Letter AI is the world's first generative AI powered revenue acceleration platform. Build and maintain all the collateral and training you need 10x faster with generative AI. Personalize instantly by vertical or individual customers using existing data. Ask questions in real-time to your own co-pilot with expertise in your data. Scale coaching with realistic and hyper-personalized AI roleplay. Reach out to learn more about how both large enterprise like Lenovo and Adobe and growing startups like Paro and DealerBuilt are delivering real value for their revenue teams using the Letter AI platform.
Levers is an accounts receivable management SaaS that helps B2B companies reduce overdue payments, accelerate cash collection, and boost cashflow. Our software integrates with your accounting system and streamlines your AR process using personalized reminders, cross-team collaboration tools, collection performance analytics, and more.
Leviathan is an AI encyclopedia.
At Lexi, we are building AI associates for Corporate Law. Our associates learn your firm's standards and improve with every case, having already handled 135,000+ documents across 7,000+ cases.
We turn existing store security cameras into an AI system that catches shoplifting in real time and alerts staff before thieves leave.
Lexter is the first legal LLM company in Brazil, already working with 3 out of the top 5 law firms in the Country
At Librar Labs we are building the next generation of intelligence layer for the physical world. Our first commercial product Librar makes it easy to set up and manage a library with or without a librarian. Fastest growing library tech company in the world.
LifeAt is your space to focus and complete tasks. Our mission is to help the 100M+ knowledge workers get into their flow state with video content and task management. Our customers get through their daily tasks twice as fast while feeling great at the end of the day! Well funded by Meta (Facebook), Line, Y Combinator, Goodwater, and other top VCs. Loved by over 1M+ users across the world and shared by over 500K+ followers across Tiktok/Instagram/Twitter. Come shape the future of focus and productivity!
We make tools for state-of-the-art 3D VR video, which fix motion sickness for a more comfortable and immersive experience. Our team's experience includes building VR cameras at Facebook, and robot perception systems at Lyft and Google X.
LifestyleRx delivers insurance-covered virtual care for Type 2 Diabetes reversal. Our doctors guide patients through lifestyle changes to reverse the underlying process of diabetes.
We build brains for robots. We work with manufacturers like Unitree to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved. Robots running Lightberry are emotionally intelligent, always on, and fully autonomous. Just like in Star Wars!
Our mission is to give small businesses an AI Graphic Designer to help them create a brand and identity without having to pay 💰💰💰 of dollars hire someone.
Lighthouz is a backoffice AI solution for freight brokers, to automate AP, AR, and Collections. Leading freight brokers are using Lighthouz AI to automate FTL (full truckload) and LTL (less than truckload) freight bill auditing, automatically filing disputes, and invoicing customers. With Lighthouz, 70%-85% emails do not need to be touched by humans. Hence, brokers using Lighthouz are invoicing customers 36% faster, getting paid 5 days sooner, and reducing back office costs by 40%. Lighthouz brings 25+ years of supply chain, logistics, and AI experience to brokers, with a AI Professor from Georgia Tech who taught 1000+ students, and team with PhD and MS in AI, Machine Learning, and Data Science.
Lightmeter is turn-key email outreach infrastructure for startups, combining network, platform, and expert advice. It integrates with sales tools like Apollo, replacing Google and Microsoft for email delivery. No change in tooling or workflow required. Lightmeter gets mail into inboxes, scalably and sustainably, while transparently reporting on performance. Plans from 50 to 7,500 outreach emails per day.
Lightscreen’s voice + video AI interviewer enables companies to identify and invest in genuinely skilled candidates. It's already being used by high-growth startups and recruiting agencies to screen technical candidates. We provide companies with a voicebot that can run a full-length technical interview, does smart interruptions, and multi-modal cheating detection. The AI provides the company rubric-based, rich candidate evaluation in minutes and can be fully customized to ask questions and evaluate based on the company's needs.
We are building the next generation of deep-learning models for enzyme design to slash the cost of chemical manufacturing. The $6 trillion chemical industry is flawed: It produces 20% of industrial greenhouse gases, and is responsible for 15% of global energy usage. Enzymes offer a far more sustainable alternative to chemical synthesis and have already revolutionised how a select few chemicals are produced. The problem is each enzyme takes years of trial and error to develop. Our enzyme models learn the principles of catalysis, allowing us to design enzymes for each reaction, in days not years.
