InData Labs

Profile set up by Edverise AI

Set Up By Edverise AI

Edverise AI built this profile by analyzing thousands of data points across the web. If you own this business, become an Edverise partner to manage and update your profile.

Become an Edverise Partner

Overview

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

50 - 249

Employees

2014

Year Founded

ABOUT INDATA LABS

Your Data Science & AI Business Partner

About us: InData Labs is a prominent data science company and an AI-driven solution provider. Our mission is to harness the capabilities of AI for businesses of all sizes to drive growth. We assist organizations, from startups to large corporations, in developing smart products and services and optimizing their business processes. Clients rely on us to transform intricate data challenges into tangible business results. Overview of our services: Our AI and Big Data solutions, along with our consulting services, empower clients to derive meaningful insights from their data, automate mundane tasks, improve performance, incorporate AI features, and avoid budget overruns. The excellence of our work is backed by our operational approach: we utilize proprietary technologies, offer outstanding customer support, consistently invest in talent development, and have our own R&D center. Since 2014, we’ve successfully completed over 150 projects across various industries worldwide, establishing ourselves as experts in the field.

Tech Stack

HadoopMicrosoft BITableauMongoDB

Languages Spoken

EnglishSpanishArabic

HIGHLIGHTS

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

50 - 249

Employees

2014

Year Founded

Services

Focus

Industries

Clients

Services Provided

30% Generative AI

40% AI Strategy & Roadmap Consulting

30% BI & Big Data Consulting & SI

About the Team

OUR STORY

Our Journey Established in 2014, InData Labs is comprised of over 100 data scientists, machine learning engineers, and AI researchers, all dedicated to transforming AI into a valuable asset for real businesses. We blend extensive technical knowledge with a consultative mindset, thoroughly understanding each client's unique situation before beginning any coding. Our internal research and development center ensures we stay at the forefront of the industry, and our flat organizational structure guarantees that experienced professionals are actively involved in your project.

Portfolio

AI Sales Agent: Lead Scoring & 24/7 Support

Unknown

InData Labs developed a comprehensive AI solution featuring multiple agents to streamline sales operations and offer 24/7 personalized assistance to website visitors. This solution goes beyond a basic chatbot; it includes a range of AI analytical agents that leverage visitor data such as company details, industry, and location to perform real-time lead scoring, customize responses with relevant case studies and service links, and automatically generate qualified leads in CRM (Pipedrive). The assistant is capable of handling both quick and complex inquiries, scheduling calls with sales representatives based on visitor location, and autonomously managing the entire top-of-funnel workflow. The platform has demonstrated a significant impact throughout the sales pipeline. For the full case study, visit: https://indatalabs.com/resources/ai-agent-use-case.

LLM Analytics: Jira Workflow Bottleneck Detection

Unknown

A U.S.-based product development firm overseeing eight cross-functional teams across three time zones was experiencing a decline in sprint velocity of approximately 12% each quarter. The underlying issues were hidden within years of unstructured Jira data — including ticket descriptions, comments, and status histories — and no one had the capacity to analyze it manually. InData Labs utilized GPT-4o and reasoning-enabled large language models (o1-preview), along with Python and pandas, to conduct an in-depth analysis of three years' worth of Jira data. The team categorized over 18,000 tickets by issue type, resolution time, complexity, and communication patterns, automatically identifying tasks with missing acceptance criteria, excessive back-and-forth communication, and ambiguous ownership. Within three months, they achieved a 29% reduction in resolution time for complex tasks, a 41% decrease in ticket reopen rates after implementing ownership rules, and a ~40% reduction in clarification requests following the adoption of new ticket guidelines. Managers saved about five hours each week that were previously dedicated to manual backlog reviews, resulting in an estimated annual efficiency gain of $280,000 from decreased rework and delivery delays. For the full case study, visit: https://indatalabs.com/resources/data-analytics-llm

Sales Forecasting Optimization

Unknown

A publicly traded company that manufactures water and fuel systems (including motors, pumps, controls, and electronics) was facing challenges with inaccurate AI sales prediction models. The forecasts were misaligned with true customer demand, leading to operational inefficiencies across various markets, including residential, commercial, industrial, and municipal. InData Labs conducted a series of targeted consulting workshops with the client's internal data and engineering teams, focusing on two main areas: data analysis and machine learning (ML) model assessment. On the data side, the team carried out correlation and distribution analyses, data integrity verifications, dataset segmentation for distinct model training, and sophisticated feature engineering. Regarding the model aspect, InData Labs evaluated the current forecasting framework and provided recommendations related to model selection, target variable scaling (such as price increments versus raw prices), and hyperparameter tuning. The deliverables included a detailed report on feature correlations and dependencies to support future model training, newly constructed and tested ML forecasting models with documented performance metrics, and a report with actionable recommendations to enhance data quality and predictive accuracy. Full Case Study: https://indatalabs.com/resources/sales-prediction-models

20 more projects