Best InData Labs alternatives in 2026

EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with roughly 61,000 employees across delivery centers in Europe, the Americas and Asia. It is a public company listed on the New York Stock Exchange. On its Q2 2026 earnings call, management said EPAM had more than 5,700 Anthropic-certified engineers and was among the five largest certified partners worldwide, with AI-native work making up about 11% of revenue. EPAM employs its engineers directly and sells them as augmented capacity, dedicated teams or managed programs, though most large accounts end up in the managed model.

How it differs from InData Labs: Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, EPAM Systems is better for large enterprises, regulated industries, multi-team AI programs.

Turing was founded in 2018 by Jonathan Siddharth and Vijay Krishnan and is headquartered in Palo Alto, California. It runs a remote talent network of about 4 million profiles in more than 150 countries and screens candidates with its own automated vetting platform. Since 2024 the company has shifted heavily toward AI work: alongside staff augmentation it trains and evaluates models for frontier AI labs, which gives its engineers unusual exposure to LLM post-training and evaluation. Engineers are contractors sourced through the network rather than long-term employees of a delivery center.

How it differs from InData Labs: An AI-first network whose engineers also do model training and evaluation work for frontier labs. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Turing is better for fast access to LLM and ML specialists from a global pool.

Tensorway, founded in 2019 and based in Alicante, Spain, supplies AI engineers who join a client's own team and work inside its Slack, Jira and version control under its coding standards. The firm has more than 20 years of software engineering practice behind its delivery methods. Its central promise concerns ownership: code, documentation and trained models stay in the client's repositories, and knowledge transfer to in-house staff is part of every engagement (per company website; independently unverifiable). Available roles include LLM engineers, RAG specialists, MLOps architects, computer-vision and NLP engineers, with teams usually starting as a squad of two to five. In one published case, a U.S. trading platform serving more than 100,000 investors reports 40% faster market-data processing and 35% lower operating costs (per company website; independently unverifiable).

How it differs from InData Labs: Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Tensorway is better for product teams adding senior AI specialists without vendor lock-in.

BairesDev was founded in Buenos Aires in 2009 and now lists its headquarters in San Francisco. The company says it employs more than 4,000 professionals working remotely from over 50 countries, most of them in Latin America. It offers staff augmentation, dedicated teams and full software outsourcing, with an AI and data science practice inside the wider engineering group. BairesDev hires engineers onto its own payroll, so clients deal with one vendor contract rather than individual freelancers.

How it differs from InData Labs: A large salaried Latin American bench that works U.S. time zones. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, BairesDev is better for U.S. companies needing several AI engineers on matching hours.

deepsense.ai was founded in 2014, grew out of the AI division of CodiLime, and is headquartered in Warsaw with an office in Palo Alto. Third-party directories put its headcount between roughly 100 and 200 people, and the company says it employs more than 120 AI experts, including Kaggle competition winners and PhD holders. Besides project work in generative AI, MLOps, computer vision and edge AI, it runs a dedicated AI staff augmentation service in which its own engineers extend a client's team.

How it differs from InData Labs: A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, deepsense.ai is better for research-heavy ML problems, computer vision, edge AI.

N-iX began in Lviv in 2002 as Novellix, a startup building Linux applications for Novell, and is still headquartered there. The company reports more than 2,000 professionals across Ukrainian hubs and offices elsewhere in Europe and Latin America. Machine learning, data analytics and cloud sit among its main practices, and clients can extend their teams with N-iX engineers or hand over a full project. It is an employer-based firm, not a marketplace.

How it differs from InData Labs: Data engineering and ML from a 2,000-person European employer with two decades of delivery history. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, N-iX is better for data-heavy AI work needing a large European team.

Andela was founded in 2014 with a focus on African software talent and is now headquartered in New York. It operates as a talent marketplace across more than 135 countries and says its network includes 17,000 certified AI-native engineers (per company website; independently unverifiable). The company sells blended teams of placed engineers, AI system development and training services. CEO Carrol Chang has led the company since September 2024.

