SoftServe vs RTS Labs: full comparison for 2026
Last updated: June 2026
Quick verdict
RTS Labs (4.3/5) edges ahead of SoftServe (4.2/5) overall. RTS Labs is the better choice for enterprise teams needing combined data strategy and AI agent development from a single delivery partner. SoftServe is the stronger option for mid-market to enterprise teams needing GenAI or healthcare AI alongside broader IT services delivery from a large Eastern European engineering firm. The right choice depends on your project size, budget, and required tech stack.
SoftServe vs RTS Labs: head-to-head summary
| Criterion | SoftServe | RTS Labs |
|---|---|---|
| Founded | 1993 | 2011 |
| HQ | Austin, TX, USA (legal HQ); primary delivery in Ukraine and Poland | Richmond, VA, USA |
| Team size | 10,000+ | 51–200 |
| Rating | 4.2 / 5 | 4.3 / 5 |
| Best for | Mid-market to enterprise teams needing GenAI or healthcare AI alongside broader IT services delivery from a large Eastern European engineering firm | Enterprise teams needing combined data strategy and AI agent development from a single delivery partner |
| Pricing model | Retainer, dedicated team, T&M | Fixed project, retainer, dedicated team |
| Min. engagement | Not disclosed (estimated $50K–$150K for GenAI engagements; contact for scoping) | Not disclosed |
| Primary tech stack | Azure OpenAI, AWS Bedrock, LangChain | OpenAI, LangChain, Python |
| Industries served | Healthcare, Retail, Financial services, Energy | Supply chain, Logistics, Healthcare, Manufacturing, Financial services |
SoftServe vs RTS Labs: overview
SoftServe
SoftServe was founded in 1993 and is legally headquartered in Austin, TX, with primary delivery centres in Ukraine and Poland (approximately 10,000 engineers total). The firm has built a dedicated generative AI practice with particular depth in healthcare: named case studies include clinical workflow automation and document extraction for major health systems. SoftServe holds Azure Solution Partner and AWS Partner credentials. Like EPAM, AI is one practice within a large full-services portfolio, which gives it delivery scale but dilutes specialist agentic focus. For buyers who need GenAI integrated alongside broader IT services — especially in healthcare — SoftServe is a competitive option to EPAM at somewhat lower minimum thresholds.
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: SoftServe vs RTS Labs
| Capability | SoftServe | RTS Labs |
|---|---|---|
| Custom AI agents | ✓ | ✓ |
| Multi-agent systems | ✓ | ✓ |
| RAG pipelines | ✓ | ✓ |
| LLM integration | ✓ | ✓ |
| MLOps | ✓ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: SoftServe vs RTS Labs
| Framework / platform | SoftServe | RTS Labs |
|---|---|---|
| LangGraph | ✓ | N/A |
| AutoGen | N/A | N/A |
| CrewAI | N/A | N/A |
| LangChain | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| AWS Bedrock | ✓ | N/A |
| GCP Vertex AI | N/A | N/A |
| Azure OpenAI | ✓ | N/A |
Pricing comparison: SoftServe vs RTS Labs
| Criterion | SoftServe | RTS Labs |
|---|---|---|
| Minimum engagement | Not disclosed (estimated $50K–$150K for GenAI engagements; contact for scoping) | Not disclosed |
| Engagement models | Retainer, Dedicated team, Time and materials | Fixed project, Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoftServe vs RTS Labs
| Dimension | SoftServe | RTS Labs |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Healthcare, Retail, Financial services | Supply chain, Logistics, Healthcare |
| Best use cases | Healthcare workflow automation and clinical AI, Document processing and extraction at scale | Supply chain and logistics AI agent automation, Healthcare workflow agents with data pipeline integration |
| Typical project type | Retainer | Fixed project |
SoftServe vs RTS Labs: pros and cons
| SoftServe | |
|---|---|
| + | Strong healthcare AI delivery record with published clinical workflow case studies |
| + | Large team capable of sustaining long-running parallel-workstream programmes |
| + | Azure Solution Partner and AWS Partner credentials |
| + | Competitive with EPAM on price point for mid-market engagements |
| - | AI is one practice within a broad full-services IT portfolio; not an AI specialist |
| - | Primary delivery centres in Ukraine; buyers should assess geopolitical risk for long-term programmes |
| - | Less focused on cutting-edge agentic orchestration frameworks (LangGraph/AutoGen) than AI-native firms |
| - | Minimum engagement not published; estimate $50K+ for GenAI scope |
| 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 SoftServe?
SoftServe is the right choice for mid-market to enterprise teams needing GenAI or healthcare AI alongside broader IT services delivery from a large Eastern European engineering firm.
Deep healthcare AI delivery track record alongside 30+ years of IT services; primary engineering base in Ukraine and Poland. Minimum engagement starts at Not disclosed (estimated $50K–$150K for GenAI engagements; contact for scoping). Works best with clients in Healthcare, Retail, Financial services, Energy.
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: SoftServe vs RTS Labs
| Your situation | Recommended choice |
|---|---|
| You need production-ready AI agents with full delivery ownership | SoftServe |
| You have a budget over $200K and need enterprise-scale delivery | SoftServe |
| You need a fixed-price project with a well-defined scope | RTS Labs |
| You need AI engineers assembled within days | Consider Turing for speed of team assembly |
| You need healthcare AI with compliance expertise | SoftServe |
| Your budget is under $30K | Consider SoluLab ($15K) or Appinventiv ($20K) |
| You want multi-agent LangGraph architecture | SoftServe |
| You need RAG over proprietary knowledge bases | Both SoftServe and RTS Labs cover RAG |
Use case fit: SoftServe vs RTS Labs
| Use case | SoftServe fit | RTS Labs fit | Winner |
|---|---|---|---|
| Autonomous AI agents | Limited | Limited | Both equally |
| RAG knowledge systems | Limited | Limited | Both equally |
| Enterprise compliance AI | Strong | Strong | Both equally |
| Healthcare AI | Strong | Strong | Both equally |
| Startup AI MVP | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: SoftServe 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.
SoftServe (4.2/5) is the better choice when mid-market to enterprise teams needing GenAI or healthcare AI alongside broader IT services delivery from a large Eastern European engineering firm. If your situation matches those criteria, SoftServe is a competitive option.
Related comparisons
SoftServe vs RTS Labs FAQ
Is SoftServe better than RTS Labs?
RTS Labs (4.3/5) scores higher overall, but "better" depends on your use case. SoftServe is better for mid-market to enterprise teams needing GenAI or healthcare AI alongside broader IT services delivery from a large Eastern European engineering firm. RTS Labs is better for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.
How do SoftServe and RTS Labs differ in pricing?
SoftServe uses retainer, dedicated team, t&m pricing with a minimum engagement of Not disclosed (estimated $50K–$150K for GenAI engagements; contact for scoping). 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: SoftServe or RTS Labs?
SoftServe 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 SoftServe and RTS Labs?
SoftServe's primary differentiator is: deep healthcare ai delivery track record alongside 30+ years of it services; primary engineering base in ukraine and poland. 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 (10,000+ vs 51–200), minimum engagement (Not disclosed (estimated $50K–$150K for GenAI engagements; contact for scoping) vs Not disclosed), and primary industries served (Healthcare, Retail vs Supply chain, Logistics).
Last reviewed: June 2026. Verify all details directly with each company before making a decision.