PLATFORM ARCHITECTURE

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.

ARCHITECTURE INTELLIGENCE BRIDGE

LIVE

SYSTEM STATUS

200+

Active Integrations

99.97%

Uptime

SOC 2 · GDPR

90-Day Deployment to Full Intelligence

PLATFORM OVERVIEW

Four layers. Five dimensions. One intelligence layer that never stops compounding.

LAYER 01Where data becomes unified

Data Foundation

200+ integrations unifying external and internal data sources across Revenue, Talent, Product, Operations, and Finance signals. Every dimension starts here.

LAYER 02Where data becomes intelligence

Intelligence Engine

Predictive scoring, pattern recognition, and institutional memory — processing signals across all five dimensions simultaneously. This is where data becomes intelligence.

LAYER 03Where intelligence becomes action

Automation Layer

Workflows, AI agents, and the Action Marketplace — delivering outcomes across every dimension. This is where intelligence becomes action.

LAYER 04Where action becomes memory

Interface Layer

Conversational AI, memory query, and universal context — surfacing intelligence where your teams already work. This is where action becomes organizational memory.

OUTPUT DIMENSIONS

Revenue

Talent

Product

Operations

Finance

All four layers feed all five dimensions simultaneously

💡 WHY THE ARCHITECTURE DECISIONS MATTER

Every architectural choice in CRED — real-time ingestion, cross-domain pattern recognition, two-tier institutional memory — exists to solve the same problem: your organization generates signals continuously across Revenue, Talent, Product, Operations, and Finance, but no system was built to connect them. The four-layer architecture is how CRED connects them. The five intelligence dimensions are what that connection makes possible. The compounding effect is what makes it a structural advantage, not a software subscription.

THE COMPOUNDING LOOP

Intelligence that compounds with every decision

CRED gets smarter with every signal, decision, and result — turning today's work into tomorrow's competitive advantage across all five dimensions.

Step 01

Capture Signals

Unify internal systems, external market data, and everyday interactions into a single intelligence foundation across Revenue, Talent, Product, Operations, and Finance.

Internal systems: CRM, product usage, support tickets, HRIS, finance, sales calls, email

External signals: Market moves, competitor activity, intent data, pricing shifts, hiring trends, news

Interactions: Meetings, email, notes, documents, workflows, decisions

→

Step 02

Score + Recommend Actions

Generate predictive scores and recommended actions that teams can act on immediately across all five dimensions.

Explainable scoring: Tied to your business logic

Configurable triggers: Playbooks by team

Delivered in context: Tools people already use

Confidence scores: For every prediction

→

Step 03

Learn From Outcomes

Close the loop by feeding results back into the intelligence layer — so scoring and recommendations improve over time.

Outcome tracking: What happened after the action was taken

Team feedback: Approve, adjust, or override recommendations

Performance data: Real results drive model improvement

Pattern evolution: Models adapt as your business changes

The Compounding Effect

INTELLIGENCE ACCURACY — COMPOUNDING OVER 4 QUARTERS

74%

81%

89%

Q3–4

94%

Y2+

74%

Intelligence Accuracy — compounding

Month 1–3

Baseline intelligence with external data + basic patterns across all five dimensions

Month 4–6

Models calibrated to your organization's unique patterns

Month 7–12

Predictive accuracy significantly higher than generic models

Year 2+

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.

DATA PLATFORM FOUNDATION

200+ integrations. Real-time sync. One source of truth.

