AI-powered systems
that make it to production
AI models are performant now. The hard part is everything around them: reviews, context, prompting, security, ...
Built by a team focused on AI failure analysis
We spent 3 years evaluating frontier models and studying where production systems fail. We worked with:
Written in Rust for reliability
Rust helps us run long-lived workflows with low latency and predictable behavior under load.
AIs break in production
Not because they are dumb
The AI behaviors are rarely the root cause of the problem. The system around it is
No human in the loop
The workflow takes action with no approval step. You find out only after a customer reports it.
Weak recovery
One timeout or bad output can break the whole flow.
Bad context
The model answers with partial history, stale data, or missing business rules. Quality drops fast.
Easy to hijack
When instructions are vague and injection checks are weak, the system can be steered off course. You need clear prompts, attack detection, and debuggable traces.
The control layer
Design how AI, humans, and services work together. WeaveMind handles the rest
Human + AI
Humans and AI in the same workflow
Add a review node at any step. The workflow pauses and sends a task to your team via a built-in browser extension.
AI Builder
From prompt to first workflow draft
Describe what you want in plain text. Tangle generates a production-ready system.
Safety
Built-in guardrails
Injection detection, output validation, hallucination checks.
Long-running
Not just request-response
Nodes that stay alive, maintain connections, call tools, ...
Hybrid Deployment
Per-node deployment control
Keep sensitive steps local and run the rest in cloud. Choose execution location node by node.
Infrastructure
Infrastructure as workflow nodes
Databases and servers are nodes in your workflow. Start, stop, and monitor them alongside your logic. No separate config.
Desktop App
Download, install, run
No Docker, no CLI. A native app that runs workflows locally in two clicks.
What people build
Each workflow was created from one Tangle prompt in under 5 minutes.
For support teams
Auto-Answer Email
Incoming emails trigger an AI draft that pulls the full conversation thread for context. A human reviews the reply, approves to send instantly, or rejects with feedback for an AI revision. One retry, then it's done. No infinite loops, no lost emails.
For community support teams
Discord Q&A Bot
A Discord bot that classifies incoming messages as questions, looks up answers in a persistent database, and responds automatically. When no answer exists, the workflow pauses for human input. Approved answers are saved for future questions.
For editorial teams
AI Editorial Pipeline
RSS feeds flow in. AI deduplicates against a persistent database, summarizes new signals, and periodically drafts full articles. A human curator reviews each piece before it goes live. The workflow remembers what's been published, what's been rejected, and what's still fresh.
Pricing
Simple usage-based pricing.
You pay provider cost for AI tokens and infrastructure, plus a platform margin. Monthly plans reduce the margin. Bring your own keys for no markup on AI tokens.
Pricing starts at general availability.
Quentin Feuillade--Montixi
Founder & CEO
Quentin spent 3 years evaluating frontier AI systems, including red teaming work for OpenAI and Anthropic, and capability evaluations at METR (formerly ARC Evals). He also founded an AI evaluation startup in Paris and presented an automous jailbreaking system at the Paris AI Summit. WeaveMind came from seeing the same operational failures repeat across production AI teams.
Open source by Q2 2026
You should be able to audit the code that runs your AI systems
Try the beta and tell us what's missing
Early beta. Free to use. Bring your own API keys.
Questions? contact@weavemind.ai