
AI Startup creating ComputerVision and MachineLearning products, providing VisualAnalytics Platform11-50 Employees
- Early StageStartup in initial stages
Jobs at AINDRA LABS
Our vision is to develop AI based products for a sustainable society. AindraLabs strives to achieve the vision by leveraging AI for mission critical operations in Industrial AI, Smart Cities, Aerospace and Defense. Our CV & ML platform is exposed across sectors with verticalized turnkey technology product offerings to address complex challenges Our VisualAnalytics platform (Drishti) can process images/videos captured from real-life scenarios and identify specific objects-of-interest leveraging our ComputerVision & MachineLearning algorithms. We address the needs of various customers across verticals like Agriculture (Sustainable and Precision Agriculture enabled by Artificial Intelligence - deliver insights and information related to precise and correct amount of inputs like water, fertilizer, pesticides, nutrients etc. at the correct time to the crop for increasing its productivity and maximizing its yields; increase Financial Predictability and Revenue by optimum land utilization, soil analysis and increasing Spacing efficiency of plants for agriculture), Smart City (deriving actionable intelligence from surveillance camera footage regarding security threats, Intrusion Detection, License Plate Recognition, ITMS - Intelligent Traffic Management System, Face-Recognition based employees Attendance, etc), Banking and Security (Identity Fraud prevention thru bio-metrics like facial-verification, KYC, etc), Insurance (Object-detection for automated risk-profiling & insurance premium calculation from property inspection, etc), Forestry (Wood-log counting and wood-volume calculation from images, identify wood-log supplier through a combination of color and shape recognition, etc), Construction (Crack detection, measurement and classification), Aviation (predicting estimated time of arrival of flights using ML) etc. Our predictive analytics capability have automated & reduced the time consumed in inspecting failures to maintain operational readiness of Mfg production line
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