One Customer View. The Foundation Every AI Agent Needs.
Data 360, powered by Salesforce Data Cloud, unifies every customer signal — transactions, behaviors, service history, and third-party data — into a single, real-time profile. Inforge implements Data Cloud from scratch, including ingestion pipelines, identity resolution, and the calculated insights that power your AI agents.
Your Data, Unified. Your AI, Grounded.
Salesforce Data Cloud (formerly Customer Data Platform) is the real-time data unification layer underneath Agentforce, Marketing Cloud, and Analytics. Without it, AI agents operate on partial, stale, or siloed data — and deliver inconsistent results. With it, every agent and every rep sees a complete, live customer profile. Inforge specializes in Data Cloud implementations that are clean, scalable, and ready for AI workloads from day one.
A proven process for every engagement
We inventory all your customer data sources — Salesforce, ERP, website, product, third-party — and map fields to Data Cloud's unified data model.
We configure real-time and batch ingestion pipelines for all sources, with transformation logic and error handling.
We implement your identity graph — merging duplicate profiles across sources into a single, authoritative customer record.
We build the segments and computed fields your sales, marketing, and service teams need to take action.
Data Cloud is connected to Agentforce, Marketing Cloud, and your BI layer so every downstream system benefits immediately.
Agentforce agents grounded in Data Cloud operate with full customer context — not fragments. This is the difference between useful AI and dangerous AI.
Identity resolution merges fragmented customer records, giving your team a single source of truth for every account.
Segments update as customer behavior changes — your teams act on current signals, not last week's export.
Data Cloud is Salesforce's strategic data layer. Building it now means every future AI or analytics capability has a clean foundation to run on.
Ready to unify your customer data?
Let's audit your current data landscape and show you what a clean Data Cloud foundation looks like in practice.