PLANO, Texas, Nov. 4, 2026 /PRNewswire/ — Leading revenue cycle technology company CorroHealth today announced that CEO Pat Leonard has been named to CEO Magazine’s 2026 Executive of the Year Awards, which recognizes the exceptional leaders shaping the future of American business.

Leonard was honored for his strategic vision and operational discipline, building a strong foundation for accelerated growth. He was selected after a thorough nomination and evaluation process, standing out among an outstanding group of executives who are making a significant impact across their organizations and industries.

“A huge congratulations to Pat on being named Executive of the Year by CEO Magazine,” said Becky Blake, Chief People Officer at CorroHealth. “His vision and commitment have transformed our company and pushed healthcare technology forward. This recognition is a testament to the innovation and inspiration he brings to our team, partners, and stakeholders every day.”

CEO Magazine’s Executive of the Year Awards celebrate excellence among senior executives making significant impacts in their fields, from driving business growth and transformation to championing innovation, building high-performing teams and navigating complex markets.

Since 2020, Leonard has led CorroHealth’s operational transformation, establishing the company as a preferred partner in healthcare technology and revenue cycle management by merging clinician-led expertise with proprietary AI-driven technology. Through targeted acquisitions, strategic partnerships, and organic growth, he has expanded the company’s presence to over 10 locations worldwide and further strengthened its position as an industry leader.

To learn more about CorroHealth, visit corrohealth.com.

About CorroHealth
CorroHealth, the leading healthcare technology and revenue cycle management company that helps providers and payers improve financial performance through automation, data-driven analytics, and clinically led expertise. CorroHealth delivers integrated, scalable solutions that support complex reimbursement and documentation workflows, backed by a global workforce operating in more than 10 locations, including the United States, United Kingdom, India, and the United Arab Emirates. The company was recently named one of the “Top Places to Work in Healthcare in 2026” by Becker’s Healthcare and was recognized by the 2026 Inc. 5000 list of America’s fastest-growing private companies. Further information is available at corrohealth.com.

Media Contact:
CorroHealth 
mediarelations@corrohealth.com

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SOURCE CorroHealth

Contextbase keeps semantics, knowledge, memory, traces, and evaluations in one governed system that every agent can read from and write to.

MENLO PARK, Calif., Nov. 4, 2026 /PRNewswire/ — PhoenixAI, the original creator of StarRocks and the agentic AI database company, today launched Contextbase, the context infrastructure for AI agents. The company is unveiling it at NEXT QUERY 2026, its Data + AI Infrastructure Summit. Contextbase stores semantics, knowledge, memory, traces, and evaluations as context in one system, so agents understand, reason, and act better with every run.

An agent only knows what is in its context. What the data means, what the business knows, what earlier runs learned, what this run did and whether it worked all reach the agent as context, or not at all. In most stacks today those pieces live in separate tools: definitions in a semantic layer, documents in a vector store, memory in a memory service, and traces and evaluations in observability tools. Each keeps its own copy and its own permissions.

Contextbase holds all of it in one place. Semantic views of entities, dimensions and metrics, defined by the business in Semantic SQL. Typed, versioned knowledge records such as a spec, an incident review or a playbook, linked to each other. Memory that agents write from earlier work. Traces of every model call and tool call in a run, with prompts, outputs, tokens and cost. And evaluations, from test datasets and eval runs to scores on live traffic.

“An agent is only as good as its context, and today it has to glue that context together from separate systems on every turn. What it gets is partial, inconsistent and often stale,” said James Li, co-founder and CEO of PhoenixAI. “Context is the next great infrastructure layer, and it belongs in one real-time system, where it compounds. Every run makes it better, and every agent you ship makes the next one smarter. That’s the flywheel Contextbase starts.”

Contextbase is built into the PhoenixAI database, so context lives on the same cluster as the business data and one query can reach all of it under one set of permissions. Everything in it is linked, versioned, governed and directly readable by agents. The agent is the non-deterministic part of the system, so the place it reads from is built to be steady: definitions are verified, the system enforces policies, and records are kept as written.

PhoenixAI is building applications on Contextbase, starting with ObserveStack, for tracing and evaluating agents, so teams can see what each run did and score whether it worked, using the same store their agents read from.

Contextbase will be available in private preview on November 4th. Teams can request a free trial today at phoenixdata.ai.

About PhoenixAI
PhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access to live enterprise data at massive scale. The platform unifies real-time and at-rest data in a single AI-native engine, combining the speed and concurrency that agentic workloads demand with the governance and deployment flexibility enterprises require to put AI into production. PhoenixAI runs in the customer’s own cloud account, or self-managed on the customer’s own private cloud, or on their own hardware, including on-premises. Formerly CelerData, and the creators of the StarRocks open source project, PhoenixAI is headquartered in Menlo Park, California. Learn more at phoenixdata.ai.

Media Contact
Sida Shen
PhoenixAI
426269@email4pr.com
415.259.9104

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SOURCE PhoenixAI

Continuous experimentation informs AI decisions on when and how to engage healthcare professionals

NEW YORK, Nov. 4, 2026 /PRNewswire/ — GrowthLoop, a pioneer in agentic AI-powered marketing solutions, and EVERSANA®, a leading independent provider of global services to the life sciences industry, today announced an expansion of their Composable AI Decisioning solution to include biopharmaceutical marketing, improving when and how marketers engage healthcare professionals. Building on GrowthLoop’s composable CDP and AI Studio, the AI decisioning applies continuous experimentation to identify which marketing actions improve healthcare professional engagement and use those findings to inform AI decisioning and guide subsequent interactions.

