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Artificial Intelligence • Fintech • Information Technology • Machine Learning • Software • Analytics • Financial Services
New York, New York, USA
1,459 Employees

Enova International is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health.


Artificial Intelligence • Machine Learning • Conversational AI • Generative AI
New York, New York, USA
45 Employees

Developed over the past seven years in collaboration with 60,000 human agents, Apollo is a breakthrough language model for objective-oriented conversational agents. Apollo replaces the transformer architecture of traditional LLMs with a neuro-symbolic architecture that couples the conversational skills of generative AI with the predictability and actionability of rule-based AI, making it better suited for agents. Companies of any kind can fine-tune the Apollo base model on a specific task and deploy conversational agents that work on their behalf. These fine-tuned agents can continuously improve from human feedback, which is integrated into their updated versions. They further feature fine-grained control, the capacity to adhere to the deploying company’s policies and a white-box view of their operations. With native tool use, defined scope and guardrails and superior steerability, Apollo Agents outclass LLM Agents across all conversational use-cases. Apollo does not train on company data, instead, it can be pre-integrated with any number of internal systems, and seamlessly call the relevant API endpoint whenever necessary. Like transformer-based LLMs, Apollo has a “system prompt”, broken down to structured, conditional policies. Workflows and tools are native to Apollo and do not rely on function calling or chaining. This enables 100% success rate in executing complex API calls and the ability to return grounded answers in each interaction from any number of endpoints or sources. Unlike transformer-based LLMs, Apollo is fine-tuned at the interaction level. In the Simulator, companies can generate automated conversations simulating the agent in production in front of users. They then proceed to fine-tuning the agent by correcting its output in each unsatisfactory interaction. This process can be repeated continuously to improve the performance and alignment of the agent. Unlocked with Apollo are some exciting new agentic use-cases, including the ability for companies to responsibly communicate with their customers using conversational AI, and to sell their products and services without the need for human involvement, the example featured in the Live Demo Agent.


Artificial Intelligence • Fintech • Machine Learning • Software • Cybersecurity
New York, New York, USA
50 Employees

Fraud.net operates a real-time fraud detection and analytics platform, helping companies with high volumes of digital transactions to quickly identify transactional anomalies and pinpoint fraud using big data and live-streaming visualizations. Our first-of-its-kind platform allows enterprises to monitor their end-to-end fraud program’s performance,


Artificial Intelligence • Fintech • Healthtech • HR Tech • Insurance • Machine Learning • Software
New York, New York, USA
150 Employees

At Nayya, we believe there is a better way to choose benefits. A more transparent, less confusing way where consumers feel more confident in their decisions. We focus on decision support and benefits engagement. It’s one of the most stressful and challenging situations consumers face – and we see that as an opportunity to do good. We’re excited to deliver a new experience to consumers, where they choose their benefits through our software, data and AI engine. We are a benefits technology company that aims to bring peace and confidence to consumers as it relates to their employee benefits. Nayya is revolutionizing the way people interact with their benefits by serving as a data-driven advisor across the benefits lifecycle.


Fintech • Insurance • Machine Learning • Software
New York, New York, USA
35 Employees

Kalepa is an award-winning AI software company transforming the trillion-dollar commercial insurance industry. Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions, so insurers can grow their top and bottom lines while business owners get the coverage they need. Copilot is delivering real, tangible impact to insurers from day 1, and underwriters rave about it. “[They] don't know if [they] could function doing daily underwriting without having it,” and they assert that "not only is Kalepa’s technology miles ahead of other vendors, but when it came to driving real impact on our business, there [is] no competition." Kalepa’s Copilot powers insurers of all sizes, including +$10B carriers like Arch and Munich Re, hypergrowth MGAs like Bowhead Specialty and Paragon, and small regional insurers like North Star Mutual. At Kalepa, you'll join a team of doers who are passionate about innovating and winning. We are a fast-moving group with high expectations for every person we hire and everything we build.


Artificial Intelligence • HR Tech • Machine Learning • Natural Language Processing • Software • Conversational AI • Generative AI
New York, New York, USA
50 Employees

Valence has built the first ever AI-native coach for enterprise. We are changing the face of leadership development, learning, and collaboration at work - our mission is to help the world work better, together. Valence's enterprise-grade, secure and responsible AI applications are trusted by the world’s and most secure companies like Nestlé, The Coca Cola Company, General Mills, Keurig Dr Pepper, Vanguard Mutual, Experian, Prudential, Schneider Electric, Applied Materials, ServiceNow and more.


Computer Vision • Consumer Web • Fitness • Machine Learning • Mobile
New York, New York, USA
11 Employees

Kickoff addresses two of the biggest challenges facing the 21st century - the obesity epidemic and the future of work, giving motivated workers a fulfilling and lucrative career, no matter their experience level. We are a remote personal training business-in-a-box that makes it easy for anyone to become a certified personal trainer, recruit clients from their network, fundamentally change lives for the better and earn a 6-figure income. Our tech makes our coaches ultra efficient and effective, from recruiting clients to daily nutrition behavior change to the best possible workout for the client each day. Clients get the unbeatable results that can only come from daily human accountability while coaches get much higher pay, complete autonomy, flexibility, and purpose. We’re well on our way to our goal of millions of high-earning coaches putting a massive dent in the obesity epidemic - to date, over 18,000 coaches have joined, and we’re growing north of 20% month on month.


