RTS Labs vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
RTS Labs (4.2/5) edges ahead of Deviniti (3.5/5) overall. RTS Labs is the better choice for enterprises stuck at the AI pilot stage that need a path to measurable production ROI. Deviniti is the stronger option for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Deviniti: head-to-head summary
| Criterion | RTS Labs | Deviniti |
|---|---|---|
| Founded | 2010 | 2004 |
| HQ | Richmond, VA, USA | Wrocław, Poland |
| Team size | 51-100 | 201-250 |
| Rating | 4.2 / 5 | 3.5 / 5 |
| Best for | Enterprises stuck at the AI pilot stage that need a path to measurable production ROI | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Fixed project, retainer | Fixed project, dedicated team |
| Min. engagement | $25K | $15K |
| Primary tech stack | Azure, AWS, OpenAI | AWS, Azure, Python |
| Industries served | Manufacturing, Healthcare, Logistics | SaaS, Manufacturing, Fintech |
RTS Labs vs Deviniti: overview
RTS Labs
RTS Labs was founded in 2010 and is headquartered in Richmond, Virginia, with roughly 80-100 staff spread across North America, Asia, and Europe. The firm positions itself as a boutique enterprise AI consultancy focused on moving clients from pilot projects to measurable production ROI, with the architecture and guardrails to support that transition.
Deviniti
Deviniti was founded on December 13, 2004 in Wrocław, Poland by Piotr Jan Dorosz and Jacek Michał Machata, and now has 250+ employees. The company combines Atlassian-focused consulting and marketplace apps with custom software development, cloud/DevOps, and AI application services.
Services and capabilities: RTS Labs vs Deviniti
| Capability | RTS Labs | Deviniti |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
| Agent orchestration | ✗ | ✗ |
| Enterprise automation | ✓ | ✓ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: RTS Labs vs Deviniti
| Framework / platform | RTS Labs | Deviniti |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: RTS Labs vs Deviniti
| Criterion | RTS Labs | Deviniti |
|---|---|---|
| Minimum engagement | $25K | $15K |
| Engagement models | Fixed project, Retainer | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Deviniti
| Dimension | RTS Labs | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, Logistics | SaaS, Manufacturing, Fintech |
| Best use cases | Pilot-to-production AI transitions, Enterprise workflow automation | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Fixed project | Fixed project |
RTS Labs vs Deviniti: pros and cons
| RTS Labs | |
|---|---|
| + | 15+ years of enterprise consulting predating the current AI-agent wave |
| + | Explicit focus on production guardrails, not just pilot demos |
| + | US-based HQ eases enterprise procurement and data-residency conversations |
| - | Mid-size team (~80-100) limits capacity for very large multi-workstream programs |
| - | Less agent-framework-specific public documentation than pure-play agent firms |
| Deviniti | |
|---|---|
| + | 20+ years of operating history with a clear founding date and leadership |
| + | Deep Atlassian ecosystem expertise supports agent integration into existing workflow tools |
| + | Combines marketplace product development with custom consulting delivery |
| - | Atlassian-ecosystem specialization is a narrower fit for buyers outside that toolchain |
| - | AI application work is a newer addition relative to its two-decade core consulting history |
Who should choose RTS Labs?
RTS Labs is the right choice for enterprises stuck at the AI pilot stage that need a path to measurable production ROI.
Explicit pilot-to-production focus with named architecture/guardrails methodology. Minimum engagement starts at $25K. Works best with clients in Manufacturing, Healthcare, Logistics.
Who should choose Deviniti?
Deviniti is the right choice for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. Minimum engagement starts at $15K. Works best with clients in SaaS, Manufacturing, Fintech.
Decision matrix: RTS Labs vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | RTS Labs |
| You need a large dedicated team for an ongoing programme | Deviniti |
| Your budget is at the lower end | Deviniti |
| You need specialist depth in a specific vertical | RTS Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: RTS Labs vs Deviniti
| Use case | RTS Labs fit | Deviniti fit | Winner |
|---|---|---|---|
| Pilot-to-production AI transitions | Strong | Limited | RTS Labs |
| Enterprise workflow automation | Strong | Limited | RTS Labs |
| Atlassian-integrated workflow agents | Limited | Strong | Deviniti |
| Custom AI application development | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Deviniti
RTS Labs (4.2/5) is the stronger overall choice for most AI Agent Development projects. Explicit pilot-to-production focus with named architecture/guardrails methodology. It is best for enterprises stuck at the AI pilot stage that need a path to measurable production ROI.
Deviniti (3.5/5) is the better choice when teams already on Atlassian tooling wanting AI agents integrated into that ecosystem. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
RTS Labs vs Deviniti FAQ
Is RTS Labs better than Deviniti?
RTS Labs (4.2/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for enterprises stuck at the AI pilot stage that need a path to measurable production ROI. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do RTS Labs and Deviniti differ in pricing?
RTS Labs uses fixed project, retainer pricing with a minimum engagement of $25K. Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: RTS Labs or Deviniti?
Deviniti 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 RTS Labs and Deviniti?
RTS Labs's primary differentiator is: explicit pilot-to-production focus with named architecture/guardrails methodology. Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (51-100 vs 201-250), minimum engagement ($25K vs $15K), and primary industries served (Manufacturing, Healthcare vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.