Next feature in line --
Dynamic Multi-Agent workflow updates and optimizations using reinforcement learning -- identify bottleneck agents and replace them with sub-agents that reduce cost, and latency and increase the accuracy and throughput of your agentic-workflows.
The feature will most likely be rolled out to our beta testers sometime this month.
Here's a sneak peak --
My friends and I at @nyuniversity Courant, are building an AI Agentic analytics platform. We're focused on KPI-based analytics for Agents, analyzing & visualizing multi-agentic workflows.
First time trying to build something in public. Let's see how it goes. Open-source soon!
Next feature in line --
Dynamic Multi-Agent workflow updates and optimizations using reinforcement learning -- identify bottleneck agents and replace them with sub-agents that reduce cost, and latency and increase the accuracy and throughput of your agentic-workflows.
The feature will most likely be rolled out to our beta testers sometime this month.
Here's a sneak peak --
@Suhail Hey Suhail, I'm a masters CS student at NYU Courant. Building a cool analytics platform for AI agents & multi-agent systems (bottleneck analysis/task-distribution and more). Need some advice from an experienced founder on fundraising and B2B sales. Can we chat ?
True that! Hey, Chad can we chat? My team and I at NYU Courant (ex engineers -- Oracle, GS, Flipkart, Cisco, Google & Blinkit) are researching and building a data-driven analytics platform for AI agents & Multi-Agent systems with a focus on RAGs, KPI metrics and multi-agent workflows. We're raising our pre-seed.
A demo of what we've built so far for AI Agents & multi-agent system analytics.
What's next in our pipeline:
1. Deploy a Global Search Agent in our analytics that answers any questions about your agents and graphs that are tracked using ebonwing.
2. Identify bottlenecks in multi-agent systems.
3. Identify the workload distribution of Agents in a multi-agent system to optimize the output produced by each agent. Suggest addition or removal of an agent to optimize the output for each agent and the entire multi agent workflow.
Hey @PrimaryVC, I and my team(ex-engineers from Oracle, SAP, Goldman Sachs, Flipkart & Blinkit) at NYU Courant are researching AI agents (and multi-agent systems) and are building an analytics platform for AI agents/LLMs mainly around rags, a custom framework to track KPI metrics using our multi-modal rag system for AI agents, and multi-agent workflow analytics. We're looking to do a pre-seed.
Can we meet/chat?
Hey @JasonrShuman, I and my team at NYU Courant are researching AI agents (esp. multi-agent systems) and are building an analytics platform for AI agents/LLMs mainly around rags, a custom framework to track KPI metrics using our multi-modal rag system for AI agents, and multi-agent workflow analytics. We're looking to do a pre-seed. Can we chat ?
Hey @QuietCapital, I and my team at NYU Courant are researching AI agents (esp. multi-agent systems) and are building an analytics platform for AI agents/LLMs mainly around rags, a custom framework to track KPI metrics using our multi-modal rag system for AI agents, and multi-agent workflow analytics. We're looking to do a pre-seed. Can we chat?
Hey Edward, I and my team at NYU Courant are researching AI agents (esp. multi-agent systems) and are building an analytics platform for AI agents/LLMs mainly around rags, a custom framework to track KPI metrics using our multi-modal rag system for AI agents, and multi-agent workflow analytics. We're looking to do a pre-seed. Can we chat ?