Encora
Scottsdale engineering firm with Americas-wide delivery, now owned by Coforge
What is Encora?
Encora was founded in 2005 and is headquartered in Scottsdale, Arizona. It took its current name in 2020 after combining subsidiaries including Nearsoft, and it later absorbed Avantica. The company reports more than 9,500 engineers, designers and domain experts across the Americas, Europe, India and Southeast Asia, with AI and LLM engineering among its service lines. In December 2025 the Indian IT firm Coforge agreed to acquire Encora for about $2.35 billion, and Coforge said in April 2026 that all regulatory clearances had been received.
Encora works primarily with clients in Software & SaaS, Healthcare & life sciences, Financial services, Travel sectors. Its primary differentiator is: Large Mexican and Latin American delivery base with an AI engineering practice.
Encora tech stack and services
| Service area |
|---|
| LLM Engineers |
| Data Engineering |
| Dedicated Teams |
| Nearshore LatAm |
Encora pricing
Short answer: Encora uses a dedicated teams; time and materials; 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 |
| Full-time dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Managed delivery | Variable; depends on team size | Large programmes or team augmentation |
Encora pros and cons
| Advantages | Things to consider |
|---|---|
| +Nearshore delivery from Mexico and Latin America on U.S. hours | -The Coforge acquisition may change account management, pricing and contract terms |
| +Scale to staff several teams at once | -Dedicated teams are the norm, so single-seat placements are less common |
| +AI work is a named service line with its own platform | -AI depth varies by delivery center |
Encora vs alternatives
How Encora 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 |
| 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 |
| 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 |
Encora FAQ
What is Encora?
Scottsdale engineering firm with Americas-wide delivery, now owned by Coforge
How much does Encora charge?
Encora uses dedicated teams; time and materials; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Encora use?
Encora works with Python, OpenAI, AWS, Azure, GCP, Databricks. Primary industries served include Software & SaaS, Healthcare & life sciences, Financial services, Travel.
Is Encora right for enterprise?
U.S. firms wanting nearshore AI teams from a large provider. 9,500+ team size. Key consideration: The Coforge acquisition may change account management, pricing and contract terms.
What are the best Encora alternatives?
The best alternatives to Encora 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 Encora with other AI Staff Augmentation companies
Verify all details directly with Encora before making a decision.