Drainpipe Embeddings
Foundation of Trustworthy AI
Eliminate variance, ensure auditability, and drastically reduce compute costs with the only deterministic embeddings engine
The Challenge
The Core Problem
Modern AI relies on Predictive Embeddings. However, the models used to create these vectors are naturally Probabilistic, meaning they have tiny inconsistencies or “variance”.
The Flaw
When you run the same question twice, the vector subtly shifts, causing RAG systems to retrieve different documents or generate slightly different answers.
The Risk
This instability is unacceptable in regulated environments. It leads to unstable search results and makes AI decisions un-auditable and Not Trustworthy.
Visualizing the variance in standard models vs Drainpipe.
Our Technology
The Drainpipe Solution
Drainpipe engineers the AI stack to achieve true Determinism—guaranteeing consistency across the entire RAG pipeline.
Maximum ROI and Efficiency
Variance and high dimensionality don’t just reduce trust; they explode your cloud budget. Drainpipe’s deterministic approach is engineered for superior efficiency.
Processing Cost
Save 87%
OpenAI
$22.53
Drainpipe
$2.81
Estimated CPU cost per 1GB of data processing.
Storage Cost
Save 95%
OpenAI
$6.88
Drainpipe
$0.29
Estimated Cloud Storage cost per 1TB of data.
Data Footprint
24x Smaller
OpenAI
299 GB
Drainpipe
12.5 GB
Storage volume required for 1TB of source data.
Easily Leverage Drainpipe Embeddings
Designed to fit into any enterprise environment, regardless of your cloud provider or infrastructure complexity.
Are you Ready for Trustworthy AI?
Reach out so we can fully explain the details of Drainpipe and how it can benefit your organization.