Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover 5 hand-picked startups developing pattern recognition solutions.
Out of 481, the Global Startup Heat Map highlights 5 Top Startups advancing Pattern Recognition Solutions
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-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 481 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 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 476 pattern recognition solutions, get in touch.
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Wobot Intelligence provides Process Compliance Automation
Founding Year: 2017
Location: Foster City, US
Funding: USD 2,5 M
Industries: Food Services, Retail, Manufacturing
Partner with Wobot for Process Compliance Tracking & Event Tagging
US-based startup Wobot Intelligence tracks process compliance using surveillance camera footage. The startup’s AI-powered checklist allows businesses to set up a list of criteria and a standard operating procedure (SOP) that ensures customer satisfaction. The solution uses this checklist to recognize process patterns and procedures to confirm process adherence. It also provides a business intelligence report with insights on process compliance, employee performance, and camera health status, assisting businesses to make critical decisions.
Mindpeak facilitates Tumor Cell Detection
Founding Year: 2018
Location: Hamburg, Germany
Funding: USD 5,2 M
Industries: Healthcare
Innovative with Mindpeak for Rapid Breast Cancer Diagnostics
Mindpeak is a German startup that develops solutions for microscopical and pathological image analysis. The startup’s AI-based platform has a clinical-grade deep learning architecture that detects and quantifies cancer cells accurately. BreastIHC is Mindpeak’s product that detects tumor cell-related patterns in arbitrary images of immunohistochemistry (IHC)-stained breast cancer tissue without manual fine-tuning. This overcomes the challenge of differences in tissues samples from lab to lab due to variations in pre-processing and staining, providing pathologists with a unified platform for reliable cancer diagnostics.
SandStar offers Customer Analytics
Founding Year: 2016
Location: Charlotte, US
Funding: USD 15,6 M
Industries: Retail
Partner with SandStar for Smart Store Analytics
US-based startup SandStar uses computer vision and semantic action recognition to identify patterns in a retail environment. The startup’s analytics solution, Sanstar Smart Store Analytics, connects people-product-place data, considering customers entering a retail store as members of an online store. Its semantic analysis tracks the behaviors of multiple customers in real-time and recognizes their purchasing patterns and movement trajectories, providing decision support for in-store marketing. Besides, the solution is deployable on existing cameras in the store and, in turn, eliminates capital investments.
Boosted.ai enables Investment Pattern Prediction
Founding Year: 2017
Location: Toronto, Canada
Funding: USD 9,5 M
Industries: FinTech
Use this solution for Investment Decision Support
Boosted.ai is a Canadian startup that provides a cloud-based platform to develop investment strategies. The startup’s AI-based platform has a factor timing module that allows portfolio managers (PM) to compare multiple risk factors. This enables PMs to set new strategies when a stock or factor is due to change or shift. The platform also provides the option to create trading models, set portfolio constraints, and run tests that show how the model may perform in real-time, enabling dynamic trading strategies.
RIO Analytics facilitates Industrial Process Optimization
Founding Year: 2016
Location: Rio de Janeiro, Brazil
Funding: undisclosed
Industries: Manufacturing
Innovate with RIO Analytics for Predictive Maintenance
Brazilian startup RIO Analytics develops a digital platform to predict failures, reduce downtime, and increase operational efficiency. Kairos is the startup’s platform that processes sensor data in real-time using machine learning (ML) and deep learning algorithms. The platform analyzes performance indicators and detects patterns that showcase a degradation in machine health and predicts the probability of failure. This allows manufacturing companies to schedule maintenance procedures, minimizing unplanned downtimes.
Discover more Startups
Startups such as the examples highlighted in this report focus on process optimization, financial and customer analytics as well as AI and machine learning. While all of these technologies play a major role in advancing the industry, they only represent the tip of the iceberg. To explore more pattern recognition solutions, simply get in touch to let us look into your areas of interest. For a more general overview, you can download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.
