Vention
New York engineering firm, formerly iTechArt, supplying AI and product engineers
Founded 2002 | New York, New York, USA | 3,000+ employees
ml-engineerscomputer-visiondedicated-teamseastern-europe-talent
What is Vention?
Vention was founded in 2002 and operated as iTechArt Group before rebranding. It is headquartered in New York and says it has more than 3,000 engineers across 20+ offices (per company website; independently unverifiable). Its AI services include chatbots, computer vision and AI consulting, and Clutch reviewers describe it supplying backend, frontend, QA and design staff to client teams, especially at venture-backed startups.
Vention works primarily with clients in Software & SaaS, Financial services, Healthcare & life sciences, Media sectors. Its primary differentiator is: Long record of extending startup engineering teams.
Vention tech stack and services
PythonTensorFlowOpenCVAWSReactNode.js
| Service area |
|---|
| ML Engineers |
| Computer Vision |
| Dedicated Teams |
| Eastern Europe Talent |
Vention pricing
Short answer: Vention uses a time and materials; dedicated teams; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Full-time dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Vention does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Vention pros and cons
| Advantages | Things to consider |
|---|---|
| +Well practiced at scaling startup teams quickly | -AI is a minor share of its work |
| +Can staff product roles around an AI feature | -Rebrand from iTechArt means older reviews appear under a different name |
| +Large bench across many offices | -Rates are not published |
Vention vs alternatives
How Vention 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 |
| Xenoss | AdTech and MarTech firms needing real-time data plus... | Real-time, high-load data engineering from AdTech roots | 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 |
| 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 |
Vention FAQ
What is Vention?
New York engineering firm, formerly iTechArt, supplying AI and product engineers
How much does Vention charge?
Vention uses time and materials; dedicated teams; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Vention use?
Vention works with Python, TensorFlow, OpenCV, AWS, React, Node.js. Primary industries served include Software & SaaS, Financial services, Healthcare & life sciences, Media.
Is Vention right for enterprise?
Venture-backed startups scaling product and AI engineers. 3,000+ team size. Key consideration: AI is a minor share of its work.
What are the best Vention alternatives?
The best alternatives to Vention 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 Vention with other AI Staff Augmentation companies
Vention vs EPAM Systems Vention vs Turing Vention vs Tensorway Vention vs BairesDev Vention vs deepsense.ai Vention vs N-iX Vention vs Andela Vention vs Toptal Vention vs Globant Vention vs Azumo Vention vs InData Labs Vention vs Innowise Vention vs Uvik Software Vention vs DataArt Vention vs Encora Vention vs Wizeline Vention vs Intellias Vention vs Kanerika Vention vs Nearsure Vention vs nCube Vention vs Svitla Systems Vention vs STX Next Vention vs Howdy.com Vention vs Revelo Vention vs BEON.tech Vention vs Xenoss Vention vs Simform Vention vs ScienceSoft Vention vs Mobilunity Vention vs Neoteric Vention vs LeewayHertz
Verify all details directly with Vention before making a decision.