Compare Greenboard vs. Haast

Greenboard is an innovative, cloud-based platform that harnesses AI to serve as a comprehensive operating system for regulatory compliance tailored to the requirements of financial firms governed by the SEC and FINRA. By merging various often-disparate tools into a cohesive dashboard, it efficiently manages essential functions such as archiving, supervision of communications, compliance workflows at both the firm and employee levels, vendor compliance, marketing content assessments, trade testing, and meticulous record-keeping that is audit-ready. Utilizing its proprietary “Greenboard Go” AI engine, which seamlessly integrates with all data within the firm, it proactively identifies risks, highlights compliance discrepancies, and aids in maintaining uniform internal policies. The platform's user interface and underlying architecture prioritize both usability and security, incorporating role-based access controls, robust data infrastructure, and adherence to SOC2-Type 2 standards to protect data privacy and ensure compliance with regulatory requirements. Furthermore, this comprehensive approach not only streamlines operations but also fortifies the organization’s defenses against potential compliance violations.

Haast is an AI-powered compliance engine that helps enterprises eliminate manual marketing reviews and move faster with confidence. It uses AI agents to automatically detect and resolve regulatory and brand risks across content, websites, and social channels. By learning each company’s risk tolerance, Haast ensures consistent, policy-aligned decisions without slowing teams down. Marketers can check and fix content before it goes live, while legal teams gain faster, more reliable oversight without being overwhelmed by approvals. Haast works across text, images, PDFs, video, and web content, supporting both pre-launch checks and continuous monitoring of live assets. Embedded directly into existing workflows, it transforms compliance from a bottleneck into a scalable, automated system.