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 buyers who want a priced pilot before a rollout. Quantiphi is the stronger option for large document-heavy programs on Google Cloud or AWS. 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 | Fixed-price audit and pilot, with the per-request API cost modeled before rollout | Partner-of-the-year history with both Google Cloud and AWS on AI work |
| Pricing model | Fixed price for the audit and pilot; dedicated team or managed service afterward | Fixed-scope projects, time & materials, and dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, HubSpot, Microsoft Dynamics 365 | Vertex AI, AWS Bedrock, Snowflake |
| Industries served | Legal, Financial services, Education, Real estate, Media | Healthcare, Insurance, Financial services, Public sector, Media |
Tensorway vs Quantiphi: overview
Tensorway
Tensorway is an AI-first engineering firm based in Alicante, Spain, founded in 2019, with a team of more than 50 people. Its senior engineers carry over two decades of experience building business systems, and the company now concentrates on fitting AI into the software clients already run. The buying process is unusually concrete. A one-week system audit produces an integration plan and an ROI estimate; then a fixed-price pilot runs one workflow on real data for 2–4 weeks, and the API run cost is calculated during that pilot, before anyone commits to a rollout. Recent smaller projects include invoice extraction for a fintech client and AI document processing for disability law firms (per company website; independently unverifiable). The company also says 93% of its clients come back for another project (per company website; independently unverifiable).
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.
Services and capabilities: Tensorway vs Quantiphi
| Capability | Tensorway | Quantiphi |
|---|---|---|
| CRM / ERP integration | ✓ | ✗ |
| LLM API gateway & cost control | ✓ | ✗ |
| Document processing | ✓ | ✓ |
| Conversational AI | ✓ | ✓ |
| Agentic workflows | ✓ | ✗ |
| Fixed-price pilot | ✓ | ✗ |
| Managed services after launch | ✓ | ✗ |
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 | N/A | N/A |
| BigQuery | ✓ | ✓ |
| Azure OpenAI | N/A | N/A |
| AWS Bedrock | N/A | ✓ |
| Zendesk | ✓ | N/A |
Pricing comparison: Tensorway vs Quantiphi
| Criterion | Tensorway | Quantiphi |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-price audit or pilot, Dedicated team, Managed services | Fixed-scope 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 | Mid-market to enterprise |
| Best industries | Legal, Financial services, Education | Healthcare, Insurance, Financial services |
| Best use cases | Pulling line items out of supplier invoices and posting them to the finance system, Classifying and routing case documents for a law practice | Claims and medical-record extraction for insurers, Contact-center assistants on Google Cloud |
| Typical project type | Fixed-price audit or pilot | Fixed-scope project |
Tensorway vs Quantiphi: pros and cons
| Tensorway | |
|---|---|
| + | The audit and the pilot both carry a fixed price, so the first two stages have a known cost before any longer contract is signed. |
| + | API spend per request is worked out during the pilot, which gives finance a run-cost figure instead of a guess. |
| + | Clients can stop after the pilot, scale with a dedicated team, or hand the system over as a managed service. |
| + | A single gateway logs every model call, applies rate limits, and tracks cost per feature, and routing sends routine requests to cheaper models. |
| + | Integration types cover document processing, support bots with live order and ticket lookups, approval-routed process automation, and multi-step agents with action logs. |
| - | No prices are published, so even the fixed-price pilot has to be quoted on a call |
| - | No named LLM-provider or hyperscaler partnership tier appears on its pages |
| - | With a team of about 50, it can't offer the follow-the-sun support desk a global integrator runs |
| 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 |
Who should choose Tensorway?
A typical fit: pulling line items out of supplier invoices and posting them to the finance system.
Fixed-price audit and pilot, with the per-request API cost modeled before rollout. Minimum engagement is not publicly disclosed. Works best with clients in Legal, Financial services, Education, Real estate, Media.
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.
Decision matrix: Tensorway vs Quantiphi
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Tensorway |
| You need someone to run and monitor the system after launch | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Quantiphi (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Tensorway |
| You need multi-step agents acting across systems | Tensorway |
| You need a large team for a multi-year program | Quantiphi |
Use case fit: Tensorway vs Quantiphi
| Use case | Tensorway fit | Quantiphi fit | Winner |
|---|---|---|---|
| Pulling line items out of supplier invoices and posting them to the finance system | Strong | Limited | Tensorway |
| Classifying and routing case documents for a law practice | Strong | Limited | Tensorway |
| Claims and medical-record extraction for insurers | Limited | Strong | Quantiphi |
| Contact-center assistants on Google Cloud | Limited | Strong | Quantiphi |
Verdict: Tensorway vs Quantiphi
Tensorway (4.8/5) is the stronger overall choice for most AI Integration Services projects. Fixed-price audit and pilot, with the per-request API cost modeled before rollout.
Quantiphi (4.3/5) is worth a look if you need contact-center assistants on Google Cloud. 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: the audit and the pilot both carry a fixed price, so the first two stages have a known cost before any longer contract is signed. Quantiphi's strongest advantage: partner depth on two hyperscalers instead of one.
How do Tensorway and Quantiphi differ in pricing?
Tensorway's pricing: fixed price for the audit and pilot; dedicated team or managed service afterward. Quantiphi's pricing: fixed-scope projects, time & materials, and dedicated teams; 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: 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 provider before shortlisting.
What are the main differences between Tensorway and Quantiphi?
Tensorway's primary differentiator is: fixed-price audit and pilot, with the per-request API cost modeled before rollout. Quantiphi's primary differentiator is: partner-of-the-year history with both Google Cloud and AWS on AI work. They also differ in team size (50+ vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal, Financial services vs Healthcare, Insurance).
Verify all details directly with each provider before making a decision.