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Why Chain Of Custody is Key for Data Security and…
How a digital chain of custody improves data protection and AI outcomes If you’ve ever watched…
AI & Data Analytics Reimagined
Why AI & Data Analytics Needs a Better Foundation
AI initiatives are only as good as the data that feeds them – and Salesforce is often the richest, least-accessible source in your stack. Traditional pipelines flatten object relationships, drop metadata, and rely on slow, error-prone API pulls. Business teams are left waiting for data that’s incomplete, outdated, or unreadable by modern models.
Self-service BI and AI tools can’t deliver if the underlying data isn’t structured for analytics. CRMA offers visualizations, not access. And third-party ETL tools push your data into storage and infrastructure you don’t fully control or own.
GRAX solves this at the root. We stream structured, schema-intact Salesforce data directly into your data warehouse – Snowflake, BigQuery, Redshift – or data lake for seamless AI consumption every few minutes. No staging. No flattening. Just AI-ready with comprehensive data, metadata, history, and context baked in.
You can build dashboards, feed AI models, or run LLM queries – all from Salesforce data you own fully.
AI & Analytics Without Compromise
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Query-Ready Salesforce Data: Object relationships and metadata preserved – no flattening required.
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Continuous Data Streaming: Near-real-time updates into your data warehouse or data lake/lakehouse.
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Self-Hosted, AI-Ready Stack: Power analytics without sending data to third-party platforms that you don’t own.
How GRAX Solves AI & Data Analytics Challenges Differently
GRAX creates a direct bridge between your Salesforce orgs and your AI stack – without staging delays, API ceilings, or flattening failures. It runs inside your firewall, keeps your object structure intact, and syncs changes in near real time. Your business teams can ask real questions – and get trusted answers – using AI tools, SQL, or no-code query interfaces. Every dataset is owned, observable, and up to date.
Schema-Stable Sync
Object and field relationships are preserved – built for AI ingestion.
Live Data, No Lag
Replication runs every few minutes – not overnight.
Deploy Anywhere
Stream to any major warehouse or lakehouse – all under your control.
No-Code BI Integration
Connect tools like Tableau, Power BI, or ThoughtSpot with zero manual prep.
The best way to bring your SaaS data into compliance
FDA: Part 11
“implement controls, including audit trails… for software and systems involved in processing electronic data”
SEC: Risk alert
“Implement targeted policies and procedures to ensure ongoing monitoring of cloud-based platforms”
BASEL II
“Data backups, archiving, retrieval and restoration with 3-7 years of all data history”
GDPR: Article 30
“Records of processing activities must be maintained… and be made available to the supervisory authority on request.”
PCI DSS: Sec 10.3.x
“Implement automated audit trails… access to all audit trails; creation and deletion of system-level objects”
AICPA SOC
“Audit trails providing sufficient context (who, what, when, where, how) to allow for a rapid and accurate response.”
SOX Act: Sec 302, 404 & 409
“…outline how to create, modify and maintain accounting systcomputerems, including programs handling any financial data”
FISMA
“Require continuous monitoring activities”
PIPEDA: Principle 6 – Accuracy
“Keep personal information as accurate, complete and up to date as necessary… record the date when the personal information was obtained or updated.”
EU GMP – Annex 11 Sec. 9
“…the creation of a record of all GMP-relevant changes and deletions (a system generated “audit trail”)”
CCPA PWC
“…data inventory and mapping of in-scope personal data and instances of “selling” data”
FINRA
“Various policies and procedures protecting against unauthorized access to or use of customer records or information.”
Gramm-Leach-Bliley Act
“…safeguard sensitive data; know where sensitive customer information is stored and store it securely”
What our customers are saying
