
StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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Process Street is the Compliance Operations Platform that helps fast-moving teams in regulated industries enforce standards, automate execution, and prove compliance with confidence. It brings document control, workflow automation, and real-time oversight into one unified platform so policies are not just written, they are followed and verified.
With Process Street, teams can create version-controlled SOPs and policies using Pages, link them directly to automated workflows, and ensure every task, approval, and data point is tracked with audit-ready logs. Cora, the AI compliance agent, monitors execution in real time, flags issues, and recommends improvements, turning manual oversight into continuous control.
Whether you need to onboard employees, prepare for audits, manage policy changes, or enforce vendor compliance, Process Street gives you the tools to do it faster and without the risk of missed steps or tribal execution. Automate form collection, task assignments, escalations, and approvals with no code. Keep teams aligned, even as you scale.
Used across financial services, real estate, healthcare, and manufacturing, Process Street supports compliance with standards like ISO 9001, SOC 2, SOX, HIPAA, and FDA CFR Part 11. Thousands of teams at companies like Salesforce, Colliers, Hartford Healthcare, and Drift use Process Street to reduce audit prep time, streamline training, and build systems that run without micromanagement.
Every workflow is structured. Every policy is enforced. Every action is proven. With native integrations, role-based access, automated evidence capture, and AI-powered insights, Process Street replaces checklists, spreadsheets, and siloed tools with a closed-loop system of control.
If you run high-stakes processes and need to stay compliant without slowing down, Process Street is built for you.
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Realm
Realm is an innovative AI-driven knowledge and workflow platform specifically designed for revenue teams, enabling rapid access to organizational information, automating RFP and questionnaire processes, and creating custom AI agents to handle various sales, support, and product tasks. By seamlessly integrating with widely used tools such as Slack, Notion, Jira, Confluence, HubSpot, Zendesk, Google Drive, and more, Realm boosts productivity by delivering answers, automating interactions, and managing tasks through a unified interface. Key features of Realm include a searchable knowledge base, a real-time “Assistant” chat for quick responses, and “RFP AI” to simplify the automation of RFIs, RFQs, and security questionnaires. Moreover, users can design personalized “Agents” for functions like preparing for meetings, reviewing deals, providing deal-desk support, or resolving support inquiries. Realm places a strong emphasis on secure enterprise architecture, offering single-tenant deployment, data encryption in transit and at rest, strict enforcement of permissions, and regular penetration testing to maintain data security and compliance. This commitment to security and operational efficiency makes Realm a vital asset for revenue teams striving to streamline their workflows and foster better collaboration. Ultimately, Realm not only addresses the immediate needs of revenue teams but also equips them with the tools to adapt and thrive in a rapidly evolving business landscape.
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Metorial
Metorial is an open-source integration platform specifically designed for developers, streamlining the creation, deployment, monitoring, and scaling of agentic AI applications by connecting models to a variety of tools, data sources, and APIs via the Model Context Protocol. With an extensive library featuring over 600 validated MCP “servers,” developers can effortlessly augment their agents with capabilities such as interfacing with platforms like Slack, Google Calendar, Notion, APIs, databases, and other systems, all achievable with minimal effort through just a few clicks or a single API call. The serverless architecture of Metorial is crafted for scalability, allowing the deployment of MCP servers with merely three clicks or an API request, thus accommodating "zero to millions" of requests while offering built-in observability features that encompass comprehensive logging, tracing, session replay, and error notifications. Furthermore, developers have access to a complete suite of SDKs, including Python and TypeScript, ensuring that every interaction is trackable, which enables teams to efficiently audit and enhance agent performance. Metorial can be utilized both on-premises and via cloud solutions, offering enterprise-level security alongside support for multi-tenant architectures, making it a versatile solution suitable for a wide array of applications. This adaptability not only allows organizations to customize the platform according to their specific requirements but also ensures that stringent security measures are consistently maintained throughout its use. As a result, Metorial positions itself as an essential tool for developers looking to leverage AI in a secure and scalable manner.
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