Openprise orchestrates your GTM data end to end, across your CRM, MAP, and data warehouse, so you stop firefighting data issues and start architecting real growth.
Your data is scattered across your CRM, MAP, enrichment tools, and spreadsheets. Duplicates everywhere. Fields that are empty. Routing that breaks weekly. And now you're supposed to be "AI-ready?" You can't scale AI on data you can't trust.
You have tools for pieces of the problem. Get them all in one place — from data quality to routing to enrichment — without point-solution sprawl.
Marketo and Salesforce shouldn't need a spreadsheet in between them. Connect your CRM, MAP, data warehouse, and PLG tools with bidirectional syncs and no custom code — so your data moves where it needs to go, without IT tickets or manual reconciliation.

Every list that comes in has problems: wrong columns, inconsistent formats, and missing fields. Validate, cleanse, deduplicate, and enrich inbound lists automatically — before a single record touches your CRM.

"VP Sales, N.A" and "VP of Sales, North America" refer to the same job, but your CRM doesn't know that. Openprise standardizes job titles, geographies, company names, and custom fields — including the ambiguous, malformed values that keyword rules miss entirely.

Duplicates degrade your routing accuracy, inflate your database costs, and make every report slightly less trustworthy. Find and merge the duplicates that rule-based methods miss — including records where names, domains, and addresses are just different enough to slip through.

A single enrichment vendor matches roughly half your records. Run your data through multiple vendors in sequence with a multi-vendor enrichment waterfall (MVE) — so you get maximum coverage without paying for redundant data or managing multiple contracts.

Routing failures aren't usually logic problems — they're data problems. Clean and match your lead data first, then apply your routing rules, so every lead reaches the right rep based on accurate territory, account ownership, and segment data every time.

Your scoring and grading model is only as good as the data behind it. Standardize and enrich your records first, then apply scoring logic — including AI-assisted demographic fit scoring for use cases where the nuances are too contextual to fit into a flat scoring table.

Keyword rules alone miss non-standard titles, non-English entries, and the edge cases that pile up at scale. Combine rule-based and AI-assisted segmentation to assign buyer personas and job roles accurately across your entire database — not just the easy 80%.

Clay builds the list. Your CRM gets the mess. Openprise is the enterprise data layer between your data tools and your systems of record — deduplicating, routing, scoring, and governing every record before it lands.

Poor data quality isn’t just a RevOps problem—it’s costing you real money. Follow this checklist to build a data foundation that drives business growth.
When your data actually works, so does everything else. Faster routing. Better alignment. Less manual cleanup. Your team goes from firefighting data problems to architecting the GTM stack you’ve always wanted.
One platform connecting your CRM, MAP, enrichment vendors, and data warehouses. All your GTM data, finally talking to each other.







See how leading GTM teams use Openprise to fix data and scale operations



Garbage in, garbage out. You already know this. Leadership wants AI across the stack, but your data isn't ready. AI doesn't fix that problem. It amplifies it. Openprise makes sure your data is clean and structured before any model touches it.
And when your data is clean, normalized, and pre-enriched beforehand, your prompts are smaller, your retries are fewer, and your token spend drops — by up to 73% on agentic workflows.