Kevin C. Wang

RELAI powers self-improving AI agents. Using its lifelong optimization engine for agents, RELAI automatically turns failures, feedback, and real-world outcomes into structured lessons that continuously improve agent behavior over time. The result is an agent that gets better without losing what already works.

Genesis Computing delivers autonomous AI Data Agents built for enterprise data engineering teams. The agents research source systems to understand schemas and business logic, design field mappings from bronze source data to gold analytics targets, write and test dbt models and data pipelines, create comprehensive documentation, commit code to Git with pull requests, monitor pipeline execution, and automatically fix errors while continuously learning from your environment. Founded in 2024 and built by early Snowflake employees Matt Glickman and Justin Langseth, with decades of experience building enterprise data platforms at Snowflake and Goldman Sachs, Genesis helps data engineering teams accelerate work that used to take months down to hours. Genesis Data Agents start by building a digital twin of your data infrastructure to understand every table, pipeline, dependency, and integration, and then use that context to execute complete workflows from discovery through deployment. Organizations across financial services, healthcare and life sciences, media, retail, manufacturing, and technology rely on Genesis to reduce pipeline development cycles by up to 95%, cut manual work by 60-70%, and free hundreds of engineering hours from repetitive tasks. Genesis runs as a Snowflake Native Application or deploys in AWS, Azure, Databricks, or Docker environments, ensuring your data never leaves your control while working seamlessly with dbt, Airflow, and your existing data stack. Genesis follows proven Blueprint methodologies with built-in quality gates and validation steps to ensure reliable, production-grade outcomes every time. Join data leaders already multiplying their teams capacity with intelligent agents that understand enterprise data complexity and deliver measurable results from day one.

Enterprise AI product & research company, building long-horizon reasoning models and agents. Our first product, Agentic Accounting, executes Financial Audit, Billing Audit, and Revenue Leakage Detection.

RapidFire AI speeds up deep learning at scale by 5x or more and enables data scientists to train and control multiple model configurations simultaneously for any data or model size.

In sharp contrast to one-size-fits-all, legacy CWPP and container detection and response solutions, RAD takes a custom, behavioral approach to cloud native detection and response that can counter evolving threats while sharpening inputs into shift-left and posture management.

Trilio is a leader in cloud-native data protection for Kubernetes and OpenStack environments. Our Trilio technology is trusted by cloud infrastructure operators and developers for backup and recovery, migration and application mobility. Customers in telecom, defense, automotive and financial services leverage Trilio to recover from disasters, migrate workloads, move workloads to new infrastructure and migrate to new software distributions.

Keebo is the AI agent for cost + performance on Snowflake & Databricks. It watches every query, right‑sizes warehouses, tunes parameters, and reroutes workloads in real time. Customers see 26.95 % average savings while meeting every SLA. Run it in full autopilot for hands‑free optimization or approval‑only mode for total control. Pricing is pay‑as‑you‑save (aka success‑based) so there’s zero pricing risk—no savings, no cost. Because Keebo accesses metadata only, there’s also zero security risk. Trusted by Costco, Komodo Health, Freshworks, and Allbirds, Keebo delivers constant assurance of efficiency and maximum ROI on your data‑cloud investment.

Data pipelines are mission-critical but they also break often. Data pipeline problems often eat up hours, if not days, in identifying and solving intricate issues. Linea dramatically reduces the amount of time debugging, validating and deploying fixes to production pipelines, all while making them more resilient going forward. Our origins stem from UC Berkeleys RISELab, where the founders of Databricks came from. Our team has a wealth of industry experience in MLOps from leading AI organizations such as LinkedIn, Google, Scale AI, Domino Data Lab, Microsoft, and NASA. Were proud to have the support of renowned advisors and investors, including the co-founders of Databricks and Kaggle, as well as the former US Chief Data Scientist. Weve been fortunate to receive a significant amount of seed stage funding from top-tier venture funds.

Bobsled is a cross-cloud data sharing platform that makes it painless to share data between any data lake or warehouse. We enable product and data teams to share data products directly into a customer or partner’s preferred analytical environment without ever leaving their own.

