ai-ml
RSSThursday, May 28, 2026
Triomics builds oncology-specific AI for cancer centers, automating chart prep, clinical trial matching, and tumor registry reporting against complex multi-year patient records. The platform is used by academic centers including Memorial Sloan Kettering and Yale Cancer Center, and is positioned against generic AI scribes by training models on oncology data rather than general clinical text.
Corgi is an AI-native, full-stack insurance carrier built for startups, using modern infrastructure and artificial intelligence to handle underwriting, policy management, and claims so it can deliver fast, flexible commercial insurance tailored to growing companies.[2][5]
Daloopa is a Series B, venture-backed company providing AI-powered fundamental data for institutional investors. Its platform sources, structures, and distributes the most complete and accurate historical financial dataset, covering nearly 4,700 public companies globally. The company is focused on accelerating decision-making for investment professionals by automating financial modeling and data extraction workflows.
Modiqo is a San Francisco-based agentic AI infrastructure startup building a local execution layer called Rote that captures successful AI agent runs and transforms them into reusable, deterministic workflows. The platform connects agents to any API without server infrastructure or SDKs, reducing token usage and preventing repeated debugging when models or APIs update. Founded and led by CEO Chetan Conikee, Modiqo targets systems operators tasked with moving AI agents from one-off demos to production-grade systems.
Rep AI builds an agentic AI operating system for ecommerce, unifying shopper-intent detection, personalized sales guidance, conversion optimization and post-purchase support inside a single platform. Founded in 2020 and led by CEO Yoav Oz, the New York-based company serves brands like OLLY, HigherDOSE, Satya Jewelry and Unclaimed Baggage.
Solstice is an AI-native marketing agency for pharma brands, combining proprietary AI models with in-house medical and regulatory experts to generate, review and activate compliant commercialization content. Headquartered in New York, it serves a dozen-plus pharmaceutical companies, including several top-20 brands across oncology, immunology and metabolic diseases.
Trajectory builds a platform for continual learning, letting companies post-train open-source AI models on real user interactions so products improve weekly instead of staying static between major model releases. Founded in 2025 by former Google DeepMind, Apple, OpenAI and Meta Superintelligence Labs researchers, it works with AI-native customers including Decagon, Clay and Harvey to ship narrowly-tuned models that outperform frontier labs on customer-specific tasks.