How it differs from InData Labs: A marketplace that certifies engineers on AI skills before placement. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Andela is better for enterprises building blended global teams with AI skills.

Toptal was founded in 2010 and lists a San Francisco address, though it operates as a fully remote company. It is a freelance marketplace that says it accepts only the top 3% of applicants into a network of more than 20,000 professionals across engineering, design and finance. Clutch lists an average rate of $100 to $149 per hour and a typical project minimum of $50,000. Toptal matches individual contractors and does not employ the engineers it places.

How it differs from InData Labs: A heavily screened freelance pool that can supply one senior expert quickly. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Toptal is better for short engagements with one senior AI specialist.

Globant was founded in Buenos Aires in 2003 and is now headquartered in Luxembourg. The NYSE-listed company reported 28,773 employees at the end of 2025. In 2025 it launched AI Pods, a monthly subscription for AI-assisted engineering capacity metered by tokens. Third-party reviews say classic staff augmentation runs mainly through Belatrix, a firm Globant acquired, while large accounts usually buy managed pods or statements of work.

How it differs from InData Labs: Subscription-based AI Pods as an alternative to per-engineer billing. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Globant is better for enterprises wanting AI capacity on a subscription model.

Azumo is headquartered in San Francisco and has built AI-driven applications since 2016, with most of its engineers in Latin America. Directory headcounts range from under 100 to several hundred people. It offers staff augmentation, dedicated teams and full product outsourcing, and it also maintains its own AI products, including an NLU toolkit. Named clients include Meta and UnitedHealth (per company website; independently unverifiable).

How it differs from InData Labs: A nearshore team that also builds its own NLP products. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Azumo is better for nearshore LLM and NLP builds for U.S. mid-market.

Innowise traces its roots to a university startup and was formally established in 2007. It is headquartered in Warsaw and says it employs more than 3,500 in-house IT professionals (per company website; independently unverifiable). AI and machine learning are offered alongside a wide catalog of web, mobile and enterprise services. Staff augmentation is one of its listed delivery models, with engineers employed by Innowise rather than sourced freelance.

How it differs from InData Labs: A large in-house bench that can staff AI and conventional engineering roles together. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Innowise is better for companies needing AI engineers plus surrounding app developers.

Uvik Software was founded in 2015 and is headquartered in Tallinn, Estonia, with a commercial office in Ipswich, UK. It places senior Python developers, data engineers and AI/ML specialists with product teams in the U.S., UK and EU, and says about 40% of current engagements involve AI, ML or data infrastructure (per company website; independently unverifiable). Unusually for this list, it publishes a starting rate band and contract terms.

How it differs from InData Labs: Published rate band, minimum term and replacement guarantee. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Uvik Software is better for python-heavy AI teams wanting transparent pricing.

DataArt was founded in New York in 1997 by Eugene Goland, who still leads it. Reported headcount ranges from about 4,000 to more than 6,000 across 30 to 40 locations. The firm builds data, analytics and AI platforms and works heavily in finance, healthcare and travel. Clients can bring in DataArt engineers as part of their own team or contract a full delivery team.

How it differs from InData Labs: Nearly three decades of domain work in finance, healthcare and travel. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, DataArt is better for finance and healthcare firms extending data and AI teams.

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.

How it differs from InData Labs: Large Mexican and Latin American delivery base with an AI engineering practice. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Encora is better for U.S. firms wanting nearshore AI teams from a large provider.

Wizeline is headquartered in San Francisco and was founded in 2013 or 2014, depending on the source. Its largest workforce is in Mexico, where about 900 people work and the Guadalajara office acts as the main delivery center. Directories put total headcount above 1,500. The company offers staff augmentation alongside studio and project models, and its new leadership has said AI services grew sharply after it hired a chief AI officer.

