"AI-Driven Advancements in Battery Management Systems"
General Lithium revolutionizes the energy sector with AI-driven battery management. Our unique approach harnesses existing hardware to deliver secure, real-time optimization. Imagine batteries that last longer and perform better, all through the power of machine learning. We're not just improving efficiency; we're setting new standards for sustainability and reliability in battery technology.
General Lithium aims to transform energy with AI for longer-lasting, efficient batteries, setting new standards in sustainability and reliability using existing hardware.
Battery manufacturers, electric bike manufacturers and retailers, EV manufacturers and retailers, and electric vehicle hobbyists.
General Lithium's AI solution addresses battery degradation and inconsistent performance, enhancing longevity and efficiency. It assists manufacturers in producing durable products while offering consumers optimized energy use and reduced maintenance.
...battery lifespan and reliability are critical for the growing demand in electric mobility and renewable energy storage, driving the need for advanced management systems.
Our AI-based solution offers predictive analysis to mitigate battery degradation and optimize performance, resulting in increased longevity of batteries and energy-efficient utilization. This not only helps manufacturers in creating long-lasting products but also ensures minimal maintenance for end-users.
AI & Machine Learning, Cloud Computing, IoT, Big Data Analytics.
At General Lithium, we use the BD6A20S12P BMS and Coral USB Accelerator to boost battery performance via efficient AI and machine learning.
Our customers enjoy greater battery longevity, boosted device performance, cost savings on maintenance, and contribute to a sustainable future.
We estimate the market size for which our solution is designed in monetary terms as follows
Is our goal in the next 3 years
My key role is Chief Strategy Officer / Chief Information Officer, and I'm responsible for developing strategic plans and overseeing tech-based decisions.
Our team includes CEO Anna Hollingsworth, an experienced startup advisor, CTO Justin Zelaya, a prolific inventor and engineer, and marketing leader Stone Thomas.
Our key competitors include General Lithium, Coulomb.ai and MonolithAI.com. These companies also offer AI-driven solutions for optimizing battery systems' performance, efficiency and lifespan across various applications.
General Lithium excels with real-time hardware integration for ML-driven battery optimization. Our cost-effective approach enhances sustainability using existing infrastructure, making us a first choice for applications like electric vehicles and renewable energy storage.
General Lithium earns through sales of AI-enhanced BMS products, high-output batteries, and battery repair services. Clients pay for improved battery performance, longevity solutions, and maintenance.
Over the last six months, our technologically advanced batteries have empowered eOnyx, Sur-Ron and Zero Motorcycles, enhancing battery lifespan by 30% and efficiency by 20%. Consequently uplifting customer experience whilst reducing their carbon footprint.
Our company is poised for self-sustenance and growth, uniquely qualified to secure government/federal grants and contracts - an area where our co-founders have a successful track record.
Our startup is witnessing a positive trend in product metrics with noticeable growth in sales. Concurrently, we're also experiencing an upsurge in our monthly active user numbers, signifying enhanced customer engagement and satisfaction.
Our company incorporated in
Delaware
The main risks of my startup could be technological constraints, unpredictability in AI learning outcomes, dependency on manufacturers' adoption rate for innovative technology. Also market acceptance among end-users and potential regulatory issues can pose significant risks.
$
4000
We raised investments
No investors other than cofounders
$
1000000
Currently, we are raising investments
$
500000
Estimated pre-investment valuation of the company
