RTS Labs vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
RTS Labs (4.5/5) edges ahead of Deviniti (4.0/5) overall. RTS Labs is the better choice for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system.. Deviniti is the stronger option for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. 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 | Glen Allen, VA, USA | Wrocław, Poland |
| Team size | 51–200 | 201–500 |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Best for | Mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system. | Enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner. |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $25K (per company website; independently unverifiable) | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, LangGraph | Python, Java, LangChain |
| Industries served | Financial Services, Healthcare, Manufacturing, Retail & E-commerce | Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce |
RTS Labs vs Deviniti: overview
RTS Labs
RTS Labs is a Richmond/Glen Allen, Virginia-based AI consultancy founded in 2010 that positions itself as a boutique alternative to large systems integrators for enterprise AI and agent programs. The roughly 66–100 person team focuses on the architecture, guardrails, and hands-on engineering needed to move an AI pilot into a governed production deployment rather than stopping at a proof of concept. Its size gives it a shorter chain of command than the global SIs on this list, at the cost of the bench depth those firms can offer for very large multi-country rollouts.
Deviniti
Deviniti is a Wrocław, Poland-based software company founded in 2004 by Piotr Dorosz and Jacek Machata, with roughly 260 employees across Europe and North America. It grew out of enterprise IT solutions for the financial sector and built a significant Atlassian-ecosystem practice (apps and consulting) before extending into broader enterprise software and, more recently, agentic AI. Its AI-agent practice is newer than its Atlassian and enterprise-software work, so buyers should weight recent agent-specific references more heavily than the firm's overall tenure.
Services and capabilities: RTS Labs vs Deviniti
| Capability | RTS Labs | Deviniti |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✓ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: RTS Labs vs Deviniti
| Framework / platform | RTS Labs | Deviniti |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | ✓ | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: RTS Labs vs Deviniti
| Criterion | RTS Labs | Deviniti |
|---|---|---|
| Minimum engagement | $25K (per company website; independently unverifiable) | $20K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| 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 | Financial Services, Healthcare, Manufacturing | Financial Services, Manufacturing, Technology & SaaS |
| Best use cases | Converting an internal AI pilot into a production system with proper monitoring and guardrails, Building workflow-integration agents that connect into existing enterprise software | Building workflow-integration agents for teams already running Atlassian tooling, Automating internal enterprise processes for financial-sector clients |
| Typical project type | Fixed project | Fixed project |
RTS Labs vs Deviniti: pros and cons
| RTS Labs | |
|---|---|
| + | Explicit specialization in the pilot-to-production transition, not just prototype building |
| + | Boutique team size means direct access to senior architects rather than layered account management |
| + | Founder-led (Jyot Singh) with a decade-plus of continuity at the same firm |
| + | Guardrails and governance framing appeals to risk-conscious enterprise buyers |
| - | Team of roughly 66–100 people limits capacity for very large, multi-workstream enterprise rollouts |
| - | Narrower public case study library than larger, longer-established competitors |
| - | Primarily US-market focused with less documented international delivery experience |
| Deviniti | |
|---|---|
| + | Two decades of enterprise systems-integration experience, originally rooted in financial-sector IT |
| + | Established Atlassian-ecosystem practice gives it a natural workflow-integration angle for agents |
| + | ~260-person team spread across Europe and North America for regional delivery coverage |
| + | Founder-led continuity since 2004 provides institutional stability |
| - | Agentic AI is a newer addition to a legacy enterprise-software and Atlassian practice, with a shorter track record than its overall tenure suggests |
| - | Less name recognition in AI-specific buyer circles compared to AI-first competitors |
| - | Public agent-specific case studies are limited relative to its Atlassian portfolio |
Who should choose RTS Labs?
RTS Labs is the right choice for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system..
Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Financial Services, Healthcare, Manufacturing, Retail & E-commerce.
Who should choose Deviniti?
Deviniti is the right choice for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce.
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 | RTS Labs |
| 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 |
|---|---|---|---|
| Converting an internal AI pilot into a production system with proper monitoring and guardrails | Strong | Limited | RTS Labs |
| Building workflow-integration agents that connect into existing enterprise software | Strong | Strong | Both equally |
| Building workflow-integration agents for teams already running Atlassian tooling | Strong | Strong | Both equally |
| Automating internal enterprise processes for financial-sector clients | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Deviniti
RTS Labs (4.5/5) is the stronger overall choice for most AI Agent Development projects. Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping.. It is best for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system..
Deviniti (4.0/5) is the better choice when enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. 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 (4.5/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system.. Deviniti is better for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
How do RTS Labs and Deviniti differ in pricing?
RTS Labs uses fixed project, dedicated team pricing with a minimum engagement of $25K (per company website; independently unverifiable). Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $20K (per company website; independently unverifiable). 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: architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping.. Deviniti's primary differentiator is: two decades of enterprise systems-integration work, including deep atlassian-ecosystem expertise, applied to agent workflow integration.. They also differ in team size (51–200 vs 201–500), minimum engagement ($25K (per company website; independently unverifiable) vs $20K (per company website; independently unverifiable)), and primary industries served (Financial Services, Healthcare vs Financial Services, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.