InData Labs
Cyprus-based AI and data company that offers dedicated ML teams alongside its R&D work
What is InData Labs?
InData Labs was founded in 2014 and is headquartered in Nicosia, Cyprus, with offices in Vilnius and Miami. Its services include AI research and development, generative AI, predictive analytics, computer vision, data engineering, and a dedicated-team or staff-augmentation option. Clutch lists it as a certified AWS partner with 50–249 employees. Clutch reviewers single out its data-science and ML engineering skills.
InData Labs works primarily with clients in Healthcare, Fintech, Retail and e-commerce, Media sectors. Its primary differentiator is: Data scientists and data engineers from one AI-only company.
InData Labs tech stack and services
| Service area |
|---|
| ML Engineers |
| Computer Vision |
| NLP |
| Data Engineering |
| Dedicated Teams |
| Eastern Europe Talent |
InData Labs pricing
Short answer: InData Labs uses a dedicated team; time and materials; project budgets from under $50k per clutch 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 |
InData Labs pros and cons
| Advantages | Things to consider |
|---|---|
| +AI and data are the whole business, so placed engineers come from a specialist bench | -Smaller bench than nearshore generalists |
| +Combines NLP, computer vision and predictive analytics under one contract | -Staff augmentation is a secondary offer next to project work |
| +AWS partnership is useful for SageMaker-based teams | -Limited time-zone overlap with the U.S. West Coast |
| +EU-registered company, which simplifies contracting for European buyers |
InData Labs vs alternatives
How InData Labs compares to the other top AI Staffing agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Product teams adding AI engineers fast, two-week trial. | Engineer-led screening with a free replacement if a hire doesn't fit | 4.8 | Full comparison |
| deepsense.ai | Research-heavy ML problems, senior data scientists. | Research-grade data scientists available as embedded team members | 4.6 | Full comparison |
| BairesDev | U.S. companies needing several engineers in American time... | Largest employed LatAm engineering bench on this list | 4.5 | Full comparison |
| Azumo | Startups adding GenAI engineers on U.S. hours. | Nearshore staffing with a hiring focus on GenAI and agent roles | 4.5 | Full comparison |
| MobiDev | Retail and fitness products, one AI engineer to... | Long AI product record in retail, hospitality and fitness | 4.4 | Full comparison |
| Uvik Software | Python-heavy AI products, quick shortlist. | Python-only bench with published entry-level rates | 4.4 | Full comparison |
| N-iX | Enterprises scaling data and ML teams in Europe. | Formal staff-augmentation model backed by a 2,400-person bench | 4.3 | Full comparison |
| BEON.tech | U.S. scale-ups hiring long-term LatAm AI engineers. | Senior-only LatAm placements with AWS Bedrock experience | 4.3 | Full comparison |
| Xenoss | Ad-tech and high-volume data teams. | Data engineers with ad-tech throughput experience | 4.3 | Full comparison |
| Svitla Systems | Companies wanting both Mexican and Polish delivery options. | Two decades of team augmentation across LatAm and Europe | 4.3 | Full comparison |
| Mobilunity | Budget-conscious teams hiring a dedicated AI developer. | Recruits each hire to your spec at one of the lower rate bands here | 4.2 | Full comparison |
| Vention | Startups and scale-ups wanting CVs within two days. | Fast CV turnaround with a free delivery manager | 4.2 | Full comparison |
| Neoteric | Product teams adding GenAI to an existing app. | Product-minded GenAI engineers with a low published minimum | 4.2 | Full comparison |
| STX Next | Python product teams adding ML capacity. | Large Python bench with documented ML staff-augmentation work | 4.2 | Full comparison |
| 10Clouds | Banks, insurers and fintechs building AI features. | Financial-services AI focus with Claude partner status | 4.1 | Full comparison |
| Howdy.com | Teams that want transparent nearshore pricing. | Published 15% fee on top of the engineer's pay | 4.1 | Full comparison |
| Toptal | Short engagements with a senior freelance specialist. | Fast access to screened freelancers with a no-risk trial | 4.1 | Full comparison |
| Turing | Companies wanting LLM-savvy contractors from a large pool. | Talent cloud tied to frontier-lab LLM training work | 4.1 | Full comparison |
| Simform | Azure-based companies wanting a lower-cost dedicated AI team. | Azure-centered AI engineering at India delivery rates | 4.1 | Full comparison |
| Innowise | Enterprises needing many seats filled within days. | Claimed three-to-five-day placement from an employed bench | 4.1 | Full comparison |
| X-Team | Media and gaming teams adding long-term remote developers. | Developer-community model aimed at long placements | 4.0 | Full comparison |
| Netguru | Consumer brands adding AI to digital products. | Design and product talent alongside AI engineers | 4.0 | Full comparison |
| Intellias | Automotive and mobility companies, embedded AI. | Physical-AI and automotive engineering depth | 4.0 | Full comparison |
| ScienceSoft | Regulated industries hiring experienced data scientists. | Senior data scientists with a published hiring timeline | 4.0 | Full comparison |
| Andela | Distributed teams hiring vetted contractors worldwide. | Assessment tooling strengthened by the 2026 Woven acquisition | 4.0 | Full comparison |
| DataArt | Financial and travel firms needing long-lived dedicated teams. | Dedicated development centers with nearly 30 years of history | 4.0 | Full comparison |
| KORE1 | U.S. companies that want to hire AI engineers... | Direct-hire and contract-to-hire paths for AI roles | 3.9 | Full comparison |
| Revelo | Companies hiring LatAm developers without a local entity. | Payroll and compliance handled for LatAm hires | 3.9 | Full comparison |
| EPAM Systems | Global enterprises with large, compliance-heavy AI programs. | Scale, compliance maturity and vendor certifications | 3.9 | Full comparison |
| Globant | Enterprises open to outcome-priced AI delivery. | Token-subscription pricing in place of seat-based staffing | 3.9 | Full comparison |
| Itransition | Microsoft-stack enterprises adding AI to Dynamics or Power... | AI work tied to the Microsoft business-application stack | 3.9 | Full comparison |
| LeewayHertz | Companies already using The Hackett Group or ZBrain. | GenAI developers tied to the ZBrain platform | 3.8 | Full comparison |
InData Labs FAQ
What is InData Labs?
Cyprus-based AI and data company that offers dedicated ML teams alongside its R&D work
How much does InData Labs charge?
InData Labs uses dedicated team; time and materials; project budgets from under $50k per clutch 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, AWS SageMaker, Apache Spark, OpenCV. Primary industries served include Healthcare, Fintech, Retail and e-commerce, Media.
Is InData Labs right for enterprise?
Data-science-heavy teams, AWS-based ML work. 50–249 team size. Key consideration: Smaller bench than nearshore generalists.
What are the best InData Labs alternatives?
The best alternatives to InData Labs depend on your use case. Top options are:
- Tensorway: engineer-led screening with a free replacement if a hire doesn't fit
- deepsense.ai: research-grade data scientists available as embedded team members
- BairesDev: largest employed latam engineering bench on this list
Compare InData Labs with other AI Staffing agencies
Verify all details directly with InData Labs before making a decision.