๐ง Core Technology Overview
โก What Makes Radiant Different
๐ค AI Engine Capabilities:
- Contextual understanding: Grasps meeting purpose and outcomes
- Sentiment analysis: Detects emotional tone and engagement
- Decision intelligence: Identifies and tracks key decisions
- Predictive insights: Forecasts meeting outcomes and risks
- Smart prioritization: Ranks action items by importance
๐ฏ Beyond Basic Transcription:
- Meeting intelligence: Understands meeting dynamics
- Pattern recognition: Learns from organizational meeting data
- Automated insights: Surfaces hidden patterns and trends
- Workflow integration: Connects insights to business processes
- Continuous learning: Improves with more organizational data
๐ฌ Technical Architecture
๐๏ธ AI Processing Pipeline:
1. Capture
Audio/video processing with noise reduction
2. Transcribe
High-accuracy speech-to-text with speaker ID
3. Analyze
Radiant AI processes context and sentiment
4. Synthesize
Generates insights and actionable recommendations
5. Integrate
Pushes results to business systems
๐งฎ Machine Learning Models:
Language Understanding
Natural language processing for context and intent recognition
Sentiment Detection
Emotional tone analysis and engagement measurement
Decision Mining
Automated identification of decisions and commitments
๐ฏ Key Features Breakdown
๐ง Intelligent Meeting Analysis
๐ Sentiment & Engagement Tracking:
- Real-time mood detection: Positive, negative, neutral sentiment
- Engagement scoring: Participation level measurement
- Energy analysis: Meeting momentum and attention tracking
- Speaker confidence: Conviction and uncertainty detection
- Topic resonance: Which subjects generate most interest
๐ฏ Decision Intelligence:
- Automatic decision extraction: AI identifies all decisions made
- Decision confidence scoring: How final each decision appears
- Impact assessment: Predicted importance and consequences
- Follow-up requirements: Next steps and dependencies
- Decision history tracking: Links to related past decisions
๐ค Predictive Insights
๐ฎ Meeting Outcome Prediction:
Pre-meeting Analysis:
- โข Agenda quality assessment
- โข Participant preparation scoring
- โข Meeting success probability
- โข Recommended agenda improvements
Post-meeting Predictions:
- โข Action item completion likelihood
- โข Follow-up meeting probability
- โข Decision implementation timeline
- โข Stakeholder alignment assessment
๐ Pattern Recognition:
Team Dynamics
Identifies communication patterns and collaboration effectiveness
Topic Trends
Tracks recurring themes and emerging priorities
Success Factors
Learns what makes meetings effective in your organization
โก Smart Automation
๐ฏ Intelligent Action Item Management:
- Priority scoring: AI ranks tasks by urgency and impact
- Owner assignment: Suggests best person for each task
- Timeline estimation: Predicts realistic completion dates
- Dependency mapping: Identifies task relationships
- Progress tracking: Monitors completion status
๐ Workflow Automation:
- Calendar integration: Automatically schedules follow-ups
- CRM updates: Pushes relevant data to sales systems
- Project management sync: Creates tasks in Asana, Jira
- Email notifications: Smart summary distribution
- Approval workflows: Routes decisions to stakeholders
๐ฐ Pricing and Availability
๐ Radiant Feature Availability
| Plan | Price/Month | Basic Transcription | Radiant AI Analysis | Predictive Insights | Advanced Automation |
|---|---|---|---|---|---|
| Starter | $18 | โ Full | โ None | โ None | โ None |
| Pro | $24 | โ Full | โ ๏ธ Limited | โ None | โ ๏ธ Basic |
| Business | $39 | โ Full | โ Complete | โ Standard | โ Advanced |
| Enterprise | Custom | โ Full | โ Complete | โ Advanced | โ Custom |
๐ก Key Insight: Full Radiant AI capabilities require Business plan ($39/month) or higher. Pro plan includes only basic sentiment analysis.
