RTS Labs vs Cogniteq: full comparison for 2026
Last updated: August 2026
Quick verdict
RTS Labs (4.2/5) edges ahead of Cogniteq (3.6/5) overall. RTS Labs is the better choice for enterprises stuck at the AI pilot stage that need a path to measurable production ROI. Cogniteq is the stronger option for eU-based buyers wanting a Baltic-region engineering partner with two decades of history. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Cogniteq: head-to-head summary
| Criterion | RTS Labs | Cogniteq |
|---|---|---|
| Founded | 2010 | 2005 |
| HQ | Richmond, VA, USA | Vilnius, Lithuania |
| Team size | 51-100 | 51-120 |
| Rating | 4.2 / 5 | 3.6 / 5 |
| Best for | Enterprises stuck at the AI pilot stage that need a path to measurable production ROI | EU-based buyers wanting a Baltic-region engineering partner with two decades of history |
| Pricing model | Fixed project, retainer | Dedicated team, fixed project |
| Min. engagement | $25K | $15K |
| Primary tech stack | Azure, AWS, OpenAI | AWS, Azure, Python |
| Industries served | Manufacturing, Healthcare, Logistics | Fintech, Manufacturing, Logistics |
RTS Labs vs Cogniteq: 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.
Cogniteq
Cogniteq was founded in 2005 and is headquartered in Vilnius, Lithuania, with additional offices in Poland and the US, and roughly 85-120 employees. The company is a full-cycle software development firm offering AI and automation services alongside its broader technology consulting practice.
Services and capabilities: RTS Labs vs Cogniteq
| Capability | RTS Labs | Cogniteq |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
| Agent orchestration | ✗ | ✗ |
| Enterprise automation | ✓ | ✓ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: RTS Labs vs Cogniteq
| Framework / platform | RTS Labs | Cogniteq |
|---|---|---|
| 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 Cogniteq
| Criterion | RTS Labs | Cogniteq |
|---|---|---|
| Minimum engagement | $25K | $15K |
| Engagement models | Fixed project, Retainer | Dedicated team, Fixed project, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Cogniteq
| Dimension | RTS Labs | Cogniteq |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, Logistics | Fintech, Manufacturing, Logistics |
| Best use cases | Pilot-to-production AI transitions, Enterprise workflow automation | EU-based dedicated AI teams, Workflow automation agents |
| Typical project type | Fixed project | Dedicated team |
RTS Labs vs Cogniteq: 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 |
| Cogniteq | |
|---|---|
| + | 20 years of operating history with a stable Baltic-region base |
| + | EU headquarters (Lithuania) simplifies data-residency conversations for EU clients |
| + | Full-cycle development capability supports agents embedded in larger builds |
| - | Smaller team (85-120) limits very large program capacity |
| - | General software development identity means fewer AI-agent-specific public case studies than specialist firms |
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 Cogniteq?
Cogniteq is the right choice for eU-based buyers wanting a Baltic-region engineering partner with two decades of history.
20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs. Minimum engagement starts at $15K. Works best with clients in Fintech, Manufacturing, Logistics.
Decision matrix: RTS Labs vs Cogniteq
| 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 | Cogniteq |
| Your budget is at the lower end | Cogniteq |
| 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 Cogniteq
| Use case | RTS Labs fit | Cogniteq fit | Winner |
|---|---|---|---|
| Pilot-to-production AI transitions | Strong | Limited | RTS Labs |
| Enterprise workflow automation | Strong | Limited | RTS Labs |
| EU-based dedicated AI teams | Limited | Strong | Cogniteq |
| Workflow automation agents | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Cogniteq
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.
Cogniteq (3.6/5) is the better choice when eU-based buyers wanting a Baltic-region engineering partner with two decades of history. If your situation matches those criteria, Cogniteq is a competitive option.
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RTS Labs vs Cogniteq FAQ
Is RTS Labs better than Cogniteq?
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. Cogniteq is better for eU-based buyers wanting a Baltic-region engineering partner with two decades of history.
How do RTS Labs and Cogniteq differ in pricing?
RTS Labs uses fixed project, retainer pricing with a minimum engagement of $25K. Cogniteq uses dedicated team, fixed project 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 Cogniteq?
Cogniteq 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 Cogniteq?
RTS Labs's primary differentiator is: explicit pilot-to-production focus with named architecture/guardrails methodology. Cogniteq's primary differentiator is: 20 years of full-cycle software delivery based in the eu (lithuania), useful for eu data-residency needs. They also differ in team size (51-100 vs 51-120), minimum engagement ($25K vs $15K), and primary industries served (Manufacturing, Healthcare vs Fintech, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.