Core Insights - The company reported significant year-over-year growth in profitability, with adjusted EBITDA rising to $110 million in 2025 from approximately breakeven in 2024, reflecting a margin expansion of 270 basis points [1][7] - Total revenue for 2025 reached $3.9 billion, marking a 46% increase year-over-year, driven by a 25% growth in membership [2][7] - The company exceeded guidance across profitability metrics, with adjusted gross profit of $125 million and an adjusted medical benefit ratio (MBR) of 87.7% in Q4 2025 [3][5] Financial Performance - For Q4 2025, health plan membership totaled 236,300, representing a 25% year-over-year growth, and total revenue for the quarter was $1.0 billion, up 44% year-over-year [4][7] - Adjusted gross profit for the full year was $495 million, resulting in an MBR of 87.5%, an improvement of 130 basis points year-over-year [2][7] - Full-year 2026 guidance includes membership growth to 292,000–298,000, revenue of $5.14–5.19 billion, and adjusted EBITDA of $133–163 million [18] Membership and Market Expansion - Membership reached 275,300 in January 2026, reflecting a 31% year-over-year growth, with significant growth in both California (23%) and ex-California counties (over 80%) [11][7] - The company demonstrated the replicability of its model outside California, with membership outside the state more than doubling to approximately 38,000, representing about 16% of total membership [6][9] Operational Efficiency - The company generated positive free cash flow in 2025 and ended the year with $604 million in cash and investments, alongside a $200 million revolving credit facility [6][17] - Adjusted SG&A expenses increased by 28% year-over-year to $385 million, but as a percentage of revenue, it improved to 9.7% from 11.1% in 2024, a decline of about 140 basis points [8][7] Strategic Outlook - The company plans to invest in sales and distribution, deepen broker relationships, and continue growing with aligned provider partners, viewing its less than 4% market share in 23 counties outside California as an opportunity for growth [10][7] - Management emphasized a responsible approach to growth, with nearly 20% improvement in voluntary disenrollment metrics and sourcing about 80% of gross sales from plan switchers [12][7]

I can't see. Hello everyone and thank you for joining. My name is Mertza and I'm from Llama Index and I'm very excited to invite all of you to our webinar today where we're going to host our our friends and um users stack AAI.We're joined here today by Eric. Um, Eric is a software engineer on the knowledge team at Stack Aai. He focuses on building scalable document ingestion and retrieval pipelines for enterprise AI agents.He's also an active open source contributor as a GraphQL Python maintainer and Strawb ...

A new guide shows how to build a Claude code plugin using the Sui stack, giving developers another way to extend AI workflows on-chain.J (@zero_x_j):https://t.co/URLu9IurDJ ...

Core Insights - Betty, a Quad agency, is expanding its operations by opening new offices in Austin, Texas, and Mexico City, Mexico, enhancing its global platform and creative capabilities [1][2] Group 1: Office Openings - The Austin office, opening on January 22, 2026, will feature an 8,400-square-foot studio and host over 25 photographers, stylists, and production crew members weekly [3] - The Mexico City office, set to open in the first quarter of 2026, will occupy 10,000 square feet and will be shared with Quad's media agency, Rise [5][6] Group 2: Strategic Importance - The new locations are positioned in high-growth markets recognized for their cultural and creative significance, allowing Betty to tap into local talent and insights [1][2] - The Austin office aims to enhance Betty's studio model by integrating scalable AI workflows with in-house creative expertise, enabling rapid production of brand-accurate content [4] Group 3: Client Engagement - Betty's expansion is driven by increased demand from both established brands and challengers seeking innovative creative solutions that maintain quality and speed [2] - The Mexico City team is focused on supporting brands in retail, grocery, and packaging design, with plans to expand its client roster [5][6]

[MUSIC] Hello, I'm Jason from DDN. Today, I want to take you inside the AI Factory and show you how DDN powers full cycle AI workflows from the moment data arrives all the way through training, tuning, and inference. When people talk about AI, they often think only about model training. But an AI Factory is a pipeline with many unique stages, with ingest, data preparation, model training, fine-tuning, and then inference and RAG. As data moves through these stages, the volume increases, the access pattern ...

AI Workflow & Data Preparation - Infinia plays a crucial role in AI workflows, particularly in data preparation stages, by handling diverse data ingestion, providing low-latency KV store access at scale, and integrating with various AI platforms [2] - The AI pipeline involves data collection, pre-processing, tagging, and indexing as key data preparation steps [1] - DDN's Infinia, combined with Spark integrations, facilitates a smooth and scalable workflow using familiar tools for AI developers [6][7] Data Management & Security - Infinia addresses the challenge of providing secure data buckets for multiple developers through multi-tenancy controls, enabling dynamic addition or removal of secure tenants and subtenants [6] - DDN has developed Spark integrations to efficiently move data into developer tenant buckets [6] - Infinia's multi-tenancy can create secure locations for hosting data used in each inference pipeline [9] Mortgage Default Modeling Demo - The demonstration uses 10 years of quarterly mortgage finance data to model delinquency rates and probabilities on mortgage defaults [4] - Apache Spark is used to prepare the data and pipe it into a model training process that could be run on top of Infinia [3] - The workflow includes extracting recent data subsets, copying them into new Infinia buckets using Spark, and transforming the data into parquet files for model training [4][8] - The model training utilizes the XGBoost machine learning library to create a predictive model for mortgage defaults [9]

Hey everyone, this is Christina from OpenAI. Welcome to Agent Builder 101. Agent Builder is a new visual tool for building AI workflows.You connect nodes and create agents without writing any code. So you can start from templates or build your own from scratch. And it also comes with built-in eval so you can test and understand how your agents perform.When you're ready, you can export the workflow as code or drop it straight into your product. Basically, it's your all-in-one space to design, test, and launc ...

Pytest for LLM Apps is finally here!DeepEval turns LLM evals into a two-line test suite to help you identify the best models, prompts, and architecture for AI workflows (including MCPs).Works with all frameworks like LlamaIndex, CrewAI, etc.100% open-source with 11k stars! https://t.co/Xayu1aFGFV ...

Overview - Mastra.ai is a TypeScript framework designed to streamline the development of agentic AI systems, offering an alternative to traditional approaches using LangChain and vector databases [1] - The workshop aims to equip participants with the skills to develop scalable AI-driven internal tools based on sound software engineering principles [1] Technical Aspects - Participants will learn to build structured AI workflows with composable tools and reliable control [1] - The session covers Mastra installation, running a local MCP server, defining tools and agents in TypeScript, and using the Mastra playground [1] - Practical examples include RAG setups and tool-chaining agents [1] Application - The framework enables the creation of internal AI assistants capable of handling requests like data cleaning, email drafting, and document summarization with minimal code [1] Speakers - Nick Nisi is an elite software engineer with expertise in open source web development [1] - Zachary Proser builds AI systems and shares his learnings through sample applications, technical guides, and real-world lessons [1]