Quantiphi vs Uvik Software: full comparison for 2026
Last updated: July 2026
Quick verdict
Quantiphi (4.4/5) edges ahead of Uvik Software (4.1/5) overall. Quantiphi is the better choice for enterprises that need cloud-native ML at scale on AWS or Google Cloud with top-tier partnership credentials. Uvik Software is the stronger option for teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs Uvik Software: head-to-head summary
| Criterion | Quantiphi | Uvik Software |
|---|---|---|
| Founded | 2013 | 2015 |
| HQ | Marlborough, MA | US / Ukraine |
| Team size | 1,000–5,000 | 50–200 |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Best for | Enterprises that need cloud-native ML at scale on AWS or Google Cloud with top-tier partnership credentials | Teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors |
| Pricing model | Fixed project, T&M, dedicated team | Dedicated team, T&M |
| Min. engagement | $75K | $15K |
| Primary tech stack | TensorFlow, PyTorch, AWS SageMaker | Python, TensorFlow, PyTorch |
| Industries served | Healthcare & Life Sciences, Financial Services, Media & Entertainment, Manufacturing & Industrial, Retail & E-commerce | Healthcare & Life Sciences, Financial Services, SaaS & Technology, Retail & E-commerce |
Quantiphi vs Uvik Software: overview
Quantiphi
Quantiphi is an AI-first digital engineering company founded in 2013 and headquartered in Marlborough, MA, with 1,001–5,000 employees. The firm holds AWS Premier Global Consulting Partner status and was named a Google Cloud Partner of the Year across four categories in 2026. Quantiphi's ML practice spans cloud-native model development, MLOps, computer vision, NLP, and generative AI, with a strong track record in healthcare, financial services, media, and retail.
Uvik Software
Uvik Software is a software and AI development company founded in 2015 with offices in the US and Ukraine, staffed at 50–200 engineers. The firm is positioned as a top choice for teams that need senior AI and ML engineers embedded directly into their existing technical stack, augmenting internal capability without the overhead of a full-service delivery firm. Uvik serves healthcare, finance, SaaS, and retail clients.
Services and capabilities: Quantiphi vs Uvik Software
| Capability | Quantiphi | Uvik Software |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✓ |
| NLP & LLMs | ✓ | ✓ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: Quantiphi vs Uvik Software
| Framework / platform | Quantiphi | Uvik Software |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | ✓ | N/A |
| Azure ML | N/A | N/A |
| Vertex AI | ✓ | N/A |
| Scikit-learn | N/A | ✓ |
| Hugging Face | N/A | N/A |
| Apache Spark | ✓ | N/A |
| Kubernetes | N/A | ✓ |
| MLflow | N/A | ✓ |
Pricing comparison: Quantiphi vs Uvik Software
| Criterion | Quantiphi | Uvik Software |
|---|---|---|
| Minimum engagement | $75K | $15K |
| Engagement models | Fixed project, Time & materials, Dedicated team | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Quantiphi vs Uvik Software
| Dimension | Quantiphi | Uvik Software |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Healthcare & Life Sciences, Financial Services, Media & Entertainment | Healthcare & Life Sciences, Financial Services, SaaS & Technology |
| Best use cases | Enterprise ML platform build on AWS SageMaker with MLOps pipeline and model governance, Healthcare computer vision system for radiology and pathology AI on Google Cloud | Senior ML engineer augmentation for internal data science team at Series B SaaS company, MLOps engineer embedded in healthcare platform team to build model monitoring infrastructure |
| Typical project type | Fixed project | Dedicated team |
Quantiphi vs Uvik Software: pros and cons
| Quantiphi | |
|---|---|
| + | AWS Premier + Google Cloud four-time Partner of the Year — independently verified at the highest cloud tier |
| + | Named first Preferred Amazon Quick Global SI Partner by the AWS GenAI Innovation Center |
| + | Deep healthcare ML practice with imaging AI and clinical NLP deployments |
| + | Large team (1,000–5,000) supports enterprise-scale parallel programmes across multiple verticals |
| + | Covers both cloud-native SageMaker/Vertex AI and on-premise ML infrastructure |
| - | $75K+ minimum engagement excludes SMB and startup budgets |
| - | Large-firm delivery cadence can feel slower than agile boutiques for fast-moving projects |
| - | Strong AWS and GCP depth; less Azure-native capability compared to Microsoft-aligned firms |
| Uvik Software | |
|---|---|
| + | Senior-only engineer pool — clients get practitioners who can work independently in complex ML codebases |
| + | Direct embedding model — engineers work in client tools and repos, not an isolated delivery environment |
| + | Low $15K minimum engagement for staff augmentation with vetted ML talent |
| + | Flexible team scaling — add or reduce engineers month to month based on project demand |
| + | Covers ML, MLOps, and data engineering augmentation across multiple cloud stacks |
| - | Staffing model means client team must provide direction — not suitable for teams without internal ML leadership |
| - | Less project delivery track record than outcome-accountable boutiques |
| - | Ukraine-based engineers carry same geopolitical risk as other Eastern European providers |
Who should choose Quantiphi?
