InData Labs
Nicosia data-science consultancy with ML and computer-vision engineers for hire
Founded 2014 | Nicosia, Cyprus | 50–249 employees
ml-engineerscomputer-visionnlpdata-engineeringeastern-europe-talent
What is InData Labs?
InData Labs was founded in 2014 and is headquartered in Nicosia, Cyprus, with additional locations including Vilnius and Miami. Most directories put its headcount below 250 people. The company works only on data science and AI, covering predictive analytics, NLP, computer vision and generative AI, and it supplies engineers to client teams as well as delivering projects.
InData Labs works primarily with clients in Retail & e-commerce, Healthcare & life sciences, Financial services, Media sectors. Its primary differentiator is: A data-science-only firm small enough that senior staff stay involved.
InData Labs tech stack and services
PythonPyTorchTensorFlowOpenCVSparkAWS
| Service area |
|---|
| ML Engineers |
| Computer Vision |
| NLP |
| Data Engineering |
| Eastern Europe Talent |
InData Labs pricing
Short answer: InData Labs uses a time and materials; dedicated engineers; 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 |
| Managed delivery | Variable; depends on team size | Large programmes or team augmentation |
InData Labs does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
InData Labs pros and cons
| Advantages | Things to consider |
|---|---|
| +Data science and AI are its only line of work | -Headcount estimates vary widely, so confirm bench depth for your role |
| +Experience across vision, language and predictive models | -Limited capacity for large multi-team programs |
| +Clients deal with a small firm where senior staff stay close to the work | -Less visible LLM-agent work than some newer specialists |
InData Labs vs alternatives
How InData Labs 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 |
| 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 |
| 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 |
InData Labs FAQ
What is InData Labs?
Nicosia data-science consultancy with ML and computer-vision engineers for hire
How much does InData Labs charge?
InData Labs uses time and materials; dedicated engineers; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does InData Labs use?
InData Labs works with Python, PyTorch, TensorFlow, OpenCV, Spark, AWS. Primary industries served include Retail & e-commerce, Healthcare & life sciences, Financial services, Media.
Is InData Labs right for enterprise?
Mid-sized companies adding data scientists to product teams. 50–249 team size. Key consideration: Headcount estimates vary widely, so confirm bench depth for your role.
What are the best InData Labs alternatives?
The best alternatives to InData Labs 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 InData Labs with other AI Staff Augmentation companies
InData Labs vs EPAM Systems InData Labs vs Turing InData Labs vs Tensorway InData Labs vs BairesDev InData Labs vs deepsense.ai InData Labs vs N-iX InData Labs vs Andela InData Labs vs Toptal InData Labs vs Globant InData Labs vs Azumo InData Labs vs Innowise InData Labs vs Uvik Software InData Labs vs DataArt InData Labs vs Encora InData Labs vs Wizeline InData Labs vs Intellias InData Labs vs Kanerika InData Labs vs Nearsure InData Labs vs nCube InData Labs vs Svitla Systems InData Labs vs STX Next InData Labs vs Howdy.com InData Labs vs Revelo InData Labs vs BEON.tech InData Labs vs Xenoss InData Labs vs Simform InData Labs vs Vention InData Labs vs ScienceSoft InData Labs vs Mobilunity InData Labs vs Neoteric InData Labs vs LeewayHertz
Verify all details directly with InData Labs before making a decision.