sherpa.ai 🧠

Generative AI answers. Agentic AI acts. But to act, an agent needs access to your data and systems. The real question isn't what it can do, but what it can access. #AgenticAI

AI is a big journey, but jumping in is not hard." Andrew Ng In regulated industries, the first step often stalls because the data can't be moved. With Federated Learning, it doesn't have to. #FederatedLearning

One subsidiary detects a phishing campaign. Six weeks later, another is hit by the same one, unprepared. Federated Learning lets every SOC learn from the whole group without a single log crossing a border. #CyberSecurity #FederatedLearning

Rare diseases have a data problem: no single hospital has enough cases. NIH and UCL are using eu1.hubs.ly/H0yJxDf0 to improve the diagnosis of Collagen VI-related dystrophies: one shared model, no patient records transferred. #FederatedLearning

Data is a toxic asset.» Bruce Schneier, 2016. Ten years on, every centralised dataset is still a target. The alternative: train where the data already lives, so the pile never gets built.

Federated learning, plainly: instead of bringing the data to the model, it brings the model to the data. Each node trains on what it holds and shares only what it learned. Not a privacy layer bolted on at the end.

Each subsidiary detects threats the others will face weeks later, but security telemetry can't be centralised. Federated learning flips it: the model travels, the data doesn't. Only what the model learns is shared.

The defects that cost the most are the ones you've seen the least. Three times a year isn't enough data to train on. Across a supply chain it is but nobody's sharing process data. Federated Learning: train the shared model, keep the data. #Manufacturing

Fraud doesn't stay inside one bank. The same pattern moves between institutions each one sees only its fragment. Federated Learning lets banks train fraud & AML models together. No customer data ever leaves. #FederatedLearning

At CES 2026, Allie Miller put it plainly: people want to know if a model runs locally or in the cloud, and what data leaves. Real control isn't protecting data well once it leaves. It's never having to send it. That's the principle Federated Learning is built on.

Predictive maintenance has a data problem: one plant only sees a handful of critical failures. Federated AI lets plants learn from each other without sharing process data. The model travels. The data stays.

The EU AI Act deadline moved. Your data strategy shouldn’t. Certain high-risk AI systems now have until Dec. 2027 to comply. More time ≠ less responsibility. Federated Learning helps organisations use distributed data without moving sensitive data.

We're teaming up with @Kentkart to bring AI into public transport fares, predicting demand, simulating fare changes, detecting fraud. The difference: the AI goes to the data, not the other way around. Pilots start in Spain. #FederatedLearning #PublicTransport

Healthcare AI hits a wall: better models need more data, but patient data can't leave its source. Federated Learning trains locally, sharing only encrypted updates, never patient records. Real question isn't more data it's collaborating without losing control of it #HealthcareAI

Payment fraud moves across networks in milliseconds. Sherpa AI trains a shared model across the entire payment ecosystem — no transaction data exposed. 👉 eu1.hubs.ly/H0w_xdl0 #SherpaAI #FederatedLearninges #PaymentFraud #FederatedLearning #FraudDetection #BankingAI

Alzheimer's starts years before symptoms appear. The data to detect it early exists — scattered across hundreds of institutions that can't pool it. Sherpa AI trains a shared model across all of them, no patient record shared. #SherpaAI #Alzheimer #FederatedLearning

The future of AI is being built today. 💬 What change do you think will have the greatest impact?

Every factory has defect data. None will share it with a competitor. The defects keep happening. Sherpa AI trains a shared detection model across plants — no production data leaves each facility. #SherpaAI #Manufacturing #QualityControl #FederatedLearning

A satellite generates terabytes per orbit. Almost none reaches the ground — bandwidth doesn't allow it. Sherpa AI trains AI directly on the satellite. Only model updates transmitted. #SherpaAI #Aerospace #EdgeAI #FederatedLearning

Critical infrastructure operators need shared threat intelligence — but can't share operational data. Sherpa's federated learning enables joint defense models without exposing any system telemetry. 👉 eu1.hubs.ly/H0w_x0Y0