Bytefish enables organizations to access world-class predictive models without hiring large ML teams or exposing sensitive data. Your data stays on-premises. Always.
We transform raw data into safe, obfuscated representations that external experts can use to build high-accuracy models—delivered through a simple API.
Our on-premises agent transforms raw data into non-reversible latent representations locally. External modelers never see sensitive information—only safe, obfuscated datasets.
External experts compete to build the best models on your obfuscated data. Get top-tier predictive performance without the overhead of hiring and managing an ML team.
When new data arrives, modelers retrain automatically. Your prediction ensemble evolves with your business—no manual updates or model decay.
Receive predictions through a straightforward API. No infrastructure to manage, no ML pipelines to build, no specialized hiring required.
Predict fraudulent transactions and behavior patterns while keeping customer data completely private and secure.
Build sophisticated pricing and risk models without exposing policyholder or customer information to external parties.
Predict inventory needs, capacity requirements, and operational demands with continuously updated models.
Identify at-risk customers early with predictive models trained on behavioral patterns, not exposed records.
Detect operational anomalies, system failures, and unusual patterns in time-series data before they become problems.
Predict payment behavior and default risk while maintaining strict compliance with data protection requirements.
Forecast portfolio returns, asset valuations, and market movements while keeping proprietary trading strategies and positions private.
Predict supplier reliability, logistics delays, and inventory bottlenecks to maintain operational continuity.
Most organizations have strict data privacy and compliance requirements that prevent sharing raw data externally—even when outside expertise could dramatically improve predictions. Traditional approaches force you to choose between data security and model quality. Bytefish eliminates that tradeoff.
Bytefish uses latent-space projection (LSP) to irreversibly transform your data into obfuscated representations. Our on-premises agent handles all encoding locally—raw data never leaves your infrastructure. External data scientists train models on these safe datasets, and you receive high-accuracy predictions via API. It's the predictive power of external expertise with the security of on-premises data.
Bytefish is built for organizations with meaningful tabular, text, or time-series data who need better predictive models but lack ML expertise, bandwidth, or the ability to share sensitive data. If you're struggling with fraud detection, pricing optimization, demand forecasting, or other prediction problems—and can't afford to expose customer or operational data—Bytefish is designed for you.
We deploy the Bytefish agent in your environment, configure it for your data sources, and work with you to define prediction targets. External modelers begin training on obfuscated data, and you start receiving predictions through our API. Ongoing retraining happens automatically as new data arrives. No ML infrastructure required on your end.