CloudZero helps businesses optimize cloud spend with full visibility into costs—so they can reduce wasteful spending and improve their unit economics. Unlike other solutions, we take an engineering-led approach to cost optimization, helping teams understand what drives 100% of their operational cloud spend, empowering them to reduce risk, minimize waste, and maximize profit.
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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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SignaKit
SignaKit serves as a comprehensive platform for engineering teams, providing features like feature flags, A/B testing, and experimentation, which empower them to manage software releases effectively without the constraints of per-seat fees or vendor lock-in. The evaluation of flags takes place locally within the application process, utilizing a cached configuration delivered via AWS CloudFront, ensuring swift sub-millisecond evaluations that eliminate the need for network roundtrips during critical operations. Additionally, the bucketing mechanism is deterministic through the use of MurmurHash3, guaranteeing that users consistently receive the same variant across different sessions and devices. Teams have the capability to implement both boolean and multivariate flags, configure percentage rollouts, target audiences based on various user attributes, and activate instant kill switches for immediate rollbacks in urgent situations. The integrated A/B testing feature assesses statistical significance with customizable experiment snapshot intervals, while the multi-armed bandit optimization feature adeptly directs traffic towards the winning variant as data is gathered — all of these functionalities are available on every plan, including the Free option. This makes SignaKit an ideal solution for teams seeking flexibility and reliability in their software release processes.
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Spresso
Spresso offers a cutting-edge, data-centric approach to pricing strategy that harnesses the power of AI, enabling businesses to make informed pricing decisions through real-time analytics and insights tailored to various objectives. By employing a multi-arm bandit framework, companies can rapidly determine the ideal pricing for their offerings, allowing for agile adjustments in response to shifts in customer behavior and market dynamics. This innovative experimentation technique ensures exceptional pricing accuracy, helping to boost conversion rates while safeguarding profit margins during promotional efforts. Furthermore, Spresso helps businesses comprehend the effects of pricing adjustments on product demand, facilitating more strategic and informed pricing choices. In an ever-evolving market landscape, staying ahead with such tools can significantly enhance a company's competitive edge.
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