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45
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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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developer llms-txthostingaipaymentecommerceposapisecurityautomation

Agentic Signals

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ai-plugin.json
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OpenAPI Spec
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Structured API
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Schema.org Markup
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MCP Server
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Agentic Ready 45/100

            

llms.txt Content

# AISquared > AISquared provides the control plane for enterprise AI systems. Its UNIFI platform connects enterprise data, models, agents, workflows, and applications; selects the right model or tool for each request; enforces access, context, policy, approval, and audit controls during execution; and measures cost, quality, adoption, and business results. AISquared combines three core capabilities in one platform: UNIFI for control and orchestration, the Bolt model family for efficient enterprise AI, and the Software Factory for building governed workflows and full-stack applications from natural language. AISquared serves commercial enterprises, regulated industries, federal agencies, government partners, and mid-market businesses that need to move AI from isolated pilots into secure, measurable production use. ## Company Summary AISquared helps organizations operate AI as a managed system rather than a set of disconnected copilots, models, agents, and applications. The platform addresses three common problems: - AI economics: Frontier models are often used for routine work, token spending is hard to assign to a team or business result, and AI costs grow across many tools. - Shadow AI: Teams adopt models, agents, RAG tools, and AI add-ons faster than security, legal, and compliance teams can control them. - Tool sprawl: Separate products for data integration, retrieval, workflow automation, governance, observability, model access, and application delivery create custom integration work and unclear accountability. AISquared brings the full AI operating path into one system: 1. Connect approved enterprise data, systems, APIs, models, and tools. 2. Select the right model, agent, tool, or retrieval path based on task, policy, data sensitivity, cost, latency, and required quality. 3. Build workflows, agents, and full-stack applications through visual tools or natural-language instructions. 4. Enforce access rules, context limits, model poli