How it differs from InData Labs: A Guadalajara delivery base close to U.S. clients in time and travel. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Wizeline is better for U.S. companies wanting Mexico-based AI engineers.

Intellias was founded in Lviv in 2002 by Vitaliy Sedler and Mykhailo Puzrakov and has grown past 1,000 employees, with Horizon Capital among its investors. It describes itself as an AI-enabled product engineering partner and works heavily in automotive, location technology, fintech and telecom. Clients can extend their teams with Intellias engineers, although much of its business is managed delivery.

How it differs from InData Labs: Domain depth in automotive and mapping software. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Intellias is better for automotive and location-tech teams adding ML engineers.

Kanerika was founded in 2015 and is based in Austin, Texas, with offices in India, Argentina and Singapore. Directories list 250 to 500 employees. Its staff augmentation service supplies AI engineers, data engineers and platform specialists for Microsoft Fabric, Databricks and Snowflake, either as single specialists or extended teams. The company's own blog ranks it first for data and AI staff augmentation, which should be read as self-promotion.

How it differs from InData Labs: Platform specialists for Fabric, Databricks and Snowflake. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Kanerika is better for microsoft Fabric and Databricks shops needing AI-ready data.

Nearsure started operations in 2018 under co-founder and CEO Giuliana Corbo and is described by Bloomberg as a Uruguayan IT services company, though it is incorporated in the United States. Bloomberg reported a 2024 plan to grow to about 850 staff. Remote staff augmentation for U.S. clients is its core business, and the service list has widened to generative AI, cloud migration and Salesforce work through a Data & AI studio.

How it differs from InData Labs: Augmentation-first business model with a growing AI studio. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Nearsure is better for U.S. teams adding Latin American GenAI developers.

nCube was founded in 2008 and is registered in London, with its core R&D office in Kyiv and development offices in Warsaw and São Paulo. It builds dedicated teams and nearshore R&D centers, handling hiring, payroll, legal and HR for the client. The company says it can show first AI candidate profiles within 48 hours and build a team in two to six weeks, drawing on a pool of more than 50,000 AI, ML and data specialists (per company website; independently unverifiable). Named AI clients include Veritone and Fetch.ai.

How it differs from InData Labs: Builds and runs a client-branded R&D team, including HR and office setup. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, nCube is better for companies building a long-term offshore AI team.

Svitla Systems was founded in 2003 and is headquartered in Corte Madera, California. It reports a team of more than 1,000 consultants and engineers, mostly in Eastern Europe and Latin America. AI and machine learning sit alongside big data, DevOps and IoT in its service list, and Clutch reviewers frequently describe it as a team-augmentation partner. One reviewer noted difficulty in its vetting of senior engineers.

How it differs from InData Labs: Two decades of team-extension relationships with U.S. clients. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Svitla Systems is better for long-running team extension with mixed AI and app roles.

STX Next was founded in Poznań in March 2005 and built its reputation as one of Europe's largest Python software houses. Its 2025 anniversary release cites about 500 staff and more than 1,000 delivered projects, with delivery centers in Poland and Mexico. The firm now presents itself as a data and AI consultancy, and Python's dominance in ML makes its bench a natural fit for model and data work.

How it differs from InData Labs: Python specialization applied to data and AI delivery. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, STX Next is better for python codebases adding LLM and data engineers.

Howdy.com was founded in Austin, Texas, in 2018 to connect Latin American engineers with U.S. companies, and it acquired the Brazilian talent marketplace GeekHunter to expand its pool. Engineers work full time for one client while Howdy handles employment, benefits and equipment. The company now markets itself around AI-capable engineers, and pricing is quoted per engagement rather than published.

How it differs from InData Labs: Full-time, single-client placements with employment handled by Howdy. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Howdy.com is better for U.S. startups hiring full-time Latin American AI engineers.