INTEGRATION CATEGORIES

Signals Ingested: 1,400,000

Active

Customer Relationship Management

Salesforce, HubSpot, Microsoft Dynamics, Pipedrive, Copper

RevenueReal-time

Active

Human Resources & Talent

Workday, BambooHR, Greenhouse, Lever, ADP, Gusto

TalentReal-time

Active

Marketing & Advertising

Marketo, Pardot, Google Ads, LinkedIn Ads, 6sense

RevenueBatch — every 15 min

Active

Product & Analytics

Segment, Mixpanel, Amplitude, Heap, Google Analytics

ProductReal-time

Active

Communication & Collaboration

Gmail, Outlook, Slack, Microsoft Teams, Zoom, Calendar

TalentReal-time

NEW DIMENSION

Active

Finance & Operations

NetSuite, QuickBooks, Stripe, Bill.com

FinanceReal-time

Pending

Market Intelligence

ZoomInfo, Clearbit, BuiltWith, Crunchbase, PitchBook

OperationsBatch — every 15 min

Available

Custom Data Sources

REST APIs, webhooks, Snowflake, BigQuery, Redshift

AllConfigurable

View All 200+ Integrations →

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

INTELLIGENCE ENGINE DEEP DIVE

The brain that never forgets

Predictive Scoring

HOW IT WORKS

01Define what you want to score across any dimension — leads, accounts, candidates, partnerships, vendors, financial risk

02Select features that matter to your business (company size, intent signals, engagement)

03Train models on your historical outcomes (won deals, successful hires, retained accounts)

04Deploy scores across your tools (CRM, ATS, email, dashboards)

05Models improve automatically as new outcomes are recorded

MODEL TYPES

Classification

Yes/no predictions

Regression

Numeric scores 0–100

Time-to-event

When will something happen

Ranking

Prioritize a list

SCORING MODEL — ENTERPRISE ACCOUNT FIT

TRAINING

Intent Signals94

Engagement Rate78

Company Fit86

Timing Score62

Overall Score84

Confidence: High · 94% model accuracy

CONVERSATIONAL INTELLIGENCE

How the brain gets fed — automatically

WHY IT MATTERS ARCHITECTURALLY

Every meeting captured feeds the institutional memory layer directly — no manual input, no data loss between the conversation and the intelligence layer. The system learns from your organization's actual decision-making in real time.

AUTOMATIC CAPTURE

AI joins every scheduled call (Zoom, Teams, Google Meet)

Real-time transcription with speaker identification

Automatic summary generation

Action item extraction

Decision point identification

Sentiment analysis

INTELLIGENCE EXTRACTION

Key insights summarized

Follow-up tasks assigned

CRM fields auto-populated

Relationship signals detected

Competitive intel flagged

Risk signals surfaced across all five dimensions

ACTION MARKETPLACE ARCHITECTURE

From intelligence to automated outcomes

Pre-built Workflows

Ready Now

Designed by CRED's outcome engineering team. Based on common use cases across all five dimensions. Configurable to your specific business logic. Deploy in minutes, not months.

Custom Outcomes

Tailored

Built in collaboration with your team. Leverage your unique data and scoring models. Productized so other teams can reuse. Continuous improvement based on results.

ACTION MARKETPLACE — DEPLOYED OUTCOMES

6,547 total executions this week

Revenue

DEPLOYED

Expansion Signal → AE Alert

4,218 executions

Talent

DEPLOYED

Flight Risk → Manager Brief

1,092 executions

Product

REVIEW

Competitor Release → PM Digest

247 executions

Operations

DEPLOYED

Vendor Risk → Ops Ticket

834 executions

Finance

DEPLOYED

Covenant Signal → CFO Alert

156 executions

All

BUILD CUSTOM

Build Custom Outcome

Outcome Types

Workflows

Multi-step processes with conditional logic

Integrations across your entire stack

Human-in-the-loop for critical decisions

Automatic retry and error handling

AI Agents

Autonomous agents that execute complex tasks

Natural language task definitions

Learning from outcomes to improve over time

Guardrails and approval workflows for safety

Reports & Dashboards

Automated analysis and insights across all five dimensions

Scheduled delivery to stakeholders

Custom metrics and KPIs

Drill-down capabilities for investigation

Outcome Monitoring

REAL-TIME TRACKING

Every outcome execution logged

Success/failure rates monitored

Performance metrics tracked

ROI calculated automatically

CONTINUOUS IMPROVEMENT

A/B testing different outcome configurations

Model retraining based on results

User feedback incorporated

Best practices shared across teams

ENTERPRISE ARCHITECTURE

Built for Fortune 500 scale and security

Certifications

SOC 2

GDPR

View Trust Center →

Data Protection

Encryption at rest and in transit

Data residency options (US, EU, custom)

