predictive-ai
(13)
Cordial and the art of earning the next email
The enterprise messaging company turns shopping signals into reasons to get in touch. Its most useful idea: a campaign should begin with something the customer did.
FairPlay Built the Betting Business Hiding Behind the Scoreboard
Oddschecker spent 25 years teaching bettors to shop for a better price. Now its parent is turning that habit, and the data trail behind it, into infrastructure for the rest of sports media.
Faraday Spent 14 Years Mapping 240 Million Americans. Now It Wants to Be the Memory Your AI Agents Are Missing
Most marketing AI can write a charming sentence but still has no idea who the customer is. Faraday sells the missing context - and a lead-routing experiment at American Standard shows what happens when the data is finally switched on.
Teads
Teads wants to make the fragmented open internet buyable like one coherent medium. After combining Outbrain's performance engine with Teads' premium video and creative stack, its wager is that the web outside the walled gardens can compete screen by screen - including the biggest one in the house.
Churned
Predictive AI built to prevent churn for high-volume subscriptions. Churned tells you exactly which subscribers are about to leave, what to offer them, and triggers the action automatically.
Dstillery
Dstillery is a New York-based predictive AI audience-targeting company for the advertising industry. It builds custom, model-driven audiences that let brands and agencies reach the right consumers programmatically, including through its patented ID-free cookieless technology and its DS-1 agentic AI platform that turns audience building into a natural-language chat. It works across major demand-side platforms such as The Trade Desk, Yahoo, and Microsoft Advertising, and counts a large share of the Fortune 100 among its users.
Claritas Rx
Claritas Rx is a South San Francisco-based health-tech company that turns fragmented specialty pharmacy, channel, and clinical data into actionable intelligence for biopharmaceutical manufacturers. Its AI-powered Ascend platform integrates disparate patient-level data sources so drug makers can see how their specialty and rare-disease products perform, identify access barriers, and coordinate patient support - helping more patients start and stay on therapy.
Dataro
Dataro is a predictive AI platform that helps nonprofit fundraising teams turn their existing donor data into ranked, day-to-day actions. It analyzes data inside a charity's CRM to score every donor, flag who is at risk of lapsing or ready to give, and recommend the next best step - so teams can prioritize the right supporters without increasing outreach. Used by more than 300 organizations across 20+ countries, including World Central Kitchen, Amnesty International, Save the Children and Greenpeace, Dataro raised a $14.28M Series A in February 2026 led by Blueprint Equity.
Continual
Continual is a San Francisco AI company building a platform for running business operations with agents. Founded by repeat ML founders Tristan Zajonc and Tyler Kohn, it launched in 2021 as a declarative machine-learning platform on the modern data stack, then pivoted into the AI copilot and agent era - letting teams connect their tools and data, automate workflows across agents and people, and turn repeatable processes into agent-powered applications. Backed by $18.5M+ from Innovation Endeavors, Amplify Partners and others.
Riverbed Technology
Riverbed Technology is a San Francisco-based IT software company that helps large enterprises see, optimize, and troubleshoot the digital experiences their people and customers depend on. Originally famous for the SteelHead WAN-optimization appliance, Riverbed has reinvented itself around AI-powered unified observability - stitching together network, application, and end-user telemetry, then layering predictive, generative, and agentic AI on top to spot problems and increasingly fix them automatically. Founded in 2002, taken private by Thoma Bravo in 2015 and again by Vector Capital in 2023, it serves thousands of global organizations across finance, government, healthcare, retail, and beyond.
SymphonyAI
SymphonyAI builds vertical, industry-specific AI software that runs core workflows for demanding sectors - financial services, retail and CPG, manufacturing, media, and enterprise IT. Founded in 2017 by billionaire technologist Dr. Romesh Wadhwani and led by CEO Sanjay Dhawan, the Palo Alto company stitched together a string of startups and acquisitions into a single, profitable enterprise AI company built on its Eureka generative AI platform. With a roughly $500M revenue run rate, 2,000+ customers across some 40 countries, and around 2,300-2,500 employees, SymphonyAI sells ready-to-deploy AI rather than build-it-yourself tooling - and has openly signaled plans to go public.
Vivodyne
Vivodyne is a biotech company that grows more than 20 types of lifelike human organ tissues in the lab, then uses robotic automation to dose, cultivate, and analyze more than 10,000 of them at a time. The vast human datasets it generates feed multimodal AI models that predict how new drugs will behave in people - before they ever reach a clinical trial. The pitch is blunt: roughly 95% of therapies that work in animal models fail in human trials, and Vivodyne wants to fix that gap with real human data instead of mice.
H2O.ai
H2O.ai is a Mountain View-based AI cloud company founded in 2012, on a mission to democratize artificial intelligence for everyone. The company offers a converged platform spanning predictive and generative AI - from its open-source H2O-3 machine learning framework to enterprise products like Driverless AI, h2oGPTe, and the H2O AI Cloud. Trusted by over 20,000 organizations including more than half the Fortune 500, H2O.ai is known for employing the world's largest team of Kaggle Grandmasters and for pioneering automated machine learning. With $246 million in total funding at a $1.7 billion valuation, the company serves industries from financial services and healthcare to government and telecommunications, delivering AI that organizations can deploy on their own terms - on-premises, in the cloud, or in air-gapped environments.