The Platform Architecture Behind Your Intelligence Layer
CRED is built for enterprise scale—200+ integrations, predictive models, institutional memory, and continuous learning. Here's how it works under the hood.
Data
200+ sources
Models
Predictive memory
Actions
Workflow graph
Context
Universal query
One platform. Four layers. Infinite intelligence.
The architecture stays legible because every layer has a clear job: capture the world, reason over it, trigger action, and return context where people already work.
Data Foundation
200+ integrations unifying external and internal data sources
Intelligence Engine
Predictive scoring, pattern recognition, institutional memory
Automation Layer
Workflows, AI agents, and the Action Marketplace
Interface Layer
Conversational AI, memory query, universal context
Intelligence that compounds with every decision
Every signal, decision, and result becomes a reusable input. The platform turns today's operating work into tomorrow's competitive memory.
Capture Signals
Unify internal systems, external market data, and everyday interactions into a single intelligence foundation.
Score + Recommend Actions
Generate predictive scores and recommended actions that teams can act on immediately.
Learn From Outcomes
Close the loop by feeding results back into the intelligence layer—so scoring and recommendations improve over time.
The Compounding Effect
Accuracy improves as outcomes return to the memory graph.
Baseline intelligence with external data + basic patterns
Models calibrated to your organization's unique patterns
Predictive accuracy significantly higher than generic models
Organizational intelligence becomes nearly impossible to replicate
Your Competitive Moat
Unlike traditional software that requires constant maintenance, CRED becomes more accurate and more specific to your organization with every decision tracked. The longer you use CRED, the harder it is for competitors to replicate your intelligence advantage. Your institutional memory becomes your moat.
200+ integrations. Real-time sync. One source of truth.
CRED normalizes operational, market, and communication data into one enterprise memory layer with auditable processing paths.
Customer Relationship Management
Salesforce, HubSpot, Microsoft Dynamics, Pipedrive, Copper
Human Resources & Talent
Workday, BambooHR, Greenhouse, Lever, ADP, Gusto
Marketing & Advertising
Marketo, Pardot, Google Ads, LinkedIn Ads, 6sense
Product & Analytics
Segment, Mixpanel, Amplitude, Heap, Google Analytics
Communication & Collaboration
Gmail, Outlook, Slack, Microsoft Teams, Zoom, Calendar
Finance & Operations
NetSuite, QuickBooks, Stripe, Bill.com
Market Intelligence
ZoomInfo, Clearbit, BuiltWith, Crunchbase, PitchBook
Custom Data Sources
REST APIs, webhooks, Snowflake, BigQuery, Redshift
Customer Relationship Management
Salesforce, HubSpot, Microsoft Dynamics, Pipedrive, Copper
Bidirectional sync, custom field mapping, real-time updates
Ingestion
- Real-time streaming for time-sensitive data
- Batch processing for historical data
- Change data capture (CDC) for incremental updates
Enrichment
- Automatic data enrichment from external sources
- Entity resolution and deduplication
- Data quality scoring and validation
Storage
- Encrypted at rest and in transit
- Data residency options (US, EU, custom)
- Audit logs for all data access
The brain that never forgets
Models, memory, and explanations sit in one framed system so operators can inspect why a signal matters before they act.
Predictive Scoring
How It Works
Model Types
How the brain gets fed automatically
Meetings, email, browser context, and natural language memory queries keep the intelligence layer current without forcing teams into a new workflow.
Meeting Intelligence
Automatic Capture
Intelligence Extraction
From intelligence to automated outcomes
Signals are useful only when they change the work. The marketplace translates model output into workflows, agents, reports, and tracked business outcomes.
Pre-built Workflows
Ready NowDesigned by CRED's outcome engineering team based on common use cases across customers. Configurable to your specific business logic. Deploy in minutes, not months.
Custom Outcomes
TailoredBuilt in collaboration with your team. Leverage your unique data and scoring models. Productized so other teams can reuse. Continuous improvement based on results.
Outcome Types
Workflows
AI Agents
Reports & Dashboards
Outcome Monitoring
Real-Time Tracking
Continuous Improvement
Built for Fortune 500 scale and security
Security, deployment, and availability are framed as first-class architecture concerns, not procurement footnotes.
Certifications
Data Protection
Access Controls
Monitoring
Uptime SLA
Query response time
High availability
Elastic infrastructure
Deployment Options
Cloud (Standard)
Private Cloud (Enterprise)
On-Premises (Select)
Built to integrate with your stack
CRED exposes programmatic surfaces, sync patterns, and developer support so architecture teams can wire it into existing systems cleanly.
REST API
GraphQL API
Integration Patterns
Bidirectional Sync
Event-Driven
Batch Processing
Developer Resources
Documentation
Support
From contract to value in 90 days
Implementation is presented as a sequenced operating plan: discovery, integration, intelligence configuration, and outcome deployment.
Discovery
Data Integration
Intelligence Configuration
Outcome Deployment
Support Tiers
Standard
Premium
RecommendedEnterprise
Ready to see the platform in action?
Schedule a technical deep dive with our platform architects. We'll walk through the architecture, discuss your specific use cases, and show you how CRED can become your intelligence layer.