Top AI Engineer Staffing Companies

InData Labs

Computer-vision and NLP specialists available as dedicated teams

Founded 2014 | Nicosia, Cyprus | 50–100 employees
computer-visionnlpml-engineersrag-genaiengineer-led-screeningdedicated-teams

What is InData Labs?

InData Labs has worked on data science and AI since 2014 and is registered in Nicosia, Cyprus, with an office in Singapore. Clutch lists dedicated teams and staff augmentation among its core services, next to generative AI, computer vision and predictive analytics, and the company reports more than 150 delivered projects. It is an AWS partner. Directories put the team at roughly 70 to 80 people, all working on AI and data, so the people who interview candidates are practitioners in the same field. Computer vision and natural language processing are where its case studies are strongest.

InData Labs works primarily with clients in Retail, Healthcare, Fintech, Media, Manufacturing sectors. Its primary differentiator is: Ten years of computer-vision and NLP delivery in an AI-only company.

InData Labs tech stack and services

PythonPyTorchTensorFlowOpenCVHugging FaceOpenAIAWSSpark
Service area
Computer Vision Engineers
NLP Engineers
ML Engineers
RAG & GenAI
Engineer-Led Screening
Dedicated Teams

InData Labs pricing

Short answer: InData Labs uses a dedicated team billed monthly; projects from under $50,000 to over $100,000 (clutch); rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.

Engagement model Typical range Best for
Dedicated engineer Variable; depends on team size Large programmes or team augmentation
Dedicated team Variable; depends on team size Large programmes or team augmentation
Project 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
+Computer vision and NLP are core skills, not side offerings -Small, with directory counts between 67 and 80 people
+Every engineer works in AI or data, so candidates are vetted by peers -Sources disagree on the headquarters (Cyprus or Miami)
+AWS partner status helps on SageMaker-heavy projects -No published hourly rate

InData Labs vs alternatives

How InData Labs compares to the other top AI Engineer Staffing companies.

Company Best for Key difference Rating Compare
Tensorway CTOs who want an engineer, not a recruiter,... Senior AI engineers run a code review and a specialization-specific task on every candidate 4.8 Full comparison
deepsense.ai Teams that need a senior ML researcher who... A research-heavy bench of about 120 employed AI specialists with ten years of production work 4.6 Full comparison
Toptal Engineering leads who need one senior freelance ML... Multi-stage screening that ends with interviews by senior engineers and a test project 4.5 Full comparison
Proxify European companies that want a vetted ML or... Senior-engineer interviews with live coding after an automated skills test 4.4 Full comparison
Quantiphi Enterprises that need many AI roles filled at... The biggest AI-only bench here, sold through a named staffing program with AWS 4.3 Full comparison
Neurons Lab Banks and insurers that need agent or LLM... A 500-engineer network managed by a small AI-only core team in London 4.3 Full comparison
Index.dev Startups that want a 30-day refundable trial before... A 30-day trial with full refund on every placement 4.2 Full comparison
Vstorm Teams whose LLM agent prototype needs engineers who... A team that works almost entirely on LLM agents and RAG 4.2 Full comparison
Turing Companies that need many remote ML and data... Automated vetting and matching across the largest developer pool on this page 4.1 Full comparison
Andela Companies building a long-term remote engineering group outside... Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy 4.1 Full comparison
Uvik Software Python-heavy teams that want employed senior engineers rather... A no-freelancer policy with senior Python engineers who average seven years or more 4.1 Full comparison
SciForce Healthcare data teams that need NLP or data... Medical data science experience plus a documented multi-year placement engagement 4.0 Full comparison
Fusemachines Cost-conscious companies that want mid-level ML engineers from... Its own AI education programs feed an employed bench in emerging markets 4.0 Full comparison
Addepto Industrial and automotive companies that need data engineers... Data and ML engineers with industrial and automotive client history 4.0 Full comparison
Folio3 Teams that need an MLOps or computer-vision engineer... Very fast start times with a two-week trial and offshore pricing 3.9 Full comparison
Azumo U.S. teams on a tight budget that need... The lowest published hourly band on this page with full U.S. time-zone overlap 3.9 Full comparison
BairesDev U.S. companies that need ML engineers alongside a... Thousands of Latin American engineers available in U.S. time zones 3.9 Full comparison
N-iX Large companies that want ML and data engineers... Scale and two decades of history in Central European delivery 3.9 Full comparison
Svitla Systems Mid-size companies that want one supplier for ML... Engineers in both Latin American and European time zones from one supplier 3.9 Full comparison
Data Science UA Companies that want to hire Ukrainian ML engineers... A large AI community and conference series that feeds its recruiting 3.8 Full comparison
Tribe AI Leadership teams that want a part-time senior ML... Part-time access to senior ML practitioners from large tech companies 3.8 Full comparison
Strider U.S. startups that want to hire a Latin... Hiring plus retention support for Latin American developers 3.8 Full comparison
Coderio U.S. teams that need a managed nearshore squad... Squads assembled within seven days, with managed delivery as an option 3.8 Full comparison
Qubit Labs Cost-conscious teams that can write a precise brief... Recruiting across several lower-cost Eastern European countries 3.7 Full comparison
micro1 AI teams that need many vetted contributors quickly... Automated AI interviews that screen candidates in high volume 3.7 Full comparison
Mercor AI labs and research teams that need specialist... AI-run interviews and matching built for high-volume expert hiring 3.7 Full comparison
Harnham Companies hiring permanent data or ML staff in... Twenty years of recruiting only in data and analytics 3.7 Full comparison
KORE1 U.S. companies that want a local agency to... A U.S. staffing agency with contract-to-hire terms for AI roles 3.6 Full comparison

InData Labs FAQ

What is InData Labs?

Computer-vision and NLP specialists available as dedicated teams

How much does InData Labs charge?

InData Labs uses dedicated team billed monthly; projects from under $50,000 to over $100,000 (clutch); 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, Hugging Face, OpenAI, AWS, Spark. Primary industries served include Retail, Healthcare, Fintech, Media, Manufacturing.

Is InData Labs right for enterprise?

Product teams that need a computer-vision or NLP engineer with shipped work in that exact area. 50–100 team size. Key consideration: Small, with directory counts between 67 and 80 people.

What are the best InData Labs alternatives?

The best alternatives to InData Labs depend on your use case. Top options are:

  • Tensorway: senior ai engineers run a code review and a specialization-specific task on every candidate
  • deepsense.ai: a research-heavy bench of about 120 employed ai specialists with ten years of production work
  • Toptal: multi-stage screening that ends with interviews by senior engineers and a test project
See full alternatives list

Compare InData Labs with other AI Engineer Staffing companies

Verify all details directly with InData Labs before making a decision.