InData Labs
Cyprus-headquartered data science consultancy since 2014
What is InData Labs?
InData Labs traces its founding to 2014 and gaming-industry veteran Marat Karpeko, with headquarters in Cyprus and additional offices reported in Lithuania and the US. Reported staff counts swing between roughly 65 and 200 across different trackers, common for firms mixing core employees with project-based contractors. The firm's practice centers on data science: predictive analytics, natural language processing, computer vision, and large-scale data analytics, positioning it closer to a data-first consultancy than a generative-AI-branded shop.
InData Labs works primarily with clients in Retail & e-commerce, Gaming, Fintech, Healthcare sectors. Its primary differentiator is: Data-science-first heritage that predates the generative AI branding wave.
InData Labs tech stack and services
| Service area |
|---|
| Data Engineering |
| Machine Learning |
| NLP |
| Computer Vision |
InData Labs pricing
Short answer: InData Labs uses a fixed project or dedicated team pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From not disclosed | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
InData Labs pros and cons
| Advantages | Things to consider |
|---|---|
| +Founder's gaming background brings real-time data processing experience to computer vision work. | -Reported team size varies close to 3x across public sources |
| +Cyprus headquarters (EU-based) can simplify GDPR-aligned data handling for European clients. | -Less generative AI and LLM-specific public case work than firms built specifically around that |
| +Predictive analytics and NLP expertise predates the current generative AI wave. | |
| +More than a decade of track record in a narrower, more defensible specialty. |
InData Labs vs alternatives
How InData Labs compares to the other top AI Development firms.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| BlueLabel | Product teams that need AI wrapped in real... | A decade of product design discipline behind every LLM integration it ships | 4.8 | Full comparison |
| Markovate | Founders wanting an AI-only product partner. | AI-exclusive focus since 2015, predating the current generative AI surge | 4.6 | Full comparison |
| Tensorway | Teams that need compliance-certified AI delivery. | Compliance certification (GDPR, HIPAA, ISO 9001, ISO 27001) as standard, not an add-on | 4.5 | Full comparison |
| DataRoot Labs | Startups needing applied ML research on demand. | R&D-oriented engagement style built for startup pace, not enterprise procurement cycles | 4.4 | Full comparison |
| ITRex Group | Enterprises pairing AI with existing data infrastructure work. | Fifteen-plus years combining AI delivery with the data engineering it depends on | 4.3 | Full comparison |
| Valiance Solutions | Government agencies needing explainable decision-support AI. | One of the few AI vendors reviewed here with real government procurement experience | 4.2 | Full comparison |
| BotsCrew | SMBs wanting a dedicated conversational AI partner. | Nine years of conversational AI focus rather than a recently-added service line | 4.2 | Full comparison |
| EPAM Systems | Global enterprises running AI programs at massive scale. | Public-company scale (NYSE: EPAM) with financial transparency few competitors offer | 4.1 | Full comparison |
| Grid Dynamics | Enterprises wanting a publicly-audited AI engineering partner. | Nasdaq listing (GDYN) with quarterly financial disclosure | 4.1 | Full comparison |
| LeewayHertz | Buyers wanting broad AI service coverage in one... | Backed by The Hackett Group's consulting network following its 2024 acquisition | 4.1 | Full comparison |
| Master of Code Global | Enterprises standardizing conversational AI across channels. | Two decades focused specifically on enterprise conversational AI | 4.0 | Full comparison |
| Softermii | Teams needing AI features inside a broader product... | Full-stack product development capability layered with newer AI service lines | 4.0 | Full comparison |
| SoftKraft | Startups on tight budgets needing data-driven MVPs. | Small dedicated team priced for startup budgets rather than enterprise rates | 4.0 | Full comparison |
| N-iX | Enterprises wanting AI paired with cloud and embedded... | 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens | 4.0 | Full comparison |
| Innowise Group | Buyers wanting one vendor across every AI service... | Full-cycle coverage of nearly every AI service category under one 2,000-plus person firm | 4.0 | Full comparison |
| 10Clouds | Product teams wanting AI folded into UX and... | AI treated as one integrated capability inside full product design and development | 4.0 | Full comparison |
| Cleveroad | Startups needing AI features inside a mobile or... | Production-deployment discipline carried over from a decade of mobile and web delivery | 4.0 | Full comparison |
| Accenture | Global enterprises running AI transformation across many business... | 60,000-plus trained generative AI practitioners inside a global consulting organization | 4.0 | Full comparison |
| Sigma Software Group | European enterprises wanting AI from a Nordic engineering... | Nordic headquarters and enterprise scale rare among the firms reviewed here | 3.9 | Full comparison |
| Exadel | Enterprises wanting AI as part of a broader... | Over 25 years of enterprise technology consulting history predating most AI-focused competitors | 3.9 | Full comparison |
| Simform | Enterprises pairing AI with a larger cloud engineering... | 1,400-plus engineers spanning six continents inside one accountable vendor | 3.9 | Full comparison |
| 10Pearls | Enterprises wanting AI bundled with digital transformation work. | Two decades of digital transformation delivery with AI as an established add-on practice | 3.9 | Full comparison |
| DataArt | Enterprises in finance or healthcare needing AI at... | Nearly 30 years of engineering history across 30-plus global delivery locations | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI alongside blockchain or IoT work. | Combines AI with blockchain and IoT engineering under one roof | 3.9 | Full comparison |
| Infosys | Global enterprises needing AI inside a full IT... | One of the world's largest IT services firms with a dedicated London-based consulting arm | 3.9 | Full comparison |
InData Labs FAQ
What is InData Labs?
Cyprus-headquartered data science consultancy since 2014
How much does InData Labs charge?
InData Labs uses fixed project or dedicated team 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, scikit-learn, TensorFlow, Apache Spark, AWS. Primary industries served include Retail & e-commerce, Gaming, Fintech, Healthcare.
Is InData Labs right for enterprise?
Teams needing data science depth before an AI build. 51-200 team size. Key consideration: Reported team size varies close to 3x across public sources.
What are the best InData Labs alternatives?
The best alternatives to InData Labs depend on your use case. Top options are:
- BlueLabel: a decade of product design discipline behind every llm integration it ships
- Markovate: ai-exclusive focus since 2015, predating the current generative ai surge
- Tensorway: compliance certification (gdpr, hipaa, iso 9001, iso 27001) as standard, not an add-on
Compare InData Labs with other AI Development firms
Verify all details directly with InData Labs before making a decision.