Data orchestration for GTM teams | Openprise
Your data is messy and siloed
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.
Full-stack data orchestration, one platform
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.
All your systems, finally talking to each other.
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.
- No-code connectors for Salesforce, HubSpot, MS Dynamics, Marketo, Eloqua, Snowflake, and many more
- Bidirectional sync keeps every system current
System integration
Stop cleaning lists before you load them.
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.
- Auto-detection of misaligned and malformed data
- Deduplication and enrichment run at load time, not after
List loading
Bad data in. Clean data out.
"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.
- AI-assisted cleanup for non-standard values
- Standardizes across CRM, MAP, and warehouse simultaneously
Data cleansing & standardization
Stop counting the same account twice.
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.
- AI fuzzy matching for non-obvious duplicates
- Configurable merge logic built to your rules
Deduplication
One vendor leaves a 50% gap. Fill them!
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.
- 94% company match, 83% contact match with MVE
- Vendor-agnostic: Works with ZoomInfo, D&B, Clearbit, and more
Data enrichment & acquisition
Route every lead right. In under a minute.
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.
- Lead-to-account matching before routing decisions are made
- No-code rule builder handles complex territory and round-robin logic
Matching & routing
Score on data you can trust.
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.
- Demographic and behavioral scoring in one platform
- AI-assisted ICP fit scoring for complex segmentation logic
Lead & account scoring
Segment every record. Automatically.
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%.
- Hybrid AI and rule-based classification
- Multi-language and non-standard title support
Enterprise Data Bridge
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.
Clay data, minus the debt
Every Clay import enters your CRM as a clean, matched, deduplicated record. Scoring fires. Routing works. No manual cleanup after the campaign.
File data, fully operationalized
HG Insights and D&B deliver files. Openprise applies waterfall matching, merges with your CRM data, and fits every record into your account hierarchy.
Replace your list loading tool
If Integrate.io is just moving lists, Openprise replaces it — with governance, dedup, and full CRM automation built in. One fewer vendor contract.
Data quality action plan: 7 steps to RevOps data excellence
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.
Real ROI from cleaner, orchestrated data
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.
70% Improvement in rep-to-record alignment at Nutanix
85% Match rates with enrichment waterfall at Palo Alto Networks
90% Reduction in manual list loading work at Rubrik
Hundreds Of hours saved on with automated list loading Palo Alto Networks
Openprise integrations
One platform connecting your CRM, MAP, enrichment vendors, and data warehouses. All your GTM data, finally talking to each other.
Why teams choose Openprise
- Automates manual work (no more being a “data janitor”)!
- Continuous, always-on data automation
- No-code platform built for Ops, not IT
- Improves routing speed, match rates, and downstream accuracy
AI orchestration
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.