4.5 out of 5 stars
(55 Ratings)
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
Learn more about StackAI
4.5 out of 5 stars
(1498 Ratings)
Bid Faster, Win More, and Build Smarter with STACK Takeoff & Estimate and STACK Build & Operate. From office to field, STACK speeds up your processes so you can stay competitive and eliminate uncertainty. Save time with STACK's powerful, time-saving AI features. Accelerated by AI. Driven by You.
Features:
- Fast, Accurate Takeoffs Powered by AI and Your Expertise
- Regional Cost Data & Detailed Estimates
- Streamlined Workflows & Document Control
Create a free account or schedule a demo today!
Learn more about STACK
Atono
Teams don't have a coding problem anymore. They have a context problem. AI made producing software cheap, which exposed product context as the scarce resource — and agents can only act on context they can reach. Atono is a product engineering platform that keeps product context connected to the work. Stories and epics, Scrum and Kanban workflows, feature flags, and real usage data live in one system. The story is the hub: a single story carries its acceptance criteria, the flag controlling its rollout, the usage data proving it worked, and the AI context agents read. In a conventional stack those four live in four separate products, and context is destroyed at every handoff. A locally-run MCP server exposes 41 tools to Claude Code, Cursor, VS Code/Copilot, Windsurf, and Codex, so agents work from what your team decided instead of inferring it from code. Best fit: post-MVP SaaS teams of 25-250 engineers. Free for up to 25 users. Starter $19/user/month. Growth $39/user/month.
Learn more about Atono