Revelo was founded in late 2014 in Brazil (some sources say 2015) and began as a domestic hiring platform called Contratado. It now runs a network of more than 400,000 Latin American developers and handles hiring and payment for U.S. customers. TechCrunch reported that work on foundation models made up 22% of Revelo's revenue in 2024. Revelo is a marketplace, so engineers are matched through its platform rather than employed in a delivery center.

How it differs from InData Labs: A very large Latin American pool with payroll and compliance included. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Revelo is better for hiring Latin American developers through a marketplace.

BEON.tech was co-founded in 2018 by Damian Wasserman and is based in Buenos Aires, Argentina. It positions itself as a nearshore partner specializing in AI and data science and says it recruits from a network of more than 54,000 vetted professionals across Latin America (per company website; independently unverifiable). It reports more than 100 client partnerships. Its own headcount is not published.

How it differs from InData Labs: Nearshore recruitment focused on AI and data science roles. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, BEON.tech is better for U.S. teams wanting Argentina-based data and ML engineers.

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.

How it differs from InData Labs: Real-time, high-load data engineering from AdTech roots. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Xenoss is better for AdTech and MarTech firms needing real-time data plus AI.

Simform was founded in 2010 and lists its primary location in Orlando, Florida, with a large delivery center in Ahmedabad, India. Clutch places it in the 1,000 to 9,999 employee range. Its positioning centers on cloud, data, AI/ML and experience engineering, and Clutch reviewers describe staff augmentation engagements covering DevOps, frontend and backend roles.

How it differs from InData Labs: Cloud and data engineering paired with AI/ML from an India-based bench. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Simform is better for cloud-first companies adding AI and data engineers.

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.

How it differs from InData Labs: Long record of extending startup engineering teams. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Vention is better for venture-backed startups scaling product and AI engineers.

ScienceSoft dates its IT work to 1989 and is headquartered in McKinney, Texas. It says its staff augmentation pool covers more than 750 professionals, including data scientists with long industry experience, and it publishes a fast hiring sequence: CVs with rates within a day, interviews in two to four days and starts in one to two weeks (per company website; independently unverifiable). AI is one of many service areas alongside its long-standing healthcare and finance work.

How it differs from InData Labs: Publishes its staff augmentation timeline and process. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, ScienceSoft is better for regulated companies wanting a documented hiring process.

Mobilunity was founded in 2010 and is headquartered in Kyiv, Ukraine. It provides dedicated development teams and part-time consulting from a pool its Clutch profile describes as more than 200,000 Ukrainian specialists. Third-party directories list an average rate of $25 to $49 per hour, and Clutch reviewers describe typical projects of about $10,000 to $50,000. It has no separately advertised AI practice, so AI hires are recruited case by case.

How it differs from InData Labs: Lowest published rate band among the companies reviewed. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Mobilunity is better for budget-conscious teams hiring one dedicated developer.

Neoteric was founded in 2005 and is based in Gdańsk, Poland, with 50 to 249 employees according to Clutch. Clutch lists a $10,000 project minimum and a $50 to $99 hourly rate. Its AI work includes generative AI, proof-of-concept builds and discovery workshops, and reviewers describe it working as an extension of the client's team. One reviewer criticized the depth of its AI consulting.

How it differs from InData Labs: Low $10,000 minimum for AI discovery and proof-of-concept work. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, Neoteric is better for small GenAI pilots with a low entry cost.

LeewayHertz was founded in 2007 and lists a San Francisco address, with much of its staff in India. Headcount estimates range from roughly 60 to 500. The Hackett Group acquired it in September 2024 for $7.8 million in purchase consideration, according to Hackett's SEC filings, and the two set up a joint venture called ZBrain XPLR. Its main business is building GenAI applications, and it hires out engineers as a secondary service.

How it differs from InData Labs: GenAI app development backed by a public consulting parent. While InData Labs excels at a data-science-only firm small enough that senior staff stay involved, LeewayHertz is better for hackett Group clients adding GenAI developers.