For Platforms & Data Teams

Your AI product is only as good as the data behind it

28 proprietary signal sources, AI-enriched with fields you can actually activate - not raw dumps you need to clean up. Delivered via API, GCS, or flat file.

Trusted by 50+ data platforms including ZoomInfo, 6sense, and RocketReach

30%

retention increase

TechTarget

$500K+

annual savings

vs. building in-house

8x

faster to market

weeks, not 18+ months

Trusted by 50+ data platforms

ZoomInfo
6sense
RocketReach
Informa
Clay
Instantly
Warmly
UserGems
5x5
TechTarget
ZoomInfo
6sense
RocketReach
Informa
Clay
Instantly
Warmly
UserGems
5x5
TechTarget

“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.”

JH

Justin Hoskins

VP of Product Strategy, TechTarget

The Problem

Signal data is hard to build and expensive to maintain

In the age of AI, the quality of your product depends on the quality of your data. But most platforms are stuck managing a patchwork of vendors, internal pipelines, and data sources that barely keep up with what customers are asking for.

Your signal backlog keeps growing

Users want hiring data, SEC filings, social activity, patent tracking. Your engineering team has a roadmap full of signal types they can't get to because of bandwidth constraints.

Vendor data requires heavy lifting

Most data providers hand you raw dumps that need months of cleaning, normalization, and enrichment before they're useful inside your product.

Competitors are shipping faster

You're losing deals - or entire customers - to platforms that offer richer signal coverage. Every quarter without new data types is market share lost.

AI needs AI-enriched inputs

Raw data isn't enough. Your models need structured, enriched fields - pain points from a social post, sentiment from an earnings call, growth signals from hiring patterns.

Compliance risk is real

Some of your vendors acquire data in ways that may not hold up to scrutiny. You need sources that are defensible, not ones built on scraped or TOS-violating methods.

Building in-house doesn't scale

You could hire 5-10 engineers and spend 18 months building a pipeline for one signal type. Or you could license 28 of them this quarter and ship features next month.

Signal Catalog

28 signal sources, AI-enriched and ready to activate

Not raw data dumps. Every signal is processed through proprietary AI models that extract structured, actionable fields - pain points, sentiment, growth indicators, competitive moves - so your product team can build features on day one.

Financial

6 types

AI-analyzed 10-K, 10-Q, 8-K filings. Earnings call sentiment. Growth indicators extracted from raw SEC documents.

Social

5 types

Pain points from social posts. Product sentiment from reviews. Developer activity from GitHub. Community mentions from Reddit.

Workforce

5 types

Hiring velocity trends. Department-level growth signals. Leadership changes. Job posting analysis with role-level detail.

Market

5 types

35+ news event categories. Patent filings. Tech stack changes. Website intelligence. Competitive positioning shifts.

Delivery

Your data, your way

Every method includes schema documentation, backward compatibility guarantees, and dedicated engineering support.

01

REST API

Real-time access with 25+ configurable parameters. Low latency, high availability.

02

GCS Push

Automated delivery to your bucket on your schedule. Daily or weekly with delta updates.

03

Enrich API

On-demand, LLM-ranked insights for any contact. Just provide an email or LinkedIn URL.

04

Flat File

Bulk CSV or JSON exports for data warehouse ingestion. Custom schemas available.

Build vs. license

Every engineer you pull off your core product to build a signal pipeline is an engineer not shipping features your customers are asking for.

18+ months to build one signal pipeline

28 signal types, live in days

$500K+/year in infrastructure and headcount

A fraction of the cost, zero maintenance

Raw data that needs months of cleaning

AI-enriched fields ready to activate in your product

5-10 engineers pulled off your core product

Zero headcount - plug and play

Ongoing scraping, parsing, and compliance risk

Defensible sourcing with SOC 2 Type II

Limited to the signals your team has time to build

644 subtypes across financial, social, workforce, and market data

POC to production in weeks

1.

