Modernize fast, reduce integration work, and free up your team to focus on higher-value initiatives with CWAN.
Scale smarter, collaborate better, and stay ahead with technology built for modern investment operations.
Break down silos with automated ingestion, validation, and normalization across the front, middle, and back office — on a single cloud-native investment platform.
Enable secure, client collaboration with Snowflake-powered data sharing and one multi-tenant SaaS architecture powering every team, tool, and view.
Unify public, private, and securitized assets in a single system to monitor exposures, run stress tests, and analyze firmwide risk in real time.
Scale with confidence. Add asset classes, markets, and strategies with zero infrastructure overhead.
Customize models, workflows, and analytics with an open platform that’s extensible by design — no vendor lock-in, no code rewrites, just scalable control.
Connect CWAN to your existing tools and data ecosystem with open APIs, pre-built adapters, and data feeds — no custom plumbing required.
Support complex strategies, risk modeling, and regulatory reporting — all pre-configured in a scalable, cloud-native architecture.
CWAN combines GenAI with a cloud-native investment platform and Snowflake to unlock firmwide productivity, faster insights, and stronger decision support.
John Stecher Chief Technology Officer, Blackstone
Sophie Le Berre Technical and Accounting Director, GGVie
Dirk Manelski Managing Director, Chief Technology Officer, PIMCO
Modernize fast, reduce integration work, and free up your team to focus on higher-value initiatives with CWAN.
This post goes beyond vibe coding and shows practical ways to work with AI coding agents to produce better-engineered software products in real projects.
Join our economist Matthew Vegari, Head of Research at CWAN, as he challenges common assumptions about this unique business cycle.
Software engineering is changing fast in the age of AI, and the way we design, build, and ship software is evolving with it. This multi-part series dives into practical techniques for using AI to boost productivity, keep code quality high, and help your teams move faster—without losing control of your architecture or standards.