The Retrieval Infrastructure for Finance AI
ZeroEntropy gives developers the models and infrastructure to build accurate search and RAG over financial data: filings, research reports, earnings transcripts, compliance documents, and internal knowledge bases. One API for both human-facing search and AI agent context.
Generic Retrieval Breaks on Financial Data
Financial documents are dense, jargon-heavy, and scattered across filing databases, internal drives, and third-party platforms. Off-the-shelf embeddings miss critical context across earnings transcripts, regulatory filings, and compliance records. Your users and AI agents both suffer.
End-to-end latency (embed + rerank).
Than any API-based models.
“We replaced our entire retrieval stack for SEC filing search. Accuracy on financial terminology is a clear step above everything else we tested.”
“Our analysts find the exact clause or data point across thousands of filings in seconds. The reranker understands financial context in a way generic models don’t.”
“Fast, accurate, and production-ready from day one. Integrated in under a week and immediately improved our compliance document retrieval.”
Retrieval That Thinks Like an Analyst
ZeroEntropy surfaces the exact data point, risk factor, or disclosure your team needs — across filings, transcripts, research notes, and internal memos.
Financial Research
Semantic retrieval across SEC filings, earnings calls, and analyst reports.
Compliance & Regulatory
Surface relevant regulations, policies, and audit documentation instantly.
Document Analysis
Extract and compare terms across thousands of agreements, prospectuses, and contracts.
AI Agents
Feed agents the right context for report generation, due diligence, and portfolio analysis.
Integrate ZeroEntropy in minutes. Models only, or end-to-end retrieval. Production-ready.
Access all models through a single, latency-optimized API, or through our partner providers.
# Create an API Key at https://dashboard.zeroentropy.dev
from zeroentropy import ZeroEntropy
zclient = ZeroEntropy()
response = zclient.models.rerank(
model="zerank-2",
query="What is Retrieval Augmented Generation?",
documents=[
"RAG combines retrieval with generation...",
],
)
for doc in response.results:
print(doc)
Deploy in your own cloud with dedicated infrastructure. Available on AWS Marketplace and Azure.
From security to scale, ZeroEntropy is built for the demands of production ready AI
SOC2 Type II
Audited controls for data security, availability, and confidentiality — verified annually.
HIPAA Compliant
BAA-ready infrastructure with encryption at rest and in transit for protected health data.
GDPR Compliant
Full data residency controls, right-to-deletion, and DPA agreements for EU customers.
CCPA Compliant
Consumer data rights honored with full transparency on collection, use, and deletion.
