Uvik Software vs Xenoss: full comparison for 2026
Quick verdict
Uvik Software (4.4/5) edges ahead of Xenoss (4.3/5) overall. Uvik Software is the better choice for python-heavy AI products, quick shortlist. Xenoss is the stronger option for ad-tech and high-volume data teams. The right choice depends on your project size, budget, and required tech stack.
Uvik Software vs Xenoss: head-to-head summary
| Criterion | Uvik Software | Xenoss |
|---|---|---|
| Founded | 2015 | 2013 |
| HQ | Tallinn, Estonia | New York, USA |
| Team size | 50–200 | 50–249 |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Primary differentiator | Python-only bench with published entry-level rates | Data engineers with ad-tech throughput experience |
| Pricing model | Monthly per engineer; squads of 3–8; from about $50–$99/hr per company pricing page | Time and materials; staff augmentation; rates on request |
| Min. engagement | 1 engineer | Not disclosed |
| Primary tech stack | Python, Django, FastAPI | Python, Apache Spark, Kafka |
| Industries served | SaaS, Fintech, Media, E-commerce | Ad tech, Media, Fintech, Retail and e-commerce |
Uvik Software vs Xenoss: overview
Uvik Software
Uvik Software was founded in 2015 and is headquartered in Tallinn, Estonia, with a commercial office in Ipswich, UK. It places senior Python engineers, individually or in squads of about three to eight, into client teams, and its recent work leans toward data platforms, LLM features and AI agents. The company says matched profiles arrive within 48 hours and an engineer can be working within about two weeks (per company website; independently unverifiable). Its own pages give conflicting headcounts, from 50+ to 200+ engineers.
Xenoss
Xenoss was founded in 2013 by ad-tech veterans led by CEO Dmitry Sverdlik and is based in New York, with offices in London and Kyiv. It describes itself as a specialized AI and data-engineering company, and Clutch places it in the 50–249 employee band. Client reviews describe staff augmentation in practice: one London ad-tech client hired Xenoss after failing to find engineers locally, and Xenoss sourced candidates from Ukraine and integrated them into the in-house team. Its background in high-throughput ad-tech systems shows in its data-engineering work.
Services and capabilities: Uvik Software vs Xenoss
| Capability | Uvik Software | Xenoss |
|---|---|---|
| LLM / GenAI engineers | ✓ | ✗ |
| MLOps & deployment | ✗ | ✓ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✓ | ✓ |
| AI agent development | ✓ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
Tech stack comparison: Uvik Software vs Xenoss
| Framework / platform | Uvik Software | Xenoss |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: Uvik Software vs Xenoss
| Criterion | Uvik Software | Xenoss |
|---|---|---|
| Minimum engagement | 1 engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team | Full-time dedicated engineers, Dedicated team, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Uvik Software vs Xenoss
| Dimension | Uvik Software | Xenoss |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Media | Ad tech, Media, Fintech |
| Best use cases | Adding a Python engineer to build an LLM feature in a Django product, Staffing a small squad for a data-platform migration to Databricks | Adding streaming-data engineers ahead of an ML launch, Placing ML engineers in a bidding or attribution product |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Uvik Software vs Xenoss: pros and cons
| Uvik Software | |
|---|---|
| + | Publishes a starting rate band, which few companies on this list do |
| + | Screening is run by engineers rather than generalist recruiters (per company website) |
| + | Python focus means LLM, data and backend work can sit with the same people |
| + | Strong Clutch review record for a company of its size |
| - | Python only, so mixed-stack teams need a second vendor |
| - | Headcount claims vary between the company's own pages |
| - | Less depth in computer vision than AI-first companies |
| Xenoss | |
|---|---|
| + | Strong on real-time data infrastructure that ML features depend on |
| + | Has placed engineers into UK teams that struggled to hire locally |
| + | Senior leadership comes from the industry it serves most |
| + | Covers both data engineering and model work |
| - | Ad-tech focus is narrower than general AI staffing |
| - | Mid-sized bench |
| - | Rates are not public |
Who should choose Uvik Software?
A typical fit: adding a Python engineer to build an LLM feature in a Django product.
Python-only bench with published entry-level rates. Minimum engagement starts at 1 engineer. Works best with clients in SaaS, Fintech, Media, E-commerce.
Who should choose Xenoss?
A typical fit: adding streaming-data engineers ahead of an ML launch.
Data engineers with ad-tech throughput experience. Minimum engagement is not publicly disclosed. Works best with clients in Ad tech, Media, Fintech, Retail and e-commerce.
Decision matrix: Uvik Software vs Xenoss
| 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 | Uvik Software |
| Your budget is at the lower end | Compare: Uvik Software (1 engineer) vs Xenoss (Not disclosed) |
| You need specialist depth in a specific vertical | Uvik Software |
| 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: Uvik Software vs Xenoss
| Use case | Uvik Software fit | Xenoss fit | Winner |
|---|---|---|---|
| Adding a Python engineer to build an LLM feature in a Django product | Strong | Strong | Both equally |
| Staffing a small squad for a data-platform migration to Databricks | Strong | Limited | Uvik Software |
| Adding streaming-data engineers ahead of an ML launch | Strong | Strong | Both equally |
| Placing ML engineers in a bidding or attribution product | Strong | Strong | Both equally |
Verdict: Uvik Software vs Xenoss
Uvik Software (4.4/5) is the stronger overall choice for most AI Staffing projects. Python-only bench with published entry-level rates.
Xenoss (4.3/5) is worth a look if you need placing ML engineers in a bidding or attribution product. If your situation matches that, Xenoss is a competitive option.
Related comparisons
Uvik Software vs Xenoss FAQ
Is Uvik Software better than Xenoss?
Uvik Software (4.4/5) scores higher overall, but "better" depends on your use case. Uvik Software's strongest advantage: publishes a starting rate band, which few companies on this list do. Xenoss's strongest advantage: strong on real-time data infrastructure that ML features depend on.
How do Uvik Software and Xenoss differ in pricing?
Uvik Software uses monthly per engineer; squads of 3–8; from about $50–$99/hr per company pricing page pricing with a minimum engagement of 1 engineer. Xenoss uses time and materials; staff augmentation; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Uvik Software or Xenoss?
Xenoss 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 Uvik Software and Xenoss?
Uvik Software's primary differentiator is: python-only bench with published entry-level rates. Xenoss's primary differentiator is: data engineers with ad-tech throughput experience. They also differ in team size (50–200 vs 50–249), minimum engagement (1 engineer vs Not disclosed), and primary industries served (SaaS, Fintech vs Ad tech, Media).
Verify all details directly with each agency before making a decision.