Lightning AI

Lightning AI

AI development platform for coding and deployment

About Lightning AI

Simplify's Rating
Why Lightning AI is rated
A
Rated A on Competitive Edge
Rated A+ on Growth Potential
Rated B on Rating Differentiation

Industries

AI & Machine Learning

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$108.6M

Headquarters

New York City, New York

Founded

2015

Overview

Lightning AI provides a platform for developing artificial intelligence applications, supporting the entire process from initial idea to final deployment. The platform is accessible through web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs. Users can work in a cloud-based environment that acts like a virtual laptop, offering persistent storage and the ability to scale their projects across multiple nodes. Lightning AI operates on a subscription model, catering to both enterprises and individual developers who need effective tools for AI development. Key features include PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics, which help users optimize and scale their AI models.

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Simplify's Take

What believers are saying

  • Recent $50M funding boosts growth and platform development opportunities.
  • Strategic collaboration with AWS enhances platform performance and enterprise appeal.
  • Thunder compiler speeds up AI model training, reducing costs and time significantly.

What critics are saying

  • High competition from established AI platforms in AWS Marketplace may hinder market penetration.
  • Over-reliance on AWS infrastructure could pose risks if service terms change.
  • Rapid AI development pace may lead to technical debt and resource strain.

What makes Lightning AI unique

  • Lightning AI offers a seamless, browser-based AI development platform with no setup required.
  • The platform supports end-to-end AI lifecycle management, from ideation to deployment.
  • Key features include PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics for model optimization.

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Funding

Total Funding

$108.6M

Above

Industry Average

Funded Over

3 Rounds

Notable Investors:
Late VC funding comparison data is currently unavailable. We're working to provide this information soon!
Late VC Funding Comparison
Coming Soon

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Flexible Paid Time Off

Paid Family Leave

Phone/Internet Stipend

Home Office Stipend

Professional Development Budget

Gym Membership

Mental Health Support

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-2%

2 year growth

-4%
Labiotech
Mar 27th, 2025
12 Ai Drug Discovery Companies You Should Know About

Newsletter Signup - Under Article / In Page"*" indicates required fields Artificial intelligence (AI) has taken the biotech industry by storm, allowing companies to speed up the drug discovery process while also making it more cost-effective. With so many companies in the industry now embracing the technology, we take a look at 12 AI drug discovery companies. The COVID-19 pandemic revealed AI to be an essential tool in helping to find treatments and vaccines with greater speed and precision. Since then, there have been several drug discovery breakthroughs for AI within the biopharma industry, from helping to quickly and efficiently discover a new antibiotic called abaucin to combat a multi-drug resistant bacteria, to fully discovering and designing a drug that has entered clinical trials. Here are 12 AI drug discovery companies currently making great strides with their technology. Anima Biotech Technology: mRNA biology modulators Disease areas: Immunology, oncology and neuroscienceRecent news: Announced promising preclinical data for lead pulmonary fibrosis candidate Anima Biotech’s AI drug discovery technology is built around its mRNA Lightning.AI platform, which images hundreds of cellular pathways in both healthy and diseased cells to train disease-specific AI models, making use of neural networks to help these models distinguish between healthy and diseased cells and identify dysregulated pathways. These pathways are subsequently analyzed to uncover novel targets backed by experimental validation. Anima currently has 20 preclinical candidates being evaluated for immunology, oncology, and neuroscience indications, with its most advanced candidate indicated for the treatment of lung fibrosis. The company announced in February 2024 that this candidate had shown promising preclinical results and could open up new avenues for treating patients with idiopathic pulmonary fibrosis. The AI drug discovery company also has ongoing collaborations with several pharma giants. After initially partnering with Eli Lilly in 2018 and Takeda in 2021, its most recent partnership was formed with AbbVie in 2023 for the discovery and development of mRNA biology modulators against oncology and immunology targets. Atomwise Technology: TYK2 inhibitor  Disease area: Autoimmune and autoinflammatory diseasesRecent news: Published results showcasing AtomNet’s ability for drug discoveryAtomwise is leveraging the power of AI in an attempt to revolutionize small molecule drug discovery

Pulse 2.0
Nov 21st, 2024
Lightning AI Secures $50M for Growth

Lightning AI, creator of the PyTorch Lightning framework, secured $50 million in funding from Cisco Investments, J.P. Morgan, K5 Global, and NVIDIA, totaling $103 million. With 240,000 users across 2,000 organizations, Lightning AI offers cloud-based development environments that simplify AI development. The platform integrates with popular ML tools and provides flexible pricing, including a free tier. It helps enterprises reduce infrastructure setup time and streamline AI deployment.

Business Wire
May 9th, 2024
Lightning Ai Launches Its Studio Platform In Aws Marketplace

NEW YORK--(BUSINESS WIRE)--Lightning AI, the company behind PyTorch Lightning, with over 100 million downloads, announced today that its all-in-one, web-based AI development platform Lightning AI Studio is now available in AWS Marketplace, a digital catalog with thousands of software listings. AWS Marketplace offers a seamless way to leverage pre-approved budgets and increase business performance through a single view across customers’ IT spend, simplifying procurement processes with flexible options like private pricing and consolidated billing through AWS. Studio, an enterprise-grade suite of tools, fundamentally re-architects how developers work by abstracting away every non-core activity and providing a single interface for all AI development needs. Users can:jumpstart the development of AI products with pre-built templates,scale from CPU to GPU to multi-node, distributed large-scale processing across as many machines as they need at the click of a button, andleverage natively integrated tools or build their own and deploy anywhere, among many other features.Studio also offers seamless integration with the Lightning open source stack that includes PyTorch Lightning, and allows developers to train, fine tune, deploy the latest generative AI models across multiple GPUs at maximum efficiency. “Lightning AI Studio is the most advanced all-in-one platform to build, train, and deploy any AI model on your data, in your Cloud or data center, with all the tools you love,” said William Falcon, founder and CEO of Lightning AI. “By accessing Studio in AWS Marketplace, customers will realize greater productivity and faster development times for their AI apps.”

EnterpriseAI
Mar 28th, 2024
Lightning AI Today Announces 'Thunder' to Speed Up AI Model Training

Lightning AI today announced the availability of Thunder, which it hails as a new and powerful source-to-source compiler for PyTorch.

Business Wire
Mar 28th, 2024
Lightning Ai Announces Availability Of Thunder; A Powerful Source-To-Source Compiler For Pytorch That Speeds Up Training And Serving Generative Ai Models Across Multiple Gpus, Built With Support From Nvidia

NEW YORK--(BUSINESS WIRE)--Following the company’s presentation at the NVIDIA GTC AI conference, Lightning AI, the company behind PyTorch Lightning, which has over 100 million downloads, today announced the availability of Thunder, a new and powerful source-to-source compiler for PyTorch designed for training and serving the latest generative AI models across multiple GPUs at maximum efficiency. Thunder is the culmination of two years of research on the next generation of deep learning compilers, built with support from NVIDIA. Large model training can cost billions of dollars today because of the number of GPUs and the length of time it takes to train these models. Lack of high-performance optimization and profiling tools puts this scale of training out of reach for developers who don’t have the resources of a large technology company. Even at its early stage, Thunder achieves up to a 40% speed-up for training large LLMs, compared to unoptimized code in real-world scenarios. These speed-ups save weeks of training and lower training costs proportionally

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