Qubika vs Innowise: full comparison for 2026
Last updated: August 2026
Quick verdict
Qubika (4.1/5) edges ahead of Innowise (3.7/5) 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.. Innowise is the stronger option for enterprises wanting agentic AI bundled with large-scale custom software development capacity.. The right choice depends on your project size, budget, and required tech stack.
Qubika vs Innowise: head-to-head summary
| Criterion | Qubika | Innowise |
|---|---|---|
| Founded | 2006 | 2007 |
| HQ | Austin, TX, USA | Warsaw, Poland |
| Team size | 501–1,000 | 3,500+ |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Best for | US buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity. | Enterprises wanting agentic AI bundled with large-scale custom software development capacity. |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team, staff augmentation |
| Min. engagement | Not published | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, AWS | Python, LangChain, AWS |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services | Healthcare, Financial Services, Retail & E-commerce, Manufacturing |
Qubika vs Innowise: 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.
Innowise
Innowise is an international full-cycle software development company founded in 2007 and headquartered in Warsaw, Poland, bringing together more than 3,500 IT professionals across a broad portfolio of custom software, and more recently agentic AI services. Its scale gives it capacity for large, multi-team programs across a wide range of industries, though its origins are as a generalist software house rather than an agentic-AI-first specialist. Buyers prioritizing agentic-framework depth over broad software delivery capacity may prefer a narrower specialist.
Services and capabilities: Qubika vs Innowise
| Capability | Qubika | Innowise |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Qubika vs Innowise
| Framework / platform | Qubika | Innowise |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | 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 | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Qubika vs Innowise
| Criterion | Qubika | Innowise |
|---|---|---|
| Minimum engagement | Not published | $20K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Qubika vs Innowise
| Dimension | Qubika | Innowise |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Healthcare, Financial Services, Retail & E-commerce |
| 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 | Bundling agentic AI development with a larger custom software build, Large-scale staff augmentation for an in-house AI team that needs more capacity |
| Typical project type | Fixed project | Fixed project |
Qubika vs Innowise: 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 |
| Innowise | |
|---|---|
| + | 3,500+ IT professionals gives significant capacity for large or multi-workstream programs |
| + | Full-cycle software development background covers everything from design through deployment |
| + | Nearly two decades of operating history since 2007 |
| + | Broad industry coverage suits enterprises without a narrow vertical focus |
| - | Generalist software-development origins mean agentic AI depth is newer than its overall tenure |
| - | Very large organization size can mean less senior-architect access than boutique competitors |
| - | Public case studies emphasize breadth of software services more than agentic-specific outcomes |
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 Innowise?
Innowise is the right choice for enterprises wanting agentic AI bundled with large-scale custom software development capacity..
Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Healthcare, Financial Services, Retail & E-commerce, Manufacturing.
Decision matrix: Qubika vs Innowise
| 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 Innowise ($20K (per company website; independently unverifiable)) |
| You need specialist depth in a specific vertical | Innowise |
| 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 Innowise
| Use case | Qubika fit | Innowise 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 | Strong | Both equally |
| Bundling agentic AI development with a larger custom software build | Strong | Strong | Both equally |
| Large-scale staff augmentation for an in-house AI team that needs more capacity | Limited | Strong | Innowise |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Innowise |
Verdict: Qubika vs Innowise
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..
Innowise (3.7/5) is the better choice when enterprises wanting agentic AI bundled with large-scale custom software development capacity.. If your situation matches those criteria, Innowise is a competitive option.
Related comparisons
Qubika vs Innowise FAQ
Is Qubika better than Innowise?
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.. Innowise is better for enterprises wanting agentic AI bundled with large-scale custom software development capacity..
How do Qubika and Innowise differ in pricing?
Qubika uses fixed project, dedicated team pricing with a minimum engagement of Not published. Innowise uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of $20K (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 Innowise?
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 Innowise?
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.. Innowise's primary differentiator is: full-cycle software development scale (3,500+ engineers) applied to agentic ai as an extension of a broad existing practice.. They also differ in team size (501–1,000 vs 3,500+), minimum engagement (Not published vs $20K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Healthcare, Financial Services).
Last reviewed: August 2026. Verify all details directly with each provider before making a decision.