tldr: @metronisorg is hiring. also looking for investors.
We're building the AI evals for Healthcare at @metronisorg – and we need cracked engineers on the founding team!
Looking for:
• Full-stack engineer
• MLOps engineer
• ML/Eval researcher
• UI/UX designer
• Technical writer + GTM (freelance)
💰 Stipend: no bar for the correct candidate
📷 Start: Whenever you're ready.
remote, (blr soon).
full-stack evaluation and safety platform for healthcare AI agents.
contact: @w2sgarnav
mail: [email protected]
Know someone who's a perfect fit? Tag them.
we’re launching metronis.
full-stack evaluation and safety platform for healthcare AI agents.
open source.
feat @w2sgarnav .
(spent my life savings on this lame ass launch video bc i have no vc money as of now).
1/8 🧵
Today's AI development journey is a story of two very distinct experiences.
The first is the "magic moment" in a notebook, where an LLM creates something amazing with a few lines of code.
It seems like there are countless options. The harsh reality of manufacturing follows.
Today, the "magic" must contend with actual users, intricate edge situations, and crucial business consequences. "Can it do something cool?" becomes "Can I trust it, consistently and at scale?" instead.
Most teams get caught in the transition from a prototype to a dependable, production-ready AI product.
8/8 🧵
The next wave of AI will be defined by those who master the discipline of building reliable, production-grade systems.
We're here to build that future with you.
We are opening the waitlist for EvalOps for a select group of design partners. Come build with us.
metronis.framer.website/
7/8 🧵
What does all of this mean to you, then?
Metronis gives you the confidence and speed to ship safer, better AI solutions with EvalOps.
It enables you to substitute data-driven assurance for uncertainty and fear.
It all comes down to providing a clear response to the query, "Is our AI ready for production?" and the comprehensive reports to support it.
We assist you in creating AI that your users can rely on and that you can be proud of.
6/8 🧵
The most significant challenges in AI are yet to come, and EvalOps is built to meet them head-on with forward-looking capabilities.
Our AutoEval Agent doesn't just run tests you've written; it learns from system logs and failure patterns to proactively suggest and even generate new, critical edge cases you haven't thought of.
It helps you continuously harden your system against the unknown.
Our Scenario Simulator recognizes that modern AI is about agents, not just prompts. It allows you to test complex, multi-step agentic behaviors in sophisticated mock environments that can simulate file systems, external APIs, and even multi-user groupware applications, ensuring your agent is robust in the face of real-world complexity.
5/8 🧵
The Dual Feedback Loop is the fundamental idea around which we built EvalOps.
1. The Inner Loop (Local Mode): We give developers access to a robust CLI and SDK that enables them to conduct assessments immediately on their local computer.
This allows for quick, iterative development—you can test a function, adjust a prompt, and receive instant response in a matter of seconds without ever leaving the terminal. It is quick, smooth, and made for personal productivity.
2. The Outer Loop (Cloud Mode): A formal evaluation on the EvalOps cloud platform is initiated when a change is ready and delivered to your CI/CD pipeline.
On a collaborative dashboard, these outcomes are shared with the team as a whole, saved, and compared to past standards. This is to guarantee formal sign-offs, historical analysis, and team-wide quality.
4/8
EvalOps is your defense against the inherent dangers of generative AI for businesses and teams working in high-stakes situations.
We go deeply into safety and governance.
This includes bias testing, automatic PII identification, and integrated evaluation suites for regulatory compliance such as GDPR and HIPAA.
One of our key features is our "Eval Diff" engine, which offers a detailed, auditable history of how performance varies with each prompt or model change.
This keeps the chain of evidence for model behavior intact and enables you to identify expensive regressions before they ever affect a user.
3/8 🧵
We are presenting the vision for EvalOps, our flagship product, today.
Consider EvalOps as the all-in-one command center for the behavior and quality of your AI, rather than simply another tool.
From the first line of code to post-deployment monitoring and enhancement, it is a permanent, collaborative platform made to blend in smoothly with your LLMs and AI Agents' whole lifespan.
It is the system of record for figuring out exactly how and why your AI works.
2/8 🧵
We established Metronis specifically to address this issue.
Our goal is to supply the essential tools and infrastructure required to turn AI development from an experimental art form into a demanding, scalable technical field.
We think that in order for AI to realize its full potential, the teams developing it must have procedures in place that boost confidence, control risk, and guarantee quality at every stage.
The professional-grade toolbox for the serious AI builder is being developed by Metronis.


