Top AI Integration Companies

Neurons Lab vs RTS Labs: full comparison for 2026

Quick verdict

Neurons Lab (4.5/5) edges ahead of RTS Labs (4.2/5) overall. Neurons Lab is the better choice for banks and insurers piloting agentic AI under regulation. 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.

Neurons Lab vs RTS Labs: head-to-head summary

Criterion Neurons Lab RTS Labs
Founded 2019 2010
HQ London, UK Glen Allen, VA, USA
Team size 51–200 51–200
Rating 4.5 / 5 4.2 / 5
Primary differentiator Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections
Pricing model Fixed-price discovery and proof of concept, then T&M; rates on request Fixed-scope assessments and builds, then T&M; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack AWS Bedrock, Amazon SageMaker, LangChain Salesforce, Snowflake, Azure OpenAI
Industries served Financial services, Insurance, Healthcare, Public sector Logistics, Financial services, Healthcare, Manufacturing

Neurons Lab vs RTS Labs: overview

Neurons Lab

Neurons Lab is an AI-first consultancy incorporated in London in October 2019, with a second office in Singapore and a distributed engineering team. It is an AWS Advanced Tier Services Partner with the Generative AI competency and joined the AWS Public Sector Partner programme in September 2024. Recent published work leans toward financial services, including an AI-driven investment product built with a global asset manager. Third-party estimates put direct headcount at roughly 50–200, supplemented by a contractor network.

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: Neurons Lab vs RTS Labs

Capability Neurons Lab 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: Neurons Lab vs RTS Labs

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

Pricing comparison: Neurons Lab vs RTS Labs

Criterion Neurons Lab RTS Labs
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed-scope audit or pilot, Time & materials Fixed project, Time & materials
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Neurons Lab vs RTS Labs

Dimension Neurons Lab RTS Labs
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Insurance, Healthcare Logistics, Financial services, Healthcare
Best use cases Research or advisory agents for an asset manager that pull from internal and market data., Customer-service agents for an insurer with audit logging on every action. 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

Neurons Lab vs RTS Labs: pros and cons

Neurons Lab
+ Regulated-finance experience shows up in how it scopes data access and model risk
+ Fixed-price discovery and proof-of-concept stages limit early spend
+ AWS Advanced Tier and GenAI competency are confirmed through AWS programmes
+ Small senior teams with direct access to founders
- Not yet AWS Premier Tier, and its own job ads have described that as a future goal
- Weaker fit for Azure- or SAP-heavy estates
- A small core team relies on a contractor network for larger programmes
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 Neurons Lab?

A typical fit: research or advisory agents for an asset manager that pull from internal and market data.

Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Healthcare, Public sector.

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: Neurons Lab vs RTS Labs

Your situation Recommended choice
You want a fixed-price audit or pilot before committing Neurons Lab
AI has to work inside your existing CRM or ERP RTS Labs
Personal data must be masked and answers limited by user permissions Neurons Lab
Your budget is at the lower end Compare: Neurons Lab (Not disclosed) vs RTS Labs (Not disclosed)
You want the vendor to run the AI service after launch Neither offers managed services; plan in-house operations
You are building multi-step agents across systems Both

Use case fit: Neurons Lab vs RTS Labs

Use case Neurons Lab fit RTS Labs fit Winner
Research or advisory agents for an asset manager that pull from internal and market data. Strong Limited Neurons Lab
Customer-service agents for an insurer with audit logging on every action. Strong Limited Neurons Lab
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: Neurons Lab vs RTS Labs

Neurons Lab (4.5/5) is the stronger overall choice for most AI Integration projects. Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation.

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

Neurons Lab vs RTS Labs FAQ

Is Neurons Lab better than RTS Labs?

Neurons Lab (4.5/5) scores higher overall, but "better" depends on your use case. Neurons Lab's strongest advantage: regulated-finance experience shows up in how it scopes data access and model risk. RTS Labs's strongest advantage: onshore U.S. delivery suits buyers who need data to stay with domestic staff.

How do Neurons Lab and RTS Labs differ in pricing?

Neurons Lab pricing: Fixed-price discovery and proof of concept, then T&M; rates on request. 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: Neurons Lab or RTS Labs?

Neurons Lab 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 Neurons Lab and RTS Labs?

Neurons Lab's primary differentiator is: financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation. 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 (51–200 vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Insurance vs Logistics, Financial services).

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