Artificial Intelligence • Machine Learning • Sales • Security
Fully Remote, USA
80 Employees

Ambient.ai is an AI company headquartered in Palo Alto on a mission to prevent every security incident possible. Our breakthrough technology combines cutting-edge deep learning with a contextual knowledge model to achieve human-like perception ability. Ambient's flagship product has been deployed by multiple Fortune 100 companies to solve a mission-critical problem in a way that has never been possible. The company was founded in 2017 by Shikhar Shrestha and Vikesh Khanna who are experts in artificial intelligence from Stanford University and previously built iconic products at Apple, Google, Microsoft, and Dropbox. We are a Series-B company backed by Andreessen Horowitz (a16z), YCombinator, and visionary angels like Jyoti Bansal, Mark Leslie, and Elad Gil. Recently named on the YC Top Companies Lists for 2021 and 2022, and the Forbes Cloud 100 Rising Stars 2020, we’re achieving the impossible daily and transforming an industry that has seen little innovation for decades. We are always looking for passionate people that enjoy tackling the toughest problems with cutting-edge AI/ML. Come join us! 100% of employees surveyed in our most recent engagement survey say they would recommend Ambient.ai as a great place to work and expect to be here in 2 years!


Artificial Intelligence • Machine Learning • Natural Language Processing • Analytics
NYC
137 Employees

extio's mission is to build software that creates understanding between people. Our category-defining augmented writing platform is transforming how people communicate. Textio brings the world's most advanced language insights into your hiring and employer brand content. Inclusive, on-brand content, every time you write. Textio was named Washington’s Best Midsize Company to Work for by Seattle Business Magazine and one of the World’s Most Innovative Companies by Fast Company. Textio was founded in Seattle, but now we’re a fully distributed team working from eight states across the U.S. If you live in California, Colorado, Hawaii, Illinois, Massachusetts, New York, Oregon, Texas, or Washington, let’s talk!


Machine Learning
NYC
88 Employees

Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature store to make world-class machine learning accessible to every company. Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. But ML models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage ML data. Most companies don’t have access to the advanced ML data infrastructure that is used by the internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production. We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.


Artificial Intelligence • Healthtech • Machine Learning • Biotech
New York, New York, USA
53 Employees

Our vision is to eliminate errors in radiology and make the best diagnostic care available to everyone. We are an experienced team of clinicians, technologists, and industry professionals building state-of-the-art AI software to improve patient outcomes.


Artificial Intelligence • Machine Learning • Software
NYC
4 Employees

At re:collect, we're building an AI-powered thought partner that helps you ideate and create without breaking flow. Designed to mimic how your mind works, we use machine-learning models to connect and retrieve your digital information effortlessly. No tagging, organizing, or linking required. Move beyond managing your information and focus on ideating, creating, and sharing your ideas.


Artificial Intelligence • Machine Learning • Natural Language Processing • Retail • Business Intelligence • Conversational AI • Automation
NYC
7 Employees

Merciv provides enterprises with an end-to-end intelligence platform that guides data through a complete journey—from raw information to clear insights, organizational knowledge, and predictive foresight. By seamlessly integrating vast data resources, offering natural language interaction, and delivering proactive, actionable intelligence, Merciv empowers organizations to unlock hidden opportunities, optimize operations, and shape their future in an increasingly complex, data-driven world.


Artificial Intelligence • eCommerce • Machine Learning • Marketing Tech • Software
New York, New York, USA
320 Employees

Bluecore is a multi-channel personalization platform that gives retailers a competitive advantage in a digital-first world. Unlike systems built for mass marketing and a physical-first world, Bluecore unifies shopper and product data in a single platform, and using AI/ML, activates welcomed personal experiences at the speed and scale of digital. Through Bluecore’s dynamic shopper and product matching, brands can personalize 100% of communications delivered to consumers through their shopping experiences, anywhere. This comes to life in three core product lines: Bluecore Communicate™ a modern email service provider (ESP) + SMS Bluecore Site™ an onsite personalization product Bluecore Advertise™ a paid media product Bluecore is credited with increasing lifetime value of shoppers and overall speed to marketing for more than 400 brands, including Express, Tommy Hilfiger, The North Face, Teleflora and Bass Pro Shops. We have been recognized as one of the Best Places to Work by Fortune, Crain's, Forbes and BuiltIn as well as ranked on the Inc. 5000, the most prestigious ranking of the nation’s fastest-growing private companies.


Artificial Intelligence • Machine Learning
NYC
120 Employees

Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterprises such as Chubb and BNY Mellon, and several government agencies to accelerate AI application development by 10-100x.


Machine Learning • Other • Social Impact • Software
Philadelphia, Pennsylvania, USA
50 Employees

Azavea is a professional services firm with 20 years of experience building geospatial software and data analytics tools. As a B corp, we are a mission driven organization meaning we work exclusively on civic, social and environmentally impactful projects. Additionally, we are committed to open knowledge. We therefore try to bring open source data into our projects when possible and we also contribute to open source software. Often the OS tools we build come from our own needs, but are then used by a much wider community. As a custom software development firm we offer a full service solution - this means we have our own design team that works on UX/UI design, the work is managed by a project team with a project manager and dedicated engineers, and then we also have a dev-ops team that is ensuring that applications will work at scale.


AdTech • Enterprise Web • Information Technology • Machine Learning • Marketing Tech • Sales
New York, New York, USA
288 Employees

OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.


Information Technology • Machine Learning • Software • Analytics • Business Intelligence
Fully Remote, USA
330 Employees

CB Insights fuses machine learning, algorithms, data and visualizations together to help large enterprises ask, answer and articulate compelling answers to difficult questions - about growth, about competition and about the markets and technologies of the future.


Machine Learning

Before intelligence comes learning. We created a Machine Learning Platform for non-programmers.


Artificial Intelligence • Fintech • Machine Learning • Software
New York, New York, USA
1,200 Employees

Ocrolus is the leading document automation platform in financial services, powering the digital lending ecosystem with trusted data. The company provides modern document analysis infrastructure and has raised over $100 million from blue-chip fintech investors.