From Predictive Analytics to AI-Driven Health: Intel® Liftoff Female Founders Leading AI Innovation

These groundbreaking startup leaders from Intel® Liftoff’s accelerator program are unquestionably at the forefront of AI innovation, making huge progress in deep tech and AI development. From systems that enable effective city planning to powerful predictive analytics that improve machine productivity in manufacturing. Here are the startups set to change their industries and the female founders at their helm.

Meili Technologies: Sam Lee, Founder and CEO

Founder and CEO of Meili Technologies, Samantha Lee, a former researcher at FARLab and a data scientist at AppNexus, leverages her engineering expertise and master’s program insights from Cornell Tech to address a critical issue. Recognizing that there is a four times higher fatality rate when vehicle crashes result from health events, and that a full third of all drivers have pre-existing health conditions, Samantha founded Meili Technologies. 

Meili employs deep learning and computer vision, integrating with existing car sensors, to detect and prevent health emergencies like heart attacks and seizures. The AI-based health emergency detection system proactively communicates with ADAS features, preventing accidents and reducing response time for life-saving care. 

Samantha's mission with Meili is to enhance autonomous and confident travel, particularly for those with pre-existing conditions. Meili offers customizable solutions for fleets, partnering directly or integrating with existing DMS or video telematics providers. Monitoring drivers for health events with in-vehicle cameras, Meili utilizes deep learning and computer vision technologies to detect and intervene when the system detects driver distress and health emergencies. Meili offers customizable solutions to keep drivers safe and mitigate the cost of accidents from health  emergencies. Meili uses existing vehicle sensors, like driver-facing cameras, to detect health emergencies like heart attacks, seizures, and diabetic incidents. It uses the vehicle’s existing ADAS features to prevent crashes and immediately contacts first responders, reducing the time to life-saving care.

HairDays: Tiffany St Bernard, CEO and Founder

Tiffany St Bernard is not just a Biomedical Engineering PhD and Cornell Tech Postdoctoral Fellow, she’s also deeply passionate about leveraging technology for health improvement. Her inspiring startup, HairDays, is a pioneer in AI-driven precision health. Blending AI, healthcare science, and innovation, HairDays stands at the intersection of hair care, AI personalization, and digital health. The transformative product in the making aims to reshape businesses' wellness approaches, emphasizing high-tech, personalized solutions.

Using NLP to generate BI on textual data sitting in large data stores, HairDays  is a digital health platform that addresses hair challenges by utilizing a scientific method to analyze hair and scalp digitally. Led by Tiffany and supported by an expert team, including award-winning professionals in dermatology, trichology, cosmetology, and chemistry, HairDays provides personalized strategies for improved overall health and wellness. The innovative AI, Layla, connects users with brands and health insights, facilitating the discovery of personalized solutions.

HairDays CEO and Cornell Tech Researcher, Dr. Tiffany St. Bernard, experienced significant hair loss during a health battle. Frustrated with ineffective products, she leveraged her biomedical engineering expertise to create a digital health platform addressing hair challenges and guiding users to products tailored for their unique hair profiles.

Neuro XR: Elena Cismigiu, Founder and CEO

Elena Cismigiu, co-founder and director of Neuro XR, specializes in behavioral neuroscience and neuropsychology, merging research, innovative technology, and business practices. She founded Neuro XR to address the challenge of optimizing user sentiment in immersive experiences. The patented heat map platform, rooted in extensive research, uses advanced wearable tech for real-time visual data of user sentiment in virtual environments. 

Creators often overlook user needs in immersive spaces, leading to suboptimal experiences and low profitability. The rise in immersive mediums faces challenges like low user experience and a lack of real-time, market-specific solutions. Existing analytics rely on biased methods, resulting in poor user understanding and low retention. Neuro XR offers a solution—an advanced, patented heat map platform utilizing wearable tech for real-time user sentiment data. Accessible to developers, it enables customization and optimization of virtual spaces based on genuine feedback, merging virtual interaction data with biological sentiment indicators in real time. The goal is an AI-driven, hardware-agnostic system for instant, genuine insights.

Elena is a finalist in the Staffordshire Business Awards and Women In Tech international awards for her contributions to science, tech, innovation, and entrepreneurship. Passionate about commercial neuropsychology and technology, she is exploring new brain scan technology for commercial and research use. Elena is also a disability and chronic illness advocate, championing equal opportunities for disabled talent as a #WorkWithMe employer.

Ponder.io: Doris Lee, CEO and Founder

Doris Lee, a serial founder, CEO, and data scientist, founded Ponder as a pioneering venture focused on delivering enterprise-ready tools for efficient and scalable data experimentation. 

Ponder simplifies data science workflows by providing a fully pandas-native experience within existing data warehouses. With Ponder, users enjoy the benefits of concise and flexible pandas, eliminating the need for lengthy SQL queries and enabling smooth transitions from prototype to production on production-scale data. The platform ensures infrastructure-agnostic operations, allowing code deployment anywhere while maintaining familiarity, scalability, and security.

Ponder bridges the gap between Python data science workflows (Pandas, NumPy) and infrastructure, offering a secure and efficient environment for data science tasks.

Starwit Technologies GmbH: Anett Hübner, Founder and CEO

Anett Hübner founded Starwit Technologies to enhance urban environments through computer vision by creating smarter, more livable cities. Starwit focuses on optimizing public transport with computer vision data integrated into an intelligent traffic simulation system and enhancing traffic planning. This extends its capability in logistics applications much further than existing systems, especially in last-mile delivery scenarios. Starwit offers comprehensive analysis and service integration to maximize the usability and utility of sensor and computer vision data for businesses.

Their flagship tool, ProjectBuilder, allows rapid development and deployment of new systems by initiating projects using streamlined templates and app-specific configurations. It streamlines software stack management, reducing maintenance costs. Utilizing software templates, ProjectBuilder facilitates the creation of new apps, a prime example being their Camera Management tool—a demonstration application displaying connected cameras and their recent images.

Utpatti: Sahitya Parvathaneni, CPO & Co-Founder

Sahitya Parvathanen is co-founder and CPO of Utpatti, a forward thinking startup providing decentralized AI-based predictive analytics tailored for enhancing machine productivity on manufacturing shop floors. 

Utpatti's innovative approach allows manufacturers to share knowledge seamlessly across plants, fostering company-wide innovation without the need for data transfer. The company's feasibility study demonstrated a high accuracy rate of over 90% in predicting impending failures using sensor data and information from just three previous breakdowns per machine type. 

Utpatti's decentralized knowledge-sharing software also optimizes the integrated use of machine data, training models that predict failures and provide actionable resolutions. The result is a 55% reduction in downtime costs, maximized production profitability with 90% equipment uptime, accurate predictions reducing warehouse costs by 30%, and enhanced understanding of machines while retaining 100% data ownership.

These highly driven deeptech Intel® Liftoff members are creating real-world advancements in AI technology and shaping the industry's future. Intel® Liftoff supports founders like these with tailored mentorship, connections to global business and tech leaders, and a direct route to top investors.

If you are a founder who is pushing boundaries at the forefront of innovation, read more about how you can join the Intel® Liftoff program for early stage entrepreneurs here.