Revenue IntelligenceIn Progress
AI Generalist for Revenue Teams
Flagship platform that unifies prospecting, outreach, call analysis, and renewal insights into a single AI copilot purpose-built for revenue teams.
Problem solved
Revenue teams juggle disconnected point tools; insights live in silos and reps waste time switching contexts.
Tools used
LovableOpenAIClaudeSalesforceClayZapierAirtable
Key outcomes
- One unified copilot across the revenue funnel
- Consolidates 6+ point tools into a single workflow
- Designed for SDR, AE, and CS teams
Demo / case study coming soon
Revenue IntelligenceCompleted
AI SDR Copilot
An SDR-side copilot that researches accounts, drafts personalized outreach, and surfaces the next best action for every prospect.
Problem solved
SDRs spend more time on research and admin than on real conversations with buyers.
Tools used
ChatGPTClaudeApolloSalesforceZapier
Key outcomes
- Reduced prospect research time by 75%
- Increased qualified meetings by 30%
- Faster next-best-action decisions
Demo / case study coming soon
Generative AICompleted
Email Reply Agent
Reads inbound replies, classifies intent, and drafts context-aware responses in the rep's voice — ready to review and send.
Problem solved
Reps lose hours triaging inbox replies and often miss buying signals hidden in threads.
Tools used
OpenAIGmail APIZapierMakeAirtable
Key outcomes
- Auto-classifies replies (interested, objection, out-of-office)
- Cuts email triage time by 60%
- Never lets a warm reply go cold
Revenue IntelligenceIn Progress
Automated Lead Qualification Engine
Scores and routes inbound leads in real time using firmographic, behavioral, and intent signals.
Problem solved
Inbound leads sit in queues and lose momentum before a human ever looks at them.
Tools used
ClearbitOpenAISalesforceZapierGoogle Sheets
Key outcomes
- Real-time lead scoring and routing
- Higher SLA compliance on hot leads
- Cleaner handoff between marketing and sales
Demo / case study coming soon
AnalyticsCompleted
Revenue Intelligence Dashboard
AI-assisted reports that surface pipeline trends, rep performance insights, and recommended next actions.
Problem solved
Leaders can't see pipeline health across scattered CRM and activity data.
Tools used
Looker StudioChatGPTGoogle SheetsSalesforce
Key outcomes
- Eliminated weekly manual reporting
- Enabled self-service insights
- Faster forecast and pipeline reviews
Demo / case study coming soon
Business Use CasesLearning
AI Call Analysis System
Transcribes sales calls, extracts objections and next steps, and coaches reps with AI-generated feedback.
Problem solved
Call recordings pile up unreviewed; coaching insights and objections never make it back to the team.
Tools used
OpenAI WhisperGPT-4Gong-style pipelineZapier
Key outcomes
- Auto-summarizes every call
- Surfaces objections and next steps
- Scales coaching without adding managers
Demo / case study coming soon
AnalyticsIn Progress
Customer Renewal Risk Predictor
Predicts renewal risk from product usage, support signals, and CS activity so teams can act before churn hits.
Problem solved
CS teams see churn too late — after the customer has already checked out.
Tools used
PythonOpenAISalesforceSnowflake
Key outcomes
- Early-warning risk scores per account
- Prioritized save-plays for CS
- Reduces surprise churn at renewal
Demo / case study coming soon
Business Use CasesIn Progress
AI Knowledge Assistant for Sales Teams
A retrieval-augmented assistant that answers rep questions from playbooks, decks, battlecards, and past deals.
Problem solved
Reps waste hours hunting for the right collateral, pricing, or objection response.
Tools used
OpenAIPineconeNotionSlack
Key outcomes
- Instant answers grounded in your content
- Faster ramp for new hires
- Consistent messaging across the team
Demo / case study coming soon
No-Code AutomationLearning
Multi-Agent GTM Workflow
Orchestrates specialized AI agents — research, drafting, enrichment, QA — into an end-to-end go-to-market workflow.
Problem solved
Single-prompt AI tools break down on multi-step GTM work that needs handoffs and checks.
Tools used
LangGraphOpenAIClaudeMakeAirtable
Key outcomes
- End-to-end GTM tasks handled by agents
- Human-in-the-loop review at each stage
- Composable, reusable agent building blocks
Demo / case study coming soon