Overview

Plauti groups suspected duplicates, scores each group, then applies merge rules or sends cases for review. That makes it useful for continuing CRM hygiene rather than only a one-time cleanup: teams can set different criteria for different objects and let confidence determine when automation is appropriate. The flexibility also puts responsibility on administrators to choose thresholds and rules that fit their data and tolerance for merge errors.

Key features

Matching and merge rules

For each object, teams can combine exact and fuzzy fields, assign weights, set score thresholds, add synonyms, and exclude frequent words. Master-record and field rules determine which record survives and which values carry over. This level of control can address varied duplicate patterns, though it requires thoughtful configuration. Optional AI suggestions assist manual merges; they do not replace the configured rules.

Scheduled automation and review

Groups above a chosen score can be merged in scheduled jobs, while lower-scoring groups wait for review. That split lets teams automate matches they judge sufficiently reliable without forcing uncertain cases through the same process. Plauti also supports duplicate prevention.

Coverage, processing, and safeguards

Detection covers standard and custom objects, including comparisons across two object types, and Plauti says jobs can process millions of records. Core capabilities run natively in the CRM; larger data processing can use Plauti Cloud or Desktop. For Salesforce, integrations include Apex API, REST API, Flow Actions, Apex plugins, and Plauti CLI tools.

Merges follow existing object permissions and sharing rules, and audit logs capture who merged what and when. Restore can recover merged records on supported objects, but converting a record to another object type is final. Teams should treat that conversion as a consequential decision, not assume every merge can be undone. Plauti cites ISO 27001 certification as evidence of its security commitment and says support requests are picked up within one working day.

Pricing

The Salesforce free version costs 0.00 USD per free and is available through AppExchange. It is a way for Salesforce teams to begin without a subscription, but full-edition features require a trial or custom pricing. The fully powered version has a 14-day trial.

The full Plauti Deduplicate plan has custom pricing based on record volume. Plauti says Clean is priced by records plus credits, while custom packages are quoted by Plauti. That makes volume and package scope central to budgeting; teams should confirm the quote before planning a larger deployment. The free edition is specifically a Salesforce version, while the product is presented for Salesforce and Dynamics 365 teams.

Platforms

Plauti lists API, self-hosted, and web platforms. Salesforce users also have the named integration options above; the product is presented for Salesforce and Dynamics 365 teams.

Who it's for

Plauti is a strong fit for CRM teams with administrators able to tune matching and merge behavior, especially those that want high-scoring groups handled automatically and ambiguous ones left for review. Its object coverage and stated ability to process millions of records suit substantial data-cleanup jobs. It is less compelling for buyers who need predictable published pricing or cannot accept the finality of record-type conversion.

Pros and cons

Pros: Per-object exact and fuzzy matching controls let teams adapt rules to different record types.
Pros: Scheduled merges and a review path let teams separate higher-confidence matches from uncertain ones.
Pros: Permission-aware merging, audit logs, and restore on supported objects add operational oversight.
Cons: Full-edition pricing depends on record volume and custom quoting, making cost harder to forecast.
Cons: Record-type conversion is final, so that operation carries more risk than merges that can be restored.
Cons: The free version is for Salesforce; teams needing full-edition functionality must use the trial or pursue custom pricing.

Alternatives

For an API or self-hosted workflow with a defined free local tier, Tilores offers Studio Local Mode at 0.00 USD per free for up to 100,000 records per local deployment, with no account or licence key. pyJedAI is a free option for Linux or Windows users who prefer a research project from the University of Athens’ AI-Team. Zingg may suit teams seeking an open-source batch option: its Community edition is 0.00 USD per free and supports probabilistic matching and millions of records.

Senzing Entity Resolution is another option; its 10M DSRs subscription is 58560.00 USD per year. Workbooks is a broader CRM alternative, with a 30-day free trial and a CRM plan at 47.00 USD per month. dedupe is a free alternative. For other options, see Data Deduplication Software, Data Cleansing Software, DQE One Unify, or R.

Verdict

Choose Plauti Deduplicate if your Salesforce or Dynamics 365 team needs configurable matching and a controlled path from scheduled merging to manual review. The combination of object-specific rules, automation, and audit controls is its clearest advantage. Look elsewhere if you need a predictable published price or cannot accept that record-type conversions are final.

	Insycle	Plauti Deduplicate
Free plan	No	Yes
Free trial	Yes	Yes
Paid from	$100/mo	Free
Open source	No	No
Platforms	Web	api, self-hosted, Web
Free plan	No	Yes
Paid from	100 /mo	—

Insycle vs Plauti Deduplicate

Insycle

Plauti Deduplicate