Qubika vs Intuz: full comparison for 2026
Last updated: August 2026
Quick verdict
Qubika (4.1/5) edges ahead of Intuz (3.6/5) overall. Qubika is the better choice for uS buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity.. Intuz is the stronger option for budget-conscious teams wanting production-grade autonomous multi-agent systems with real observability and guardrails built in.. The right choice depends on your project size, budget, and required tech stack.
Qubika vs Intuz: head-to-head summary
| Criterion | Qubika | Intuz |
|---|---|---|
| Founded | 2006 | 2008 |
| HQ | Austin, TX, USA | Ahmedabad, India |
| Team size | 501–1,000 | 51–100 |
| Rating | 4.1 / 5 | 3.6 / 5 |
| Best for | US buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity. | Budget-conscious teams wanting production-grade autonomous multi-agent systems with real observability and guardrails built in. |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | Not published | $15K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, AWS | Python, LangGraph, CrewAI |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services | Retail & E-commerce, Technology & SaaS, Healthcare |
Qubika vs Intuz: overview
Qubika
Qubika was formed from the merger of Moove It and December Labs, tracing its roots to 2006, and is headquartered in Austin, Texas with delivery centers throughout Latin America and roughly 879 employees. Its digital product and AI/cloud services practice has extended into agentic AI, giving clients access to a large Latin American engineering bench alongside a US legal and account-management entity. Its broader digital-product origins mean agentic-specific depth should be confirmed against more concentrated specialists if that is the top priority.
Intuz
Intuz is a global IT consulting and software development company with over 16 years of experience, founded in 2008, with offices in Ahmedabad, India and San Francisco, California, and a relatively small team of roughly 55–80 people. It designs, builds, and operates production autonomous agents on LangGraph, CrewAI, AutoGen, and n8n, offering custom multi-agent systems with guardrails, observability, and defined integration patterns. Its compact team size keeps costs down but caps capacity relative to larger competitors on this list.
Services and capabilities: Qubika vs Intuz
| Capability | Qubika | Intuz |
|---|---|---|
| Multi-agent orchestration | ✗ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✗ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✓ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Qubika vs Intuz
| Framework / platform | Qubika | Intuz |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | ✓ |
| AutoGen | N/A | ✓ |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Qubika vs Intuz
| Criterion | Qubika | Intuz |
|---|---|---|
| Minimum engagement | Not published | $15K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Qubika vs Intuz
| Dimension | Qubika | Intuz |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Retail & E-commerce, Technology & SaaS, Healthcare |
| Best use cases | US companies wanting a large nearshore Latin American team for agentic AI development, Bundling agentic AI into a broader digital product engineering engagement | Autonomous multi-agent systems needing built-in observability and guardrails from day one, Budget-conscious teams wanting named framework expertise across LangGraph, CrewAI, and AutoGen |
| Typical project type | Fixed project | Fixed project |
Qubika vs Intuz: pros and cons
| Qubika | |
|---|---|
| + | US headquarters (Austin, TX) with a large, multi-country Latin American delivery bench |
| + | Nearly two decades of combined operating history (via Moove It and December Labs) since 2006 |
| + | ~879 employees gives meaningful capacity for larger agentic programs |
| + | Broader digital product engineering background helps agentic features ship inside real products |
| - | Agentic AI is one offering within a broad digital product and cloud portfolio, not a standalone specialty |
| - | Merger history (Moove It + December Labs) means account continuity is worth confirming directly |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| Intuz | |
|---|---|
| + | Explicit production experience across four separate agentic orchestration frameworks |
| + | Observability and guardrails positioned as a standard part of delivery, not an add-on |
| + | ISO 9001 certified with AWS Cloud consulting partner status |
| + | Lower-cost entry point than mid-size and enterprise competitors on this list |
| - | Small team (roughly 55–80 people) caps capacity for large or highly parallel programs |
| - | Reported headquarters differs by source (Ahmedabad vs. San Francisco listed on LinkedIn) |
| - | Fewer named large-enterprise clients than bigger competitors on this list |
Who should choose Qubika?
Qubika is the right choice for uS buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity..
A US headquarters paired with a large, multi-country Latin American delivery bench (~879 people) formed from two merged digital product firms.. Minimum engagement starts at Not published. Works best with clients in Technology & SaaS, Retail & E-commerce, Financial Services.
Who should choose Intuz?
Intuz is the right choice for budget-conscious teams wanting production-grade autonomous multi-agent systems with real observability and guardrails built in..
Named production experience across four agentic frameworks (LangGraph, CrewAI, AutoGen, n8n), including observability and guardrails as standard.. Minimum engagement starts at $15K (per company website; independently unverifiable). Works best with clients in Retail & E-commerce, Technology & SaaS, Healthcare.
Decision matrix: Qubika vs Intuz
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Qubika |
| You need a large dedicated team for an ongoing programme | Qubika |
| Your budget is at the lower end | Compare: Qubika (Not published) vs Intuz ($15K (per company website; independently unverifiable)) |
| You need specialist depth in a specific vertical | Qubika |
| 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: Qubika vs Intuz
| Use case | Qubika fit | Intuz fit | Winner |
|---|---|---|---|
| US companies wanting a large nearshore Latin American team for agentic AI development | Strong | Strong | Both equally |
| Bundling agentic AI into a broader digital product engineering engagement | Strong | Limited | Qubika |
| Autonomous multi-agent systems needing built-in observability and guardrails from day one | Limited | Strong | Intuz |
| Budget-conscious teams wanting named framework expertise across LangGraph, CrewAI, and AutoGen | Limited | Strong | Intuz |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Qubika vs Intuz
Qubika (4.1/5) is the stronger overall choice for most Agentic AI Development projects. A US headquarters paired with a large, multi-country Latin American delivery bench (~879 people) formed from two merged digital product firms.. It is best for uS buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity..
Intuz (3.6/5) is the better choice when budget-conscious teams wanting production-grade autonomous multi-agent systems with real observability and guardrails built in.. If your situation matches those criteria, Intuz is a competitive option.
Related comparisons
Qubika vs Intuz FAQ
Is Qubika better than Intuz?
Qubika (4.1/5) scores higher overall, but "better" depends on your use case. Qubika is better for uS buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity.. Intuz is better for budget-conscious teams wanting production-grade autonomous multi-agent systems with real observability and guardrails built in..
How do Qubika and Intuz differ in pricing?
Qubika uses fixed project, dedicated team pricing with a minimum engagement of Not published. Intuz uses fixed project, dedicated team pricing with a minimum engagement of $15K (per company website; independently unverifiable). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Qubika or Intuz?
Qubika is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Qubika and Intuz?
Qubika's primary differentiator is: a us headquarters paired with a large, multi-country latin american delivery bench (~879 people) formed from two merged digital product firms.. Intuz's primary differentiator is: named production experience across four agentic frameworks (langgraph, crewai, autogen, n8n), including observability and guardrails as standard.. They also differ in team size (501–1,000 vs 51–100), minimum engagement (Not published vs $15K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Retail & E-commerce, Technology & SaaS).
Last reviewed: August 2026. Verify all details directly with each provider before making a decision.