Agentic AI provides an AI‑driven Site Reliability Engineering platform that automates incident investigation, root‑cause analysis, and remediation to cut mean time to resolution by up to 91%. Its pre‑built and custom AI agents integrate with existing monitoring stacks, offering predictive insights, blast‑radius visualizations, and automated post‑incident reporting for SRE and DevOps teams. Customers such as Google, VMware, and Bose use the system to reduce incident frequency and operational costs.
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Top 50 Agentic Ai
Discover the top 50 Agentic Ai startups. Browse funding data, key metrics, and company insights. Average funding: $7.2M.
Showing 10 startups matching the selected criteria.
Agentic AI offers a no‑code platform that lets revenue teams build and deploy AI agents to guide deals, engage prospects, and automate routine sales actions. The system integrates with CRM and engagement tools, providing real‑time recommendations, workflow automation, and predictive insights to boost productivity and win rates.
Agentic AI offers FLOW, an AI-native orchestration engine that ingests multi‑source, real‑time data, applies predictive modeling, and delivers actionable intelligence across enterprise workflows. By connecting fragmented data, policies, and processes into a unified decision fabric, FLOW enables autonomous outcomes such as real‑time execution, predictive prioritization, and conversational AI interactions. The platform is designed to break down silos, provide complete visibility, and optimize operational readiness for complex business environments.
Provides a high-accuracy language model for AI agents by combining open-source models with online reinforcement learning, achieving over 77% accuracy on complex multi-step reasoning and tool-calling tasks. This approach significantly outperforms state-of-the-art models like GPT-4 and Claude 3.5, which drop to 60-65% accuracy in similar scenarios. Compatible with existing pipelines via an OpenAI SDK-compatible API, it requires no modifications to integrate.
Agentic provides an enterprise AI platform that lets organizations build, deploy, and manage autonomous AI agents to automate and coordinate tasks across HR, IT, finance, sales, and other functions.
Recursion utilizes agentic AI to unify enterprise data into a single source of truth, enabling real-time access to actionable insights through natural language queries in platforms like Slack and Teams. The technology automates complex workflows and uncovers non-obvious trends, enhancing decision-making and operational efficiency across various business functions.
Gopf is an AI platform designed for competitive intelligence in the manufacturing sector, utilizing guided analytics and comparative search to extract actionable insights from unstructured market data. It enables manufacturers to quickly identify market trends and signals, reducing the time to gain insights by 90% and significantly lowering analysis costs.
Agentic AI offers ReliaPilot, an insurance‑focused platform that sits atop existing agency management systems (AMS) and connects to CRMs, email, phone, and carrier portals via bi‑directional connectors. It automates workflow steps such as quote preparation, producer reviews, and policy checks while preserving human‑in‑the‑loop oversight, and provides a plain‑English, queryable chat interface that lets any employee access agency data and institutional knowledge without re‑keying or system replacement.
Agentic AI provides custom AI receptionists, missed‑call recovery, and back‑office automation tailored for owner‑operated businesses. Their solution automates repetitive tasks such as data entry, quote handling, and common customer inquiries, promising a live receptionist setup within 48 hours and a 30‑day fit guarantee to quickly return time, customers, and margin to the business.
Agentic AI develops production‑grade agentic AI and automation solutions that integrate large‑language‑model agents, such as Anthropic Claude, with live business systems like CRMs, ERPs, and support queues. Their Model Context Protocol (MCP) connectors provide reliable workflow execution with features like automatic retries, structured output validation, and LangSmith observability, enabling 24/7 operation and eliminating bottlenecks for lead‑driven and operations‑heavy teams.