This AI CRM database organizes contacts, companies, deals, interactions, and tasks in a structured system designed for sales teams. Unlike Excel spreadsheets, it uses relational tables that connect automatically—link contacts to companies, track interactions across both, and manage deals with full context.
The database includes six connected tables: Users (sales reps with role-based access), Contacts (with company relationships), Companies (enriched with AI-powered industry, employee count, and activity descriptions), Deals (with pipeline stages and ownership), Interactions (emails and meetings timestamped and linked), and Tasks (assigned and tracked by deal). Each table enforces proper data types—dates stay dates, currency stays currency, and relationships stay connected.
Database AI agents automatically enrich company records by researching industry classification, employee counts, and business activity summaries from live web data. When you add a company name and domain, the AI fills in missing context without manual research—eliminating hours of data entry while keeping your CRM current.
Excel forces you to track customers, deals, and interactions across multiple disconnected sheets with fragile VLOOKUP formulas that break when data changes. As your pipeline grows, navigation becomes impossible, and maintaining data integrity across tabs turns into a full-time job.
Softr Databases enforce structure through proper column types—currency fields stay currency, dates stay dates, and relationships between tables are native. Instead of copying company names across sheets and hoping they match, you link contacts directly to companies through related records. Lookups and rollups pull insights automatically: see total interactions per company, count deals per contact, track pipeline ownership without formulas. One table equals one object—contacts in one place, companies in another, all connected seamlessly. This structure makes your data app-ready and eliminates the chaos of spreadsheet tabs.
Database AI agents research company details from the web and auto-fill industry, employee count, and activity descriptions when you add new records. The database tracks every customer interaction with timestamps and direction (inbound/outbound), then rolls up total interactions per company and contact. Deal pipeline management connects ownership, stages, close dates, and related tasks in one view, while user assignments ensure the right rep owns the right accounts—all enforced through proper relational structure instead of error-prone spreadsheet references.
Manage team members with roles and assignments for contacts and deals
Store lead details and track communication frequency and relationships
Monitor organizations using AI for industry classification and summaries
Track pipeline opportunities with ARR tracking and demo request history
Log all inbound and outbound communications across emails and meetings
Organize workflow items linked to specific deals and team assignments
This database helps teams tracking customer relationships without the complexity of enterprise software:
Modify the Deal Stage select field to match your actual pipeline (Discovery, Proposal, Contract Review), adjust Industry choices to reflect the sectors you serve, or add custom fields like Lead Source or Contract Value. Because this is a native Softr Database, you can rename fields, change select values, add columns for commission tracking, or create formulas for weighted pipeline calculations—all without breaking connections between tables.
Use CSV import to bulk upload contacts, companies, and deals from your current Excel sheets. For ongoing sync, connect via API to pull customer data from other tools automatically. The structured database format—with proper column types and relationships—means your imported data becomes immediately usable instead of requiring cleanup.
Once your CRM data is structured, build a sales portal using Softr's interface builder that connects directly to this database. Create dashboards where reps see only their assigned deals, build client portals where customers view interaction history, or design manager views showing team pipeline and task completion. Full-stack apps in Softr combine Database + Interface + Workflows in one platform. Configure users and permissions so sales reps edit their deals but only view others', admins manage all records, and clients access read-only company information. A well-structured database makes building these interfaces straightforward—proper relationships mean data displays correctly, and enforced column types ensure reliability across your sales app.
An AI CRM database organizes customer information—contacts, companies, deals, interactions, and tasks—in structured, connected tables that enforce data integrity. Unlike spreadsheets, it uses relational connections between tables and includes AI agents that automatically research and enrich company data from the web, eliminating manual data entry while keeping customer records current.
No-code databases let sales teams build production-ready CRM systems in hours instead of months, without developers or technical skills. You customize fields, configure AI enrichment, import existing data, and maintain the system independently—giving you full autonomy over your customer data. Unlike custom development that locks you into expensive updates, or rigid CRM software that forces your process into predefined workflows, a no-code database adapts to how you actually work.
AI in this database works two ways: the AI co-builder helps you write filters and formulas through prompts, and Database AI agents perform actions directly on database fields. Configure AI agents to research company industries, employee counts, and business activities from the web when you add new records, or summarize interaction history and categorize deal stages. Execution conditions let you trigger AI only when specific fields change—like enriching company data only when a domain is added—preventing unnecessary runs and credit waste while keeping your CRM current.
Yes, using Softr's interface builder that connects directly to this database. Create sales portals where reps manage their pipeline, client dashboards showing interaction history and deal status, or manager views tracking team performance. Configure permissions so sales reps edit only their assigned deals, clients view read-only company information, and admins control all records—showing the right data to the right people with proper editing rights based on roles.
Yes, free to get started. Databases are included in the free plan, and higher-tier plans offer increased database limits for scaling teams. All plans include unlimited collaborators, so your entire sales team can access and manage customer data together without per-user costs.
Excel forces you to track customers across multiple disconnected sheets with fragile VLOOKUP formulas that break when data changes. Spreadsheets allow mixed data types in the same column (dates, text, numbers together), making filtering and analysis unreliable. This database enforces proper column types, uses native relationships between tables instead of error-prone lookups, and includes AI agents that research and enrich company data automatically—capabilities Excel can't match. Navigation stays simple because one table equals one object type, unlike Excel where data sprawls across tabs.