Tensorway vs RTS Labs: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of RTS Labs (4.4/5) overall. Tensorway is the better choice for buyers who want a priced pilot before a rollout. RTS Labs is the stronger option for U.S. firms needing onshore-only delivery. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs RTS Labs: head-to-head summary
| Criterion | Tensorway | RTS Labs |
|---|---|---|
| Founded | 2019 | 2010 |
| HQ | Alicante, Spain | Richmond, VA, USA |
| Team size | 50+ | 100+ |
| Rating | 4.8 / 5 | 4.4 / 5 |
| Primary differentiator | Fixed-price audit and pilot, with the per-request API cost modeled before rollout | All-U.S. engineering team and early MCP integration work |
| Pricing model | Fixed price for the audit and pilot; dedicated team or managed service afterward | Fixed-scope phases and time & materials; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, HubSpot, Microsoft Dynamics 365 | Salesforce, Microsoft Dynamics 365, Snowflake |
| Industries served | Legal, Financial services, Education, Real estate, Media | Logistics, Insurance, Legal, Financial services, Real estate, Healthcare |
Tensorway vs RTS Labs: 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).
RTS Labs
RTS Labs has been building software since 2010 from Richmond, Virginia, and now positions itself as an applied-AI consultancy. Its 100-plus staff are all U.S.-based, which matters for clients that can't send data or system access offshore. The firm says it has shipped over 600 software and AI systems and that core implementations usually reach production in 8–12 weeks (per company website; independently unverifiable). It's also one of the few mid-size firms publicly building Model Context Protocol (MCP) server integrations for enterprise tools.
Services and capabilities: Tensorway vs RTS Labs
| Capability | Tensorway | RTS Labs |
|---|---|---|
| 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 RTS Labs
| Framework / platform | Tensorway | RTS Labs |
|---|---|---|
| Salesforce | ✓ | ✓ |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | ✓ | ✓ |
| HubSpot | ✓ | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | N/A | N/A |
| BigQuery | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | ✓ | N/A |
Pricing comparison: Tensorway vs RTS Labs
| Criterion | Tensorway | RTS Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-price audit or pilot, Dedicated team, Managed services | Fixed-scope project, Time & materials, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs RTS Labs
| Dimension | Tensorway | RTS Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Legal, Financial services, Education | Logistics, Insurance, Legal |
| 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 | Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions, Building MCP servers so assistants can query internal tools |
| Typical project type | Fixed-price audit or pilot | Fixed-scope project |
Tensorway vs RTS Labs: 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 |
| RTS Labs | |
|---|---|
| + | Every engineer is U.S.-based, which simplifies data-residency and security reviews. |
| + | MCP server work lets agents call internal tools through one standard interface. |
| + | Logistics and insurance case work ties AI into operational systems. |
| + | Offers ongoing support once a system is live. |
| - | Onshore-only staffing means higher rates than nearshore firms |
| - | Its published timelines vary between 90 days and 8–12 weeks depending on the page |
| - | No hyperscaler partner tier is prominent in its materials |
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 RTS Labs?
A typical fit: connecting an agent to a TMS (transportation management system) and ERP for freight exceptions.
All-U.S. engineering team and early MCP integration work. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Insurance, Legal, Financial services, Real estate, Healthcare.
Decision matrix: Tensorway vs RTS Labs
| 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 | Both offer managed services |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs RTS Labs (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Both have CRM or ERP integration work |
| You need multi-step agents acting across systems | Both build agentic workflows |
| You need a large team for a multi-year program | RTS Labs |
Use case fit: Tensorway vs RTS Labs
| Use case | Tensorway fit | RTS Labs 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 |
| Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions | Limited | Strong | RTS Labs |
| Building MCP servers so assistants can query internal tools | Limited | Strong | RTS Labs |
Verdict: Tensorway vs RTS Labs
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.
RTS Labs (4.4/5) is worth a look if you need building MCP servers so assistants can query internal tools. If your situation matches that, RTS Labs is a competitive option.
Related comparisons
Tensorway vs RTS Labs FAQ
Is Tensorway better than RTS Labs?
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. RTS Labs's strongest advantage: every engineer is U.S.-based, which simplifies data-residency and security reviews.
How do Tensorway and RTS Labs differ in pricing?
Tensorway's pricing: fixed price for the audit and pilot; dedicated team or managed service afterward. RTS Labs's pricing: fixed-scope phases 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: Tensorway or RTS Labs?
RTS Labs 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 RTS Labs?
Tensorway's primary differentiator is: fixed-price audit and pilot, with the per-request API cost modeled before rollout. RTS Labs's primary differentiator is: All-U.S. engineering team and early MCP integration work. They also differ in team size (50+ vs 100+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal, Financial services vs Logistics, Insurance).
Verify all details directly with each provider before making a decision.