Hakkoda vs Data Reply: full comparison for 2026
Quick verdict
Hakkoda (3.9/5) edges ahead of Data Reply (3.7/5) overall. Hakkoda is the better choice for buyers wanting IBM-backed stability for data-and-AI advisory work. Data Reply is the stronger option for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. The right choice depends on your project size, budget, and required tech stack.
Hakkoda vs Data Reply: head-to-head summary
| Criterion | Hakkoda | Data Reply |
|---|---|---|
| Founded | 2021 | 1996 |
| HQ | New York, NY, USA | London, UK (Reply Group, Turin, Italy) |
| Team size | 201-400 | 11-58 |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Best for | Buyers wanting IBM-backed stability for data-and-AI advisory work | Buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent |
| Pricing model | Retainer, fixed project | Retainer, fixed project |
| Min. engagement | $35K | $25K |
| Primary tech stack | AWS, Azure, GCP | Azure, AWS, Python |
| Industries served | Fintech, Healthcare, Retail | Fintech, Retail, Manufacturing |
Hakkoda vs Data Reply: 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.
Data Reply
Data Reply is a specialized division of Reply, the Italian IT consulting and system integration company founded in 1996 and headquartered in Turin, Italy, with Reply overall employing over 17,000 people as a publicly traded company. Data Reply's UK and Germany divisions (roughly 11-58 employees each) focus on analytics, big data engineering, data science, and AI implementation advisory.
Services and capabilities: Hakkoda vs Data Reply
| Capability | Hakkoda | Data Reply |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✓ | ✗ |
| Data & analytics agents | ✓ | ✓ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✗ | ✓ |
Tech stack comparison: Hakkoda vs Data Reply
| Framework / platform | Hakkoda | Data Reply |
|---|---|---|
| LangChain | N/A | 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: Hakkoda vs Data Reply
| Criterion | Hakkoda | Data Reply |
|---|---|---|
| Minimum engagement | $35K | $25K |
| Engagement models | Retainer, Fixed project, Staff augmentation | Retainer, Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Hakkoda vs Data Reply
| Dimension | Hakkoda | Data Reply |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | Fintech, Retail, Manufacturing |
| Best use cases | Data-platform advisory for AI agents, Cloud-and-AI capability advisory | Data-and-AI advisory for EU enterprises, Big data engineering for agent systems |
| Typical project type | Retainer | Retainer |
Hakkoda vs Data Reply: 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 |
| Data Reply | |
|---|---|
| + | Backed by Reply, a publicly traded 17,000+ person IT consulting group, for financial stability |
| + | Specialized data-and-AI division stays focused rather than being a generalist practice |
| + | European delivery footprint (UK, Germany) suits EU data-residency needs |
| - | Individual division team size (11-58) is small relative to the parent group, limiting standalone capacity |
| - | Reporting structure inside a larger group can add coordination layers for cross-border engagements |
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 Data Reply?
Data Reply is the right choice for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division. Minimum engagement starts at $25K. Works best with clients in Fintech, Retail, Manufacturing.
Decision matrix: Hakkoda vs Data Reply
| 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 | Check each company's engagement model |
| Your budget is at the lower end | Data Reply |
| 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 Data Reply
| Use case | Hakkoda fit | Data Reply fit | Winner |
|---|---|---|---|
| Data-platform advisory for AI agents | Strong | Limited | Hakkoda |
| Cloud-and-AI capability advisory | Strong | Limited | Hakkoda |
| Data-and-AI advisory for EU enterprises | Limited | Strong | Data Reply |
| Big data engineering for agent systems | Limited | Strong | Data Reply |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Hakkoda vs Data Reply
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.
Data Reply (3.7/5) is the better choice when buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. If your situation matches those criteria, Data Reply is a competitive option.
Related comparisons
Hakkoda vs Data Reply FAQ
Is Hakkoda better than Data Reply?
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. Data Reply is better for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
How do Hakkoda and Data Reply differ in pricing?
Hakkoda uses retainer, fixed project pricing with a minimum engagement of $35K. Data Reply uses retainer, fixed project 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 Data Reply?
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 Data Reply?
Hakkoda's primary differentiator is: ibm acquisition (april 2025) adds enterprise backing and cross-sell into ibm's broader ai portfolio. Data Reply's primary differentiator is: backed by publicly traded reply group (17,000+ employees) while operating as a focused, smaller specialist division. They also differ in team size (201-400 vs 11-58), minimum engagement ($35K vs $25K), and primary industries served (Fintech, Healthcare vs Fintech, Retail).