Neurons Lab vs Cogniteq: full comparison for 2026
Last updated: August 2026
Quick verdict
Neurons Lab (4.3/5) edges ahead of Cogniteq (3.6/5) overall. Neurons Lab is the better choice for enterprises that need AI opportunity discovery and strategy before committing to a build. 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.
Neurons Lab vs Cogniteq: head-to-head summary
| Criterion | Neurons Lab | Cogniteq |
|---|---|---|
| Founded | 2019 | 2005 |
| HQ | London, UK | Vilnius, Lithuania |
| Team size | 51-200 | 51-120 |
| Rating | 4.3 / 5 | 3.6 / 5 |
| Best for | Enterprises that need AI opportunity discovery and strategy before committing to a build | 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 | LangChain, LlamaIndex, OpenAI | AWS, Azure, Python |
| Industries served | Fintech, Healthcare, Retail, Manufacturing | Fintech, Manufacturing, Logistics |
Neurons Lab vs Cogniteq: overview
Neurons Lab
Neurons Lab was co-founded in 2019 and is headquartered in London with 51-200 staff. The consultancy covers the full AI lifecycle — from identifying high-impact applications through integration and scaling — and reports having delivered tailored AI solutions to over 100 clients.
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: Neurons Lab vs Cogniteq
| Capability | Neurons Lab | Cogniteq |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| RAG & knowledge agents | ✓ | ✗ |
| Workflow integration | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| Enterprise automation | ✓ | ✓ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: Neurons Lab vs Cogniteq
| Framework / platform | Neurons Lab | Cogniteq |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | ✓ | 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: Neurons Lab vs Cogniteq
| Criterion | Neurons Lab | Cogniteq |
|---|---|---|
| Minimum engagement | $25K | $15K |
| Engagement models | Fixed project, Retainer, Staff augmentation | Dedicated team, Fixed project, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Neurons Lab vs Cogniteq
| Dimension | Neurons Lab | Cogniteq |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | Fintech, Manufacturing, Logistics |
| Best use cases | AI opportunity discovery workshops, RAG knowledge-base agents | EU-based dedicated AI teams, Workflow automation agents |
| Typical project type | Fixed project | Dedicated team |
Neurons Lab vs Cogniteq: pros and cons
| Neurons Lab | |
|---|---|
| + | Structured discovery-to-scale process reduces risk of building the wrong agent |
| + | 100+ client delivery track record (per company website) |
| + | London base eases engagement for UK/EU-regulated buyers |
| - | Discovery-first process can add timeline before implementation starts |
| - | Broader AI-consulting scope means less narrow specialization than agent-only boutiques |
| 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 Neurons Lab?
Neurons Lab is the right choice for enterprises that need AI opportunity discovery and strategy before committing to a build.
Full-lifecycle model starting at use-case identification, not just implementation. Minimum engagement starts at $25K. Works best with clients in Fintech, Healthcare, Retail, Manufacturing.
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: Neurons Lab vs Cogniteq
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Neurons Lab |
| 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 | Neurons Lab |
| 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: Neurons Lab vs Cogniteq
| Use case | Neurons Lab fit | Cogniteq fit | Winner |
|---|---|---|---|
| AI opportunity discovery workshops | Strong | Strong | Both equally |
| RAG knowledge-base agents | Strong | Limited | Neurons Lab |
| EU-based dedicated AI teams | Limited | Strong | Cogniteq |
| Workflow automation agents | Limited | Strong | Cogniteq |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Neurons Lab vs Cogniteq
Neurons Lab (4.3/5) is the stronger overall choice for most AI Agent Development projects. Full-lifecycle model starting at use-case identification, not just implementation. It is best for enterprises that need AI opportunity discovery and strategy before committing to a build.
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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Neurons Lab vs Cogniteq FAQ
Is Neurons Lab better than Cogniteq?
Neurons Lab (4.3/5) scores higher overall, but "better" depends on your use case. Neurons Lab is better for enterprises that need AI opportunity discovery and strategy before committing to a build. Cogniteq is better for eU-based buyers wanting a Baltic-region engineering partner with two decades of history.
How do Neurons Lab and Cogniteq differ in pricing?
Neurons Lab 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: Neurons Lab or Cogniteq?
Neurons Lab 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 Neurons Lab and Cogniteq?
Neurons Lab's primary differentiator is: full-lifecycle model starting at use-case identification, not just implementation. 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 (51-200 vs 51-120), minimum engagement ($25K vs $15K), and primary industries served (Fintech, Healthcare vs Fintech, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.