Secludy AI

de-ID for RL/data companies selling to AI labs -

[Ben Cerchio @ben_cerchio]

if you sell AI training data, see how you compare: we found 159 companies selling data, RL envs and evals, every fact sourced

plus 38 programs that pay companies for their data: https://t.co/a3U4qcTvKz

8 of the 14 that pay companies directly publish a dollar range. most of the rest set terms per deal. unknowns are marked and nothing is ranked

the other page: what each program wants, who qualifies and what it offers: https://t.co/FVD3vdqUS3

missing something, or something wrong? fix it on the site, a person reviews every change

we built this at @Secludy. if you buy, broker or license company data and need the names out before it reaches a lab, dm me

[Ben Cerchio @ben_cerchio]

100% agree on 3rd party de-id. we provide this at @Secludy. raw data going to the independent de-id provider before going to the data broker builds trust

[Ben Cerchio @ben_cerchio]

We're proud to be launching @Secludy today with $4M in seed funding.

@ImpressionVC led the round. @LAUNCH and The Syndicate, a venture firm and angel investing group led by @Jason Calacanis, also joined, along with Wedbush Ventures, @PrecursorVC, @HustleFundVC, @scriptcapital, Mana Ventures, Chispa VC, and an amazing group of angel investors.

Banks and fintechs are sitting on incredibly valuable data but can't use it to train AI models. Privacy laws, contracts, and cross-border rules keep it locked down.

So my co-founder @Dr_Mingze_He and I got to work.

Secludy unlocks your most sensitive data while keeping the utility intact. You can train custom models and do vendor evaluations without ever putting your sensitive data at risk or giving up AI model performance.

Moving on to other regulated industries next...

Also, special thank you to @sososazesh who wrote our first check and to all of our other existing investors.

Read more in the comments.

[Lauren Wagner @typewriters]

The solutions already exist, they're just unevenly distributed (/think tanks are not aware of what startups are building to solve these problems)

See: @Secludy

[Secludy AI @Secludy]

👀

[Rohan Paul @rohanpaul_ai]

LLMs leak up to 27.5% of sensitive training data PII (Personally Identifiable Information like emails, SSNs, VINs, Bitcoin wallets).

@Secludy makes it easy to generate privacy-guaranteed synthetic data that is a near replica of the original unstructured dataset but better.

How? They utilize privacy-protected LLMs by adding carefully controlled noise to the model weights before generating synthetic data for AI model fine-tuning/evaluations. They just released a technical report that demonstrates their approach.

🧵1/n

LLMs are known to memorize and expose sensitive information, even when trained on masked unstructured datasets they can still retain and regurgitate personal data which is a major privacy risk.

[Secludy AI @Secludy]

5/ Ready to secure your data? Our PII Leakage Testing Tool helps you audit leakage in fine-tuned LLMs.

[Secludy AI @Secludy]

We just launched our PII Leakage Testing Tool on AWS Marketplace!

We put data masking to the test. A thread 🧵👇

[Secludy AI @Secludy]

4/ The European Data Protection Board (EDPB) now wants companies to run these audits as proof of resistance to re-identification (EPDB Opinion 28/2024).

[Ben Cerchio @ben_cerchio]

Training AI models on sensitive medical data poses big risks, as this TechCrunch article highlights. The same goes for unstructured text. Privacy-preserving techniques like training on differentially private synthetic data can ensure utility while protecting privacy 🛡️ https://t.co/tqVkedTGGF

[Ben Cerchio @ben_cerchio]

1/ My hot take on the State of AI Report 2024 by Air Street Capital 🔥

Synthetic data isn’t just for big AI labs anymore. It’s about to become essential for nearly ALL companies fine-tuning their models

[Secludy AI @Secludy]

@ajhodls @kepano Absolutely, training on differentially private synthetic data is the way to go. It gives privacy-guarantees so that you can protect users’ sensitive data while learning from your most valuable data