From Raw Data to Trusted Intelligence
Bay AI turns unstructured data into auditable, confidence-weighted labels — powering AI you can trust in the real world.
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AI Doesn't Fail Because of Models. It Fails Because of Data.
No matter how advanced your models are, they're only as good as the data they're trained on.
As AI adoption accelerates — especially with the rise of large language models — organizations are running into the same foundational roadblock: unlabeled, unstructured, incomplete data. The reality is, your data doesn't become an asset until it's structured and labeled in a way your systems — and your stakeholders — can trust.
Traditional labeling methods can't keep up. They're slow, manual, and expensive — making it nearly impossible to scale machine learning in high-stakes environments.
At Bay AI, we make data labeling smarter — turning raw, unstructured inputs into confidence-weighted, auditable labels at scale. It's how you unlock the full value of your proprietary data — and build AI systems that are not just powerful, but provable.
Raw Data
Heuristics + LLMs
Weak Supervision
Probabilistic Labels
ML Ready + Auditable
Everything You Need to Turn Data into Decisions
InferaOS Programmatic Labeling Engine
Encode domain logic, metadata, and LLM-generated rules. Resolve conflicts using weak supervision. Output confidence-weighted, explainable labels at scale.
Sherlock Explainability & Intelligence Layer
Visualize why labels were created. GNN-powered impact analysis and counterfactual scenarios help compliance, forensic, or product teams act confidently.
Hydro Review & Ops Framework
Scalable human-in-the-loop QA, version control, label audit history, and API scaffolding for model deployment or compliance.
Built for Any Industry. Starting with the Ones that Need It Most.
Finance & Compliance
Detect fraud, automate audit labeling, monitor risk signals
Web3 & Crypto
Trace wallets, label smart contracts, monitor illicit flows
Marketing & RevOps
Score leads, segment behavior, tag CRM records
Gaming & Product Analytics
Label in-game events, identify high-value users, optimize retention
LLM Ground Truth
Generate training/eval datasets for domain-specific models
Healthcare & Bio
Structure EMR logs, behavior traces, diagnostic events
Trusted by Teams Who Can't Afford to Be Wrong
Our platform has been tested in production environments where accuracy, explainability, and speed are non-negotiable.
10x
Faster than manual labeling
<$1K
Compute cost beats $1M models
$100M+
Decisions powered by our structured data
Industries
Finance, Web3, and Compliance
We've Lived the Data Problem — From the Inside Out
Before Bay AI, we built and deployed AI systems in production — from real-time fraud engines to billion-dollar credit pipelines. We've seen this problem from every angle: as bankers, engineers, and vendors selling into regulated environments. And across every project, the blocker was the same: you can't scale AI without structured, auditable labels. So we built Bay AI — the infrastructure we wish we had.
Kathryn Knight, CEO
  • Ex-COO of venture-backed AI startup (acquired)
  • Built models used by multi-billion-dollar institutions
  • Holds 3 ML patents
Alan Sammarone, CTO
  • 15+ years in ML engineering + HPC
  • Built fault-tolerant labeling infra at biotech scale
  • Master's in theoretical physics
Built for the Builders Behind the Next Wave of Intelligent Systems
Bay AI serves teams in finance, Web3, product analytics, and beyond — helping data scientists, compliance leads, and ML engineers deploy smarter systems, faster.
We support startups, scaleups, and global organizations alike — helping them structure their data, reduce labeling bottlenecks, and ship AI that works. Whether you're labeling transactions for fraud, events for an LLM, or behaviors in your game or CRM — Bay AI gives you the tools to go from data to decisions.
AI You Can Trust Starts with Data You Can Trust
Bay AI provides the infrastructure to turn raw data into structured, auditable labels — across any domain, at scale.
Raw Data
Your unstructured information
Bay AI Platform
Automated labeling infrastructure
Trusted Labels
Structured, audit-ready results