๐ Value Proposition Analysis
๐ ROI Calculation (Business Plan):
- Monthly cost: $39/user
- Time saved per user: 3-4 hours/week
- Value at $50/hour: $150-200/week saved
- Monthly ROI: 384-513%
- Payback period: 5-7 days
๐ฏ Competitive Position:
- vs Gong: 70% lower cost, similar AI depth
- vs Chorus: 50% lower cost, faster implementation
- vs Fireflies: More advanced AI, higher price
- vs Otter: Enterprise features, 4x price
- vs Tldv: Better analytics, less video focus
๐ผ Real-World Use Cases
๐ข Sales Team Intelligence
๐ฏ Radiant Capabilities:
- Deal risk assessment: AI analyzes client sentiment and engagement
- Objection prediction: Identifies potential concerns before they arise
- Next best action: Recommends optimal follow-up strategies
- Competitor mentions: Tracks competitive threats and responses
- Buying signal detection: Flags high-intent moments
๐ Measured Results:
- Win rate improvement: 12-18%
- Sales cycle reduction: 15-25%
- Deal size increase: 8-12%
- Rep productivity: 20-30% boost
- Forecast accuracy: 35% improvement
๐ฅ Executive & Board Meetings
๐ญ Advanced Governance Features:
Decision Tracking:
- โข Formal vs informal decision identification
- โข Voting patterns and consensus measurement
- โข Decision rationale documentation
- โข Follow-up requirement generation
Risk Management:
- โข Compliance topic flagging
- โข Risk factor identification
- โข Regulatory implication alerts
- โข Audit trail maintenance
๐ Product Development Teams
๐ก Innovation Intelligence:
- Idea quality scoring: AI evaluates concept potential
- Feature prioritization: Impact vs effort analysis
- Team consensus tracking: Alignment measurement
- Technical risk detection: Implementation challenge identification
- Market validation insights: Customer feedback synthesis
โก Agile Enhancement:
- Sprint retrospective analysis: Pattern identification
- Blocker prediction: Potential obstacle forecasting
- Velocity optimization: Team performance insights
- Scope change detection: Requirement drift alerts
- Stakeholder alignment: Communication effectiveness
๐ How Radiant Compares
| Platform | AI Analysis Depth | Predictive Insights | Workflow Automation | Starting Price | Best For |
|---|---|---|---|---|---|
| โจ Supernormal Radiant | ๐ฅ Advanced | ๐ฅ Strong | ๐ฅ Good | $39/month | Mid-market teams |
| ๐ฅ Gong | ๐ฅ Advanced | ๐ฅ Excellent | ๐ฅ Advanced | $200/month | Enterprise sales |
| ๐ฅ Fireflies | ๐ฅ Basic | ๐ฅ Limited | ๐ฅ Good | $10/month | Basic transcription |
| ๐ฆฆ Otter.ai | ๐ฅ Basic | โ None | ๐ฅ Limited | $10/month | Simple meetings |
| ๐ฅ Tldv | ๐ฅ Basic | ๐ฅ Limited | ๐ฅ Basic | $20/month | Video-first teams |
๐ฏ Radiant's Competitive Position:
โ Advantages:
- โข Advanced AI at mid-market price
- โข Strong predictive capabilities
- โข Faster implementation than Gong
- โข More intelligent than basic tools
โ ๏ธ Considerations:
- โข Higher cost than basic alternatives
- โข Newer technology, less proven
- โข Requires Business plan for full features
- โข Learning curve for advanced features
๐ฏ Best Fit:
- โข 25-500 person teams
- โข Budget-conscious enterprises
- โข Teams wanting Gong-like features
- โข Organizations prioritizing speed
๐ Getting Started with Radiant
๐ Evaluation Framework
๐ Pre-Trial Assessment:
- Meeting volume: 10+ hours/week minimum to justify cost
- Decision complexity: High-stakes meetings with multiple stakeholders
- AI readiness: Team comfortable with AI-driven insights
- Integration needs: Existing CRM/project management systems
- Budget approval: $39+ per user monthly commitment
๐งช Trial Strategy:
- Week 1-2: Basic transcription and summary testing
- Week 3-4: AI analysis and insight validation
- Week 5-6: Workflow integration and automation setup
- Week 7-8: Team adoption and value measurement
- Decision point: ROI calculation and commitment decision
โก Implementation Best Practices
๐ฏ Success Factors:
Executive Buy-in
- โข Leadership models usage
- โข Clear value communication
- โข Resource allocation
- โข Change management support
Pilot Program
- โข Start with engaged teams
- โข Focus on high-value meetings
- โข Gather detailed feedback
- โข Measure specific outcomes
Gradual Rollout
- โข Expand based on success
- โข Train power users first
- โข Address adoption barriers
- โข Celebrate early wins