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Spine AI

Manage a swarm of AI agents to get real work done

Spine AI is a visual workspace where a single prompt spins up a swarm of AI agents that plan, delegate, and execute complex tasks together β€” with humans fully in the loop. Instead of chatting back and forth with one model, Spine breaks work into visible steps on a shared canvas. Agents collaborate in parallel, ask clarifying questions, use connected tools, and show their reasoning and intermediate outputs as they work. Every agent’s work stays inspectable, auditable, and editable β€” reducing hallucinations and giving you real control over the outcome. Spine connects to leading AI models and your existing tools, but the real power comes from orchestration: you act as the team lead, Spine runs the swarm. Chat is great for answers. Spine is built for execution.
Active Founders
Akshay Budhkar
Akshay Budhkar
Founder
Founder and CEO at Spine AI. Previously @ Georgian Partners (Helped 40+ B2B SaaS, led Gen AI & 5 Applied research initiatives, released a few open-source toolkits to help companies at scale), Scribd (YC S06) and FarmLogs (YC W12). Did Gen AI in my Masters @ UofT before it was cool :)
Ashwin Venkatesh Raman
Ashwin Venkatesh Raman
Founder
Founder and CTO at Spine AI. Previously at Instacart, AWS, Alexa, Nvidia and UWaterloo.
Company Launches
Medley: Give Claude Code missions, not just tasks
See original launch post

Hey YC! πŸ‘‹ We're Akshay and Ashwin, and we're building Medley.

You type /mission and give it the outcome, the budget, and the constraints. Medley builds a live dependency graph, coordinates Claude Code and Codex workers, reviews what comes back, and keeps going when execution reveals more work. It's free and runs on the subscriptions and API access you already have.

https://youtu.be/xe7bj3b5Aw0

❌ The Problem

Coding agents got good at bounded tasks. Once a job outgrows one session, you become the harness. You break the work into prompts, move context between agents, review outputs, and decide what happens next. There's no shared definition of done, so "finished" just means "looks finished."

πŸ›  Our Solution

/mission takes on that orchestration. Three things sit between your outcome and the models:

  • A contract. Before any work starts, Medley sets the objective, the acceptance criteria, the constraints and budget, and the conditions that should make it hold or stop. That's what "done" gets measured against later.
  • A live graph. Medley doesn't write one giant plan upfront or spawn a swarm by default. It plans the next useful set of steps, runs them, reviews what came back, and updates what should happen next. Each node carries a brief, its dependencies, and a verification target. Sometimes one worker should carry a tightly coupled job end to end; when work is genuinely independent, Medley runs it in parallel. Work is routed across Claude Code and Codex workers - and with your own OpenRouter key, Codex workers can run models like Kimi and GLM.
  • An acceptance stage. When a batch lands, a separate reviewer role inspects the outputs and changed files, runs the contract's verify commands, and decides whether the evidence satisfies the contract - not whether the work merely looks finished. If it doesn't, the mission replans.

You can watch and steer the mission in your browser. Anything that needs your judgment or approval - publishing, sending outbound, spending, contacting people - lands in the attention queue. Everything else keeps moving.Β 

πŸ“Š Why This Works

The model is only the local capability. The harness decides where to apply it - the contract fixes the target, the graph splits the work, routing matches each task to a worker, and an independent acceptance stage runs the real verify commands and replans when the contract isn't met.

Before launch, we pressure-tested a benchmark-specialized version of the same architecture on four complete public benchmarks: 93.25% on Terminal-Bench 2.1, 71.37 on HealthBench Professional, 93.24% on ViBench, and 60.98% on DrugDiscoveryBench. Those are the highest reported results on each, and they span coding, healthcare, and drug discovery.

No new foundation model. The gains came from how the work was decomposed, routed, carried across contexts, and reviewed.

uploaded image

Full methodology and results are on our blog.

πŸ™ Our Ask

Try it. Medley is free on Mac. Install it from Claude Code:

/plugin marketplace add Spine-AI/medley
/plugin install medley
/reload-plugins

Then run /mission. medley.sh

Tell us what you think. We're shaping the product around how people actually use it. Email support@getspine.ai with what you tried, where it worked, and where it broke - and where you'd want Medley to keep going versus stop and ask.

Previous Launches
Spine gives you a team of AI agents that work together on a visual canvas to complete complex projects: research, analysis, financial models, prototypes, decks, and more.
Think beyond chat. Collaborate visually across 300+ AI models with branching, parallel, and contextual workflows.
Iterative deep research reports you can actually use.
Simplifying data exploration at scale with AI analysts tailored to your business context
Custom AI analysts, trained on your business context, so you can ask truly plain language data questions and make informed decisions frictionlessly
Spine AI’s platform helps you build a copilot for your product.
Spine AI
Founded:2023
Batch:Summer 2023
Team Size:7
Status:
Active
Location:San Francisco
Primary Partner:Harj Taggar