InData Labs
Cyprus-headquartered data science firm building predictive models and LLM features for mid-size clients
Founded 2014 | Nicosia, Cyprus | 50–249 employees
predictive-analyticsllm-api-integrationdocument-processing
What is InData Labs?
InData Labs is a data science and AI company founded in 2014 and headquartered in Nicosia, Cyprus, with offices in Vilnius and Miami. Clutch lists 50–249 employees, and the firm says it has delivered 150+ projects since 2014 (per company website; independently unverifiable). Clutch shows AI development as more than half of its work, followed by BI and big data consulting. Reviewers praise its data science skill and mention slower proposal and planning cycles.
InData Labs works primarily with clients in Retail & e-commerce, Healthcare, Financial services, Logistics sectors. Its primary differentiator is: Data-science-led team that builds predictive models alongside generative features.
InData Labs tech stack and services
PythonAzure OpenAIAWS BedrockApache SparkPower BI
| Service area |
|---|
| Predictive Analytics |
| LLM API Integration |
| Document Processing |
InData Labs pricing
Short answer: Fixed-price and T&M; rates on request. 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 |
| Time & materials | 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 |
|---|---|
| +Long track record in classical data science as well as LLM work | -Reviewers note slower proposals and planning |
| +EU-registered company with Lithuanian delivery | -Limited published integration work inside large CRM or ERP suites |
| +Strong Clutch reviews on technical quality | -Headcount estimates vary widely between directories |
InData Labs vs alternatives
How InData Labs compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
InData Labs FAQ
What is InData Labs?
Cyprus-headquartered data science firm building predictive models and LLM features for mid-size clients
How much does InData Labs charge?
Pricing at InData Labs: Fixed-price and T&M; rates on request. 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, Azure OpenAI, AWS Bedrock, Apache Spark, Power BI. Primary industries served include Retail & e-commerce, Healthcare, Financial services, Logistics.
Is InData Labs right for enterprise?
Mid-size firms needing forecasting and data science. 50–249 team size. Key consideration: Reviewers note slower proposals and planning.
What are the best InData Labs alternatives?
The best alternatives to InData Labs depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare InData Labs with other AI Integration companies
InData Labs vs Tensorway InData Labs vs Provectus InData Labs vs Slalom InData Labs vs Neurons Lab InData Labs vs TTMS InData Labs vs Avanade InData Labs vs deepsense.ai InData Labs vs Addepto InData Labs vs Vstorm InData Labs vs Quantiphi InData Labs vs Grid Dynamics InData Labs vs EPAM Systems InData Labs vs Accenture InData Labs vs Perficient InData Labs vs Azumo InData Labs vs RTS Labs InData Labs vs Thoughtworks InData Labs vs Master of Code Global InData Labs vs Deloitte InData Labs vs IBM Consulting InData Labs vs Globant InData Labs vs N-iX InData Labs vs ScienceSoft InData Labs vs Itransition InData Labs vs Miquido InData Labs vs Markovate InData Labs vs LeewayHertz
Verify all details directly with InData Labs before making a decision.