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Abacus
Making expense reports obsolete
Abacus is the only real-time expense management solution to reimburse your team, reconcile corporate cards, and automate your expense policy. By eliminating the month-end expense report, Abacus turns submitting and approving expenses into a delightful, collaborative experience. With our mobile app, you'll quickly submit and approve expenses on the go and reimbursements now happen within days. Abacus syncs with your accounting software and auto-matches transactions for hassle-free bookkeeping. Come work with us! We're hiring: abacus.com/about#hiring
Abatable
Carbon markets platform and solutions
Abatable is a carbon offsetting procurement platform which connects companies with carbon project developers of high quality carbon offsets. Abatable facilitates procurement decisions by offering third party quality assessments of projects and by standardizing multi-year purchase agreements and an automated RFP platform. The team has extensive experience advising institutional investors on nature-based carbon removal and impact investment portfolios and is backed by leading investors like YCombinator, BlueBear Capital and Global Founders Capital.
Abbot
Your Customer Success Co-Pilot
Abbot helps customer-facing teams work with their customers in Slack. Abbot watches activity to make sure that customers get replies quickly. Once Abbot joins a room, it summarizes conversations, tags relevant topics, and even suggests next steps. Abbot's Insights make it easy to see your team's responsiveness at a glance. Want to automate common tasks? Abbot's built-in Skills functionality (think: small bits of code we run for you) can be triggered by customer topics, on a schedule, in response to external webhooks, or directly from chat.
Abel Police
Automating police paperwork
Abel takes police body camera footage and turns it into completed police reports. Currently American patrol officers spend one third of their shift writing reports - turning that to zero would increase the effective police force by 50%, radically changing US cities.
Abhi
Abhi is Pakistan's 1st financial wellness platform focusing on…
An early wage access platform allowing salaried employees to draw down a percentage of their accrued salary before the next payroll cycle. Helping employees to avoid late payment fee on bills, access emergency cash and substitute expensive debt. We work on a B2B2C model allowing companies to extend the product as a benefits program to their employee base.
AbInitio Bio
The Intelligence layer for Drug Manufacturing
Abinitio Bio builds foundation models for biomanufacturing, validated against wet lab data. Our first model, Echo, predicts manufacturing outcomes more accurately than standard models, and any pharma or CDMO can adapt it to their own workflow instantly. By making process decisions that take 6-18 months today in hours, we help teams avoid the cost of delay on a single program.
Abstra
Automate finance operations with Python and AI
Abstra is a platform that allows finance teams to build, run, and automate their workflows using Python and AI. Instead of relying on spreadsheets, ERPs, and manual processes, teams can create programmable workflows for tasks like reporting, reconciliations, approvals, and integrations with systems like SAP. We provide a developer-friendly environment where finance and technical teams can turn business processes into code, connect to their existing tools, and run everything in a controlled, auditable way. Our goal is to become the operating system for finance operations, where workflows are not static or manual, but versioned, automated, and continuously improved.
Absurd
The Creative OS for AI video
Absurd makes AI brand and performance ads at scale. Our last video for Kalshi ("Election Day") did 1M+ views, and our videos average 400K+ organic views. Companies like Hims, Kalshi, Replit, and Brex use Absurd to create production-quality videos in 72 hours. Try it at absurd.com
Abundant
Agent simulation and RL for researchers
Hello! 👋 We are a team of former ML engineers, founders, roboticists and ops leads who obsess about data and its impact on safe, reliable AI. We specialize in creating environments and datasets for RL by leveraging our experience in simulation and model training. By the numbers: • Powering 3 of the top 6 global AI labs and multiple Fortune 500 enterprises • Billions of training tokens generated each month, 2x month over month • Exclusive, global network of over 500 domain experts We believe humans are inherently creative, and thrive by pushing the frontier. We are working towards an abundant future--one where everyone has access to infinite intelligence, services and goods. Based in San Francisco, CA. We enjoy good food and good company. -- more info below -- Abundant is building the NVIDIA of training data. AI models rely on two fundamental ingredients: compute and data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of second-time founders, ML engineers and data leads from Waymo, Google, Meta and AWS. Our team has previously collaborated with DeepMind to classify hate speech in YouTube videos, trained SOTA models for self-driving, and scaled data pipelines with thousands of human annotators. Our pioneering work in human computation, synthetic data, imitation learning and RL give us a solid advantage in delivering results to our customers. Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require new, diverse, and high-quality datasets, making training data more important and scarce than ever before. What happens if we succeed? Abundant will be the core enabler for AGI and beyond. Most of the challenges in model training are already solved. What’s missing is the data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from digital intelligence to physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, i.e. “abundant data”. Abundant works with the most advanced AI labs and startups, as well as F500 enterprises.