Lilac taps idle GPUs from cloud providers and enterprises, giving startups and researchers cheaper compute while letting companies monetize unused capacity. Fully automated with Kubernetes integration.
At Lilac, we automate the person taking order at the drive thru with a voice AI. We're building this for Quick Service Restaurants (QSRs) dealing with an historical labor shortage and rising wages. Previous attempts at drive-thru voice ordering are costly to implement and have failed to deliver the accuracy and latency needed. It's now possible to build a voice interface that passes the threshold for a great customer experience. In the United States, there are 200,000 Drive-Thrus handling 6 Billion visits a year. At 3 minutes per order, that's 34,000 human years spent on taking orders annually. Per location, on average we can deliver around $100,000 of value in terms of labor savings, upsell revenue lift, and training costs.
Linc is an AI agent to automate workflows in logistics. Our first product is an AI Copilot for logistics vendors that parses inbound (emails + documents + spreadsheets) and syncs this data with systems of record (ERPs/spreadsheets).
Line.Build is software for contractors to seamlessly find and apply for financing and rebates for energy efficiency upgrades. With buildings accounting for almost 40% of US GHG emissions, retrofitting for efficiency is essential to reduce emissions and load on the grid, but expensive. Over $80B of rebates, incentives and financing is available but hyper-fragmented across utilities, federal funds, grants, and green lending programs. Line consolidates disparate sources of funds and simplifies finding and applying for incentives and financing. Line is designed to be user-friendly, available in multiple languages, and accessible on both web and mobile devices. Additionally, it provides an API that seamlessly integrates with existing quoting tools, enhancing efficiency and convenience.
LineWise is building an AI assistant for manufacturing teams to operate and resolve production issues, from defects to breakdowns. LineWise automatically extracts frontline know-how from live video recordings, turning them into structured SOPs and training guides. It also ingests generated SOPs, machine manuals, and past breakdown logs to suggest the most probable root causes when issues occur. Operators receive step-by-step guided troubleshooting, and as they confirm outcomes, LineWise learns from each resolution - converting every fix into a reusable playbook and proactively recommending preventive actions to cut future downtime.
Lingo.dev helps dev teams use LLMs for app localization and content translation. Lingo.dev Compiler helps React developers localize apps without rewriting the existing code. Lingo.dev CLI helps web and mobile teams use AI for producing perfect translations for their user interfaces and docs. Lingo.dev SDK helps use LLMs for real-time translations.
Modern teams work in the browser. But browsers weren't built for teams 😔. This leads to a bunch of problems like: - Knowledge/info that is hard to find (links that get lost, documentation that gets, buried, silos, etc) - Poor collaboration - Inefficient workflows LinkGrep is an AI browser copilot that solves those problems by making your browser team friendly. Specifically we help teams: 1. 🔗 Keep track of links, documents, and more automatically. With LinkGrep you'll never have to manually add or save a link. 2. 🔍 Find information that matters. LinkGrep connects with your existing tools like Notion and Slack and will automatically suggest relevant information to you as your browse (we have semantic search that you can fallback on). Demo: https://youtu.be/jwcPGDRy4oQ 3. 👥 Collaborate better. LinkGrep lets you leave notes and comments directly on web pages — you won't ever have to copy paste a link into Slack ever again. 4. 🤖 Automate team actions like opening up the right links before a meeting. Never disrupt a meeting to send a link again. Demo: https://youtu.be/an3VKpAWft0
LiteLLM is an open-source LLM Gateway with 18K+ stars on GitHub and trusted by companies like Rocket Money, Samsara, Lemonade, and Adobe. LiteLLM provides an open source Python SDK and Python FastAPI Server that allows calling 100+ LLM APIs (Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic) in the OpenAI format We have raised a $1.6M seed round from Y Combinator, Gravity Fund and Pioneer Fund
Littio is a neobank focused on solving the currency devaluation problem for Latin Americans. The product offers a Savings Account, a Mastercard debit, and investing options in U.S. dollars to help people avoid the currency risk.
Speech and video models trained on internet data still lack realistic and domain-specific results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.
Mix Python, SQL, charts, and dynamic text in a fast, shareable, collaborative medium. Build and share data-rich docs and apps your team will love
Lizza's AI-assistant finds, contacts, and manages the entire collaboration process with content creators for D2C E-commerce brands while making it easy for content creators to make a living off of their talents by working with their favourite brands.
