Neurons Lab vs Hakkoda: full comparison for 2026
Quick verdict
Neurons Lab (4.3/5) edges ahead of Hakkoda (3.9/5) overall. Neurons Lab is the better choice for enterprises that need AI opportunity discovery and advisory before committing to a build. Hakkoda is the stronger option for buyers wanting IBM-backed stability for data-and-AI advisory work. The right choice depends on your project size, budget, and required tech stack.
Neurons Lab vs Hakkoda: head-to-head summary
| Criterion | Neurons Lab | Hakkoda |
|---|---|---|
| Founded | 2019 | 2021 |
| HQ | London, UK | New York, NY, USA |
| Team size | 51-200 | 201-400 |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Best for | Enterprises that need AI opportunity discovery and advisory before committing to a build | Buyers wanting IBM-backed stability for data-and-AI advisory work |
| Pricing model | Fixed project, retainer | Retainer, fixed project |
| Min. engagement | $25K | $35K |
| Primary tech stack | LangChain, LlamaIndex, OpenAI | AWS, Azure, GCP |
| Industries served | Fintech, Healthcare, Retail, Manufacturing | Fintech, Healthcare, Retail |
Neurons Lab vs Hakkoda: 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 advisory lifecycle — from identifying high-impact applications through integration and scaling — and reports having delivered tailored AI solutions to over 100 clients.
Hakkoda
Hakkoda was founded in 2021 and is headquartered in New York City, with 371 employees. The firm is a modern data consultancy helping companies harness cloud platforms and AI capabilities, and was acquired by IBM in April 2025 — now operating as Hakkōda, an IBM Company, which buyers should factor into long-term roadmap and pricing expectations.
Services and capabilities: Neurons Lab vs Hakkoda
| Capability | Neurons Lab | Hakkoda |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✓ | ✓ |
| Data & analytics agents | ✓ | ✓ |
| LLM integration | ✓ | ✗ |
| Workflow integration | ✗ | ✗ |
Tech stack comparison: Neurons Lab vs Hakkoda
| Framework / platform | Neurons Lab | Hakkoda |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Neurons Lab vs Hakkoda
| Criterion | Neurons Lab | Hakkoda |
|---|---|---|
| Minimum engagement | $25K | $35K |
| Engagement models | Fixed project, Retainer, Staff augmentation | Retainer, Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Neurons Lab vs Hakkoda
| Dimension | Neurons Lab | Hakkoda |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | Fintech, Healthcare, Retail |
| Best use cases | AI opportunity discovery workshops, Agent strategy advisory | Data-platform advisory for AI agents, Cloud-and-AI capability advisory |
| Typical project type | Fixed project | Retainer |
Neurons Lab vs Hakkoda: pros and cons
| Neurons Lab | |
|---|---|
| + | Structured discovery-to-scale advisory 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 |
| Hakkoda | |
|---|---|
| + | IBM backing (since April 2025) adds financial stability and enterprise credibility |
| + | Data-platform-first advisory approach suits agents that need reliable data foundations |
| + | Internal AI agent (per Hakkoda Labs) demonstrates applied capability beyond advisory |
| - | 2025 acquisition by IBM changes ownership structure and may shift pricing/positioning over time |
| - | Post-acquisition integration into IBM's broader practice could affect team continuity |
Who should choose Neurons Lab?
Neurons Lab is the right choice for enterprises that need AI opportunity discovery and advisory before committing to a build.
Full-lifecycle advisory 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 Hakkoda?
Hakkoda is the right choice for buyers wanting IBM-backed stability for data-and-AI advisory work.
IBM acquisition (April 2025) adds enterprise backing and cross-sell into IBM's broader AI portfolio. Minimum engagement starts at $35K. Works best with clients in Fintech, Healthcare, Retail.
Decision matrix: Neurons Lab vs Hakkoda
| 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 | Check each company's engagement model |
| Your budget is at the lower end | Neurons Lab |
| 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 Hakkoda
| Use case | Neurons Lab fit | Hakkoda fit | Winner |
|---|---|---|---|
| AI opportunity discovery workshops | Strong | Strong | Both equally |
| Agent strategy advisory | Strong | Strong | Both equally |
| Data-platform advisory for AI agents | Limited | Strong | Hakkoda |
| Cloud-and-AI capability advisory | Limited | Strong | Hakkoda |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Neurons Lab vs Hakkoda
Neurons Lab (4.3/5) is the stronger overall choice for most AI Agent projects. Full-lifecycle advisory model starting at use-case identification, not just implementation. It is best for enterprises that need AI opportunity discovery and advisory before committing to a build.
Hakkoda (3.9/5) is the better choice when buyers wanting IBM-backed stability for data-and-AI advisory work. If your situation matches those criteria, Hakkoda is a competitive option.
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Neurons Lab vs Hakkoda FAQ
Is Neurons Lab better than Hakkoda?
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 advisory before committing to a build. Hakkoda is better for buyers wanting IBM-backed stability for data-and-AI advisory work.
How do Neurons Lab and Hakkoda differ in pricing?
Neurons Lab uses fixed project, retainer pricing with a minimum engagement of $25K. Hakkoda uses retainer, fixed project pricing with a minimum engagement of $35K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Neurons Lab or Hakkoda?
Hakkoda is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultancy before shortlisting.
What are the main differences between Neurons Lab and Hakkoda?
Neurons Lab's primary differentiator is: full-lifecycle advisory model starting at use-case identification, not just implementation. Hakkoda's primary differentiator is: ibm acquisition (april 2025) adds enterprise backing and cross-sell into ibm's broader ai portfolio. They also differ in team size (51-200 vs 201-400), minimum engagement ($25K vs $35K), and primary industries served (Fintech, Healthcare vs Fintech, Healthcare).