Tech & SaaS Intelligence

Stop Buying "Tech" Lists.
Get Verified SaaS & AI ICPs.

The "Technology" category is useless. It includes everything from a local PC repair shop to Google. Our AI agents verify tech stacks, GitHub activity, and cloud usage to find verified B2B SaaS, AI Startups, and Enterprise Cloud users.

The "Technology" Data Gap

Why standard firmographics fail modern sales teams.

Knowing a company is in the "Technology" sector tells you nothing. You need to know what they build and how they build it.

If you are selling DevTools, Cloud Security, or API services, you need to filter out:

  • IT Repair Shops (Geek Squads)
  • Hardware Resellers (No dev team)
  • Legacy On-Premise Software (No cloud budget)
Metric Standard "Tech" List Our ICP Database
Classification Broad (SIC 737) Specific (e.g. PLG SaaS)
Tech Stack None AWS, React, Python, K8s
Buying Center IT Manager (Generic) CTO / VP Engineering
Maturity Unknown Bootstrapped vs. VC Backed

20 High-Value Tech ICPs

Target builders, not just users.

B2B SaaS (Vertical)

Software companies serving specific industries (e.g., Dental SaaS). High churn, high LTV targets for retention tools.

Generative AI Startups

Companies building on LLMs. Massive consumers of GPU cloud compute and vector databases.

Cybersecurity Vendors

Selling security products. Targets for penetration testing, compliance automation (SOC2), and threat intel.

E-commerce Enablers

Building tools for Shopify/Magento. Targets for partnership programs and payment infrastructure.

DevShops / Agencies

Building software for clients. High volume of projects. Targets for white-label tools and hosting.

Mobile App Publishers

Gaming and utility apps. Heavy users of attribution (AppsFlyer) and monetization ads.

Managed Service Providers (MSPs)

Managing IT for SMBs. Targets for RMM software, hardware distribution, and security stack resale.

Data Infrastructure

ETL, warehousing, and analytics tools. Selling to data engineers. Targets for cloud partnerships.

IoT Platform Providers

Connecting hardware devices. Heavy needs for edge computing, cellular connectivity (SIMs), and security.

EdTech Platforms

LMS and learning tools. High video bandwidth usage and gamification needs.

Indie Game Studios

Small teams building PC/Console games. Targets for Unity/Unreal assets and publishing deals.

Web3 / Blockchain DApps

Decentralized applications. Targets for RPC node providers, audits, and community tools.

HealthTech (HIPAA)

Telehealth and EMR integration. Strict compliance needs. Targets for secure cloud hosting.

No-Code / Low-Code Tools

Platforms enabling non-devs. Rapidly growing. Targets for API connectors and template marketplaces.

AdTech Platforms

DSPs, SSPs, and Exchanges. Extreme latency sensitivity. Targets for bare metal servers.

RPA (Robotic Process Automation)

Enterprise automation bots. Selling to Fortune 500. Targets for consulting and implementation.

Video Streaming Tech

Encoding and delivery platforms. Massive bandwidth consumers. CDN and storage targets.

Search & Discovery Tech

Enterprise search (Algolia competitors). Selling to e-commerce. Targets for vector databases.

Identity Verification (IdV)

Biometrics and auth providers. High security. Targets for government and finance contracts.

Logistics Tech

Supply chain visibility. Heavy mapping API usage and hardware integration.

Anatomy of a High-Value Tech Lead

In the technology sector, the "Product" is the code. Knowing what languages, frameworks, and clouds a company uses is the ultimate intent signal.

We extract deep "Technographic" profiles to help you route leads to the right AE.

Stack Fingerprints

  • Frontend: React vs. Vue vs. Angular (Hiring patterns).
  • Backend: Node.js vs. Python vs. Go.
  • Cloud: AWS (Startups) vs. Azure (Enterprise).

Team Signals

  • Eng:Sales Ratio: Product-Led (High Eng) vs. Sales-Led.
  • Remote Status: "Remote-first" keywords in job posts.
  • Leadership: Presence of a CISO indicates security budget.

Outreach Strategy: The "Displacement" Play

If you sell a monitoring tool, filter for companies using Datadog but hiring for "Cost Optimization".
Pitch: "Saw you're scaling on Datadog. We help engineering teams cut observability costs by 40%..."

Verification: The "Builder" Filter

We distinguish between companies that use technology and companies that build it.

  • Documentation Check: Presence of `/docs` or `api.domain.com`.
  • Status Page: Presence of `status.domain.com`.
  • GitHub Link: Linking to a public organization repo.

This ensures you don't waste time pitching API tools to a law firm that happens to use WordPress.

Target the Builders

Get the most accurate technographic data on the market.