For AI SDR Platforms
The signal layer powering the next generation of AI SDRs
700+ signals from 35+ sources feed your AI agent with real-time context - funding rounds, hiring surges, leadership changes, tech adoptions. One API call. Sub-200ms.
Powering signal intelligence for 50+ platforms including ZoomInfo, 6sense, and RocketReach
The Problem
AI SDRs without signals send generic emails
Most AI SDR platforms generate outreach from the same stale firmographic data everyone else has. The emails sound like templates because they are templates - just with a name swapped in.
Without Signal Data
“Hi [Name], I noticed your company is in the [industry] space. We help companies like yours...”
→ 1-2% reply rates
Generic value props. No timing. No context. Straight to trash.
With Signal Data
“Congrats on the Series B - saw you're hiring 12 AEs this quarter. Most teams scaling that fast run into outbound personalization bottlenecks...”
→ 3-5x reply rates
Specific events. Perfect timing. Your AI sounds like it did the research.
How It Works
One integration. Infinite context.
Your AI agent calls our Signal API, gets structured signals, and generates personalized outreach. No data engineering required.
Your AI agent calls our API
Pass a company domain or contact email. One endpoint, 25+ configurable parameters.
Get structured signals back
Funding events, hiring changes, social posts, tech stack shifts - all normalized and enriched. Sub-200ms response.
Generate personalized outreach
Your AI agent uses real events as context to write emails that reference what actually matters to the prospect.
# Get signals for a company in real-time
curl -X GET "https://api.autobound.ai/api/v1/signals?domain=acme.com&types=funding,hiring,leadership_change,tech_stack" \
-H "X-API-Key: your_api_key"
# Response: structured signals ready for your AI agent
{
"signals": [
{
"type": "funding",
"title": "Acme raises $45M Series B",
"date": "2026-04-15",
"summary": "Led by Sequoia. Expanding sales team by 40%.",
"relevance_score": 0.94
},
...
]
}Signal Types
The signals that make AI SDRs effective
Not all signals are equal for outbound. These are the signal categories that consistently drive the highest reply rates when used by AI agents.
Hiring Signals
Department-level headcount changes, new role postings, hiring velocity trends. Your AI SDR references a company's 40% engineering growth when it reaches out.
Funding & Financial Events
Series rounds, debt raises, revenue milestones from SEC filings. Trigger outreach the day a prospect closes their Series B, not three weeks later.
Leadership Changes
New CXO hires, board appointments, VP-level moves. A new VP of Sales is 5x more likely to evaluate new tools in their first 90 days.
Tech Stack Changes
Technology adoptions and removals detected across 21M+ companies. Know when a prospect adopts a complementary tool or drops a competitor.
LinkedIn & Social Activity
Posts, comments, and engagement patterns from decision-makers. Reference what your prospect actually said last week, not a generic value prop.
Earnings & SEC Filings
AI-analyzed 10-K, 10-Q, 8-K filings. Growth drivers, risk factors, strategic initiatives extracted from hundreds of pages into structured fields.
Signal types
Data sources
API latency
Reply rate lift
Powering signal intelligence for 50+ platforms
AI SDR platforms using our signals
AiSDR
Integrated the Enrich API to power deeper personalization across their AI SDR platform. Consolidated 3 data vendors into one integration and saved 4 months of engineering time.
Building a platform? See data licensing for platform teams. Also read: Best B2B Data APIs for AI Agents.
FAQ
Frequently Asked Questions
How do AI SDR platforms integrate with Autobound?
One REST API call. Send a company domain or contact email, get back structured signals in under 200ms. We handle all the data sourcing, cleaning, and enrichment. Your AI agent gets ready-to-use context for personalization. Most platforms integrate in under a week.
What makes signal data different from contact or intent data?
Contact data tells you who to reach. Intent data tells you they might be interested. Signal data tells you what's actually happening at the company right now - funding rounds, leadership changes, hiring surges, tech adoptions. Signals give your AI agent specific, timely events to reference in outreach, not generic interest scores.
How fresh is the signal data?
Most signal types refresh daily or in real-time. SEC filings are processed within hours of publication. Social activity and job postings are captured continuously. You're always working with current data, not last quarter's snapshot.
Can we filter signals by type, industry, or company size?
Yes. The API supports 25+ configurable parameters including signal type, company size, industry, geography, date range, and more. You can request exactly the signals relevant to your use case and ignore the rest.
What's the pricing model?
Custom pricing based on signal types, volume, and delivery method. Most AI SDR platforms license a subset of signal categories via API. We price per company enriched or via annual data license - no per-seat fees that scale with your customer base.
How does this compare to building our own signal pipeline?
Building one signal type in-house typically takes 3-6 months and a dedicated data engineering team. You'd need to source, clean, normalize, and enrich data from each source individually. With Autobound, you get 35+ signal categories through one integration, maintained by our team. Platforms that switch from in-house save $500K+ annually in engineering costs.
Do you have case studies from AI SDR platforms?
Yes. AiSDR consolidated 3 data vendors and saved 4 months of development time by integrating our Enrich API. We work with multiple AI SDR platforms across different stages - from startups building their first signal features to established platforms expanding their data coverage.
Give your AI SDR the context it needs to close deals
700+ signal types. 35+ sources. One API call. Your AI agent writes emails that reference real events - not generic templates.