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StackAhead.ai — Architecting the Agentic Enterprise
The definitive resource for agentic enterprise architecture. Protocols, orchestration patterns, governance frameworks, and the stack powering the post-API era.
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85 % |
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Agent-Ready Web - The Semantic Discovery Layer for AI Agents
An open standard for making websites accessible and operable to AI agents, while preserving the human web experience. Implement ARW with llms.txt, machine vi...
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85 % |
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Agentic AI Security Platform | Outerlimit
Outerlimit discovers, observes, and enforces policy across every AI agent in your enterprise — deterministically, at runtime, and at scale.
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84 % |
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Theazo — Infrastructure for production AI agents
Theazo is the control plane for AI agent compute: one SDK and API to run agents on isolated sandboxes with workflows, fleets, teams, approvals, scheduling, k...
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84 % |
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AI Agentic Mesh - Enterprise Agent Infrastructure
The first cloud-native platform for agent discovery, orchestration, and governance at enterprise scale.
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84 % |
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A2ABase — The Infrastructure Layer for Agent-to-Agent Communication
A2ABase provides the foundation for building A2A-compliant agents. Agent discovery, message routing, task management, and cross-vendor interoperability — all...
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84 % |
|
Deepak Kumaran T S | AI Engineer
AI/Backend engineer building agentic systems, GenAI services and event-driven infrastructure on Azure and AWS. Author of MassClaw and Weavory.ai.
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84 % |
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Compantic — Agentic AI Ecosystem
Compantic is an agentic AI ecosystem that builds AI-powered products — from strategy to shipping, end-to-end.
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84 % |
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Wingback Security: AI Detection & Response for Agents, Models & MCP
Wingback secures enterprise AI across endpoints, cloud, and your own software. Discover, defend, red-team, and govern AI agents, models, and MCP toolchains a...
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84 % |
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AgentRails - AI Agent Infrastructure Consulting
We build AI agent infrastructure. MCP servers, x402 payments, agent governance, and Microsoft 365 integration. From architecture to production.
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84 % |
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Seabay — The Network Layer for AI Agents
Give your agent the power to discover, coordinate, and collaborate safely. Seabay is the networked collaboration layer for AI agents.
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84 % |
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Open-Dome — The Infrastructure Layer for the Agentic Era
Open-Dome is the plug-and-play, enterprise-grade infrastructure suite for building secure Agent-to-App bridges. Zero-trust security, multi-chain Web3, real-t...
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84 % |
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Tolmo: AI security agents for your production stack
Autonomous security agents on a live knowledge graph of your code, cloud, and vendors. Tolmo finds vulnerabilities, misconfigurations, and threats, then ship...
|
83 % |
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Armitive — Agentic AI Infrastructure & Services
Armitive builds the Agentic Framework — production-grade AI infrastructure powering enterprise products and custom agentic systems on Google Cloud Platform.
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83 % |
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Runloop - Your AI Agent Accelerator
Launch AI agents on secure code sandboxes, refine with evaluations, and productionize on AI infrastructure built for enterprise scale.
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83 % |
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Octic — The AI control plane for every agent you run
Octic keeps one live map of every AI agent, MCP server, coding agent, and package you run, built from your APIs, your network traffic, and sensors on each ho...
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83 % |
|
Code To Cloud | Agentic DevOps & AI Platform Engineering
Ship it. Scale it. Azure AI platforms, agentic DevOps, developer experience, and app modernization for enterprise teams — fractional CTO advisory too.
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83 % |
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Code To Cloud | Agentic DevOps & AI Platform Engineering
Ship it. Scale it. Azure AI platforms, agentic DevOps, developer experience, and app modernization for enterprise teams — fractional CTO advisory too.
|
83 % |
|
AgentUV — AI research
AgentUV researches post-training for AI agents used in scientific discovery: how to train them, how to build harnesses around them, how they learn a field, a...
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83 % |
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Cerberus: The Trust Layer for Agentic Systems | AI Agent Security
The trust layer for agentic systems. Cerberus watches every AI agent and API call, catches compromised agents, and gets them quarantined in seconds.
|
83 % |
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