Locata is an AI referral management platform for Primary Care. We deploy AI agents to automate every step of the referral process that back-office staff face daily, from submitting prior authorizations to broadcasting updates and following up with patients. This frees up staff to focus on patient care. Primary care back-offices are severely understaffed and overburdened by administrative work associated with referrals. Additionally, patients suffer navigating the complex referral process, which can have disastrous health effects if they don’t get the care they need. These factors point to a glaring gap in the system—where out of over 100 million specialist referrals issued annually in the US, only half are actually completed. Locata is tackling this problem head-on, saving administrative staff hours each week and ensuring that the referral process goes as smoothly as possible for patients and their providers. Alejandro and Josh met at Stanford where they graduated with BS degrees in Computer Science. Alejandro was a senior software engineer at Meta’s Reality Labs where he led development of several AI features for wearable products and prior to that conducted AI research at Stanford Medicine. Josh graduated with a masters in Computer Science, specializing in AI, before working as a software engineer at Google where he developed AI products that served over 1 billion users. Within two weeks of building our product, we signed a major regional health center and have saved them over 100 hours of work in our first month live.
We make your agents pay. As agents evolve from tools into dependable, autonomous actors, they’ll need the ability to execute open-ended workflows end-to-end. This inevitably means payments: accessing paywalled data, transacting for services or with other specialist agents. But autonomy requires guardrails. Businesses and developers will need a way to ensure their agents only spend how much and on what they’re supposed to. The machine economy is coming, and Locus (YC F25) is building the connector businesses will need to participate. We connect agents securely to funds, letting you define permissions and limits for every transaction. Each payment is traceable, auditable, and fully reconcilable with your existing financial stack.
Logical is a desktop AI that acts as a proactive and largely promptless copilot, designed to reduce the friction of using AI for everyday tasks. It transfers context across apps, and allows taking action on many apps with just a few clicks. Logical can assist with drafting emails, writing docs, noting meetings and can even automatically detect action items. Need to prompt? Logical can understand intent in much fewer words than a regular chatbot. Plus, user data is never sent to Logical servers. Logical is the AI resurrection of Clippy, but actually good.
Compare models and outputs without random noise skewing your results. Verifiable AI. Store input + seed + output for audits, compliance, and reproducibility. https://www.logital.ai/ https://www.teclada.com/
Enterprises are racing to adopt AI, but often don't have the right controls in place or know how to verify vendors are compliant. LogosGuard turns AI policies into executable controls, stress-tests your AI products, and continuously monitors changes, giving enterprises the confidence to scale AI responsibly.
Loombotic is automating wire harness manufacturing.
Loops is a simple and beautiful email sending platform for SaaS companies. We have a Notion-style block editor for email creation, excellent deliverability for transactional mail and pre-built loops for SaaS companies to snap-in to increase their revenue and user engagement.
GTM teams are drowning in disconnected data—Salesforce, Stripe, Mixpanel, Gong, Slack, and email. The result: leaders can’t trust dashboards, data teams get buried in ad-hoc requests, and deal teams burn days stitching context instead of driving revenue. We have built Lopus Probe, an AI-powered GTM research platform that unifies structured and unstructured data into one governed workspace. Powered by an agentic semantic layer, it understands your company definitions, joins CRM + billing + product + transcripts safely, and delivers fast, explainable answers with lineage back to the source—turning every question into a lever for growth. Engineered by Lopus AI, the GTM weapons lab.
Transform your iMessage conversations into shareable stories Founded by a team of ex-Google Photos and AI engineers, we’re bringing the same “turn personal data into something you actually come back to” loop to relationships
For our first product, we built Rao: an AI coding assistant into RStudio — an IDE used by up to 5 million data scientists and statisticians who use the R programming language to analyze data. Rao could read, write, and edit code while understanding the user's context (codebase and environmental variables).
Lotus is an open-core pricing and billing engine. We enable API companies to automate their custom usage-based pricing for any metric. Rather than guess on how to charge their customers, Lotus provides companies with powerful new tools from metering to invoicing to testing new pricing. Our self-hosted software is free on GitHub, and we offer a paid cloud version and enterprise tier for support.
Assemble pharma publication-grade evidence 100x faster We synthesize fragmented medical evidence for pharma teams to prove drug safety, efficacy, and anticipate FDA/regulatory response — in days, not months. Members of our team worked in software engineering at Apple and AI at NVIDIA, helped start a large-cap pharma clinical trial, and trained at Harvard Medical School.
