Crustdata

Overview

Crustdata is a specialized real-time B2B data platform engineered for AI agents and data-driven applications. It aggregates and structures business data from a wide range of sources, providing developers with a reliable stream of company and contact information. The platform emphasizes freshness and accuracy, helping AI pipelines avoid the problem of stale CRM or enrichment data.

Built on a modern, API-first architecture, Crustdata offers programmatic access to entity resolution, firmographic attributes, and person-level insights. Its low-latency data delivery and high-fidelity records are optimized for machine consumption, making it a suitable grounding layer for LLM-based agents, automated lead scoring, sales intelligence systems, and similar use cases that require trustworthy B2B signals.

Beyond raw data access, Crustdata is positioned as an infrastructure component for AI applications that need continuous, real-time updates. It supports both lookup and streaming-style integration patterns, enabling teams to add responsive data layers to tools such as chatbots, copilots, and internal research systems.

By reducing the friction associated with manual data collection and normalization, Crustdata helps businesses operationalize their GTM (go-to-market) intelligence at scale, bridging the gap between large-scale B2B data and agentic AI workflows.

Core capabilities

Real-Time B2B Data Feeds

Delivers continuously updated company and contact records, supporting AI agents with current rather than historical data.

Optimized for AI Agents

Designed with machine-readable schemas and low-latency endpoints, suitable for integration with LLM pipelines and retrieval-augmented generation (RAG) systems.

Comprehensive Firmographic Data

Covers key metadata such as industry, size, location, and technology signals for accurate company classification.

Person-Level Intelligence

Provides professional contact data, enabling lead identification and relationship mapping within target organizations.

API-First Integration

RESTful APIs and documented endpoints allow developers to embed B2B data directly into their products and workflows.

Streaming-Ready Architecture

Supports continuous data updates for real-time personalization, alerting, and dynamic agent behavior.

Entity Resolution Capabilities

Helps reconcile and deduplicate disparate business records into a unified view, improving data quality in downstream systems.

Scalable Data Infrastructure

Built to handle high-volume requests from multi-tenant AI applications and enterprise automation.

Use cases

Powering sales copilots with up-to-date company and decision-maker information

Enriching CRM records with real-time firmographic and contact data

Building automated lead scoring and routing systems

Feeding live B2B data to retrieval-augmented generation (RAG) based AI assistants

Providing contextual account context for customer success and support automation

Monitoring target accounts for trigger events and intent-driven alerts