Best Agentic AI Development Services

Tensorway vs Qubika: full comparison for 2026

Last updated: August 2026

Quick verdict

Tensorway (4.8/5) edges ahead of Qubika (4.1/5) overall. Tensorway is the better choice for teams that specifically want autonomous, multi-step agentic reasoning — not a scripted chatbot with an LLM front end.. Qubika is the stronger option for uS buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity.. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs Qubika: head-to-head summary

Criterion Tensorway Qubika
Founded 2019 2006
HQ Alicante, Spain Austin, TX, USA
Team size 50–249 501–1,000
Rating 4.8 / 5 4.1 / 5
Best for Teams that specifically want autonomous, multi-step agentic reasoning — not a scripted chatbot with an LLM front end. US buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity.
Pricing model Fixed project, dedicated team, retainer, time & materials, plus a discovery-first exploratory option Fixed project, dedicated team
Min. engagement $10K (per company website; independently unverifiable) Not published
Primary tech stack Python, TypeScript, LangChain Python, LangChain, AWS
Industries served Healthcare, Financial Services, Retail & E-commerce, Manufacturing Technology & SaaS, Retail & E-commerce, Financial Services

Tensorway vs Qubika: overview

Tensorway

Tensorway is the AI-focused unit of an established Alicante, Spain software development company with roughly 25 years in the market, spun out specifically to build agentic — not scripted or single-turn — systems. Its differentiator is graph-based memory that supports genuinely multi-step reasoning across a task, paired with autonomous execution refined through reinforcement-learning feedback, which the company positions against reactive chatbots explicitly. A six-phase methodology takes a client from assessment to a working agentic MVP in roughly a month, with compliance (GDPR, HIPAA, ISO 27001) embedded rather than bolted on at the end.

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.

Services and capabilities: Tensorway vs Qubika

Capability Tensorway Qubika
Multi-agent orchestration
RAG / knowledge integration
Workflow & systems integration
Coding agents
Monitoring & anomaly detection
Customer-facing agents

Tech stack comparison: Tensorway vs Qubika

Framework / platform Tensorway Qubika
LangChain
LangGraph N/A
AutoGen N/A
LlamaIndex 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: Tensorway vs Qubika

Criterion Tensorway Qubika
Minimum engagement $10K (per company website; independently unverifiable) Not published
Engagement models Fixed project, Dedicated team, Retainer, Time & materials, Discovery-first Fixed project, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Mid-market

Target audience comparison: Tensorway vs Qubika

Dimension Tensorway Qubika
Best company size Startup to mid-market Mid-market to enterprise
Best industries Healthcare, Financial Services, Retail & E-commerce Technology & SaaS, Retail & E-commerce, Financial Services
Best use cases Building a genuinely autonomous agent that plans and revises its own approach mid-task, Multi-agent systems that coordinate specialized agents via LangGraph or Autogen US companies wanting a large nearshore Latin American team for agentic AI development, Bundling agentic AI into a broader digital product engineering engagement
Typical project type Fixed project Fixed project

Tensorway vs Qubika: pros and cons

Tensorway
+ Graph-based memory architecture is a genuine technical differentiator for multi-step agentic reasoning
+ Reinforcement-learning-refined autonomous execution goes beyond static rule-based automation
+ Six-phase methodology reaches a working agentic MVP in roughly a month
+ Compliance embedded from phase five rather than retrofitted after deployment
+ Backed by a parent company with two-plus decades of software delivery history
- Team size (50–249, shared across the parent company's broader practice) is smaller than several competitors on this list
- Published case studies are a short list, so agentic depth outside those verticals is less proven
- Minimum engagement and project-count figures are sourced from the company's own site and independently unverifiable
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

Who should choose Tensorway?

Tensorway is the right choice for teams that specifically want autonomous, multi-step agentic reasoning — not a scripted chatbot with an LLM front end..

Graph-based memory enabling genuine multi-step reasoning, with reinforcement-learning-refined autonomous execution, explicitly positioned against reactive chatbots.. Minimum engagement starts at $10K (per company website; independently unverifiable). Works best with clients in Healthcare, Financial Services, Retail & E-commerce, Manufacturing.

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.

Decision matrix: Tensorway vs Qubika

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Tensorway
You need a large dedicated team for an ongoing programme Tensorway
Your budget is at the lower end Compare: Tensorway ($10K (per company website; independently unverifiable)) vs Qubika (Not published)
You need specialist depth in a specific vertical Tensorway
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: Tensorway vs Qubika

Use case Tensorway fit Qubika fit Winner
Building a genuinely autonomous agent that plans and revises its own approach mid-task Strong Limited Tensorway
Multi-agent systems that coordinate specialized agents via LangGraph or Autogen Strong Limited Tensorway
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 Limited Strong Qubika
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs Qubika

Tensorway (4.8/5) is the stronger overall choice for most Agentic AI Development projects. Graph-based memory enabling genuine multi-step reasoning, with reinforcement-learning-refined autonomous execution, explicitly positioned against reactive chatbots.. It is best for teams that specifically want autonomous, multi-step agentic reasoning — not a scripted chatbot with an LLM front end..

Qubika (4.1/5) is the better choice when uS buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity.. If your situation matches those criteria, Qubika is a competitive option.

Related comparisons

Tensorway vs Qubika FAQ

Is Tensorway better than Qubika?

Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway is better for teams that specifically want autonomous, multi-step agentic reasoning — not a scripted chatbot with an LLM front end.. Qubika is better for uS buyers wanting a large Latin American delivery bench for agentic AI, managed through a US-based entity..

How do Tensorway and Qubika differ in pricing?

Tensorway uses fixed project, dedicated team, retainer, time & materials, plus a discovery-first exploratory option pricing with a minimum engagement of $10K (per company website; independently unverifiable). Qubika uses fixed project, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Tensorway or Qubika?

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 Tensorway and Qubika?

Tensorway's primary differentiator is: graph-based memory enabling genuine multi-step reasoning, with reinforcement-learning-refined autonomous execution, explicitly positioned against reactive chatbots.. 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.. They also differ in team size (50–249 vs 501–1,000), minimum engagement ($10K (per company website; independently unverifiable) vs Not published), and primary industries served (Healthcare, Financial Services vs Technology & SaaS, Retail & E-commerce).

Last reviewed: August 2026. Verify all details directly with each provider before making a decision.