Hakkoda vs Quytech: full comparison for 2026
Quick verdict
Hakkoda (3.9/5) edges ahead of Quytech (3.5/5) overall. Hakkoda is the better choice for buyers wanting IBM-backed stability for data-and-AI advisory work. Quytech is the stronger option for buyers wanting agentic AI advisory paired with computer vision or mobile/AR capabilities in one vendor. The right choice depends on your project size, budget, and required tech stack.
Hakkoda vs Quytech: head-to-head summary
| Criterion | Hakkoda | Quytech |
|---|---|---|
| Founded | 2021 | 2010 |
| HQ | New York, NY, USA | Gurgaon, India |
| Team size | 201-400 | 201-500 |
| Rating | 3.9 / 5 | 3.5 / 5 |
| Best for | Buyers wanting IBM-backed stability for data-and-AI advisory work | Buyers wanting agentic AI advisory paired with computer vision or mobile/AR capabilities in one vendor |
| Pricing model | Retainer, fixed project | Fixed project, T&M |
| Min. engagement | $35K | $15K |
| Primary tech stack | AWS, Azure, GCP | OpenAI, LangChain, AWS |
| Industries served | Fintech, Healthcare, Retail | Retail, Healthcare, Manufacturing |
Hakkoda vs Quytech: 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.
Quytech
Quytech was founded in 2010 and is headquartered in Gurgaon, India, with 201-500 employees. The company describes itself as an AI-first firm advising on and building agentic AI systems, generative AI applications, computer vision solutions, and predictive analytics, alongside its longer-standing mobile app and AR/VR development practice.
Services and capabilities: Hakkoda vs Quytech
| Capability | Hakkoda | Quytech |
|---|---|---|
| Enterprise automation | ✓ | ✗ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✓ | ✗ |
| Data & analytics agents | ✓ | ✓ |
| LLM integration | ✗ | ✓ |
| Workflow integration | ✗ | ✗ |
Tech stack comparison: Hakkoda vs Quytech
| Framework / platform | Hakkoda | Quytech |
|---|---|---|
| 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 | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Hakkoda vs Quytech
| Criterion | Hakkoda | Quytech |
|---|---|---|
| Minimum engagement | $35K | $15K |
| Engagement models | Retainer, Fixed project, Staff augmentation | Fixed project, T&M, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Hakkoda vs Quytech
| Dimension | Hakkoda | Quytech |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | Retail, Healthcare, Manufacturing |
| Best use cases | Data-platform advisory for AI agents, Cloud-and-AI capability advisory | Agentic AI advisory with computer vision, Predictive analytics agent strategy |
| Typical project type | Retainer | Fixed project |
Hakkoda vs Quytech: 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 |
| Quytech | |
|---|---|
| + | 148+ documented Clutch reviews indicate a substantial, verifiable advisory-and-delivery history |
| + | Combines agentic AI advisory with computer vision and AR/VR under one roof for multi-modal projects |
| + | Competitive entry pricing relative to Western-HQ competitors |
| - | Broader AI/AR/mobile portfolio means less narrow focus than agent-only specialists |
| - | Original identity as a mobile app developer means AI-agent-specific advisory case studies are still building out |
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 Quytech?
Quytech is the right choice for buyers wanting agentic AI advisory paired with computer vision or mobile/AR capabilities in one vendor.
Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone. Minimum engagement starts at $15K. Works best with clients in Retail, Healthcare, Manufacturing.
Decision matrix: Hakkoda vs Quytech
| 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 | Quytech |
| 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 Quytech
| Use case | Hakkoda fit | Quytech fit | Winner |
|---|---|---|---|
| Data-platform advisory for AI agents | Strong | Limited | Hakkoda |
| Cloud-and-AI capability advisory | Strong | Limited | Hakkoda |
| Agentic AI advisory with computer vision | Limited | Strong | Quytech |
| Predictive analytics agent strategy | Limited | Strong | Quytech |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Hakkoda vs Quytech
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.
Quytech (3.5/5) is the better choice when buyers wanting agentic AI advisory paired with computer vision or mobile/AR capabilities in one vendor. If your situation matches those criteria, Quytech is a competitive option.
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Hakkoda vs Quytech FAQ
Is Hakkoda better than Quytech?
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. Quytech is better for buyers wanting agentic AI advisory paired with computer vision or mobile/AR capabilities in one vendor.
How do Hakkoda and Quytech differ in pricing?
Hakkoda uses retainer, fixed project pricing with a minimum engagement of $35K. Quytech uses fixed project, t&m 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: Hakkoda or Quytech?
Quytech 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 Quytech?
Hakkoda's primary differentiator is: ibm acquisition (april 2025) adds enterprise backing and cross-sell into ibm's broader ai portfolio. Quytech's primary differentiator is: broader ai portfolio spanning agentic ai, computer vision, and ar/vr beyond agents alone. They also differ in team size (201-400 vs 201-500), minimum engagement ($35K vs $15K), and primary industries served (Fintech, Healthcare vs Retail, Healthcare).