Metis Analytics

What if you could ask anything about the world and not only get answers in natural language but also see them visualized geometrically? Imagine turning complex questions into clear, actionable insights instantly. We are proud to announce Metis Analytics team is launching our first API early next year and making this available in the Metis OS Platform where you can use our growing number of AI Agents! This API will allow users to easily query and visualize data, combining natural language with geospatial intelligence. Stay tuned for updates! #MetisAnalytics

Metis Analytics is committed to advancing agentic AI. We are doubling down on empowering our clients with mission-critical solutions when chatbots won't cut it. I'm also really exited to be growing our team in Q1! #metisos

Our new investigation diagram generator transforms investigative narratives into clear, interactive visualizations in seconds. It helps investigators: ✅ Simplify complex case details ✅ Spot connections and patterns faster ✅ Focus on solving the case instead of manual organization Check out the Demo: https://lnkd.in/gGsQRncw #aiforgood

I'm truly amazed how powerful our Metis OS agentic system is. This camouflaged image of owls sitting on rocks is barely distinguishable by the human eye and certainly is undetectable by a LLM, but with an agentic system it's an easy task. An Agentic system doesn't have to rely on training data but can leverage traditional ML models, and other tools to accomplish complex tasks. AI Agent: The image shows a group of owls perched on a rocky outcropping, their large round eyes visible as they peer out from behind a cluster of boulders. The owls appear to be a species of nocturnal bird, with their feathers blending into the surrounding rock formation to provide camouflage. #aiforgood #agenticAI

We are excited to announce that Metis Analytics has officially launched the Aegis Multi-Agent Framework! This open-source Python package gives users the ability to build robust, scalable multi-agent AI systems with local LLM integration via Ollama. The initial release includes the Master Agent, capable of commanding and coordinating other agents, with custom agents and foundational models coming soon. Designed for public safety and critical missions, Aegis combines a modular multi-agent architecture, secure local AI deployment, an intuitive API, and real-world examples to make building agentic systems easier than ever. Install now with pip install aegis-framework and check it out on GitHub: https://lnkd.in/gVFJYd5n #AI #OpenSource #Python #MachineLearning #ArtificialIntelligence #Innovation https://lnkd.in/gkb4pKqq

AI agents aren’t here to replace humans—they’re here to augment our abilities. In high-pressure environments like public safety, healthcare, and defense, Agentic systems like Metis OS can deliver real-time insights, allowing human operators to make faster, more informed decisions. .

Our mission is to empower businesses with cutting-edge, AI-driven decision support solutions through our flagship platform, Metis OS. Today, we are thrilled to unveil a groundbreaking addition to our ecosystem: the Aegis Multi-Agent Framework. This innovative system transforms how AI agents collaborate, learn, and operate together, embodying the "hive mindset" that lies at the heart of intelligent, scalable, and adaptable AI-driven solutions.

In emergency situations, every second counts. The Queryable Earth concept facilitates rapid decision-making by providing first responders with immediate access to critical information.

Since we started Metis Analytics, we've been working to bring the concept of a 'Queryable Earth' to life using spatially aware, agentic AI systems. At first, this idea was hard for many to grasp, but now it’s fueling a fast-paced race to create the first truly spatially aware AI. Our Metis OS - Agentic AI is a key step toward this goal, giving first responders and defense agencies the power to access crucial location-specific information through natural language, which improves decision-making in when time matters most.

Thank you first responders!