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Overview

Boost.space is a data centralisation platform that connects to your IT tools and aggregates their data into central databases. By integrating PredictLeads via Boost.space, you can streamline business processes, enable easy collaboration across teams, power process automation across tools, and perform data analysis with a complete story.

Boost.space is ideal for operations teams who need consistent, enriched account data across multiple systems without managing individual point-to-point integrations for each tool. It also supports AI-ready workflows via its Managed Connectivity Platform, letting your LLM of choice orchestrate PredictLeads directly.

Key Capabilities

Centralised Data Layer

Bring PredictLeads signals into a master data layer accessible to all connected tools.

Three-Way Data Synchronisation

Keep enriched company data in sync across CRM, spreadsheets, and marketing apps.

Data Quality Rules

Apply validation and transformation rules to enriched data before it propagates.

Automated Tagging & Segmentation

Segment accounts automatically based on signals — technology stack, hiring activity, or funding stage.

PredictLeads modules & actions in Boost.space

23 modules and actions are available, covering the full breadth of PredictLeads data.

Search Job Openings Search Company Job Openings Get a Job Opening Search Company News Events Get a News Event Search Company Financing Events Search Company Technologies Search Tracked Technologies Get a Technology Search Companies Using Technology Search Companies Get a Company Search Company Connections Search Company Products Search Products Get a Product Search Company Similar Companies Search Company GitHub Repositories Search Company Website Evolution Search Latest Posts Search Portfolio Companies List API Subscription Information Make an API Call

AI-ready data sync & MCP workflows

Connecting PredictLeads via the Boost.space Managed Connectivity Platform (MCP) eliminates data silos, delivers three-way data synchronisation, and powers AI-ready workflows for every use case. Your LLM of choice can orchestrate PredictLeads scenarios directly.

1

Create a scenario with an on-demand trigger

Build a Boost.space scenario using any PredictLeads module and set it to trigger on demand.

2

Generate your MCP API key

Create an MCP API key inside your Boost.space workspace to expose the scenario to external tools.

3

Insert the API key into your LLM

Add the key to Claude, ChatGPT, or any compatible LLM so it can play and list Boost.space scenarios with PredictLeads data.

Getting Started

1

Connect PredictLeads in Boost.space

Add PredictLeads as a data source in your Boost.space workspace using your API credentials.

2

Map signal fields to your data model

Define how PredictLeads fields map to your centralised data schema.

3

Configure outbound syncs

Choose which tools receive the enriched data — CRM, spreadsheet, or marketing platform.

4

Set a refresh schedule

Configure how often enrichment data is pulled and synced across your stack.

Use cases by team

From CRM enrichment to predictive market dashboards, PredictLeads powers automated signal workflows across teams.

Operations

  • Centralise PredictLeads signals into a single source of truth
  • Sync enriched account data to every tool from one place
  • Eliminate duplicated point-to-point integrations across the stack

Sales

  • Enrich accounts with hiring, funding, and technology signals
  • Keep CRM records updated automatically with fresh company data
  • Segment and prioritize prospects by growth activity

Marketing

  • Trigger ABM campaigns from hiring or funding events
  • Sync account segments across marketing tools from one data layer
  • Build signal-based audiences without manual list maintenance

Market Intelligence

  • Aggregate competitor signals into a centralised dashboard
  • Track technology migration and product launch trends
  • Build real-time sector reports across the full account universe

Resources

PredictLeads on Boost.space

boost.space/integrations/predict-leads-app

API Documentation

docs.predictleads.com

Need help?

Talk to PredictLeads or connect with an implementation partner.