Loula is a software platform and national provider network for independent birth & postpartum doulas to boost their practices by accepting health insurance. Doulas typically operate outside of the traditional healthcare system and face an enormous learning curve and administrative burden when trying to accept insurance. This is why we created Loula. Starting with doulas in California, Loula handles their credentialing, contracting, and revenue cycle management so that they can focus on delivering the best quality care to their clients.
Lovage creates automated, virtual receptionists for businesses that can handle almost any customer need over the phone, via text, or on social media. Instead of hiring someone or having to deal with interruptions while working, Lovage helps your customers by answering questions, booking appointments, and more - just like you would.
Lua is the mid-market agent platform. We deliver enterprise reliability with the speed, flexibility, and economics that mid-market companies demand - helping them deploy AI agents that drive sales, support, and operations across everyday channels and tools. We scale through developer agencies and channel partners, enabling rapid distribution without a large enterprise sales motion or scaled forward deployed teams. We think of Lua as an agentOS that abstracts all of the complexity required to launch enterprise grade agents and combine it with the tools needed for these agents to succeed in the real world. Lua was founded by Lorcan O Cathain (CEO) and Stefan Kruger (CTO)- experienced founders who have spent 15 - 20 years each scaling technology companies across emerging markets. We sell to mid-market enterprises and developer agencies in the US and internationally. Developers are increasingly our primary ICP but we run SMB & enterprise sales motions to accelerate our learnings and further develop our product: - SMB ($25- 1k per month): fully automated self-serve agents that handle sales and support for eCommerce companies, hotels, restaurants and general service businesses. If you’ve been on our website you’ve likely seen this. - Enterprise: We directly sell to mid-market (~ $50M- $1BN) businesses across the US and internationally to eat our own dog food and strengthen our platform.
Pricing Strategy is one of the most powerful levers that retailers have at their disposal to create growth, yet it is underleveraged. Most retail pricing teams settle for making decisions in spreadsheets, shooting in the dark, and working backward from a cost-plus margin target, leaving a LOT of money on the table. Our founders experienced these problems at scale when they built pricing tech at Uber that made Uber a billion dollars in profit a year. They realized that retail was lacking the same quality and sophistication of price tooling. So, they built Luca. Luca is an AI-powered co-pilot for retail operators, which constantly identifies revenue and profit headroom, makes recommendations for price adjustments and saves countless work hours along the way. Luca is backed by Y Combinator, Menlo Ventures, and others.
Lucent automatically watches your user sessions and alerts you when users hit bugs or UX issues. You're recording thousands of sessions but nobody's watching them. Lucent does - catching silent issues breaking your product that you'd otherwise never know about.
Lucible is a combined checking and investment account that allows you to invest 100% of your money while still being able to spend it. Whenever you spend, we issue a loan in real time, using your investments as collateral, to cover the cost. This is the most capital and tax efficient way to manage your money. It's what the ultra wealthy already do to finance large purchases, and now you can do it for every day spending.
We are building universe simulations powered by interactive video models. We train video models that simulate hyper-realistic environments with immersive control, replacing hard-coded game or physics engines with dynamic neural networks. We built the fastest action-conditioned diffusion video model (running at 20+fps on a 4090 gaming gpu) to simulate minecraft. It is 5x faster than other minecraft World Models and was trained with 100x less resources. Our unique insight was relying on aggressive compression in our tokenizer (128x versus the traditional 8x), and because attention scales quadratically with # of tokens our model can run blindingly faster. Now we’re training a hyper realistic world model!
As AI agents take on more consequential workflows, the hard part isn’t just whether they work—it’s whether they behave consistently with your company’s knowledge, policies, and expectations. Lucidic AI turns that institutional knowledge into consistent agent behavior by continuously testing, stress-simulating, and auto-optimizing agents against your real production scenarios. Lucidic ingests your real logs, edge cases, and operational rules, then uses controlled simulations, reinforcement learning, and Bayesian optimization to automatically discover failure modes, propose targeted fixes, and verify improvements before anything reaches production. Instead of relying on manual prompt fiddling or guesswork, your agents get a continuous improvement loop: they’re tested, corrected, and optimized based on what your business actually requires—not what a generic model assumes. The result is AI agents that reliably follow your domain logic, adapt to changes, and stay aligned across clients, configurations, and environments—without you needing to hand-engineer every prompt or behavior.