Financial Intelligence
10-K Annual Report Signals
70+ AI-extracted signal subtypes from SEC annual filings. Detect cybersecurity investment, digital transformation, leadership changes, and cost reduction initiatives across 4,500 public companies.
Companies Covered
Signal Subtypes
Refresh Cadence
Historical Depth
What Are 10-K Filing Signals?
10-K annual reports are the most comprehensive disclosures public companies file with the SEC, covering business operations, financial condition, risk factors, and strategic direction across 100-300 pages. Autobound's AI models extract structured signals from these filings within hours of them hitting EDGAR, so sales teams get actionable intelligence without reading hundreds of pages.
Extraction covers 70+ distinct subtypes across categories like technology investment, organizational changes, regulatory concerns, growth initiatives, and risk factors. Each signal includes a natural-language summary, a detailed explanation with evidence, a relevance score, confidence level, and a direct link to the source filing. Because 10-Ks contain forward-looking statements about the next 12-18 months, disclosures like increased cybersecurity or AI infrastructure spending are strong buying signals.
Example Signal Subtypes
Data Schema
10-K Signal Data Schema
Every 10-K signal follows a normalized schema with company resolution, relevance scoring, and detailed evidence. Here is a real example from our production database.
{
"signal_id": "bfb35bca-818c-4f60-b69c-c119cb24eca2",
"batch_id": "2026-05-01-00-00-00",
"signal_type": "10k",
"signal_subtype": "cybersecurityInvestment",
"detected_at": "2026-01-11T08: 16: 43Z",
"association": "company",
"company": {
"name": "Elastic N.V.",
"domain": "www.elastic.co", // match on domain
"linkedin_url": "linkedin.com/company/elastic-co", // or match on LinkedIn URL
"industries": ["Enterprise Search", "Observability", "Security Analytics"],
"employee_count_low": 3000,
"employee_count_high": 5000,
"description": "Search-powered observability and security analytics..."
},
"contact": [],
"data": {
"summary": "AI-powered threat detection investment increasing as Elastic embeds ML across SIEM and endpoint security.",
"detail": "Elastic's 10-K discloses accelerating R&D investment in AI-driven security analytics, citing competitive pressure to embed ML-native detection into their Elastic Security platform...",
"relevance": 0.88,
"confidence": "high",
"sentiment": "positive",
"source_url": "https://www.sec.gov/Archives/edgar/data/1707753/...",
"technologies_mentioned": ["artificial intelligence", "machine learning", "SIEM"],
"fiscal_year_end": "04/30",
"filing_year": 2025,
"sales_relevance": "AI infrastructure and security tooling opportunity",
"signal_category": "technology"
}
}- GCS Bucket
- gs://autobound-10k-v1/
- Formats
- JSONL · Parquet
- Refresh
- Weekly
Applications
What teams build with 10-K Annual Report Signals
05 documented applications
- 01
Cybersecurity Vendors
Detect when companies disclose increased cyber risk, data breaches, or AI-driven security concerns in their annual filings. These risk factor disclosures indicate active budget allocation for security solutions.
- 02
Cloud & Infrastructure Sales
Identify companies announcing digital transformation initiatives, cloud migration strategies, or infrastructure modernization plans in their 10-K business description sections.
- 03
AI/ML Platform Providers
Find companies explicitly discussing AI investment, machine learning adoption, or automation initiatives. 10-K filings reveal multi-year investment commitments not visible in press releases.
- 04
Compliance & GRC Tools
Track companies disclosing new regulatory burdens, compliance requirements, or governance challenges. These filings reveal compliance gaps before the company issues an RFP.
- 05
Financial Advisory Services
Monitor for cost reduction programs, restructuring initiatives, margin pressure signals, and capital allocation changes that indicate a need for strategic advisory services.
Measured, Not Estimated
What's actually inside 10-K Annual Report Signals
Volumes, subtypes, geography, and join-key fill rates audited directly from our production database, so you can verify coverage before you buy.
Top subtypes
82 totalGeography
all 38 countries →Top industries
all industries →Join keys
fill rateSee the real records for yourself.
See full coverage & segmentation across all 35 signal types →
Worked Example
One signal, traced to outcome
One 10-K Annual Report Signals record followed from detection, through the action a rep took on it, to the measured result. Illustrative composite of observed customer workflows.
01 signal → 02 action → 03 outcome
Signal detected
Datadog files its 10-K revealing a 40% increase in AI infrastructure spending and new cybersecurity risk factors citing recent data breach attempts.
Action taken
Your SDR references the filing in a cold email to their VP of Engineering:
“Noticed from your latest 10-K that AI infrastructure is a top priority. Here's how we help companies like yours scale securely.”
Outcome
3x higher reply rate
Because the outreach is tied to a confirmed budget priority, not a generic pitch.
FAQ
Frequently Asked Questions
How quickly are 10-K signals available after a company files?
What's the difference between 10-K and 10-Q signals?
How many subtypes does the 10-K signal extraction cover?
Can I filter 10-K signals by industry or company size?
Do 10-K signals include the source filing URL?
How It Works
From Raw Data to Your Stack
Autobound ingests from SEC EDGAR, earnings call transcripts, financial data APIs, extracts structured signals with AI, and delivers them however your infrastructure needs.
Autobound Ingests
Raw data from SEC EDGAR, earnings call transcripts, financial data APIs is continuously collected and normalized across millions of sources.
AI Extracts & Scores
ML models extract 70+ signal subtypes with relevance scoring, confidence levels, and entity resolution.
You Receive
Structured JSONL delivered via your preferred method, updated on a weekly cadence.
REST API
Real-time access with subtype filtering
300 req/minGCS Push
Automated delivery to your bucket
JSONL + ParquetEnrich API
On-demand LLM-ranked insights
AI relevance scoringFlat File
Bulk exports for data warehouses
CSV, JSON, Parquet“We see a 30% increase in retention for users after they engage with IntentMail. Autobound's AI technology has been a game-changer for our Priority Engine platform.”
Justin Hoskins
VP of Product Strategy, TechTarget
Ready to License 10-K Annual Report Signals?
Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.