Quantiphi is the right choice for enterprises that need cloud-native ML at scale on AWS or Google Cloud with top-tier partnership credentials.
AWS Premier and four-time Google Cloud Partner of the Year — the highest independently verified cloud ML credentials in the market. Minimum engagement starts at $75K. Works best with clients in Healthcare & Life Sciences, Financial Services, Media & Entertainment, Manufacturing & Industrial, Retail & E-commerce.
Who should choose Uvik Software?
Uvik Software is the right choice for teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors.
Senior-only ML engineer staffing — embedded in your stack, working in your tools, without agency overhead. Minimum engagement starts at $15K. Works best with clients in Healthcare & Life Sciences, Financial Services, SaaS & Technology, Retail & E-commerce.
Decision matrix: Quantiphi vs Uvik Software
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Quantiphi |
| You need a large dedicated team for an ongoing programme | Quantiphi |
| Your budget is at the lower end | Uvik Software |
| You need specialist depth in a specific vertical | Quantiphi |
| You need staff augmentation or team extension | Uvik Software |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Quantiphi vs Uvik Software
| Use case | Quantiphi fit | Uvik Software fit | Winner |
|---|---|---|---|
| Enterprise ML platform build on AWS SageMaker with MLOps pipeline and model governance | Strong | Limited | Quantiphi |
| Healthcare computer vision system for radiology and pathology AI on Google Cloud | Strong | Strong | Both equally |
| Senior ML engineer augmentation for internal data science team at Series B SaaS company | Limited | Strong | Uvik Software |
| MLOps engineer embedded in healthcare platform team to build model monitoring infrastructure | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Quantiphi vs Uvik Software
Quantiphi (4.4/5) is the stronger overall choice for most Machine Learning Development projects. AWS Premier and four-time Google Cloud Partner of the Year — the highest independently verified cloud ML credentials in the market. It is best for enterprises that need cloud-native ML at scale on AWS or Google Cloud with top-tier partnership credentials.
Uvik Software (4.1/5) is the better choice when teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors. If your situation matches those criteria, Uvik Software is a competitive option.
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Quantiphi vs Uvik Software FAQ
Is Quantiphi better than Uvik Software?
Quantiphi (4.4/5) scores higher overall, but "better" depends on your use case. Quantiphi is better for enterprises that need cloud-native ML at scale on AWS or Google Cloud with top-tier partnership credentials. Uvik Software is better for teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors.
How do Quantiphi and Uvik Software differ in pricing?
Quantiphi uses fixed project, t&m, dedicated team pricing with a minimum engagement of $75K. Uvik Software uses dedicated team, t&m pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Quantiphi or Uvik Software?
Quantiphi is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Quantiphi and Uvik Software?
Quantiphi's primary differentiator is: aws premier and four-time google cloud partner of the year — the highest independently verified cloud ml credentials in the market. Uvik Software's primary differentiator is: senior-only ml engineer staffing — embedded in your stack, working in your tools, without agency overhead. They also differ in team size (1,000–5,000 vs 50–200), minimum engagement ($75K vs $15K), and primary industries served (Healthcare & Life Sciences, Financial Services vs Healthcare & Life Sciences, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.