Top AI Integration Companies

Tensorway vs RTS Labs: full comparison for 2026

Quick verdict

Tensorway (4.8/5) edges ahead of RTS Labs (4.2/5) overall. Tensorway is the better choice for mid-market firms adding AI to existing CRM and ERP. RTS Labs is the stronger option for U.S. mid-market firms with stalled AI pilots. 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 Glen Allen, VA, USA
Team size 50+ 51–200
Rating 4.8 / 5 4.2 / 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 Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections
Pricing model Fixed price for the audit and pilot, then dedicated team or managed service; API run cost estimated during the pilot Fixed-scope assessments and builds, then T&M; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack Salesforce, HubSpot, Microsoft Dynamics 365 Salesforce, Snowflake, Azure OpenAI
Industries served Legal services, Financial services, Healthcare records, Retail & e-commerce, Private equity Logistics, Financial services, Healthcare, Manufacturing

Tensorway vs RTS Labs: 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.

RTS Labs

RTS Labs is a U.S. software and data consultancy founded in 2010, headquartered in Glen Allen, Virginia, near Richmond. It began with custom software, Salesforce implementation and business intelligence, and now positions itself as an implementation partner that takes AI and data systems from pilot to production. It says it has more than 100 senior engineers and AI architects and deploys in 8–12 weeks (per company website; independently unverifiable). Third-party estimates put headcount at 51–100.

Services and capabilities: Tensorway vs RTS Labs

Capability Tensorway RTS Labs
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 RTS Labs

Framework / platform Tensorway RTS Labs
Salesforce ✓ ✓
SAP ✓ N/A
Microsoft Dynamics 365 ✓ N/A
HubSpot ✓ N/A
Snowflake ✓ ✓
Databricks ✓ N/A
Azure OpenAI N/A ✓
AWS Bedrock N/A ✓
LangChain N/A N/A
ServiceNow N/A N/A

Pricing comparison: Tensorway vs RTS Labs

Criterion Tensorway RTS Labs
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed-scope audit or pilot, Dedicated team, Managed services Fixed project, Time & materials
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 services, Financial services, Healthcare records Logistics, Financial services, Healthcare
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. Connecting an AI agent to ERP order data for a logistics company., Rescuing a stalled proof of concept and putting it into production.
Typical project type Fixed-scope audit or pilot Fixed project

Tensorway vs RTS Labs: 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
RTS Labs
+ Onshore U.S. delivery suits buyers who need data to stay with domestic staff
+ Salesforce implementation history helps when the CRM is part of the build
+ Explicit focus on production readiness, monitoring and fine-tuning after launch
+ Mid-market size keeps engagement minimums modest
- Deployment-time and client-count claims are self-reported
- Glassdoor employee reviews average about 3.0, which may point to retention issues
- Smaller bench than national consultancies

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 RTS Labs?

A typical fit: connecting an AI agent to ERP order data for a logistics company.

Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Financial services, Healthcare, Manufacturing.

Decision matrix: Tensorway vs RTS Labs

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 Both
Personal data must be masked and answers limited by user permissions Tensorway
Your budget is at the lower end Compare: Tensorway (Not disclosed) vs RTS Labs (Not disclosed)
You want the vendor to run the AI service after launch Tensorway
You are building multi-step agents across systems RTS Labs

Use case fit: Tensorway vs RTS Labs

Use case Tensorway fit RTS Labs 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
Connecting an AI agent to ERP order data for a logistics company. Limited Strong RTS Labs
Rescuing a stalled proof of concept and putting it into production. Limited Strong RTS Labs

Verdict: Tensorway vs RTS Labs

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.

RTS Labs (4.2/5) is worth a look if you need rescuing a stalled proof of concept and putting it into production. 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: 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. RTS Labs's strongest advantage: onshore U.S. delivery suits buyers who need data to stay with domestic staff.

How do Tensorway and RTS Labs 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. RTS Labs pricing: Fixed-scope assessments and builds, then T&M; 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 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 company before shortlisting.

What are the main differences between Tensorway and RTS Labs?

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. RTS Labs's primary differentiator is: onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. They also differ in team size (50+ vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal services, Financial services vs Logistics, Financial services).

Verify all details directly with each company before making a decision.