Hey YC! ๐ We're Akshay and Ashwin, and we're building Spine Swarm.
TL;DR
You describe a project. A team of AI agents spins up, works in parallel on a visual canvas, and delivers finished outputs: market reports, financial models, slide decks, interactive prototypes. Free to get started, no setup needed.
Ask: Sign up and try it at www.getspine.ai. We'd love to hear what you build โ drop us a note at founders@getspine.ai.
AI agents for coding have crossed a threshold. Tools like Cursor and Claude Code let engineers describe a project and come back to finished, working code. That experience doesn't exist yet for the rest of the work that drives a company forward.
As coding gets increasingly automated, the bottleneck is moving upstream: strategy documents, competitive analysis, financial modeling, sales collateral, market research, SEO audits, rapid prototyping. These are multi-hour, multi-step projects that require pulling information from many sources, structuring it, and producing polished output.
Today's AI tools treat this kind of work as a conversation. You get a chat thread, local file management, and one model doing everything sequentially. For simple tasks that works fine. But for complex projects, the single-chat paradigm breaks down. You end up managing the AI instead of letting it manage the work.
We've been building at this intersection for 3 years. Last year we launched Spine Canvas, a visual workspace for orchestrating AI models. Swarm is the next step: the canvas now has autonomous agents that can take on entire projects from start to finish.
Spine Swarm gives you a team of AI agents that work together on a visual canvas. You describe the project, and Spine spins up specialized agents in parallel, each handling a different part of the work. You can watch them execute in real time, inspect each artifact as it's created, and edit anything in place.
Everything Spine builds is downloadable and hosted at a shareable link. Just send your team the URL.
A common question we hear: "You're using the same models everyone else has access to. Why would the output be better?"
We recently scored 87.6% on Google DeepMind's DeepSearchQA, a benchmark that measures how well AI answers complex research questions requiring multi-step reasoning across sources:
Three things drive this:
Read more about our approach and the full benchmark results on our blog.
Share this post if you know founders, operators, or team leads drowning in the strategic and analytical work that's piling up as code writes itself.