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Reduce administration risk
Bring metadata, permissions, org review, schema, API, and monitoring work into focused workspaces instead of scattered browser tabs.
Salesforce operations · Data · AI
DinaLab builds focused tools for teams that administer Salesforce, manage business data, and introduce AI into daily work. The goal is simple: less manual effort, clearer review, and stronger control over every action.
Business outcomes
DinaLab products are organized around the work business teams repeat every week: understand the org, change it carefully, and keep an evidence trail.
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Bring metadata, permissions, org review, schema, API, and monitoring work into focused workspaces instead of scattered browser tabs.
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Use spreadsheet-style workflows that show changed fields before updates and retain bounded local operation history for follow-up.
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Let AI reason over selected context and tool results while Salesforce API calls remain inside the extension and user confirmation remains authoritative.
Products
Each product solves a distinct operational problem and states clearly what is released, what is still in development, and what data it handles.
A business operations suite for metadata administration, org comparison, data work, permission tracing, org reviews, schema exploration, APIs, exports, and monitoring.
A spreadsheet workspace for Salesforce data with saved SOQL, reports, files, export formats, and explicit review of changed fields before confirmed updates.
An AI-powered Salesforce workspace that combines a context-aware side-panel assistant with metadata, data, org review, permissions, API, export, and monitoring tools.
Dina Agent 0.5.0
Version 0.5.0 brings the assistant and the operational workspaces together. Salesforce REST and metadata tools run inside the extension using the browser session. The AI receives only bounded context and tool results selected for the request.
Development preview. Not yet publicly released or approved for paid production use.
Business roadmap
Only products connected to business workflows are shown here. Status labels describe the current local development stage, not public availability.
Governed metadata retrieval to an approved GitHub repository through a branch and pull request.
Beta · 0.1.0Bring the Salesforce orgs already open in the browser into one operational side panel.
In development · 0.1.0Record, replay, and assert Lightning UI workflows from a business-readable test description.
In development · 0.1.0A voice-first work panel for Salesforce and GitHub tasks.
Prototype · 0.1.1A read-only voice assistant for asking questions about a signed-in Salesforce org.
Early build · 0.1.0A text-first, read-only Salesforce assistant using Salesforce Mobile SDK sign-in.
Early build · 0.1.0Bring the DinaSheet workflow into Google Sheets with direct Salesforce sign-in.
In developmentBusiness guides
Short, reusable playbooks for administrators, operations teams, and technical leads. Each guide explains the decision points, not only the buttons to click.
Release governance · 8 min
Build a repeatable evidence pack for limits, security, automation, permissions, and the changes that are about to move.
Data operations · 7 min
Separate selection, editing, review, execution, and rollback preparation so spreadsheet speed does not remove operational control.
AI governance · 9 min
Understand the boundary between local Salesforce tool execution, selected AI context, backend transport, and the final user confirmation.
Operating principles
These principles shape every product decision, from browser permissions to release labels and documentation.
Salesforce API tools execute in the extension. Session IDs and authorization headers are excluded from AI chat requests.
Write, deploy, update, and delete flows keep explicit review and confirmation steps visible.
Released, next release, beta, prototype, and development preview are kept distinct.
Manuals, privacy disclosures, and practical business guides explain both operation and decision-making.
Start with the operational problem