Decentralized and Privacy-Preserving
Personalization
Personalization is a powerful tool of persuasion. By enriching it with interoperable data and privacy-preserving AI, you can give your users the best experience they deserve.
UNIVERSAL INTEREST GRAPH
Accessible by everyone, anytime and in full with privacy
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Plug and Play Curated Feeds
Choose From Decentralized Recommendation Engines Firstbatch Has Built For The Middlewares, Curate Your Feeds In Minutes.
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Indexing, Data-To-Vec
FirstBatch Indexes Data And Transforms It Into Queryable Interest Vectors With AI.
Persona-To-Vec
FirstBatch AI generates user interests as queryable interest vectors while preserving privacy with zk-Identities.
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Decentralized Similarity Search:
Danny (Decentralized Approximate Nearest Neighbour Yummy!) is a decentralized similarity search engine deployed on Blockchain operating fully on contract-level. Danny allows training, deployment, and inference of Similarity Search models.
PERSONALIZATION DIRECTLY INFLUENCES
THE LIKELIHOOD OFPURCHASE
REPURCHASE
RECOMMENDATION
REPURCHASE
RECOMMENDATION
AND DRIVESENGAGEMENT
LOYALTY
LOYALTY
PERSONALIZATION DIRECTLY INFLUENCES
THE LIKELIHOOD OF
PURCHASE
REPURCHASE
RECOMMENDATION
REPURCHASE
RECOMMENDATION
AND DRIVES
ENGAGEMENT
LOYALTY
LOYALTY
PERSONALIZED FEEDS EMPOWERED BY INTEROPERABLE DATA
PLUG AND PLAY DECENTRALIZED FEEDS
AND MORE (MANY MORE) ARE COMING SOON!
1 {
2 fid: "63173340455573408094965629...",
3 index: 1,
4 source: {
5 "rss": 0.1,
6 "lens": 0.3,
7 "paragraph": 0.0,
8 "mirror": 0.4,
9 "deso": 0.2,
10 },
11 "language":en,
12 "bearer": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9..."
13 "appId": "Gravity"
14 }
15 } √
Users connecting with FirstBatch can curate their experiences on Multi-chain social platforms, news sources, Marketplaces and more.
Enhance Your User Experience By Plugging Any Recommendation Engine To Your Application.
Dapps Can Integrate Firstbatch With Client-side Code. Blockchain Data Of Your Dapp Collected, Labeled And Uploaded To UIG.
Use Client-Side Code to Curate Your Content For Your Users By Querying The Graph.
1 {
2 fid: "63173340455573408094965629...",
3 index: 1,
4 source: {
5 "rss": 0.1,
6 "lens": 0.3,
7 "paragraph": 0.0,
8 "mirror": 0.4,
9 "deso": 0.2,
10 },
11 "language":en,
12 "bearer": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9..."
13 "appId": "Gravity"
14 }
15 } √
Are your company’s data private? If so, do this:
OFF-CHAIN DATA TO DECENTRALIZED RECOMMENDATION ENGINE
Transforms Products, Content, Posts to Vectors
Upload To FirstBatch Similarity Search
Query For Personaliztion
ID to ID Alignment
Content, product, community to ID Alignment
HOW WE PRESERVE PRIVACY WITH ZK?
DECENTRALIZED IDENTITY
zkAUTH
Personas are stored on the blockchain with no user id, wallet address, or email. Instead, users prove ID ownership in Zero-Knowledge to update their data, making it permissionless.
DECENTRALIZED PERSONALIZATION
Interest Vectors
Users personalize content by querying DANNY on the client side with FirstBatch ID. User data is not transferred to any backend.
Inference API & Self-Labeling
HOW WE PRESERVE PRIVACY WITH ZK?
DECENTRALIZED IDENTITY
zkAUTH
Personas are stored on the blockchain with no user id, wallet address, or email. Instead, users prove ID ownership in Zero-Knowledge to update their data, making it permissionless.
DECENTRALIZED PERSONALIZATION
Interest Vectors
Users personalize content by querying DANNY on the client side with FirstBatch ID. User data is not transferred to any backend.
ROADMAP
01
Building AI Pipelines for Persona Generation & Content Matching
2023
02
FirstBatch ID, Self-sovereign ZK Identity on Blockchain
2023
03
Building the Decentralized Similarity Search Infrastructure
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Integrations API, Applications & Experiences Personalized by Interoperable Data
05
FirstBatch 2.0, IDs Matching with Video, Images, Products & Venues
2024
06
Universal Interest Graph, Exploring the novel relationships between IDs & Entities