An AI-based data quality and observability platform natively designed for open architecture. No Sampling, no blind spots Effortlessly process your entire data, identifying column value level issues. Our platform automatically excludes bad data from AI workloads, saving you time and resources. Open Architecture, design for AI workloads Validate and monitor raw data in S3, GCS, and ADLS stored in open formats like Apache Iceberg, Delta, and Hudi. Say "NO" to cloud cost surge Natively designed as a metric monitoring system, Telmai delivers high-performance and elastic scale at very low cloud cost. Secured, zero-copy data Data will only stay in your cloud storage. Telmai is a fully managed service running within your VPC account.

ChaosSearch transforms customers cloud storage (e.g. AWS S3) into a high performant stream-based Search+SQL+GenAI analytical database for use cases such as: - Observability - Security Lakes - Application Insights ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing Full Text Search, Relational SQL and GenAI capabilities in one unified offering. Want more content? Subscribe to our YouTube Channel - https://www.youtube.com/@chaossearch-io/

retrain.ai is a talent intelligence platform designed to help enterprises hire, retain, and develop their workforce, intelligently. Leveraging the power of artificial intelligence and real-time market data, enterprises unlock key talent insights and optimize the hiring and upskilling of their workforce. For employees, our Talent Intelligence Platform seamlessly assesses the skills they have today, the skills they need for the future and delivers the resources they need to get them there. To book a demo today visit: www.retrain.ai/book-a-demo/

Ascellus is the leading behavioral health provider focused on helping injured workers restore their physical and emotional wellbeing. Ascellus delivers customized treatment options through evidence-based treatment protocols through a national network of over 1,500 licensed clinicians, reducing costs for workers' compensation claims and empowering injured workers to return to work sooner.

ClosedLoop is healthcares data science platform. We make it easy for healthcare organizations to use AI to improve outcomes and reduce costs. Purpose-built for healthcare, ClosedLoop combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates. Customers use ClosedLoops Explainable AI to drive clinical excellence, operational efficiency, value-based contracts, and enhanced revenue. Example applications of our technology include: • Predicting admissions / readmissions • Predicting total utilization / total risk • Preventing ED over-utilization • Reducing out of network utilization • Avoiding appointment no-shows • Predicting chronic disease onset or progression • Improving clinical documentation and reimbursement … and dozens more ClosedLoop is proud to be the winner of the CMS AI Health Outcomes Challenge and was named Best in KLAS for Healthcare AI: Data Science Solutions in 2022 and 2023. Weve also been named a 2023 Top Startup to Work For by Built In. If you are interested in contacting our team, please email info@closedloop.ai

RELAI powers self-improving AI agents. Using its lifelong optimization engine for agents, RELAI automatically turns failures, feedback, and real-world outcomes into structured lessons that continuously improve agent behavior over time. The result is an agent that gets better without losing what already works.

Genesis Computing delivers autonomous AI Data Agents built for enterprise data engineering teams. The agents research source systems to understand schemas and business logic, design field mappings from bronze source data to gold analytics targets, write and test dbt models and data pipelines, create comprehensive documentation, commit code to Git with pull requests, monitor pipeline execution, and automatically fix errors while continuously learning from your environment. Founded in 2024 and built by early Snowflake employees Matt Glickman and Justin Langseth, with decades of experience building enterprise data platforms at Snowflake and Goldman Sachs, Genesis helps data engineering teams accelerate work that used to take months down to hours. Genesis Data Agents start by building a digital twin of your data infrastructure to understand every table, pipeline, dependency, and integration, and then use that context to execute complete workflows from discovery through deployment. Organizations across financial services, healthcare and life sciences, media, retail, manufacturing, and technology rely on Genesis to reduce pipeline development cycles by up to 95%, cut manual work by 60-70%, and free hundreds of engineering hours from repetitive tasks. Genesis runs as a Snowflake Native Application or deploys in AWS, Azure, Databricks, or Docker environments, ensuring your data never leaves your control while working seamlessly with dbt, Airflow, and your existing data stack. Genesis follows proven Blueprint methodologies with built-in quality gates and validation steps to ensure reliable, production-grade outcomes every time. Join data leaders already multiplying their teams capacity with intelligent agents that understand enterprise data complexity and deliver measurable results from day one.

Enterprise AI product & research company, building long-horizon reasoning models and agents. Our first product, Agentic Accounting, executes Financial Audit, Billing Audit, and Revenue Leakage Detection.

RapidFire AI speeds up deep learning at scale by 5x or more and enables data scientists to train and control multiple model configurations simultaneously for any data or model size.