Xenoss
AdTech-born AI and data engineering firm built around small senior teams
Founded 2013 | New York, New York, USA | 100–200 employees
data-engineeringai-agent-developersrag-genai
What is Xenoss?
Xenoss was founded in 2013 by AdTech veterans and lists its headquarters in New York, with CEO Dmitry Sverdlik. Directories put headcount between 100 and 200. It specializes in AI and data engineering, including AI agents, real-time data systems and LLM knowledge bases, and favors small senior teams. Team extension appears in its history, but it does not run a dedicated staff augmentation offer.
Xenoss works primarily with clients in Media, Retail & e-commerce, Software & SaaS sectors. Its primary differentiator is: Real-time, high-load data engineering from AdTech roots.
Xenoss tech stack and services
PythonKafkaSparkClickHouseAWSLangChain
| Service area |
|---|
| Data Engineering |
| AI Agent Developers |
| RAG & GenAI |
Xenoss pricing
Short answer: Xenoss uses a team extension and project pricing; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Managed delivery | Variable; depends on team size | Large programmes or team augmentation |
Xenoss does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Xenoss pros and cons
| Advantages | Things to consider |
|---|---|
| +High-load, real-time data experience | -No dedicated staff augmentation page |
| +Small senior teams with low management overhead | -Industry focus is narrow outside AdTech and MarTech |
| +Builds agents and knowledge bases on its own data work | -Headcount data varies |
Xenoss vs alternatives
How Xenoss compares to the other top AI Staff Augmentation companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| EPAM Systems | Large enterprises, regulated industries, multi-team AI programs. | Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes | 4.6 | Full comparison |
| Turing | Fast access to LLM and ML specialists from... | An AI-first network whose engineers also do model training and evaluation work for frontier labs | 4.5 | Full comparison |
| Tensorway | Product teams adding senior AI specialists without vendor... | Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories | 4.4 | Full comparison |
| BairesDev | U.S. companies needing several AI engineers on matching... | A large salaried Latin American bench that works U.S. time zones | 4.3 | Full comparison |
| deepsense.ai | Research-heavy ML problems, computer vision, edge AI. | A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench | 4.3 | Full comparison |
| N-iX | Data-heavy AI work needing a large European team. | Data engineering and ML from a 2,000-person European employer with two decades of delivery history | 4.2 | Full comparison |
| Andela | Enterprises building blended global teams with AI skills. | A marketplace that certifies engineers on AI skills before placement | 4.2 | Full comparison |
| Toptal | Short engagements with one senior AI specialist. | A heavily screened freelance pool that can supply one senior expert quickly | 4.2 | Full comparison |
| Globant | Enterprises wanting AI capacity on a subscription model. | Subscription-based AI Pods as an alternative to per-engineer billing | 4.1 | Full comparison |
| Azumo | Nearshore LLM and NLP builds for U.S. mid-market. | A nearshore team that also builds its own NLP products | 4.1 | Full comparison |
| InData Labs | Mid-sized companies adding data scientists to product teams. | A data-science-only firm small enough that senior staff stay involved | 4.1 | Full comparison |
| Innowise | Companies needing AI engineers plus surrounding app developers. | A large in-house bench that can staff AI and conventional engineering roles together | 4.1 | Full comparison |
| Uvik Software | Python-heavy AI teams wanting transparent pricing. | Published rate band, minimum term and replacement guarantee | 4.0 | Full comparison |
| DataArt | Finance and healthcare firms extending data and AI... | Nearly three decades of domain work in finance, healthcare and travel | 4.0 | Full comparison |
| Encora | U.S. firms wanting nearshore AI teams from a... | Large Mexican and Latin American delivery base with an AI engineering practice | 4.0 | Full comparison |
