Technographic Intelligence
Technographics, vendor relationships, partner ecosystems, and buying signals. Built natively for AI agents and modern GTM teams. Know what technologies companies use, who they partner with, when they switch, and what that means for your pipeline.
Traditional data providers were designed for humans downloading CSVs on a quarterly refresh cycle. Your AI agents, your ABM campaigns, and your outbound sequences need something fundamentally different: data that's structured for machines, refreshed by demand, and accurate enough to act on without a human checking it first.
What Trace Sees
Not just tech stacks. Trace maps the full picture: technologies, vendors, partnerships, and the changes between them.
What software and infrastructure a company runs. CRM, marketing automation, analytics, cloud providers, dev tools, and more.
Which vendors a company actually pays. Subprocessor disclosures, integration footprints, and procurement signals reveal the real vendor map.
When a company adopts a new technology, switches vendors, or adds a new integration partner. Change signals are intent data. They tell you when a prospect is actively making buying decisions.
Who a company partners with, integrates with, and co-sells alongside. Integration directories, co-marketing signals, and technology alliances — structured and queryable at a scale nobody else maps.
Every company has a partner ecosystem, but that data has always been locked inside partnership directories, integration marketplaces, and co-marketing pages that nobody aggregates. Trace does.
Trace builds a structured map of who partners with whom across the entire market. That means you can answer questions that used to require manual research: Which companies have the most active integration ecosystems? Who just launched a new partnership? Which of my prospects already integrate with my technology partners?
For partnership teams, this is market intelligence that didn't exist before in a structured, queryable format. For sales and marketing teams, partner ecosystem data adds a dimension of targeting that tech stack data alone can't provide.
Who Uses Trace
The same dataset powers different workflows. Pick your entry point.
Build audiences from technographic signals. Target companies running the right stack or working with the right vendor ecosystem. Trigger campaigns when prospects make buying moves — not after the deal is already closing.
Enrich your CRM with demand-refreshed tech stack data. Score territories by vendor adoption. Get signal when accounts in your pipeline switch vendors, add integrations, or expand their tech footprint.
Query via REST API or MCP from your codebase or directly from your AI agents. Structured company intelligence on demand. Schema-stable responses built for automated workflows and agentic pipelines.
What Makes Trace Different
Not a legacy platform with an API bolted on. Trace was architected for AI agents and programmatic access from day one.
Trace uses a self-improving ecosystem of AI agents to monitor data signals, detect patterns, validate data, and supply technographic data at an unprecedented level of scope and quality.
Model Context Protocol support built in from launch. Your AI agents query Trace directly. No middleware, no translation layers.
Trace maps company-level data only. No personal data, no contact records, no compliance exposure. Built for teams that care about what tools a company uses — not who works there.
Companies being looked up most get refreshed most. Your active pipeline stays current. The long tail doesn't eat your refresh budget.
Consume It Your Way
Query Trace from your codebase, your AI agents, a browser, or directly inside your CRM. Four delivery mechanisms, one dataset, zero friction.
AI Ecosystem Partners
Get your API key and start querying company tech stacks, vendor maps, and partner ecosystems in minutes. No sales call required.
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