KrakenD is a high-performance API Gateway optimized for resource efficiency, capable of managing 70,000 requests per second on a single instance. The stateless architecture allows for straightforward, linear scalability, eliminating the need for complex coordination or database maintenance.
It supports various protocols and API specifications, with features like fine-grained access controls, data transformation, and caching. Unique to KrakenD is its ability to aggregate multiple API responses into one, streamlining client-side operations.
Security-wise, KrakenD aligns with OWASP standards and doesn't store data, making compliance simpler. It offers a declarative configuration and integrates with third-party logging and metrics tools. With transparent pricing and an open-source option, KrakenD is a comprehensive API Gateway solution for organizations prioritizing performance and scalability.
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StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering.
With StackAI you can:
• Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls
• Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow
• Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls
• Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing
• Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise
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Two Hat
Custom neural network trained to triage reported content. For years, social networks have relied on users to report abuse, hate speech, and other types of online harms. Reports are sent to moderation teams who review each abuse report individually. Many platforms receive thousands of reports daily, most of which can be closed without taking action. Meanwhile, reports containing time-sensitive content — suicide threats, violence, terrorism, and child abuse — risk going unseen or not being reviewed until it’s too late. There are legal implications as well. The German law known as NetzDG says that platforms must remove reported hate speech and illegal content within 24 hours — or face fines of up to 50 million euros. Similar laws concerning reported content are being introduced in France, Australia, the UK, and across the globe. With Two Hat’s reported content product Predictive Moderation, platforms can train a custom AI model on their moderation team’s consistent decisions.
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