Tensorway vs Quantiphi: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Quantiphi (4.3/5) overall. Tensorway is the better choice for mid-market firms adding AI to existing CRM and ERP. Quantiphi is the stronger option for google Cloud estates, high-volume document AI. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Quantiphi: head-to-head summary
| Criterion | Tensorway | Quantiphi |
|---|---|---|
| Founded | 2019 | 2013 |
| HQ | Alicante, Spain | Marlborough, MA, USA |
| Team size | 50+ | 3,500+ |
| Rating | 4.8 / 5 | 4.3 / 5 |
| Primary differentiator | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments |
| Pricing model | Fixed price for the audit and pilot, then dedicated team or managed service; API run cost estimated during the pilot | Fixed-price and T&M with offshore-weighted rates; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, HubSpot, Microsoft Dynamics 365 | Google Vertex AI, Google Document AI, AWS Bedrock |
| Industries served | Legal services, Financial services, Healthcare records, Retail & e-commerce, Private equity | Healthcare, Insurance, Financial services, Public sector, Media |
Tensorway vs Quantiphi: overview
Tensorway
Tensorway is an AI-first engineering company founded in 2019 and headquartered in Alicante, Spain, with a team of more than 50. Its integration work runs on top of existing platforms such as Salesforce, HubSpot, Dynamics 365, SAP, Oracle and NetSuite, so clients keep their systems of record and skip a migration. Requests pass through a single gateway that masks personal data before it reaches a model and limits each answer to documents the employee is already allowed to open. For Liner Legal, a U.S. law practice, it cut medical-record processing from roughly a week to 5–15 minutes and automated about four days of manual CRM reconciliation (per company website; independently unverifiable). The delivery leads behind it bring 20-plus years of business-software engineering to the work.
Quantiphi
Quantiphi is an AI-first digital engineering firm founded in 2013, with U.S. headquarters in Marlborough, Massachusetts and most of its delivery staff in India. It employs about 3,500–4,000 people and holds premier-level partnerships with Google Cloud and AWS, plus many partner-of-the-year awards (exact counts differ across its own pages). Document AI, contact-centre AI and data modernization make up much of its published work.
Services and capabilities: Tensorway vs Quantiphi
| Capability | Tensorway | Quantiphi |
|---|---|---|
| CRM / ERP integration | ✓ | ✗ |
| LLM API gateway & cost control | ✓ | ✗ |
| Document processing | ✓ | ✓ |
| Agentic workflows | ✗ | ✗ |
| Fixed-price pilot | ✓ | ✗ |
| Managed services after launch | ✓ | ✗ |
| PII masking & access control | ✓ | ✗ |
Tech stack comparison: Tensorway vs Quantiphi
| Framework / platform | Tensorway | Quantiphi |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | ✓ | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| Azure OpenAI | N/A | N/A |
| AWS Bedrock | N/A | ✓ |
| LangChain | N/A | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: Tensorway vs Quantiphi
| Criterion | Tensorway | Quantiphi |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope audit or pilot, Dedicated team, Managed services | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Quantiphi
| Dimension | Tensorway | Quantiphi |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Legal services, Financial services, Healthcare records | Healthcare, Insurance, Financial services |
| Best use cases | Reconciling CRM records against case or order data that staff currently match by hand., Extracting and cross-checking fields from medical records, invoices or contracts, then routing them into the ERP. | Insurance claims intake with Document AI extraction and human review., Contact-centre AI on Google Cloud for a high-volume support operation. |
| Typical project type | Fixed-scope audit or pilot | Fixed project |
Tensorway vs Quantiphi: pros and cons
| Tensorway | |
|---|---|
| + | Works against the systems you already own, and where a platform has no usable API it reads from database replicas, message queues or file exports |
| + | Personal data is masked before a prompt leaves your perimeter, and answers respect the same document permissions the employee has today |
| + | A one-week system audit produces an integration plan and ROI estimate before any build money is committed |
| + | The first workflow goes live on real data in 2–4 weeks and is measured against the baseline taken during the audit |
| + | One gateway logs every request, enforces rate limits and tracks token spend per feature, which makes the monthly AI bill explainable |
| - | No prices are published, so you only see a number after the scoping call |
| - | A team of 50+ has no round-the-clock global delivery footprint like the large integrators |
| - | Its pages list no certifications and no named partner tier with an LLM provider or hyperscaler |
| Quantiphi | |
|---|---|
| + | Rare dual premier status with Google Cloud and AWS |
| + | Mature document AI practice for claims, forms and medical records |
| + | India-weighted delivery keeps blended rates below U.S. consultancies |
| + | Can scale teams quickly for large backlogs |
| - | Award and partner counts vary between its own pages, so confirm current tiers in partner directories |
| - | Offshore-heavy delivery needs strong client-side product ownership |
| - | Less visible work inside Salesforce or SAP |
Who should choose Tensorway?
A typical fit: reconciling CRM records against case or order data that staff currently match by hand.
Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call. Minimum engagement is not publicly disclosed. Works best with clients in Legal services, Financial services, Healthcare records, Retail & e-commerce, Private equity.
Who should choose Quantiphi?
A typical fit: insurance claims intake with Document AI extraction and human review.
Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
Decision matrix: Tensorway vs Quantiphi
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Tensorway |
| AI has to work inside your existing CRM or ERP | Tensorway |
| Personal data must be masked and answers limited by user permissions | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Quantiphi (Not disclosed) |
| You want the vendor to run the AI service after launch | Tensorway |
| You are building multi-step agents across systems | Neither lists agentic AI work |
Use case fit: Tensorway vs Quantiphi
| Use case | Tensorway fit | Quantiphi fit | Winner |
|---|---|---|---|
| Reconciling CRM records against case or order data that staff currently match by hand. | Strong | Limited | Tensorway |
| Extracting and cross-checking fields from medical records, invoices or contracts, then routing them into the ERP. | Strong | Limited | Tensorway |
| Insurance claims intake with Document AI extraction and human review. | Limited | Strong | Quantiphi |
| Contact-centre AI on Google Cloud for a high-volume support operation. | Limited | Strong | Quantiphi |
Verdict: Tensorway vs Quantiphi
Tensorway (4.8/5) is the stronger overall choice for most AI Integration projects. Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call.
Quantiphi (4.3/5) is worth a look if you need contact-centre AI on Google Cloud for a high-volume support operation. If your situation matches that, Quantiphi is a competitive option.
Related comparisons
Tensorway vs Quantiphi FAQ
Is Tensorway better than Quantiphi?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: works against the systems you already own, and where a platform has no usable API it reads from database replicas, message queues or file exports. Quantiphi's strongest advantage: rare dual premier status with Google Cloud and AWS.
How do Tensorway and Quantiphi differ in pricing?
Tensorway pricing: Fixed price for the audit and pilot, then dedicated team or managed service; API run cost estimated during the pilot. Quantiphi pricing: Fixed-price and T&M with offshore-weighted rates; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway or Quantiphi?
Quantiphi is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Tensorway and Quantiphi?
Tensorway's primary differentiator is: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call. Quantiphi's primary differentiator is: premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. They also differ in team size (50+ vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal services, Financial services vs Healthcare, Insurance).
Verify all details directly with each company before making a decision.