Discovery

We map your signal needs to our catalog and recommend the right delivery method.

2.

POC

Get a sample data feed running in days. Validate signal quality against your requirements.

3.

Integrate

Connect via API, GCS, or flat file. We provide schema docs and engineering support.

4.

Ship

Go live with full signal delivery, quality monitoring, and dedicated account management.

Built for platform teams

Sales & Marketing Tech

Your users are asking for better signals to power intent scoring, personalization, and triggered workflows. Instead of building data pipelines, ship 28 new signal types and differentiate against competitors who are already adding this data.

SEPs, ABM platforms, CRMs

Data & Intelligence Providers

Your customers compare you to every other data provider. Augment your product with proprietary AI-enriched signals from SEC filings, earnings calls, social activity, and hiring patterns that nobody else produces.

Data providers, intent platforms

Product & Engineering Teams

Your roadmap is full of signal types you don't have the bandwidth to build. Skip the 18-month pipeline project and ship signal-powered features to your users in weeks, not quarters.

Product leaders, data engineers

FAQ

Frequently Asked Questions

We already have data providers. Why would we add another one?

Most data providers sell firmographic and contact data. Autobound produces signal data - real-time behavioral and financial events that tell you what's happening at a company right now. SEC filing analysis, earnings call sentiment, social activity, hiring velocity - these are the signals your existing providers don't produce. We're not replacing your contact database. We're adding the intelligence layer on top of it.

How is this different from raw data I could scrape or buy elsewhere?

Raw data requires months of cleaning, normalization, and enrichment before it's useful. Every Autobound signal runs through proprietary AI models that extract structured, activatable fields - pain points from a social post, growth indicators from an SEC filing, sentiment from an earnings transcript. You get fields your product team can build on immediately, not CSV dumps your engineers need to parse for six months.

We have signal types on our roadmap we haven't been able to build yet. Can you help with that?

That's exactly why most platforms come to us. Your engineering team has a backlog of signal types they can't get to - hiring data, patent filings, Reddit monitoring, SEC analysis. Instead of staffing up a 5-person data engineering team and waiting 18 months, you can license all 28 signal sources and start shipping features next month.

How do you source your data? Is it compliant?

All Autobound signals come from publicly available, defensible sources - SEC EDGAR filings, public social posts, patent databases, published job listings, earnings call transcripts. No scraping behind logins, no TOS-violating methods, no gray-area data acquisition. We're SOC 2 Type II certified and built specifically for enterprise licensing.

What does 'AI-enriched' actually mean for the data?

Every signal type goes through domain-specific AI models. For example: a raw 10-K filing is 200+ pages. We extract the business risks, growth drivers, strategic initiatives, and competitive positioning into structured fields your product can consume. A social post becomes tagged with topic, sentiment, pain points mentioned, and relevance scores. This is the difference between having data and having intelligence.

Our competitors already offer some of these signals. How do we catch up?

You don't need to build what they built - you can license it. Platforms that try to build signal pipelines in-house typically spend $500K+ per year and 18+ months before shipping a single signal type. With Autobound, you can go from contract to proof-of-concept in days and have all 28 signal sources live in your product within weeks. That's how you close the gap.

What delivery methods do you support?

Four options depending on your architecture: REST API for real-time access with 25+ configurable parameters, GCS Push for automated batch delivery on your schedule, Enrich API for on-demand LLM-ranked insights per contact, and Flat File exports (CSV/JSON) for data warehouse ingestion. Every method includes schema documentation, backward compatibility guarantees, and dedicated engineering support.

How long does integration take?

Most platforms go from first conversation to proof-of-concept in under a week. Full production integration typically takes 2-4 weeks depending on delivery method and how many signal types you're licensing. We provide schema docs, sample data, and dedicated engineering support throughout.

Stop building signal pipelines. Start shipping features.

28 AI-enriched signal sources, ready to integrate. Custom pricing based on signal types, delivery frequency, and volume.