
Process Street is the Compliance Operations Platform built for teams that need to move fast without breaking standards. It combines document control, workflow automation, and AI-powered oversight in a single system so every policy is followed, every step is tracked, and every audit is effortless.
Unlike legacy GRC tools or static SOP docs, Process Street turns compliance into a living system. Policies are documented in governed, version-controlled Pages. Those policies are executed through dynamic workflows with built-in task assignment, approvals, and forms. Every action is logged, monitored, and optimized in real time by Cora, our AI compliance agent.
Used across industries like financial services, real estate, healthcare, and manufacturing, Process Street helps teams automate employee onboarding, streamline audits, manage policy updates, enforce vendor reviews, and run critical processes at scale.
No code required. No micromanagement. Just proof that work gets done right, every time.
Companies like Salesforce, Colliers, Drift, and Hartford Healthcare trust Process Street to eliminate busywork, improve operational visibility, and reduce compliance risk across the business. With native integrations, role-based access, audit trails, and ISO-aligned workflows, it is the platform that makes compliance a competitive advantage.
From onboarding to audits, Process Street is how high-stakes teams enforce standards, automate execution, and prove compliance by default.
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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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Attestly
Attestly operates as an advanced AI governance and compliance platform that automates the transformation of operational execution traces into documentation that meets the standards of the EU AI Act. Tailored for companies, AI developers, and compliance professionals, the platform actively collects real-time execution logs from AI agents and produces verifiable documentation to ensure adherence to Article 12 requirements.
Notable Features Include:
- Automated Article 12 Compliance: Real-time capture of AI agent trace data is conducted continuously.
- Zero-Trust Cryptographic Ledger: This feature utilizes append-only ledgers, cryptographic hash chaining, and Merkle tree proofs to ensure the immutability of the evidence collected.
- Regulator-Ready Auditing: The platform offers independent WASM verifiers that facilitate transparent validation by third parties while safeguarding sensitive payload data.
- Continuous Runtime Visibility: Attestly eliminates the need for periodic manual audits by implementing automated logging of decisions and ongoing risk monitoring, enhancing overall operational transparency.
The result is a comprehensive solution that not only streamlines compliance but also bolsters trust in AI operations.
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Kosmoy
Kosmoy helps enterprise teams answer practical questions about production AI: which systems are running, who owns them, what they cost and which controls apply. Its inventory records AI systems, models, agents and MCP servers with ownership and risk assessments. Monitoring tracks usage, costs and behaviour across applications. The AI Gateway applies access controls, guardrails, routing and logging to LLM, MCP and agent-to-agent traffic. Action Capsule provides runtime isolation and a kill switch for autonomous agent actions. Kosmoy runs in the customer Kubernetes environment, in the cloud or on premises. AI platform, security, risk and compliance teams can use the same inventory and operational evidence when reviewing AI use cases.
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