SoluLab vs RTS Labs: full comparison for 2026
Last updated: June 2026
Quick verdict
RTS Labs (4.3/5) edges ahead of SoluLab (3.5/5) overall. RTS Labs is the better choice for enterprise teams needing combined data strategy and AI agent development from a single delivery partner. SoluLab is the stronger option for startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems. The right choice depends on your project size, budget, and required tech stack.
SoluLab vs RTS Labs: head-to-head summary
| Criterion | SoluLab | RTS Labs |
|---|---|---|
| Founded | 2014 | 2011 |
| HQ | Los Angeles, CA, USA (US sales office); primary delivery in India | Richmond, VA, USA |
| Team size | 201–500 | 51–200 |
| Rating | 3.5 / 5 | 4.3 / 5 |
| Best for | Startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems | Enterprise teams needing combined data strategy and AI agent development from a single delivery partner |
| Pricing model | Fixed project, dedicated team | Fixed project, retainer, dedicated team |
| Min. engagement | $15K | Not disclosed |
| Primary tech stack | OpenAI, LangChain, Python | OpenAI, LangChain, Python |
| Industries served | Fintech, Healthcare, Real estate, Web3 / blockchain | Supply chain, Logistics, Healthcare, Manufacturing, Financial services |
SoluLab vs RTS Labs: overview
SoluLab
SoluLab was founded in 2014 with a primary focus on blockchain and web3 development, to which it has added AI agent and RAG capabilities. The company claims a Los Angeles HQ but operates primarily from India (per LinkedIn and Glassdoor), with a team of approximately 200–500 engineers. Its principal appeal is the lowest minimum engagement of any firm on this list ($15K), making it accessible for startups running feasibility projects or early MVPs before committing to a larger vendor. The dual AI-and-blockchain focus limits the depth of its pure AI agent practice relative to single-focus specialists.
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: SoluLab vs RTS Labs
| Capability | SoluLab | RTS Labs |
|---|---|---|
| Custom AI agents | ✓ | ✓ |
| Multi-agent systems | ✗ | ✓ |
| RAG pipelines | ✓ | ✓ |
| LLM integration | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: SoluLab vs RTS Labs
| Framework / platform | SoluLab | RTS Labs |
|---|---|---|
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| CrewAI | N/A | 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: SoluLab vs RTS Labs
| Criterion | SoluLab | RTS Labs |
|---|---|---|
| Minimum engagement | $15K | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: SoluLab vs RTS Labs
| Dimension | SoluLab | RTS Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Real estate | Supply chain, Logistics, Healthcare |
| Best use cases | AI agent feasibility and proof-of-concept projects, Early-stage RAG system builds | Supply chain and logistics AI agent automation, Healthcare workflow agents with data pipeline integration |
| Typical project type | Fixed project | Fixed project |
SoluLab vs RTS Labs: pros and cons
| SoluLab | |
|---|---|
| + | Lowest minimum engagement ($15K) of all firms reviewed; accessible for pre-seed and seed startups |
| + | Covers both AI and blockchain in one firm; useful for web3 AI hybrid projects |
| + | Fixed-price model reduces budget risk for well-scoped MVP builds |
| - | Blockchain remains the founding focus; AI agent practice is secondary, not primary |
| - | Small-to-mid team size and dual focus limits depth on complex agentic architectures |
| - | US HQ is a sales office; primary delivery is India-based; time-zone management required |
| - | Not suited to production multi-agent systems requiring senior architect ownership |
| 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 SoluLab?
SoluLab is the right choice for startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems.
Lowest minimum engagement ($15K) of any firm on this list; accessible starting point before committing to larger AI-native vendors. Minimum engagement starts at $15K. Works best with clients in Fintech, Healthcare, Real estate, Web3 / blockchain.
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: SoluLab vs RTS Labs
| Your situation | Recommended choice |
|---|---|
| You need production-ready AI agents with full delivery ownership | SoluLab |
| 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 | SoluLab |
| 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 | SoluLab |
| You want multi-agent LangGraph architecture | Consider Tensorway or Leewayhertz |
| You need RAG over proprietary knowledge bases | SoluLab |
Use case fit: SoluLab vs RTS Labs
| Use case | SoluLab fit | RTS Labs fit | Winner |
|---|---|---|---|
| Autonomous AI agents | Limited | Limited | Both equally |
| RAG knowledge systems | Strong | Limited | SoluLab |
| Enterprise compliance AI | Limited | Strong | RTS Labs |
| Healthcare AI | Limited | Strong | RTS Labs |
| Startup AI MVP | Strong | Limited | SoluLab |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: SoluLab vs RTS Labs
RTS Labs (4.3/5) is the stronger overall choice for most AI agent development projects in 2026. Data strategy and AI agent development in one firm; supply chain and logistics AI depth. It is best for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.
SoluLab (3.5/5) is the better choice when startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems. If your situation matches those criteria, SoluLab is a competitive option.
Related comparisons
SoluLab vs RTS Labs FAQ
Is SoluLab better than RTS Labs?
RTS Labs (4.3/5) scores higher overall, but "better" depends on your use case. SoluLab is better for startups and early-stage teams exploring AI agent feasibility or building an initial MVP within a tight budget — not for complex production multi-agent systems. RTS Labs is better for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.
How do SoluLab and RTS Labs differ in pricing?
SoluLab uses fixed project, dedicated team pricing with a minimum engagement of $15K. 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: SoluLab 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 SoluLab and RTS Labs?
SoluLab's primary differentiator is: lowest minimum engagement ($15k) of any firm on this list; accessible starting point before committing to larger ai-native vendors. 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 (201–500 vs 51–200), minimum engagement ($15K vs Not disclosed), and primary industries served (Fintech, Healthcare vs Supply chain, Logistics).
Last reviewed: June 2026. Verify all details directly with each company before making a decision.