Vention
New York software developer, formerly iTechArt, staffing dedicated teams for startups and scale-ups
What is Vention?
Vention is the name iTechArt Group adopted in a May 2023 global rebrand; the business itself dates to 2002 and is headquartered in New York. It reports more than 3,000 developers across 20+ offices (per company materials; independently unverifiable). Most of its work is dedicated engineering teams for venture-backed companies, and AI integration is one of the skills those teams bring. It's a capacity provider first, so buyers should expect to own the AI architecture themselves.
Vention works primarily with clients in SaaS, Financial services, Healthcare, Media sectors. Its primary differentiator is: Large developer pool for startup and scale-up teams.
Vention tech stack and services
| Service area |
|---|
| LLM API Integration |
| Data Platform Integration |
Vention pricing
Short answer: Vention prices its work as follows: dedicated teams and time & materials; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Monthly team rate; not public | Continuing the build after a pilot |
| Time & materials | Hourly; see pricing model above | Scope that will change as you learn |
Vention pros and cons
| Advantages | Things to consider |
|---|---|
| +Can staff developers quickly from a large pool. | -Rebranded from iTechArt in 2023; older reviews sit under the previous name |
| +Long experience with venture-backed clients. | -Team extension model leaves AI architecture decisions with the client |
| +Offices across several regions. | -Headcount claims vary widely by source |
Vention vs alternatives
How Vention compares to the other top AI Integration Services providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Buyers who want a priced pilot before a... | Fixed-price audit and pilot, with the per-request API cost modeled before rollout | 4.8 | Full comparison |
| Provectus | AWS-centric companies adding generative AI. | AWS Premier Tier status with a gen-AI practice built around Bedrock | 4.6 | Full comparison |
| Slalom | Mid-size and large firms on several platforms at... | Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm | 4.5 | Full comparison |
| Neurons Lab | Banks and insurers piloting AI agents. | AWS Generative AI competency combined with a financial-services client base | 4.5 | Full comparison |
| deepsense.ai | Teams needing RAG and evaluation done properly. | Evaluation frameworks that test model output before it reaches users | 4.5 | Full comparison |
| RTS Labs | U.S. firms needing onshore-only delivery. | All-U.S. engineering team and early MCP integration work | 4.4 | Full comparison |
| Coastal Cloud | Salesforce customers rolling out Agentforce. | Summit-tier Salesforce practice concentrated on Agentforce and Data Cloud | 4.4 | Full comparison |
| Hitachi Solutions | Dynamics 365 shops adding Copilot. | A practice that works only on Microsoft technology, centered on Dynamics 365 | 4.4 | Full comparison |
| Datatonic | Companies whose data already lives in BigQuery. | Google Cloud focus with LLMOps tooling for monitored production models | 4.3 | Full comparison |
| Quantiphi | Large document-heavy programs on Google Cloud or AWS. | Partner-of-the-year history with both Google Cloud and AWS on AI work | 4.3 | Full comparison |
| Addepto | Manufacturers connecting AI to engineering data. | Integration work with industrial systems such as SCADA, CAD, and PLM | 4.3 | Full comparison |
| Master of Code Global | Support teams adding chat or voice agents. | Dedicated conversation designers working beside the engineers | 4.3 | Full comparison |
| Perficient | Mid-market Salesforce or Microsoft customers. | Agentforce capability expanded through the Kelley Austin acquisition | 4.2 | Full comparison |
| Avanade | Large Microsoft-standardized enterprises. | Microsoft-only scale, with Accenture as majority owner | 4.2 | Full comparison |
| Grid Dynamics | Retailers adding agentic commerce features. | Packaged agentic platforms (GAIN) sitting on top of custom engineering | 4.2 | Full comparison |
| Thoughtworks | Engineering-led teams with strict code standards. | Engineering practice reputation applied to AI-first delivery | 4.2 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade controls. | Risk, audit, and regulatory teams working next to the integrators | 4.1 | Full comparison |
| EPAM Systems | Enterprises with multi-year engineering budgets. | Engineering capacity across Europe, India, and the Americas for long AI programs | 4.1 | Full comparison |
| Globant | Buyers wanting subscription pricing on AI delivery. | AI Pods priced by output or consumption instead of hours | 4.1 | Full comparison |
| InData Labs | Smaller budgets, analytics and document AI. | Predictive analytics depth at mid-band European rates | 4.1 | Full comparison |
| Capgemini | Global firms outsourcing AI-run back-office processes. | Business-process outsourcing combined with agentic AI after the WNS deal | 4.0 | Full comparison |
| Persistent Systems | Cost-conscious enterprises with offshore teams. | Offshore engineering scale with its own gen-AI delivery platform | 4.0 | Full comparison |
| SoftServe | Document AI projects on Google Cloud. | Google Cloud Premier status with Document AI expertise | 4.0 | Full comparison |
| Azumo | U.S. startups wanting nearshore AI engineers. | Latin American engineers working U.S. hours | 4.0 | Full comparison |
| STX Next | Python-heavy product teams. | Python engineering depth applied to AI and data work | 4.0 | Full comparison |
| Miquido | Consumer apps adding AI features. | Product design and mobile skills around the AI work | 3.9 | Full comparison |
| Koombea | Product teams wanting fixed-scope AI sprints. | Story-point-scoped AI Pods in two-week cycles | 3.9 | Full comparison |
| ScienceSoft | Tight budgets needing a small first project. | Lowest published entry point on this list ($5K Clutch minimum) | 3.9 | Full comparison |
| Svitla Systems | Long-term AI team extension. | Dedicated teams split across Latin America and Eastern Europe | 3.9 | Full comparison |
| Coherent Solutions | Product companies needing steady engineering capacity. | Three decades of product engineering with a data and AI practice | 3.9 | Full comparison |
| N-iX | Enterprises connecting AI to SAP data. | SAP, Snowflake, and Palantir partnerships in one engineering firm | 3.9 | Full comparison |
| Itransition | Companies bundling AI with wider IT work. | AI/ML center of excellence within a wide IT services catalog | 3.8 | Full comparison |
| LeewayHertz | Buyers open to a platform-based build. | ZBrain platform for assembling enterprise AI apps | 3.8 | Full comparison |
Vention FAQ
What is Vention?
New York software developer, formerly iTechArt, staffing dedicated teams for startups and scale-ups
How much does Vention charge?
Pricing model: dedicated teams and time & materials; rates on request. 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 AWS Bedrock, Azure OpenAI, Python, Snowflake, Kubernetes. Primary industries served include SaaS, Financial services, Healthcare, Media.
Is Vention right for enterprise?
Best for: funded startups needing AI developers fast. Team size: 3,000+. Key consideration: Rebranded from iTechArt in 2023; older reviews sit under the previous name.
What are the best Vention alternatives?
The best alternatives to Vention depend on your use case. Top options are:
- Tensorway: fixed-price audit and pilot, with the per-request API cost modeled before rollout
- Provectus: AWS Premier Tier status with a gen-AI practice built around Bedrock
- Slalom: partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm
Compare Vention with other AI Integration Services providers
Verify all details directly with Vention before making a decision.