context
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Salesforce logocrm

Context + Salesforce

Connect Salesforce account intelligence to your entire knowledge stack

Sales teams accumulate deep account knowledge inside Salesforce -- opportunity notes, activity logs, email captures, call transcripts, and custom fields that encode years of relationship history. Yet this knowledge remains locked inside the CRM, invisible to support engineers troubleshooting an escalation, product managers prioritizing roadmap decisions, or executives preparing for quarterly business reviews.

Context bridges this gap by connecting Salesforce data to your broader organizational knowledge graph. Every account, opportunity, contact, and activity becomes a node in a unified graph that links CRM records to support tickets in Zendesk, product documentation in Confluence, engineering decisions in Jira, and internal conversations in Slack. The result is 360-degree account intelligence that serves every team -- not just the sales rep who owns the deal.

Because Context deploys on your infrastructure, Salesforce data never leaves your network. Field-level security settings are respected, ensuring that restricted fields remain restricted even within the knowledge graph. For organizations subject to data residency requirements, this means CRM intelligence without compliance risk.

Key Capabilities

  • 01Account and opportunity knowledge extraction with full object hierarchy traversal, including parent-child account relationships and multi-currency opportunity tracking
  • 02Activity log narrative building that transforms scattered call logs, email captures, and task records into coherent account timelines accessible to any team
  • 03Email-to-case context linking that connects Salesforce email activity to Zendesk support tickets, revealing customer communication patterns across channels
  • 04Cross-object relationship mapping that follows Salesforce lookups and master-detail relationships to build a complete entity graph of accounts, contacts, opportunities, and custom objects
  • 05Field-level security awareness that respects Salesforce permission sets and field-level security within the knowledge graph, ensuring access controls carry over
  • 06Custom object and custom field support for organizations that extend the standard Salesforce data model with industry-specific or process-specific objects

Use Cases

Deal Preparation Intelligence

Before a client call, surface everything your organization knows about this account -- not just the Salesforce opportunity record, but related Zendesk support tickets, Slack channel discussions mentioning the account, Confluence meeting notes from previous engagements, and Jira feature requests they submitted. Sales reps walk into every meeting with complete context instead of scrambling across five different tools.

Revenue Risk Detection

Correlate declining Salesforce engagement metrics -- fewer logged activities, stalled opportunity stages, reduced email response rates -- with support ticket sentiment from Zendesk and product usage signals. Context surfaces accounts showing early warning signs of churn before they appear on any single-system dashboard, giving revenue teams time to intervene.

New Rep Onboarding Acceleration

When a new sales rep inherits a territory, they need months to build the account knowledge their predecessor accumulated. Context compresses this by providing instant access to the full relationship graph for every account -- past deal negotiations, support escalations, product feedback, executive relationships, and competitive dynamics -- all synthesized from Salesforce records and connected organizational data.

Cross-Sell and Expansion Intelligence

Identify expansion opportunities by connecting Salesforce account data with support ticket themes, product feature adoption signals, and internal discussions about customer needs. When a customer asks support about a capability they lack, that signal flows through the knowledge graph to the account team as an expansion opportunity with full context.

How It Works

SOURCESalesforceHubSpotGmailSlackPROCESSINGContext EnginePROCESSINGKnowledge GraphOUTPUTAnswers

Security & Compliance

SOC 2 Type IISOC 2 Type IIGDPRGDPRHIPAAHIPAAISO 27001ISO 27001

Deployment Options

DEPLOYMENT ARCHITECTURE

YOUR INFRASTRUCTUREOn-PremiseK3s / K8s / Bare MetalAPI ServerKnowledge GraphLLM (Ollama)PostgreSQLYour VPCAWS / Azure / GCPEKS ClusterKnowledge GraphKubeAI (GPU)S3 / BlobKARPENTER: GPU SCALE-TO-ZEROAir-GappedNo Internet RequiredAPI ServerKnowledge GraphOllama / MLXLocal StorageYOUR DATA NEVER LEAVES YOUR INFRASTRUCTURE

Frequently Asked Questions

Is Context compatible with Salesforce Shield and Platform Encryption?

Yes. Context connects through standard Salesforce APIs, which transparently handle Shield Platform Encryption. Encrypted fields are decrypted by Salesforce before reaching the API layer, so Context receives the data just as any authorized Salesforce user would. Deterministic encryption fields that support filtering continue to work as expected. Event monitoring data from Shield can also be ingested to enrich the knowledge graph with user behavior patterns.

Does Context support Salesforce custom objects and custom fields?

Fully. During connector setup, Context discovers all standard and custom objects in your Salesforce org through the Describe API. You select which objects and fields to include. Custom lookups, formula fields, and roll-up summaries are all supported. Junction objects are recognized and create appropriate graph edges between the records they connect.

How does Context handle Salesforce field-level security?

Context imports Salesforce permission sets and field-level security settings alongside the data. At query time, the knowledge graph evaluates these permissions against the requesting user. If a field is hidden from a user in Salesforce, any knowledge derived from that field is also hidden in Context. This ensures compliance with existing Salesforce access controls without manual configuration.

Can Context be deployed on-premise with Salesforce?

Yes. Context runs entirely on your infrastructure -- on-premise servers, private cloud VPCs, or air-gapped environments. Salesforce data is pulled into your deployment and never leaves your network. For air-gapped environments where direct API access is not available, Context supports bulk data import workflows using Salesforce data exports.

What impact does Context have on Salesforce API limits?

Context is designed to minimize API consumption. Initial sync uses Bulk API for high-volume data retrieval, which operates on a separate limit pool. Incremental sync uses Streaming API and Change Data Capture, which consume minimal REST API calls. Context also implements intelligent caching and deduplication to avoid redundant API requests. Most organizations see less than 5% of their daily API limit consumed by Context.

How frequently does Context sync with Salesforce?

With Streaming API enabled, changes appear in the knowledge graph within minutes. For organizations that prefer scheduled sync, Context supports configurable intervals from every 15 minutes to daily. Bulk operations like full re-sync can be scheduled during off-peak hours to minimize Salesforce performance impact.

Setup Overview

Deploy the Salesforce connector through the Context admin console. You will need a Salesforce Connected App configured with OAuth 2.0 scopes for API access and, optionally, Streaming API access for real-time sync. Context supports both production and sandbox Salesforce environments. Configuration involves selecting which objects and fields to include in the knowledge graph. Most organizations start with standard objects (Account, Contact, Opportunity, Activity, Task, EmailMessage) and add custom objects as their graph matures. Field-level security is imported automatically -- no manual access mapping required. For on-premise deployments, ensure your Context instance can reach Salesforce APIs. For air-gapped environments, Context supports scheduled bulk export/import workflows as an alternative to direct API connectivity.

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