andreas cleve retweeted
the New Software strategy checklist: how many of these is your company already executing on?
🤖 *full* capability parity* between what humans and agents can do
🚀 CLI/SDK/APIs for agents to provision and configure your product *without HITL*
🎓 evolving *battle-tested skills* that encode your best practitioners' judgment
💰benchmarks that show you are *high performance, low cost* compared to general purpose agents (thanks to vertical models/custom databases)
🪨 stable user/agent interfaces and harnesses that *outlast model changes*
For CEOs: less than 3/5 by the end of Apr 2026 and your co is ngmi
Medical Coding has a new leader
we just beat anthropic, google, openai, amazon and oracle by 25% or more.
Symphony for Medical Coding is live 🧵
we’ve trained Symphony to work the way a trained human coder works
step by step, codebook open, citing the exact sentence that justified every decision so clinicians can verify it, auditors can check it, and no patient gets harmed by a guess.
It’s the agentic way of doing it.
The API is live, agent library live and it’s free to add to your product today. First $50 bucks is on us.
💡More on the product: corti.ai/medical-coding
🤓Check our API docs: docs.corti.ai/coding/overvie…
🇫🇷 We just launched the largest medical French ASR model ever built, trained on more than 170,000 medical terms used in healthcare and life sciences.
We learned that French is tough on ASR, especially in medicine. Check it out here: console.corti.app/auth
Here’s why: 🧵
Corti’s new French ASR model was trained and validated to overcome these challenges:
• +36% improvement in Medical Term Recall
• 2.11% Word Error Rate (WER)
• <1% Character Error Rate (CER)
(Benchmarks normalized; punctuation and case sensitivity ignored - so please test on your own data)
Available now for:
🎙️ Dictation (/transcribe)
💬 Ambient (/stream)
Rated Premier, covering every major specialty from cardiology to psychiatry.
We also added:
🗣️ Commands — hands-free voice control for templates, navigation, and automation
✍️ Spoken punctuation & formatting — so transcripts read like true medical notes
Using generic LLMs in clinical workflows?
We interviewed thousands of healthcare professionals (HCPs), and the data is clear.
Generic LLM creates bloated, error-prone notes & dangerous hallucinations, undermining the trust of clinicians.
Here’s why that’s a critical problem, and how we're fixing it. 🧵
Who is this for? If you're building:
✅The next wave of ambient scribes
✅Intelligent care co-pilots
✅Tools for automating clinical coding & data synthesis
FactsR™ slots into your stack with a single API call.
🔬 Read the research:
arxiv.org/pdf/2505.10360
Ready to build safer clinical AI? It's free to get started.
👩⚕️ Try the live demo: assistant.corti.ai
📘 Explore Docs & SDKs: docs.corti.ai