Openprise

What it is

Openprise is a no-code data automation platform for RevOps teams. It runs scheduled “bots” that cleanse, standardize, deduplicate, enrich, match, route, and attribute records across the systems a go-to-market team already runs: Salesforce, HubSpot, Microsoft Dynamics 365, Marketo, Eloqua, Pardot, and Snowflake, with reverse-ETL writing results back into the operational tools. The San Mateo company was founded in 2013 by CEO Ed King, raised a $25 million Series B led by Morgan Stanley Expansion Capital in March 2024, and lists CrowdStrike, Clari, Zendesk, Nutanix, and Palo Alto Networks among its customers. It rates 4.9 on G2 across about 64 reviews, mostly from enterprise and mid-market buyers.

The work comes as 20+ prebuilt solutions (data essentials, deduplication, lead-to-account matching, routing, multi-vendor enrichment waterfalls, scoring, segmentation, and multi-touch attribution), each a set of bots you configure rather than code. A Data Marketplace lets one bot call several enrichment vendors in sequence.

What it is not: a contact database, a prospecting tool, or an AI agent. It sells no data of its own and sends no outreach. Its 2026 positioning, “AI orchestration,” means Openprise prepares and governs the data that agents in Agentforce, Copilot Studio, or Claude read, and exposes that logic to them through custom MCP servers and an API Factory.

Why it shows up in RevOps stacks

Two reasons. The first is breadth: an enterprise with Marketo feeding Salesforce, a warehouse, and three enrichment vendors needs one place where dedupe rules, territory logic, and normalization live, instead of four half-overlapping tools. Openprise is that place, and G2 reviewers single out its flexibility on complex routing logic.

The second is newer. On 2026-06-25 Openprise argued that much of a GTM team’s AI token bill pays for work an LLM should not be doing: classifying personas, inferring industry, and matching duplicates. Its worked example is an AI SDR workflow on 10,000 contacts a month that drops from about 23 million to 6.3 million tokens (73%) when those steps run as deterministic rules before the model sees the record. Treat the figure as a vendor model, not a benchmark; the logic still holds, because a rule that maps “VP, Rev Ops” to a persona costs nothing per run and gives the same answer every time.

Pricing

Checked 2026-10-05 on openprisetech.com/plans and Vendr’s marketplace listing:

• Professional: from $35,000 a year. Unlimited users, 400+ connectors, 250,000+ records per bot run, 1-year log retention, 5,000+ AI-orchestration API calls a day, 4-hour weekday support.
• Enterprise: custom, priced by record volume. Adds event triggers, custom connectors, API Factory, 10,000+ AI API calls a day, and 24/7 support with a 2-hour response.
• What buyers actually pay. Vendr puts the median contract at $75,600 a year, with a range of roughly $50,000 to $178,000; its top example is about $177,500 a year for 3.5-4.75 million records. Deduplication and lead-to-account matching are sold as separate solution add-ons, which is why few contracts land near the $35,000 floor.
• No free trial and no self-serve plan. Third-party reviews put deployment at about two months.

Best for

• A RevOps or marketing-ops team at a 500+ person B2B company running Salesforce or Dynamics plus Marketo or Eloqua, with 500,000+ records, several enrichment vendors, and a dedicated ops admin to own the bots
• Teams rolling out AI SDRs or account-research agents who want classification, dedupe, and matching done once, deterministically, before any token is spent
• Not for a HubSpot-only company under 200 people: Insycle does the hygiene for $1,200-$2,400 a year at 100,000 records. Not for teams whose only problem is routing.

Alternatives — and when to pick them instead

• LeanData: the routing category leader, with a visual FlowBuilder. Pick it when lead-to-account matching and routing are the whole problem; pick Openprise when routing is one step in a broader data-quality pipeline.
• ZoomInfo Operations (formerly RingLead) and Validity DemandTools: the other two established data-quality suites. Pick ZoomInfo Operations if you already license ZoomInfo data; pick DemandTools for a Salesforce-only org where an admin wants per-user pricing.
• Insycle: per-record pricing from $1 per 1,000 records a month. Pick it below about 500,000 records or when the stack is HubSpot-centered.
• Traction Complete: Salesforce-native matching and hierarchies. Pick it when data must never leave the Salesforce org.
• Clay: the fastest-growing entrant on the enrichment side, with self-serve plans from $167 a month. Pick Clay when the job is building and enriching prospect lists; pick Openprise when the job is governing the records already in the CRM.

Watch-outs

• The floor is not the price. The $35,000 list price buys the platform; the solutions you came for are add-ons. Guard: get a written quote that names every solution and the record tier, and benchmark it against the Vendr median before you negotiate.
• It needs an owner. G2 reviewers name a steep learning curve and an interface that overwhelms new users, and third-party reviews put time to ROI at about seven months. Guard: name one admin before signing, and start with dedupe and normalization before you build routing or attribution.
• Bad rules scale. A bot that runs hourly against a million records spreads a wrong normalization rule as fast as it fixes a right one. Guard: run every new bot in preview against a filtered sample, check the output by hand, then schedule it.
• The token savings are a vendor model. The 30-80% range comes from Openprise’s own press release. Guard: measure tokens per record on one agent workflow for two weeks before and after, and hold the renewal case to your number.

For the operating model around a tool like this, see CRM hygiene, lead routing, and waterfall enrichment.