Best AI Agent Developers

Markovate vs RTS Labs: full comparison for 2026

Last updated: June 2026

Quick verdict

Markovate (4.5/5) edges ahead of RTS Labs (4.3/5) overall. Markovate is the better choice for healthcare, fintech, and SaaS companies integrating AI agents into a broader product roadmap. RTS Labs is the stronger option for enterprise teams needing combined data strategy and AI agent development from a single delivery partner. The right choice depends on your project size, budget, and required tech stack.

Markovate vs RTS Labs: head-to-head summary

Criterion Markovate RTS Labs
Founded 2015 2011
HQ San Francisco, CA, USA Richmond, VA, USA
Team size 51–100 51–200
Rating 4.5 / 5 4.3 / 5
Best for Healthcare, fintech, and SaaS companies integrating AI agents into a broader product roadmap Enterprise teams needing combined data strategy and AI agent development from a single delivery partner
Pricing model Fixed project, retainer, dedicated team Fixed project, retainer, dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack CrewAI, LangChain, OpenAI OpenAI, LangChain, Python
Industries served Healthcare, Fintech, SaaS, Retail, Legal Supply chain, Logistics, Healthcare, Manufacturing, Financial services

Markovate vs RTS Labs: overview

Markovate

Markovate is a San Francisco-based AI and digital product development company founded in 2015. The firm holds ISO 9001:2015 and ISO/IEC 27001:2022 certifications and carries GDPR and HIPAA readiness, making it a strong fit for regulated industries. Co-founder Rajeev Sharma previously led AI initiatives at AT&T and IBM. Markovate's agentic AI practice covers multi-agent systems, LLM fine-tuning, vector search integration, and rapid proof-of-concept delivery — typically reaching a working validation within weeks.

RTS Labs

RTS Labs is a Richmond, Virginia-based technology and AI consultancy specialising in enterprise AI agent development, data strategy, and LLM integration. The firm focuses on moving enterprise clients from data strategy to production-grade AI deployment, with particular strength in supply chain, logistics, healthcare, and manufacturing. RTS Labs serves organisations that need both data engineering depth and AI agent capability from a single partner, avoiding the handoff complexity between a data firm and a separate AI agency.

Services and capabilities: Markovate vs RTS Labs

Capability Markovate RTS Labs
Custom AI agents
Multi-agent systems
RAG pipelines
LLM integration
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: Markovate vs RTS Labs

Framework / platform Markovate RTS Labs
LangGraph N/A N/A
AutoGen N/A N/A
CrewAI N/A
LangChain
OpenAI
Anthropic Claude N/A N/A
AWS Bedrock N/A N/A
GCP Vertex AI N/A N/A
Azure OpenAI N/A N/A

Pricing comparison: Markovate vs RTS Labs

Criterion Markovate RTS Labs
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Retainer, Dedicated team Fixed project, Retainer, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Markovate vs RTS Labs

Dimension Markovate RTS Labs
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Fintech, SaaS Supply chain, Logistics, Healthcare
Best use cases AI agents for legal document review and insurance processing, Healthcare diagnostics and medical claims automation Supply chain and logistics AI agent automation, Healthcare workflow agents with data pipeline integration
Typical project type Fixed project Fixed project

Markovate vs RTS Labs: pros and cons

Markovate
+ ISO 9001 and ISO 27001 certified — strong for compliance-sensitive buyers
+ HIPAA and GDPR readiness built in
+ Rapid POC framework — working prototype in weeks
+ Leadership with enterprise AI background (AT&T, IBM)
- ISO certification and formal process add overhead — not the fastest engagement for startup-pace teams
- Mid-size team (51–100) limits capacity for very large concurrent programmes
RTS Labs
+ Combines data strategy and AI agent delivery in one firm
+ Strong supply chain and logistics AI track record
+ US-based team for easy collaboration with North American enterprises
- Mid-size team — limited for very large enterprise programmes
- Less suited to startup or sub-$50K engagements

Who should choose Markovate?

Markovate is the right choice for healthcare, fintech, and SaaS companies integrating AI agents into a broader product roadmap.

ISO-certified with HIPAA/GDPR readiness; leadership with prior AI experience at AT&T and IBM. Minimum engagement starts at Not disclosed. Works best with clients in Healthcare, Fintech, SaaS, Retail, Legal.

Who should choose RTS Labs?

RTS Labs is the right choice for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.

Data strategy and AI agent development in one firm; supply chain and logistics AI depth. Minimum engagement starts at Not disclosed. Works best with clients in Supply chain, Logistics, Healthcare, Manufacturing, Financial services.

Decision matrix: Markovate vs RTS Labs

Your situation Recommended choice
You need production-ready AI agents with full delivery ownership Markovate
You have a budget over $200K and need enterprise-scale delivery Consider EPAM Systems for very large programmes
You need a fixed-price project with a well-defined scope Markovate
You need AI engineers assembled within days Consider Turing for speed of team assembly
You need healthcare AI with compliance expertise Consider SoftServe for deep healthcare AI
Your budget is under $30K Consider SoluLab ($15K) or Appinventiv ($20K)
You want multi-agent LangGraph architecture Consider Tensorway or Leewayhertz
You need RAG over proprietary knowledge bases Both Markovate and RTS Labs cover RAG

Use case fit: Markovate vs RTS Labs

Use case Markovate fit RTS Labs fit Winner
Autonomous AI agents Limited Limited Both equally
RAG knowledge systems Limited Limited Both equally
Enterprise compliance AI Limited Strong RTS Labs
Healthcare AI Strong Strong Both equally
Startup AI MVP Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Markovate vs RTS Labs

Markovate (4.5/5) is the stronger overall choice for most AI agent development projects in 2026. ISO-certified with HIPAA/GDPR readiness; leadership with prior AI experience at AT&T and IBM. It is best for healthcare, fintech, and SaaS companies integrating AI agents into a broader product roadmap.

RTS Labs (4.3/5) is the better choice when enterprise teams needing combined data strategy and AI agent development from a single delivery partner. If your situation matches those criteria, RTS Labs is a competitive option.

Related comparisons

Markovate vs RTS Labs FAQ

Is Markovate better than RTS Labs?

Markovate (4.5/5) scores higher overall, but "better" depends on your use case. Markovate is better for healthcare, fintech, and SaaS companies integrating AI agents into a broader product roadmap. RTS Labs is better for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.

How do Markovate and RTS Labs differ in pricing?

Markovate uses fixed project, retainer, dedicated team pricing with a minimum engagement of Not disclosed. RTS Labs uses fixed project, retainer, dedicated team pricing with a minimum engagement of Not disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Markovate or RTS Labs?

Neither is the better enterprise choice due to team size and compliance capabilities. For large-scale enterprise AI programmes with multi-region requirements, EPAM Systems (10,000+ engineers) is worth evaluating alongside both firms.

What are the main differences between Markovate and RTS Labs?

Markovate's primary differentiator is: iso-certified with hipaa/gdpr readiness; leadership with prior ai experience at at&t and ibm. RTS Labs's primary differentiator is: data strategy and ai agent development in one firm; supply chain and logistics ai depth. They also differ in team size (51–100 vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Fintech vs Supply chain, Logistics).

Last reviewed: June 2026. Verify all details directly with each company before making a decision.