AiDash is an AI-first vertical SaaS company on a mission to transform operations, maintenance, and sustainability in industries with geographically distributed assets by using satellites and AI at scale. With access to a continual, near real-time stream of critical data, utilities, energy, mining, and other core industries can make more informed decisions and build optimized long-term plans, all while reducing costs, improving reliability, and achieving sustainability goals. To learn more about how AiDash is helping core industries become more resilient, efficient, and sustainable, visit www.aidash.com.

SE Ventures

Benhamou Global Ventures

National Grid Partners (NGP)

Shell Ventures

G2 Venture Partners

Edison International

Lightrock

AiDash

When a massive storm hit, damaging thousands of poles, a Fortune 500 electric utility was prepared to bounce back, thanks to a little help from above! 🛰️ 

By leveraging satellites and AI, they quickly updated their models to reflect the actual post-storm vegetation landscape. Accurate models allow them to adjust their trim cycles efficiently, facilitating a swift and effective recovery.  

Discover how satellites and AI played a crucial role in helping them achieve their lowest vegetation-caused Customer Interruptions (CI) levels ever: https://lnkd.in/g-gAFBy3

#SatelliteVision | #VegetationAI

Should vegetation management have its own software category? We sure think so. 

Today we're thrilled to announce that our Intelligent Vegetation Management System™ 2.0 is now generally available! This transformative tool brings end-to-end vegetation management workflows, real-time insights, and automation right to your fingertips. 
 
Here’s what Avista Asset Maintenance Manager Heather Webster, PMP had to say: “Our initial work with IVMS 2.0 has allowed us to optimize our VM workflows. We will soon be able to analyze, plan, and execute our work plans from a single platform, which now includes the new field application.”
 
Learn more here: https://lnkd.in/gvC56qfH

#SatelliteVision | #VegetationAI

Meet Pritesh:

Pritesh Jain joined AiDash in December 2020 with 4 years of experience building machine learning models and integrating them into customer-facing products. He has always gravitated towards core research to build new algorithms that solve open problems. Geospatial domains with huge images have several unattempted challenges that have piqued his interest. 
 
When Pritesh joined AiDash, he had the opportunity build AI infrastructure from scratch, as we were a company of only 30 people back then, with just 10 engineers. Soon after he began work, he was assigned to contribute to a new idea, which would go on to become AiDash Intelligent Sustainability Management System™ (ISMS™). 
 
From day one, he was involved in everything from sales conversations to product design, engineering, and data science. He has found it to be a thrilling experience, so far, working on projects from end to end — from our backend servers to customer walkthrough. The recent USPTO approval of our ISMS patent and the several other patents we have pending give Pritesh as well as the rest of Team AiDash an adrenaline boost to our intellectual nerves.
 
What excites Pritesh most about being at AiDash is working on trendy generative AI (genAI) models (like Segment Anything Model) and applying them to satellite images. He also enjoys working on performance engineering to run large AI on huge amounts of data, at scale. What he enjoys most about working at AiDash is the difference we are making in core industries such as utilities, transportation, construction, and water which form the backbone of modern civilization.

#SatelliteVision | #VegetationAI | #employeespotlight

As the world braces for the growing impact of climate change, AI is a vanguard against global challenges. AiDash stands at the forefront, using AI to supercharge disaster response and climate resilience. 

As highlighted by Worth Media Group, our high-resolution satellite imagery and AI technologies are not just mapping risks, but actively preventing disasters like wildfires and streamlining recovery efforts.  

Our solutions help utilities prevent power outages by identifying vegetation risks, and aid in swift post-disaster assessments for quicker relief. Embracing these AI-driven tools is our proactive step towards safeguarding communities and ecosystems against the inevitable challenges of tomorrow. 

Check out the full article to learn more: https://lnkd.in/dSK6wS4f

CRIS: https://lnkd.in/g-87xDma

#ClimateImpactAI | #SatelliteVision

Vegetation management is costly.
 
To the tune of $24.2B per year, globally.
 
From the expense of manual inspections to countless work plan meetings reviewing spreadsheets and handwritten notes, utilities have done their best with available technology.
 
In 2019, AiDash saw the need for a new software category that would optimize vegetation management for utilities — reducing costs of manual inspections, and the need for time-consuming work plan meetings, spreadsheets, and handwritten notes. 
 
And with Satellite-First Intelligent Vegetation Management we delivered – with over 100 utilities of all sizes across the globe now using our software.
 
Today we are proud to announce patent approval for the “System and Method of Intelligent Vegetation Management,” a key milestone that will help us accelerate our already rapid growth.
 
We are proud of our culture of innovation and extend a hearty congratulations to the entire AiDash team, our customers, and our partners. 
 
Abhishek Vinod Singh, Rahul Saxena, Nitin Das 
#satellitevision #vegetationAI 
 
Intelligent Vegetation Management: https://lnkd.in/ghB7aiwh

AiDash is an AI-first vertical SaaS company that uses satellites and AI at scale to transform operations, maintenance, and sustainability in industries with geographically distributed assets. By providing access to near real-time streams of critical data, AiDash enables utilities, energy, transportation, water and wastewater, and other core industries to make informed decisions, optimize long-term plans, reduce costs, improve reliability, and achieve sustainability goals.

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