Glue

Roadmap & Position in Interface Design

A visual canvas for designing, debugging, and collaborating on AI agent workflows.

Company Overview

Visual interface design canvas for building, orchestrating, debugging, and collaborating on AI agent workflows through drag-and-drop with multi-modal interactions, human-in-the-loop controls, and reasoning visualization.

What They're Building

The company's public product roadmap & what they're committed to building.

Likely near-term: expanded multi-agent orchestration, visual prompt engineering, real-time multiplayer collaboration, export-to-code (React/Vue). Integration with LangGraph, CopilotKit, CrewAI probable.

Latest Intelligence

Zeitgeist tracks private signals to determine where the company is heading strategically.

Agent Workflows Need A Visual Debugger

May 13, 2026

Confidence:

Medium

New Intel: Glue is building a visual canvas for designing, debugging, and collaborating on AI agent workflows. As agent chains get messier, reasoning visualization could become core developer tooling.

Founder and Key Execs

Not publicly disclosed

Founder and executive details not public.

Founder Force Multiplier

Occupies a unique niche at the intersection of visual design tooling and AI agent orchestration, a layer neither traditional design tools (Figma, Framer) nor agent frameworks (LangChain, CrewAI) fully address.

Funding History

2026 | Accepted into Y Combinator W26 batch.

Competitors

Visual AI Design

v0.dev (Vercel), Framer AI, Builder.io, Galileo AI.

Agent Orchestration

LangGraph, CrewAI, AutoGen, CopilotKit.

Low-Code Agents

Flowise, Dify.ai, Stack AI, Relevance AI.

Traditional Design

Figma (with AI plugins), Canva AI.

Glue

's Moat:

Visual canvas for agent workflows sits at an intersection that neither Figma (no agent logic) nor LangChain (no visual editor) occupies. Reasoning visualization and human-in-the-loop controls create a differentiated debugging experience. Workflows built in Glue's format become the canonical representation, creating format lock-in.

How They're Leveraging AI

Visual agent orchestration

Visual Agent Workflow Orchestration: Glue provides a drag-and-drop canvas that lets users visually design, connect, and orchestrate multi-step AI agent workflows without writing code.

Explainable agent debugging

Agent Reasoning Visualization & Debugging: Glue renders every step of an AI agent's decision-making process — tool calls, intermediate results, and branching logic — as a transparent, inspectable visual trace on the canvas.

Human-in-the-loop control

Human-in-the-Loop Agent Intervention: Glue embeds approval gates and real-time human override controls directly into AI agent workflows on the canvas, letting users intervene, correct, or redirect agent behavior mid-execution.

AI Use Overview:

Using visual agent orchestration with reasoning visualization, explainable agent debugging for failure diagnosis, and human-in-the-loop controls for safe deployment.

More Similar Companies

Discord

Real-time voice, video, and text chat platform built around persistent community servers.

The deepest engagement metrics in consumer social (94 minutes per day) combined with a pre-IPO path and untapped advertising plus developer monetization surface area.

Button Computer

A privacy-first wearable AI that only listens when pressed, no always-on mic or cloud needed.

Humane and Rabbit tried always-on AI wearables and both failed on privacy and form factor. Button only listens when physically pressed, which is a better privacy model, and two ex-Apple Vision Pro engineers know how to ship hardware that people actually wear.

Carrot Labs

Keeps production AI agents reliable by continuously fine-tuning against business metrics.

Most AI agent teams monitor in production and fine-tune separately. Carrot Labs closes the loop: it evaluates agent performance against business metrics and selectively retrains, which means the agent improves without a human deciding what to fix.

Fort

Auto-detects 50+ exercises and tracks reps, form, and fatigue on-wrist without manual logging.

Whoop and Oura track recovery. No wearable auto-detects and counts strength training reps. Fort does, across 50+ exercises, built by five ex-Tesla engineers who know how to ship sensor hardware with on-device ML. The category is greenfield.

Back To All Companies >