Altamira vs Keyrus: full comparison for 2026
Last updated: July 2026
Quick verdict
Altamira (3.8/5) edges ahead of Keyrus (3.8/5) overall. Altamira is the better choice for companies needing production-ready AI agents and ML systems — integrated, trained, and operational from day one. 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.
Altamira vs Keyrus: head-to-head summary
| Criterion | Altamira | Keyrus |
|---|---|---|
| Founded | 2014 | 2000 |
| HQ | Kyiv, Ukraine | Paris, France |
| Team size | 100–200 | 3,500+ |
| Rating | 3.8 / 5 | 3.8 / 5 |
| Best for | Companies needing production-ready AI agents and ML systems — integrated, trained, and operational from day one | International enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience |
| Pricing model | Fixed project, T&M | T&M, retainer |
| Min. engagement | $15K+ | $50K+ |
| Primary tech stack | Python, LangChain, OpenAI | Python, Tableau, Power BI |
| Industries served | saas, fintech, retail, healthcare, logistics | financial, retail, healthcare, manufacturing, media |
Altamira vs Keyrus: overview
Altamira
Altamira is an AI-native software development company headquartered in Kyiv, Ukraine, founded in 2014. The company provides AI agent development, ML integration, and custom AI software development. Altamira's approach prioritises production-ready AI: by the time a first agent is live, it is already integrated, trained on client data, and operational — not a handover-at-prototype model. (Founded year and service description per Altamira 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: Altamira vs Keyrus
| Capability | Altamira | 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: Altamira vs Keyrus
| Framework / platform | Altamira | Keyrus |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: Altamira vs Keyrus
| Criterion | Altamira | Keyrus |
|---|---|---|
| Minimum engagement | $15K+ | $50K+ |
| Engagement models | Fixed project, T&M | T&M, Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Altamira vs Keyrus
| Dimension | Altamira | Keyrus |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | saas, fintech, retail | financial, retail, healthcare |
| Best use cases | Production AI agent for customer service or operations, ML integration into existing product | Industrial AI deployment at enterprise scale, Analytics and ML platform for financial services |
| Typical project type | Fixed project | T&M |
Altamira vs Keyrus: pros and cons
| Altamira | |
|---|---|
| + | AI-native company — not a repositioned software shop |
| + | Production-first approach: agents are integrated and trained before handover |
| + | AI agent and GenAI development alongside classical ML |
| + | Accessible minimum engagement for mid-market and growth-stage companies |
| - | Ukraine-based delivery carries geographic risk considerations for some clients |
| - | Smaller team than enterprise firms — less suited to Fortune 500 governance |
| 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 Altamira?
Altamira is the right choice for companies needing production-ready AI agents and ML systems — integrated, trained, and operational from day one.
AI-native product-build firm — delivers fully integrated, trained AI agents ready for production from day one. Minimum engagement starts at $15K+. Works best with clients in saas, fintech, retail, healthcare, 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: Altamira vs Keyrus
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Altamira |
| You need a large dedicated team for an ongoing programme | Keyrus |
| Your budget is at the lower end | Altamira |
| You need specialist depth in a specific vertical | Altamira |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Altamira |
Use case fit: Altamira vs Keyrus
| Use case | Altamira fit | Keyrus fit | Winner |
|---|---|---|---|
| Production AI agent for customer service or operations | Strong | Strong | Both equally |
| ML integration into existing product | Strong | Strong | Both equally |
| Industrial AI deployment at enterprise scale | Limited | Strong | Keyrus |
| Analytics and ML platform for financial services | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Altamira vs Keyrus
Altamira (3.8/5) is the stronger overall choice for most Machine Learning projects. AI-native product-build firm — delivers fully integrated, trained AI agents ready for production from day one. It is best for companies needing production-ready AI agents and ML systems — integrated, trained, and operational from day one.
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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Altamira vs Keyrus FAQ
Is Altamira better than Keyrus?
Altamira (3.8/5) scores higher overall, but "better" depends on your use case. Altamira is better for companies needing production-ready AI agents and ML systems — integrated, trained, and operational from day one. Keyrus is better for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.
How do Altamira and Keyrus differ in pricing?
Altamira uses fixed project, t&m pricing with a minimum engagement of $15K+. 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: Altamira or Keyrus?
Altamira 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 Altamira and Keyrus?
Altamira's primary differentiator is: ai-native product-build firm — delivers fully integrated, trained ai agents ready for production from day one. 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 (100–200 vs 3,500+), minimum engagement ($15K+ 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.