| Wizeline | U.S. companies wanting Mexico-based AI engineers. | A Guadalajara delivery base close to U.S. clients in time and travel | 4.0 | Full comparison |
| Intellias | Automotive and location-tech teams adding ML engineers. | Domain depth in automotive and mapping software | 4.0 | Full comparison |
| Kanerika | Microsoft Fabric and Databricks shops needing AI-ready data. | Platform specialists for Fabric, Databricks and Snowflake | 3.9 | Full comparison |
| Nearsure | U.S. teams adding Latin American GenAI developers. | Augmentation-first business model with a growing AI studio | 3.9 | Full comparison |
| nCube | Companies building a long-term offshore AI team. | Builds and runs a client-branded R&D team, including HR and office setup | 3.9 | Full comparison |
| Svitla Systems | Long-running team extension with mixed AI and app... | Two decades of team-extension relationships with U.S. clients | 3.9 | Full comparison |
| STX Next | Python codebases adding LLM and data engineers. | Python specialization applied to data and AI delivery | 3.9 | Full comparison |
| Howdy.com | U.S. startups hiring full-time Latin American AI engineers. | Full-time, single-client placements with employment handled by Howdy | 3.9 | Full comparison |
| Revelo | Hiring Latin American developers through a marketplace. | A very large Latin American pool with payroll and compliance included | 3.8 | Full comparison |
| BEON.tech | U.S. teams wanting Argentina-based data and ML engineers. | Nearshore recruitment focused on AI and data science roles | 3.8 | Full comparison |
| Simform | Cloud-first companies adding AI and data engineers. | Cloud and data engineering paired with AI/ML from an India-based bench | 3.8 | Full comparison |
| Vention | Venture-backed startups scaling product and AI engineers. | Long record of extending startup engineering teams | 3.8 | Full comparison |
| ScienceSoft | Regulated companies wanting a documented hiring process. | Publishes its staff augmentation timeline and process | 3.7 | Full comparison |
| Mobilunity | Budget-conscious teams hiring one dedicated developer. | Lowest published rate band among the companies reviewed | 3.7 | Full comparison |
| Neoteric | Small GenAI pilots with a low entry cost. | Low $10,000 minimum for AI discovery and proof-of-concept work | 3.7 | Full comparison |
| LeewayHertz | Hackett Group clients adding GenAI developers. | GenAI app development backed by a public consulting parent | 3.6 | Full comparison |
Xenoss FAQ
What is Xenoss?
AdTech-born AI and data engineering firm built around small senior teams
How much does Xenoss charge?
Xenoss uses team extension and project pricing; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Xenoss use?
Xenoss works with Python, Kafka, Spark, ClickHouse, AWS, LangChain. Primary industries served include Media, Retail & e-commerce, Software & SaaS.
Is Xenoss right for enterprise?
AdTech and MarTech firms needing real-time data plus AI. 100–200 team size. Key consideration: No dedicated staff augmentation page.
What are the best Xenoss alternatives?
The best alternatives to Xenoss depend on your use case. Top options are:
- EPAM Systems: thousands of certified genai engineers inside a publicly listed firm with enterprise security and procurement processes
- Turing: an ai-first network whose engineers also do model training and evaluation work for frontier labs
- Tensorway: senior ai engineers run the technical screening, and every model and line of code stays in the client's repositories
Compare Xenoss with other AI Staff Augmentation companies
Xenoss vs EPAM Systems Xenoss vs Turing Xenoss vs Tensorway Xenoss vs BairesDev Xenoss vs deepsense.ai Xenoss vs N-iX Xenoss vs Andela Xenoss vs Toptal Xenoss vs Globant Xenoss vs Azumo Xenoss vs InData Labs Xenoss vs Innowise Xenoss vs Uvik Software Xenoss vs DataArt Xenoss vs Encora Xenoss vs Wizeline Xenoss vs Intellias Xenoss vs Kanerika Xenoss vs Nearsure Xenoss vs nCube Xenoss vs Svitla Systems Xenoss vs STX Next Xenoss vs Howdy.com Xenoss vs Revelo Xenoss vs BEON.tech Xenoss vs Simform Xenoss vs Vention Xenoss vs ScienceSoft Xenoss vs Mobilunity Xenoss vs Neoteric Xenoss vs LeewayHertz
Verify all details directly with Xenoss before making a decision.