Koalify vs Tilores

Koalify is a web-based, HubSpot-native tool for identifying and merging duplicate contacts, companies, deals, tickets, and custom objects. Its matching rules can combine HubSpot properties such as email, phone number, domain, name similarity, and custom fields. For bulk cleanup, it can merge thousands of duplicates automatically through HubSpot workflow actions. Users can also view duplicate suggestions and merge records manually on HubSpot contact, company, deal, and ticket pages. Koalify properties can be used in HubSpot lists, reports, and alerts, including notifications to record owners. The service says it syncs only subscribed record types and properties used in duplicate, primary, or merge rules; temporary full-property backups may be made during merges unless backup is disabled. The free plan is for sandbox or demo accounts, or portals below 10,000 records. Pro costs $25 per month when billed annually, with pricing based on the selected objects’ total records rather than scans or merges.

Tilores resolves duplicate and conflicting records into unified entity profiles in real time. It maps, normalizes, and enriches fields such as names, phone numbers, and addresses before applying deterministic rules and fuzzy matching. Results can include explainable links, a quality score, and an audit trail. A real-time GraphQL API supports entity retrieval, ranked fuzzy searches, and aggregation of source records. Listed connectors include Salesforce, HubSpot, and Snowflake, alongside webhooks and event streaming. Deployment options include managed AWS, a customer's AWS account or another cloud, and on-premise installations. Developers can connect entity resolution to LangChain and Amazon Bedrock through IdentityRAG; the company says it works with any LLM through LangChain. Tilores Studio runs locally on macOS Apple Silicon, Windows x64, or Linux x86_64, storing data on the user's computer. Its free local mode allows up to 100,000 records per deployment. Production pricing is by custom quote, based on data volume, deployment, service requirements, and support.