Hakkoda vs Matellio: full comparison for 2026
Quick verdict
Hakkoda (3.9/5) edges ahead of Matellio (3.5/5) overall. Hakkoda is the better choice for buyers wanting IBM-backed stability for data-and-AI advisory work. Matellio is the stronger option for enterprises wanting AI agent advisory alongside a larger custom software modernization project. The right choice depends on your project size, budget, and required tech stack.
Hakkoda vs Matellio: head-to-head summary
| Criterion | Hakkoda | Matellio |
|---|---|---|
| Founded | 2021 | 2014 |
| HQ | New York, NY, USA | San Jose, CA, USA |
| Team size | 201-400 | 101-250 |
| Rating | 3.9 / 5 | 3.5 / 5 |
| Best for | Buyers wanting IBM-backed stability for data-and-AI advisory work | Enterprises wanting AI agent advisory alongside a larger custom software modernization project |
| Pricing model | Retainer, fixed project | Fixed project, dedicated team |
| Min. engagement | $35K | $25K |
| Primary tech stack | AWS, Azure, GCP | OpenAI, LangChain, AWS |
| Industries served | Fintech, Healthcare, Retail | Fintech, Healthcare, Manufacturing |
Hakkoda vs Matellio: overview
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.
Matellio
Matellio was founded in 2014 by Dilip Singh and Apoorv Gehlot and is headquartered in San Jose, California, with a global presence including the UK, France, and Germany. Employee counts range from roughly 147 to 250+ across sources, and the firm advises on and builds custom AI agents as part of a broader enterprise software development practice.
Services and capabilities: Hakkoda vs Matellio
| Capability | Hakkoda | Matellio |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✓ | ✗ |
| Data & analytics agents | ✓ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✗ | ✓ |
Tech stack comparison: Hakkoda vs Matellio
| Framework / platform | Hakkoda | Matellio |
|---|---|---|
| LangChain | N/A | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Hakkoda vs Matellio
| Criterion | Hakkoda | Matellio |
|---|---|---|
| Minimum engagement | $35K | $25K |
| Engagement models | Retainer, Fixed project, Staff augmentation | Fixed project, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Hakkoda vs Matellio
| Dimension | Hakkoda | Matellio |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | Fintech, Healthcare, Manufacturing |
| Best use cases | Data-platform advisory for AI agents, Cloud-and-AI capability advisory | Enterprise software modernization advisory, Workflow automation agent strategy |
| Typical project type | Retainer | Fixed project |
Hakkoda vs Matellio: pros and cons
| 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 |
| Matellio | |
|---|---|
| + | True multi-country European delivery footprint (UK, France, Germany), not just one offshore hub |
| + | Enterprise software development pedigree supports agent advisory embedded in larger systems |
| + | US headquarters simplifies contracting for North American buyers |
| - | AI agent advisory is one line within a broader enterprise software practice, not the company's sole focus |
| - | Employee-count estimates vary meaningfully across sources (147 to 250+) |
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.
Who should choose Matellio?
Matellio is the right choice for enterprises wanting AI agent advisory alongside a larger custom software modernization project.
US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub. Minimum engagement starts at $25K. Works best with clients in Fintech, Healthcare, Manufacturing.
Decision matrix: Hakkoda vs Matellio
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Hakkoda |
| You need a large dedicated team for an ongoing programme | Matellio |
| Your budget is at the lower end | Matellio |
| You need specialist depth in a specific vertical | Hakkoda |
| 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: Hakkoda vs Matellio
| Use case | Hakkoda fit | Matellio fit | Winner |
|---|---|---|---|
| Data-platform advisory for AI agents | Strong | Limited | Hakkoda |
| Cloud-and-AI capability advisory | Strong | Limited | Hakkoda |
| Enterprise software modernization advisory | Limited | Strong | Matellio |
| Workflow automation agent strategy | Limited | Strong | Matellio |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Hakkoda vs Matellio
Hakkoda (3.9/5) is the stronger overall choice for most AI Agent projects. IBM acquisition (April 2025) adds enterprise backing and cross-sell into IBM's broader AI portfolio. It is best for buyers wanting IBM-backed stability for data-and-AI advisory work.
Matellio (3.5/5) is the better choice when enterprises wanting AI agent advisory alongside a larger custom software modernization project. If your situation matches those criteria, Matellio is a competitive option.
Related comparisons
Hakkoda vs Matellio FAQ
Is Hakkoda better than Matellio?
Hakkoda (3.9/5) scores higher overall, but "better" depends on your use case. Hakkoda is better for buyers wanting IBM-backed stability for data-and-AI advisory work. Matellio is better for enterprises wanting AI agent advisory alongside a larger custom software modernization project.
How do Hakkoda and Matellio differ in pricing?
Hakkoda uses retainer, fixed project pricing with a minimum engagement of $35K. Matellio uses fixed project, dedicated team pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Hakkoda or Matellio?
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 Hakkoda and Matellio?
Hakkoda's primary differentiator is: ibm acquisition (april 2025) adds enterprise backing and cross-sell into ibm's broader ai portfolio. Matellio's primary differentiator is: us-hq enterprise software firm with true multi-country delivery (uk, france, germany) beyond a single offshore hub. They also differ in team size (201-400 vs 101-250), minimum engagement ($35K vs $25K), and primary industries served (Fintech, Healthcare vs Fintech, Healthcare).