Production-Grade AI Pipeline Active

Extract financial truth
in milliseconds.

Upload complex prospectuses, 10-Ks, earnings reports. Our RAG engine vectorizes your documents instantly for absolute retrieval precision.

240ms avg query speed Bank-grade encryption

What are the primary risk factors in Item 1A?

Q3 Revenue

$1.42B (+22%)

Context Built
100%
AMZN_10K_2025.pdf
Q4 Earnings Call

Built with world-class infrastructure.
The core technology stack behind our RAG engine.

OpenAI LogoClaude AI LogoSupabase LogoPinecone LogoAzure LogoPython LogoNext.js LogoJavaScript LogoOpenAI LogoClaude AI LogoSupabase LogoPinecone LogoAzure LogoPython LogoNext.js LogoJavaScript Logo
Pipeline Architecture

System Design
in Motion.

01

Ingestion Engine

PDFs are instantly parsed. Complex tables and multi-column layouts are structurally preserved via semantic chunking.

02

Vectorization

Text segments are transformed into high-dimensional embeddings using OpenAI models, mapping conceptual relationships.

03

Sub-second Retrieval

Queries hit our Pinecone index, retrieving the most mathematically relevant document chunks instantly.

finrag — ingestion-pipeline
$ finrag ingest --file AMZN_10K_2025.pdf
── Parse ──────────────────────────────
PDF structure detected · 112 pages
Table extraction · 23 tables preserved
Multi-column layout resolved · 8 sections
── Semantic Chunking ─────────────────
Chunk strategy · recursive_split · 512 tokens / chunk
Generated 1,204 segments · avg 487 tokens
Metadata attached · page, section, heading
✓ INGESTION COMPLETE
1.2s elapsed
Vectorization Engine

OpenAI text-embedding-3-large

1,204 vectors
C1

Q3 revenue increased by 22% YoY...

[0.821, -0.134, 0.567, 0.042, ..., 0.291]

Revenue
C2

Net income reached $1.42B driven...

[0.798, -0.201, 0.534, 0.087, ..., 0.315]

Revenue
C3

Primary risk factors include market...

[-0.342, 0.718, -0.091, 0.654, ..., 0.127]

Risk
2D Projection (t-SNE)
RevenueRiskOperations
Sub-second Retrieval

Pinecone Serverless | top_k: 5

latency
42ms
"What drove Q3 revenue growth?"
1

SaaS revenue increased to $1.42B in Q3, representing a 22% year-over-year growth driven by enterprise adoption.

p.42MD&A
0.984
2

Net income reached $890M, primarily attributable to strong cloud services performance and operational efficiencies.

p.44MD&A
0.942
3

Cloud infrastructure services grew 31% YoY, with annual recurring revenue exceeding $5.2B across all segments.

p.18Business
0.885
4

Operating margins expanded 340bps to 28.7%, reflecting improved cost management and economies of scale.

p.46Financial
0.812

Built for the Modern Analyst.

A high-precision extraction engine built with a cutting-edge stack to deliver financial insights with surgical accuracy.

Next.js 15

Blazing fast frontend with Server Components and optimized streaming UI.

FastAPI

High-performance Python backend handling complex PDF processing and RAG logic.

Pinecone

Serverless vector database for sub-second semantic retrieval at scale.

OpenAI

State-of-the-art embeddings and GPT-4o for deep financial reasoning.

Supabase

Real-time database and secure authentication for session persistence.

Azure AI

Enterprise-grade Document Intelligence for complex table extraction.

GSAP Motion

Fluid, high-performance animations for a premium user experience.

Tailwind 4

Modern, utility-first styling for a clean and responsive interface.

Core Capabilities

The Asymmetric Advantage.

Enterprise-grade infrastructure packed into a zero-friction consumer experience.

Instant Market Memory.

Query exact revenue metrics, risk factors (Item 1A), or management discussion & analysis (MD&A) across massive 10-K and 10-Q documents. Built to bypass manual Ctrl+F searches entirely.

Zero Onboarding.

No auth walls. No credit cards. Drop a file and start extracting insights immediately. Built for high-velocity analysts.

Ephemeral & Secure.

SOC2 compliant architecture. Vectors are strictly ephemeral. Data is processed in isolated memory enclaves and destroyed after your session.

Engineering Trust

Institutional Precision.

Powered by a deterministic extraction architecture. We combine OpenAI's embeddings with Pinecone's ultra-low latency vector search. Citation verification is natively built-in to aggressively mitigate hallucinations.

Direct Citations
Semantic Chunking
Table Extraction
Technical FAQ

Your questions answered.