
Compliance work eats engineering time. Hyperproof exists to give that time back by automating the parts of GRC that don't need a human: pulling evidence out of GitHub, Jira, ServiceNow, Snyk, and cloud storage on a schedule, running recurring tests against high-frequency controls, and kicking off a task automatically the moment something fails instead of waiting for the next audit cycle to find out.
Under the hood, Hyperproof maps one control to 160+ frameworks (SOC 2, ISO 27001, HIPAA, NIST, and others), so a control tested once can satisfy several standards instead of forcing teams to rebuild the same work per framework. AI agents handle the first pass on evidence review and gap-flagging, leaving humans to make the actual judgment calls rather than hunting down documentation.
Teams using it report cutting audit prep by roughly 350 hours a year, a 66% drop in duplicate controls, and about $150K saved annually on control orchestration. It also scales to messier org charts, with the ability to scope controls by business unit or entity instead of flattening everything into one program.
Built in 2018 out of the Seattle area, Hyperproof is used by engineering and security-heavy orgs like Reddit, Fortinet, Appian, and Outreach that are tired of treating compliance as a manual, spreadsheet and email process and want it to run more like the rest of their infrastructure: automated, monitored, and auditable.
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D&B Hoovers is a sales intelligence and revenue workflow platform that helps organizations identify, prioritize, and act on buying signals. By combining trusted company and contact data with buyer intent, website engagement insights, trigger events, and AI-powered assistance, D&B Hoovers helps revenue teams uncover opportunities sooner and make more informed decisions throughout the sales cycle.
Built on the Dun & Bradstreet Data Cloud, D&B Hoovers provides comprehensive business intelligence, including company profiles, corporate family structures, decision-maker contacts, industry information, financial insights, company news, and market intelligence. Advanced search and segmentation capabilities allow users to identify high-potential accounts and build targeted prospect lists based on business characteristics, growth indicators, and buying signals.
D&B Hoovers integrates into existing sales and revenue workflows, helping teams reduce research time, prioritize outreach, monitor account activity, and engage buyers with greater relevance. Real-time business triggers and account intelligence help organizations understand changing customer needs, identify opportunities, and focus efforts on the accounts most likely to convert.
Whether supporting prospecting, account planning, pipeline generation, or revenue operations, D&B Hoovers provides the trusted intelligence and contextual insights needed to help teams work more efficiently and drive better business outcomes.
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Orange Slice
Orange Slice is an innovative platform powered by AI that streamlines go-to-market (GTM) workflows, assisting sales teams in identifying, qualifying, and engaging with high-intent customers by transforming disjointed data into automated and actionable pipelines. This tool operates like a customizable “sales spreadsheet,” allowing users to articulate their ideal customer profile or workflow using straightforward language, after which it automatically constructs organized columns, enrichment rules, and execution tasks across numerous records. In contrast to conventional tools that depend on unchanging lists, Orange Slice leverages AI agents along with a tailored web scraping system to consistently monitor various sources, including company websites, job listings, news articles, and social media, to detect indicators that a prospect is currently in the market. The system aggregates and ranks these indicators to prioritize leads effectively, enabling teams to concentrate their outreach on accounts that are most likely to convert, rather than relying on broad, generic lists. By doing so, sales teams are empowered to improve their efficiency and effectiveness in closing deals.
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Agent Jesse
Agent Jesse by Floworks.ai is a live-internet prospecting agent that helps sales teams find leads who are showing timely signs of buying intent. Instead of searching a stored database, Agent Jesse crawls the web in real time to identify companies, events, filings, announcements, reviews, hiring signals, and other sources that reveal fresh opportunities. Users can describe their ideal customer profile in natural language, and the agent searches for companies that match the prompt. The platform can also find decision-makers at target accounts, suggest relevant roles, and enrich each lead with verified contact data. Enrichment includes emails, direct phone numbers, LinkedIn profiles, company intelligence, revenue, funding, headcount, tech stack, and recent activity. Agent Jesse also generates outreach angles based on what it found, helping teams personalize messages with current context. Sales teams can use it for use cases such as event-based lead generation, pre-construction lead discovery, hiring-signal prospecting, app-review monitoring, and lookalike account discovery. Leads can be exported as CSV, with CRM and workflow integrations planned for tools such as Zapier, HubSpot, Salesforce, Floworks, Instantly, and Google Sheets. By combining real-time web crawling, AI prospect discovery, contact enrichment, and contextual outreach intelligence, Agent Jesse helps teams find leads that traditional tools may not surface.
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