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Founded Year

2017

Stage

Series A | Alive

Total Raised

$8.99M

Last Raised

$5.5M | 2 yrs ago

About Kinta AI

Kinta AI helps manufacturers increase their throughput, decrease downtime, and automate the production planning process. It does this by using the user's existing operational data to create a cloud deployed AI production planner, which provides plans and schedules. It offers a SaaS solution which employs deep learning and reinforcement learning to figure out how the user's factory works.

Kinta AI Headquarters Location

77 Geary Street, Floor 5

San Francisco, California, 94108,

United States

914-819-2365

Kinta AI's Product Videos

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Kinta AI's Products & Differentiation

See Kinta AI's products and how their products differentiate from alternatives and competitors

  • AI Production Scheduling Tool

    Kinta is an AI-powered scheduling platform for manufacturers that leverages powerful algorithms to optimize production schedules. Kinta optimally allocates factory resources according to the client’s business objectives. Our solution delivers significant increases in machine, labor and material utilization, improving the client’s unique KPIs.

    Differentiation

    Kinta's algorithms are especially focused on efficiency: creating schedules takes just a few minutes and making changes is equally quick. Kinta is also able to incorporate multiple business objectiv… 

Expert Collections containing Kinta AI

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Kinta AI is included in 3 Expert Collections, including Digital Health.

D

Digital Health

8,838 items

Startups recreating how healthcare is delivered

A

Artificial Intelligence

9,442 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

A

Advanced Manufacturing

3,702 items

Companies focused on the technologies to increase manufacturing productivity, ranging from automation & robotics to AR/VR to factory analytics & AI, plus many more.

Latest Kinta AI News

Discover 5 Top Advanced Planning & Scheduling Solutions impacting Logistics

May 21, 2021

Global Startup Heat Map highlights 5 Top Advanced Planning & Scheduling Solutions out of 249 The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform , covering 2.093.000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks. The Global Startup Heat Map below reveals the distribution of the 249 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 logistics startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 244 advanced planning & scheduling solutions, get in touch. Click to download GoRamp develops a Transportation Management System (TMS) Efficient product transportation and resource allocation allow logistics companies to reduce freight costs and minimize execution errors. By utilizing software for advanced planning and scheduling, supply chain operators maximize transportation speed. Moreover, it increases organizational control and logistics visibility through real-time data collection. Therefore, startups develop TMS software to optimize such processes as freight procurement, dock scheduling, and carrier management. Lithuanian startup GoRamp develops a transportation management system for supply chain optimization. The startup’s solution enables the distribution of freight requests between multiple carriers. The real-time data collection, processing, and distribution allow logistics operators to leverage data-based planning to reduce errors associated with order scheduling and fulfillment. Kinta AI optimizes Production Scheduling Linear logistics planning models usually fail to take into account random events such as sudden demand changes or machine malfunction. This decreases delivery time and increases the number of days products stay in inventory. To mitigate these challenges, startups leverage machine learning (ML) to develop advanced algorithms for accurate supply chain planning and scheduling. US-based startup Kinta AI optimizes operations scheduling for manufacturing and supply chains involving complex production processes. The startup enhances linear programming with reinforcement learning algorithms to take into account events such as unexpected orders, logistics disruptions, and machine downtime. Kinta AI’s scheduling algorithms increase delivery times, as well as decrease product makespan and days spent in inventory. UNIQAI Systems advances AI-Powered Planning Software In logistics, decisions such as choosing plant location, reacting to seasonal demand changes, or applying the most suitable production sequence determine financial outcomes. Decision models allow supply chain companies to utilize previous data and artificial intelligence to minimize the error rate for short- and long-term decision-making. This is why startups develop AI-based software planning solutions that minimize risks and facilitate data-based decision-making. Israeli startup UNIQAI Systems works on AI-powered planning software for industries that require fast and reliable decisions, such as logistics, defense, and healthcare. The startup combines data, ML, and fuzzy logic (FL), as well as planning and optimizing algorithms to decrease planning time, produce alternative decisions, and analyze and predict risks. It allows logistics operators to shorten decision-making processes and derive better planning outcomes. Algo offers Advanced Inventory Analytics Effective inventory planning and management allow companies to reduce storage costs and optimize inventory space. Through incorporating advanced analytics into supply chain management , startups develop planning algorithms to identify stock anomalies and optimize product distribution. Additionally, these analytics solutions increase the accuracy of price and seasonality forecasts. US-based startup Algo develops advanced inventory analytics software for supply chain operations. Insights Studio, the startup’s product, enables product segmentation and anomaly analytics. Another product from Algo, Simulations Studio, provides forecast modeling and optimizing store-keeping unit (SKU)-to-store combinations. Lastly, the Collaboration Studio leverages natural language processing (NLP) to enhance inventory planning and management with a conversational user interface such as a chatbot. Mojro provides Distribution Planning & Scheduling Solutions Consumer demand for faster delivery increases the dynamics of supply chain operations. This puts extra pressure on inventory management and logistics planning & scheduling. Therefore, startups develop solutions that make the distribution of products and raw materials more efficient. Additionally, these solutions give logistics operators real-time insights into inventory and delivery processes, which facilitates route optimization and multi-leg planning. Indian startup Mojro develops a distribution planning and scheduling solution for the fast-moving consumer goods (FMCG) sector. The startup’s Software-as-a-Service (SaaS) platform uses big data and AI to optimize secondary, tertiary, and last-mile delivery planning and scheduling. Mojro’s space and route optimization models a set of predefined and dynamic logistics problems such as operational hours as well as vehicle and entry restrictions to manage them before they occur. Discover more Logistics startups Logistics startups such as the examples highlighted in this report focus on inventory management, on-demand delivery , and supply chain management. While all of these technologies play a major role in advancing the logistics industry, they only represent the tip of the iceberg. To explore more logistics technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Logistics Innovation Report to save your time and improve strategic decision-making.

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  • When was Kinta AI founded?

    Kinta AI was founded in 2017.

  • Where is Kinta AI's headquarters?

    Kinta AI's headquarters is located at 77 Geary Street, Floor 5, San Francisco.

  • What is Kinta AI's latest funding round?

    Kinta AI's latest funding round is Series A.

  • How much did Kinta AI raise?

    Kinta AI raised a total of $8.99M.

  • Who are the investors of Kinta AI?

    Investors of Kinta AI include Lachy Groom, Shine Capital and Plug and Play Ventures.

  • Who are Kinta AI's competitors?

    Competitors of Kinta AI include o9 Solutions and 3 more.

  • What products does Kinta AI offer?

    Kinta AI's products include AI Production Scheduling Tool.

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