Cut SEC Filing Analysis Time by 80%

Extract tables, charts, and XBRL data from 10-Ks, earnings calls, and investor decks—with 94% accuracy. Built for FP&A, IR, and investment teams.

Outperforms GPT-4o, Gemini, and Claude on financial documents.

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Benchmarked: 10-K, 10-Q, earnings transcripts, investor decks, XBRL (US-GAAP + IFRS)

Trusted by hedge funds, private equity firms, FP&A teams, and investor relations departments processing thousands of SEC filings monthly.

Financial Document Retriever

mxp.co/finance

Interactive retriever playground

Launch Full Retriever

Multimodal Extraction

Tables, text, footnotes, charts, and XBRL with high structural accuracy.

Numerical Reasoning

Correct YoY, QoQ, CAGR, margins, and multi-step calculations.

Multi-Hop Retrieval

Answer complex analyst-grade questions in seconds.

See It In Action

From messy SEC filing to structured, queryable data in seconds.

Before: Raw 10-K Filing

// Embedded table in PDF...

Revenue	$394,328	$365,817
Cost of sales	$223,546	$212,981
Gross margin	???	???

// Headers span multiple rows, units unclear, no context...

After: Structured JSON

{
  "company": "Apple Inc.",
  "filing": "10-K",
  "fiscal_year": 2024,
  "metrics": {
    "revenue": {
      "value": 394328000000,
      "unit": "USD",
      "period": "FY2024",
      "source": "p.42, table 2, row 1",
      "xbrl_tag": "us-gaap:Revenues"
    },
    "gross_margin": {
      "value": 0.433,
      "calculated": true,
      "formula": "(revenue - cost_of_sales) / revenue",
      "verified": true
    }
  }
}

100%

Source attribution

XBRL

Tag mapping

Verified

Calculations

JSON

API-ready output

Capability Benchmarks

Tested on 7 financial documents. These benchmarks measure specific capabilities, not general intelligence.

Table Extraction

94.2%

Cell Accuracy

Cell-level accuracy extracting structured data from complex financial tables with multi-level headers and merged cells.

Mixpeek94.2%

GPT-4 Vision78.4%

Google Doc AI86.1%

98.1% header detection

91.3% merged cell handling

Source attribution to exact cell

Numerical Reasoning

96.3%

Calculation Accuracy

Accuracy on multi-step financial calculations: YoY/QoQ growth, ratios, margins, and compound operations.

Mixpeek96.3%

GPT-4 Turbo62.7%

Claude 3.568.9%

Code execution, not estimation

Exact numbers from XBRL

Verifiable calculation steps

Retrieval Precision@3

94%

Top-3 Accuracy

Percentage of queries where the correct answer appears in the top 3 retrieved chunks across 1,209 document chunks.

Mixpeek (Hybrid)94%

Vector Only81%

BM25 Only73%

7 specialized embeddings

Hybrid vector + keyword search

Financial-domain fine-tuning

Download Full Report

These benchmarks test specific financial document capabilities. GPT-4 is a better general assistant—we're a better financial document parser. Different tools for different jobs.

How It Works

Two pipelines working together to transform documents into answers

Extraction Pipeline

Retrieval Pipeline

Why Generic LLMs Fail at SEC Filings

GPT-4, Claude, and Gemini are great general assistants—but financial documents need specialized extraction.

Problem	Generic LLMs	Mixpeek
Hallucinated numbers	Estimates and guesses financial figures	Zero hallucination—extracted directly from XBRL facts
Broken table parsing	Loses row/column relationships in complex tables	94.2% cell-level accuracy with source attribution
Invisible charts	Can't extract data from visual charts and graphs	OCR + chart parsing extracts underlying values
Single-doc limitation	Can't cross-reference multiple filings	Multi-hop retrieval across years and documents

Audit-readyTraceableComplete coverageCross-filing analysisRegulatory compliance ready

Use Cases

Transform how your team works with financial documents

Q4 Earnings Prep

Pull YoY/QoQ trends and key quotes across all filings in one query.

Due Diligence Automation

Compare revenue quality, margins, and debt covenants across M&A targets.

FP&A Analysis

Extract and normalize CAGR, margins, and segment breakdowns across periods.

SEC Compliance & Audit

Automatically extract and validate required disclosures against filing requirements.

Portfolio Monitoring

Track key metrics and risk factors across portfolio companies in real-time.

Competitive Research

Benchmark revenue growth, R&D spend, and guidance across competitors.

90-Second Overview

🎥

Product Demo Video

Coming soon

Get notified when it's ready

See how Mixpeek transforms financial document intelligence

Developer Quickstart

Get started in minutes with our simple API

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

# Index a 10-K document
response = client.collections.finance.index(
    document_id="10k-2024-q4",
    url="https://example.com/10k.pdf"
)

# Query financial data
results = client.collections.finance.query(
    query="What was AAPL's YoY revenue growth in FY 2024?"
)

pip install mixpeekornpm install @mixpeek/sdk

View Developer Docs GitHub

Ready to Deploy

Includes ingestion, extraction, multi-hop retrieval, and flexible deployment options.

Flexible pricing that scales with your ingestion volume and team size. Custom enterprise plans available for high-volume processing and dedicated support.

Schedule Demo View Pricing

Frequently Asked Questions

Common questions from FP&A, IR, and investment teams.

SOC 2–ready

Enterprise-ready

Self-host or cloud

API-first

Ready to Transform Your Financial Intelligence?

Start extracting insights from 10-Ks, earnings calls, and financial documents in minutes.

Try Retriever Request Demo Read Report

Cut SEC Filing Analysis Time by 80%

Multimodal Extraction

Numerical Reasoning

Multi-Hop Retrieval

See It In Action

Capability Benchmarks

Table Extraction

Numerical Reasoning

Retrieval Precision@3

How It Works

Extraction Pipeline

Retrieval Pipeline

Why Generic LLMs Fail at SEC Filings

Use Cases

Q4 Earnings Prep

Due Diligence Automation

FP&A Analysis

SEC Compliance & Audit

Portfolio Monitoring

Competitive Research

90-Second Overview

Product Demo Video

Developer Quickstart

Ready to Deploy

Frequently Asked Questions

How is this different from GPT-4 or Claude?

What file formats do you support?

How accurate are the extracted numbers?

Can I self-host for compliance requirements?

How does pricing work?

What's the latency for processing a 10-K?

Ready to Transform Your Financial Intelligence?