# Indata Labs > Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04. - **Business Profile:** https://optimly.ai/brand/indata-labs - **Dataset:** https://optimly.ai/brand/indata-labs.json - **Markdown:** https://optimly.ai/brand/indata-labs/llms.txt - **Official website:** https://indatalabs.com - **Slug:** indata-labs - **Categories:** bpo-outsourcing, consulting, it-services-msps ## Overview - **Tagline:** Utilizes an 'Internal AI Platform Accelerator' for rapid deployment (weeks, not months) of production-ready AI solutions, deep expertise with 80+ engineers (many with MSc in Applied Math & CS), focus on solid architecture, and clients retaining ownership of the final codebase without platform lock-in. Source: Brand's website (https://indatalabs.com) · 2026-10-04 - **Description:** Indata Labs is a professional services firm specializing in AI and Data Science. They design and deliver production-grade systems, from ML pipelines to agentic AI, built on robust architecture. Their services include AI strategy consulting, data science, machine learning, generative AI, AI chatbot development, data engineering, DevOps, and business intelligence, helping businesses automate processes, turn raw data into decisions, understand customers, predict trends, build AI-powered products, and leverage computer vision. Source: Brand's website (https://indatalabs.com) · 2026-10-04 ## Offerings - **Core capabilities:** - AI Strategy Consulting - Data Science Services - Machine Learning Development - Generative AI Solutions - AI Chatbot Development - Data Engineering - DevOps Services - Business Intelligence - Agentic AI - LLM Integration - Data Warehousing - Natural Language Processing (NLP) - Sentiment Analysis - Recommendation Systems - Predictive Analytics - MLOps - Cloud Services - Computer Vision - OCR - Image Recognition - AI Product Development. Source: Brand's website (https://indatalabs.com) · 2026-10-04 - **Pricing:** Project-based consulting fees (inferred from services nature). Source: Brand's website (https://indatalabs.com) · 2026-10-04 ## Audience - **Target industry:** Businesses across various industries (including gaming, logistics, health tech, social media, investment management) that lack the infrastructure and expertise to act on their data, seeking to automate processes, gain insights, and build AI-powered products. Source: Brand's website (https://indatalabs.com) · 2026-10-04 Page last updated 2026-10-17.