The work addresses a practical challenge for biopharma marketers more broadly. First-party data can show past engagement metrics, but marketers also need evidence of which marketing actions make a difference, for which audiences, and under what circumstances — causal data. Powered by continuous experimentation, the GrowthLoop team, together with partners including EVERSANA, is building a Causal Context Graph, a knowledge graph unique to each organization that continuously captures healthcare professional context and learnings from prior interactions to provide reliable, verifiable feedback for AI decisioning.

“Our pharmaceutical clients need more than just another performance report or audience segment. They need to understand which marketing decisions result in a measurable, impactful difference for the metrics that matter most to their bottom line and the marketing decisions that are most likely to yield the highest returns in the future,” said Faruk Capan, Chief Innovation Officer, EVERSANA. “GrowthLoop’s expanded AI decisioning capabilities are a huge step for the industry.”

Experiments reveal opportunities to improve engagement

In one campaign, GrowthLoop’s decisioning capabilities identified opportunities to improve send timing and channel selection. The results were measured using a weighted composite engagement score that combines digital engagement and prescription activity, allowing life sciences customers to bridge optimization across clinical and digital outcomes:

Experimentation can uncover opportunities that predictive models alone may miss. Existing models predicted audiences would respond better to afternoon sends, but GrowthLoop’s experimentation and AI decisioning uncovered that morning sends delivered a 13% higher weighted composite engagement score than afternoon sends.Channel selection can make a meaningful difference for specific audiences. Digital display advertising, such as banner ads on websites or apps, delivered a 52% higher weighted composite engagement score per user than email for audiences sourced through peer-to-peer (P2P) programs. Other audience sources showed no difference, indicating an opportunity to shift P2P-sourced audiences toward display advertising rather than change the channel mix across all audiences.

GrowthLoop’s enhanced capabilities are especially important in highly regulated industries, where teams must adhere to detailed restrictions for both messaging cadence and data security. With its warehouse-native architecture and journey orchestration tool, GrowthLoop was able to support the team’s specific goals while maintaining industry compliance.  

Connecting immediate signals with longer-term objectives

To evaluate campaign performance, customers can use a weighted score combining email views, email engagement, and prescription activity. Prescription activity receives the greatest weight because it is the primary business objective. But prescription data is often delayed by months and provides less frequent feedback, so GrowthLoop’s multi-objective optimization also uses digital engagement signals to help clients learn from campaigns as they progress.

That learning builds across repeated interactions. Each time a healthcare professional moves through a campaign journey, the system uses those learnings to inform subsequent choices, including send timing, the interval between touchpoints, and channel selection.

“Frontier AI has made remarkable progress in math and coding because those fields are verifiable: you can run tests at scale and check the proof. But AI can’t solve enterprise growth yet, because — unlike math and coding — marketing is not a verifiable domain.” said Anthony Rotio, Co-Founder and Co-CEO of GrowthLoop. “Historically, marketing has lacked causal evidence of what actually engages a customer or changes an action. But these results demonstrate how GrowthLoop is making marketing verifiable and applying causal learnings to move the needle for the business.”

GrowthLoop’s composable CDP foundation brings audience segmentation, customer journey orchestration, campaign activation, and performance analysis together on the data cloud. With AI Studio, Composable AI Decisioning, experimentation tools, and newly released Engagement Suite, it creates a Compound Marketing Engine — a closed-loop marketing system that learns and improves with every campaign.

Building on this closed-loop system, GrowthLoop’s roadmap includes real-time decisioning for known and unknown audiences using customer context already available in the data warehouse, with the ability to incorporate new in-session behavior planned for a later phase.

See this case study on stage live at Martech World Forum, New York, November 4-5, 2026

Rotio and EVERSANA’s Head of AI Agency Abid Rahman will showcase their work together at Martech World Forum, in a session titled “AI is superhuman at math and code. Why not marketing?” They will share practical starting points for experimentation and explain how they built the Causal Context Graph to support AI-powered campaign optimization.

About GrowthLoop

GrowthLoop is a pioneer in composable, AI-powered marketing on the data cloud, featured on G2 by its customers as a momentum leader with the best ROI for enterprise. The GrowthLoop agentic, composable CDP drives compound growth by accelerating the marketing cycle using agentic AI powered by your enterprise cloud data. Working alongside AI agents, teams use GrowthLoop to translate customer data into precise audiences and activate those audiences across real-time customer journeys, measuring and improving performance through always-on analysis — all with zero data movement. Thousands of marketers at enterprises like Costco, Albertsons, Fanatics, and Ford rely on GrowthLoop to bring their AI strategy to life, grow faster with every experiment, personalize every customer touchpoint, and drive rapidly compounding results.

About EVERSANA

EVERSANA® is the leading independent provider of global services to the life sciences industry. The company’s integrated solutions are rooted in the patient experience and span all stages of the product life cycle to deliver long-term, sustainable value for patients, prescribers, channel partners, and payers. The company serves more than 650 organizations, including innovative start-ups and established pharmaceutical companies, to advance life sciences solutions for a healthier world. To learn more about EVERSANA, visit eversana.com.

Media contact
press@growthloop.com 

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SOURCE GrowthLoop