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service
Data quality: Editorially Reviewed
Language (LLM / NLP)
Custom model development
Databricks
Data engineering & preparation
AI strategy & roadmap consulting
Managed AI operations
Fraud detection
Implementation Partners
Implementation & integration
Mid-market
Predictive / classical ML
Demand planning
Healthcare & life sciences
Computer vision
Manufacturing
Logistics & supply chain
Capital markets & fintech
Amazon Web Services
Predictive maintenance
Retrieval & semantic search
Medical imaging
Recommendation
Retail & e-commerce
Enterprise

InData Labs

Custom model development

Offered by InData Labs

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Overview

InData Labs is a data science and AI company offering AI strategy and readiness assessments, ML development, generative AI (LLMs, RAG, agents), big data engineering, computer vision, NLP and MLOps. Delivery follows discovery, architecture design, iterative build and ongoing support. The site publishes indicative budgets, from roughly $15,000 to $50,000 for proofs of concept to multi-million enterprise platforms. It lists AWS and Databricks partnerships and an office in Miami, Florida.

Pricing model
On request
Regions served
North America, Europe, Global
Categories
Language (LLM / NLP), Custom model development, Databricks, Data engineering & preparation, AI strategy & roadmap consulting, Managed AI operations, Fraud detection, Implementation Partners, Implementation & integration, Mid-market, Predictive / classical ML, Demand planning, Healthcare & life sciences, Computer vision, Manufacturing, Logistics & supply chain, Capital markets & fintech, Amazon Web Services, Predictive maintenance, Retrieval & semantic search, Medical imaging, Recommendation, Retail & e-commerce, Enterprise
Last updated
7 October 2026
Published
7 October 2026

Use cases

Fraud detection
Recommendation
Demand planning
Predictive maintenance
Medical imaging

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
indatalabs.com
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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