Overview
Orthogonal is an AI reasoning platform designed for building structured, data-grounded intelligence applications. By connecting PredictLeads to Orthogonal via MCP, you can power AI agents and reasoning chains with real-time company data — allowing your application to make decisions based on current technographics, hiring activity, and company events rather than static training data.
Orthogonal is particularly suited for teams building AI applications that need to reason about specific companies — market intelligence tools, sales assistants, competitive analysis engines, and account-based prospecting agents.
Key Capabilities
Grounded AI Reasoning
Ground AI decisions in live company data rather than static model knowledge.
Agentic Data Retrieval
Build agents that query PredictLeads as a reasoning step within multi-turn workflows.
Technographic Signal Access
Provide agents with structured technology adoption data to power competitive intelligence logic.
Structured Output Generation
Produce consistently structured company intelligence summaries for downstream processing.
Getting Started
Set up your Orthogonal workspace
Create or log into your Orthogonal account and configure a new AI reasoning project.
Add the PredictLeads MCP server
Connect the PredictLeads MCP server to Orthogonal using your API credentials.
Define your reasoning chain
Build a reasoning workflow that calls PredictLeads as a data retrieval step when needed.
Deploy and integrate
Expose the agent via API or embed it into your application to serve live company intelligence.
Use Case
Scenario
A B2B SaaS company builds a market intelligence agent on Orthogonal that monitors their competitive landscape. The agent uses PredictLeads via MCP to track when target companies adopt or drop specific technologies. When a competitor's customer adds a technology the SaaS product replaces, the agent flags the account as a displacement opportunity.
Outcome: the sales team receives automated alerts on high-value displacement opportunities, enabling them to reach prospects at exactly the right moment in their technology cycle.