---|
| Founded | 2013 | 1845 |
| HQ | Marlborough, MA, USA | London, UK |
| Team size | 3,500+ | 470,000+ |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Partner-of-the-year history with both Google Cloud and AWS on AI work | Risk, audit, and regulatory teams working next to the integrators |
| Pricing model | Fixed-scope projects, time & materials, and dedicated teams; rates on request | Program-based fixed fee and time & materials; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Vertex AI, AWS Bedrock, Snowflake | SAP, Salesforce, Microsoft Dynamics 365 |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | Financial services, Public sector, Healthcare, Energy, Insurance |
Quantiphi vs Deloitte: overview
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.
Deloitte
Deloitte is the largest of the Big Four by revenue, founded in 1845 in London, with over 470,000 people and $70.5 billion in FY2025 revenue. It has committed more than $3 billion to generative AI through FY2030 and launched Zora AI, its agentic product line built with NVIDIA, plus a global network of agent products built on partner platforms. For integration buyers, its value lies in regulated industries where audit, risk, and controls work happens next to the technology. It's rarely the cheapest or fastest route to a single working workflow.
Services and capabilities: Quantiphi vs Deloitte
| Capability | Quantiphi | Deloitte |
|---|---|---|
| CRM / ERP integration | ✗ | ✓ |
| LLM API gateway & cost control | ✗ | ✗ |
| Document processing | ✓ | ✗ |
| Conversational AI | ✓ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✓ |
Tech stack comparison: Quantiphi vs Deloitte
| Framework / platform | Quantiphi | Deloitte |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | ✓ |
| Microsoft Dynamics 365 | N/A | ✓ |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | N/A | N/A |
| BigQuery | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Quantiphi vs Deloitte
| Criterion | Quantiphi | Deloitte |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Fixed-scope project, Time & materials, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs Deloitte
| Dimension | Quantiphi | Deloitte |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Healthcare, Insurance, Financial services | Financial services, Public sector, Healthcare |
| Best use cases | Claims and medical-record extraction for insurers, Contact-center assistants on Google Cloud | Agent rollouts in SAP finance with controls testing, AI programs that need regulator-facing documentation |
| Typical project type | Fixed-scope project | Fixed-scope project |
Quantiphi vs Deloitte: pros and cons
| Quantiphi | |
|---|---|
| + | Partner depth on two hyperscalers instead of one. |
| + | Document AI and contact-center AI are mature practice areas. |
| + | Enough staff to run several workstreams in parallel. |
| + | A multi-year Google Cloud partnership announced in 2026 covers joint industry solutions. |
| - | Most delivery is offshore, so time-zone overlap with U.S. or EU teams is partial |
| - | Fixed-price pilots aren't advertised as a standard entry point |
| - | Award counts come from the company itself |
| Deloitte | |
|---|---|
| + | Can combine AI integration with internal-audit and regulatory review. |
| + | Partner relationships across SAP, Salesforce, Microsoft, ServiceNow, and the hyperscalers. |
| + | Global staffing for multi-country rollouts. |
| + | Zora AI gives clients prebuilt agent patterns for finance and operations. |
| - | Big Four pricing and staffing pyramids make a 2–4 week pilot expensive |
| - | Independence rules restrict some work for Deloitte audit clients |
| - | Reported job cuts at member firms in 2025 add uncertainty about team continuity |
Who should choose Quantiphi?
A typical fit: claims and medical-record extraction for insurers.
Partner-of-the-year history with both Google Cloud and AWS on AI work. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
Who should choose Deloitte?
A typical fit: agent rollouts in SAP finance with controls testing.
Risk, audit, and regulatory teams working next to the integrators. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Public sector, Healthcare, Energy, Insurance.
Decision matrix: Quantiphi vs Deloitte
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Deloitte |
| Your budget is at the lower end | Compare: Quantiphi (Not disclosed) vs Deloitte (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Deloitte |
| You need multi-step agents acting across systems | Deloitte |
| You need a large team for a multi-year program | Deloitte |
Use case fit: Quantiphi vs Deloitte
| Use case | Quantiphi fit | Deloitte fit | Winner |
|---|---|---|---|
| Claims and medical-record extraction for insurers | Strong | Limited | Quantiphi |
| Contact-center assistants on Google Cloud | Strong | Limited | Quantiphi |
| Agent rollouts in SAP finance with controls testing | Limited | Strong | Deloitte |
| AI programs that need regulator-facing documentation | Limited | Strong | Deloitte |
Verdict: Quantiphi vs Deloitte
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration Services projects. Partner-of-the-year history with both Google Cloud and AWS on AI work.
Deloitte (4.1/5) is worth a look if you need AI programs that need regulator-facing documentation. If your situation matches that, Deloitte is a competitive option.
Related comparisons
Quantiphi vs Deloitte FAQ
Is Quantiphi better than Deloitte?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: partner depth on two hyperscalers instead of one. Deloitte's strongest advantage: can combine AI integration with internal-audit and regulatory review.
How do Quantiphi and Deloitte differ in pricing?
Quantiphi's pricing: fixed-scope projects, time & materials, and dedicated teams; rates on request. Deloitte's pricing: program-based fixed fee and time & materials; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Quantiphi or Deloitte?
Deloitte is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Quantiphi and Deloitte?
Quantiphi's primary differentiator is: partner-of-the-year history with both Google Cloud and AWS on AI work. Deloitte's primary differentiator is: risk, audit, and regulatory teams working next to the integrators. They also differ in team size (3,500+ vs 470,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Insurance vs Financial services, Public sector).
Verify all details directly with each provider before making a decision.