Access Controls

Role-based access control (RBAC)

Single sign-on (SSO) via SAML 2.0

Multi-factor authentication (MFA)

Audit logs for all access and changes

Monitoring

24/7 security operations center

Intrusion detection and prevention

Vulnerability scanning and patching

Incident response procedures

99.9%

Uptime SLA

Multi-region deployment

<1s

Query Response

Sub-second intelligence

Multi-region

High Availability

Automatic failover

Auto-scaling

Elastic Infra

Load balancing + CDN

Deployment Options

Cloud (Standard)

Fully managed by CRED

Multi-tenant with data isolation

Fastest time to value

Automatic updates and maintenance

Enterprise

Private Cloud (Enterprise)

Dedicated infrastructure for your organization

Enhanced security and compliance options

Custom SLAs and support

Your cloud account (AWS, GCP, Azure)

Select

On-Premises (Select)

Deployed in your data centers

Complete control over infrastructure

Air-gapped options available

White-glove deployment and support

TECHNICAL INTEGRATION

Built to integrate with your stack

REST API

Complete programmatic access to CRED

Comprehensive documentation

SDKs for Python, JavaScript, Java

Webhooks for real-time events

Rate limiting and throttling

GraphQL API

Flexible querying for custom integrations

Efficient data fetching

Real-time subscriptions

Type-safe schema

DATA MODEL FLEXIBILITY

CRED's integration layer is built to map to your existing data model — not the other way around. Custom field mapping is available across all integration categories, and data enrichment and entity resolution handle deduplication and quality without requiring you to restructure your source systems.

Integration Patterns

Bidirectional Sync

Changes in CRED update your systems

Changes in your systems update CRED

Conflict resolution strategies

Automatic retry on failures

Event-Driven

Webhooks for real-time notifications

Event streaming to data warehouses

Trigger CRED workflows from external events

Batch Processing

Scheduled data imports/exports

Bulk operations for large datasets

CSV and file-based transfers

Developer Resources

Documentation

API reference

Integration guides

Code examples

Best practices

Support

Error handling & SLA: All CRED-built integrations include native error handling, automatic retry on failures, and conflict resolution. API support response SLA is 24 hours standard across all tiers.

Technical account manager

Developer Slack channel

Office hours and training

Custom integration consulting

IMPLEMENTATION & SUPPORT

From contract to value in 90 days

Phase 1Weeks 1–2

Discovery

Technical requirements gathering

Data source identification

Security and compliance review

Integration planning

Phase 2Weeks 3–4

Data Integration

Connect data sources across all five dimensions

Data quality validation

Field mapping and enrichment

Historical data migration

Phase 3Weeks 5–8

Intelligence Configuration

Custom scoring model development across Revenue, Talent, Product, Operations, and Finance

Pattern recognition setup

Institutional memory structure

Conversational AI activation

Phase 4Weeks 9–12

Outcome Deployment

Action Marketplace configuration

Workflow setup and testing

User training and onboarding

Go-live and monitoring

Support Tiers

Standard

Email and chat support

24-hour response time

Knowledge base access

Quarterly business reviews

Premium

Recommended

24/7 phone and email support

4-hour response time for critical issues

Dedicated customer success manager

Monthly business reviews

Custom training programs

Enterprise

24/7 white-glove support

1-hour response time for critical issues

Technical account manager

On-site support available

Architecture reviews and optimization

Executive business reviews

READY TO GO DEEPER

Ready to see the platform in action?

Schedule a technical deep dive with our platform architects. We'll map your current stack against CRED's integration layer, walk your security team through the compliance documentation, and show you exactly how the four-layer architecture connects to the five intelligence dimensions your leadership team just saw — using your systems, your data environment, your deployment requirements.