Azumo vs Keyrus: full comparison for 2026
Last updated: July 2026
Quick verdict
Azumo (3.8/5) edges ahead of Keyrus (3.8/5) overall. Azumo is the better choice for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment. Keyrus is the stronger option for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Keyrus: head-to-head summary
| Criterion | Azumo | Keyrus |
|---|---|---|
| Founded | 2016 | 2000 |
| HQ | San Francisco, CA | Paris, France |
| Team size | 100–250 | 3,500+ |
| Rating | 3.8 / 5 | 3.8 / 5 |
| Best for | US companies seeking cost-effective nearshore ML development with Latin American time-zone alignment | International enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience |
| Pricing model | T&M, dedicated team | T&M, retainer |
| Min. engagement | $25K+ | $50K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Tableau, Power BI |
| Industries served | saas, fintech, healthcare, retail, logistics | financial, retail, healthcare, manufacturing, media |
Azumo vs Keyrus: overview
Azumo
Azumo was founded in 2016 and is headquartered in San Francisco, with its development centre in Latin America. The company positions itself as a nearshore AI and ML engineering partner for US companies, providing cost-effective development with US time-zone alignment. Azumo offers AI vision models for mobile, web, and edge devices alongside general ML engineering. (Founding year, HQ, and delivery model per Azumo official website.)
Keyrus
Keyrus is an international consulting group founded in 2000, headquartered in Paris, France, and operating in over 20 countries with 3,500+ professionals. The company positions itself at the intersection of business, data, and AI — helping clients move from experimental AI to industrial-grade ML systems in production. Services span data strategy, BI, analytics, AI testing, and ML deployment. (Employee count and global footprint per Keyrus official website.)
Services and capabilities: Azumo vs Keyrus
| Capability | Azumo | Keyrus |
|---|---|---|
| Custom ML build | ✓ | ✗ |
| ML consulting | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP / LLM | ✗ | ✗ |
| Predictive analytics | ✓ | ✓ |
| MLOps | ✗ | ✓ |
| Data engineering | ✗ | ✓ |
| Generative AI | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Azumo vs Keyrus
| Framework / platform | Azumo | Keyrus |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: Azumo vs Keyrus
| Criterion | Azumo | Keyrus |
|---|---|---|
| Minimum engagement | $25K+ | $50K+ |
| Engagement models | T&M, Dedicated team | T&M, Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Azumo vs Keyrus
| Dimension | Azumo | Keyrus |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | saas, fintech, healthcare | financial, retail, healthcare |
| Best use cases | Computer vision for edge or mobile device, ML model for mobile fintech app | Industrial AI deployment at enterprise scale, Analytics and ML platform for financial services |
| Typical project type | T&M | T&M |
Azumo vs Keyrus: pros and cons
| Azumo | |
|---|---|
| + | Latin American nearshore team — US time-zone alignment without premium on-shore costs |
| + | Computer vision and mobile ML specialisation |
| + | US-headquartered leadership for accountability and IP clarity |
| + | Edge device and mobile ML deployment experience |
| - | Nearshore delivery model requires strong async communication discipline |
| - | Less depth in data engineering or MLOps compared to larger ML firms |
| Keyrus | |
|---|---|
| + | Global footprint: 20+ countries, 3,500+ professionals |
| + | Industrial-AI focus — moves clients from PoC to production scale |
| + | Strong analytics and BI alongside ML for full data stack coverage |
| + | AI testing and validation capability |
| - | Large-firm pricing not suited to startup or SMB budgets |
| - | AI is one offering within broader data consulting — not ML-first |
Who should choose Azumo?
Azumo is the right choice for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.
Latin American nearshore delivery — US time-zone alignment with rates below fully on-shore alternatives. Minimum engagement starts at $25K+. Works best with clients in saas, fintech, healthcare, retail, logistics.
Who should choose Keyrus?
Keyrus is the right choice for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.
From experimental AI to industrial AI — consulting group specialising in productionising ML for large organisations. Minimum engagement starts at $50K+. Works best with clients in financial, retail, healthcare, manufacturing, media.
Decision matrix: Azumo vs Keyrus
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Azumo |
| Your budget is at the lower end | Azumo |
| You need specialist depth in a specific vertical | Azumo |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Azumo |
Use case fit: Azumo vs Keyrus
| Use case | Azumo fit | Keyrus fit | Winner |
|---|---|---|---|
| Computer vision for edge or mobile device | Strong | Limited | Azumo |
| ML model for mobile fintech app | Strong | Strong | Both equally |
| Industrial AI deployment at enterprise scale | Limited | Strong | Keyrus |
| Analytics and ML platform for financial services | Limited | Strong | Keyrus |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | Azumo |
Verdict: Azumo vs Keyrus
Azumo (3.8/5) is the stronger overall choice for most Machine Learning projects. Latin American nearshore delivery — US time-zone alignment with rates below fully on-shore alternatives. It is best for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.
Keyrus (3.8/5) is the better choice when international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. If your situation matches those criteria, Keyrus is a competitive option.
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Azumo vs Keyrus FAQ
Is Azumo better than Keyrus?
Azumo (3.8/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment. Keyrus is better for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.
How do Azumo and Keyrus differ in pricing?
Azumo uses t&m, dedicated team pricing with a minimum engagement of $25K+. Keyrus uses t&m, retainer pricing with a minimum engagement of $50K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Azumo or Keyrus?
Azumo is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Azumo and Keyrus?
Azumo's primary differentiator is: latin american nearshore delivery — us time-zone alignment with rates below fully on-shore alternatives. Keyrus's primary differentiator is: from experimental ai to industrial ai — consulting group specialising in productionising ml for large organisations. They also differ in team size (100–250 vs 3,500+), minimum engagement ($25K+ vs $50K+), and primary industries served (saas, fintech vs financial, retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.