AI finds your real buyers. AI watches every sales conversation. You see where money leaks — and stop it.
Choose one — we'll show you the solution
LeadIntel handles inbound intelligence. PlaybookIntel monitors outbound execution. Together, they give you full-cycle revenue visibility — from first contact to closed deal.
Know whether a lost deal was a bad lead or bad execution — for the first time, marketing and sales accountability are separated.
Every human review improves AI qualification. Every sales insight retrains scoring models. The system gets smarter every week.
Both products share the same data layer — CRM events, messages, calls, transcripts. No reconciliation. No duplicates.
AI-powered inbound intelligence. From first WhatsApp message to sales handover — every lead is qualified, scored, enriched, and routed. Automatically.
An AI chatbot engages every lead instantly via WhatsApp — in English, Arabic, Hindi, and other languages. It gathers requirements, validates eligibility, detects VIPs, and disqualifies noise. 100% of junk traffic filtered before any human involvement.
Mines every conversation to extract structured data — nationality, visa type, destination, income range, VIP status, and 80+ more parameters. This data never reaches CRM otherwise: disqualified leads vanish without a trace. We capture intelligence from every single interaction.
ML model scores every unassigned lead by probability of closing. Gradient boosting on 150+ features. Retrained weekly. Scores written back to CRM in real time.
Connects the highest-scoring lead to the best available salesperson. Language matching, no cherry-picking. Like a Brazilian steakhouse — the rep signals "ready" and gets the best available lead.
Every AI decision has a review interface, a correction workflow, and quality metrics. A dedicated reviewer with senior sales background validates qualification accuracy — driving continuous improvement of the AI model.
Continuous monitoring of every sales conversation and call. AI detects behavioral patterns that kill deals — before they cost you revenue.
Combines rule-based triggers with LLM analysis across all messages and transcribed calls. Detects ~10 insight types: missed follow-ups, non-customized offers, insufficient discovery, ignored objections, and more.
Each insight type carries a weight derived from its measured impact on conversion. Per-rep scores are indexed against the team median. The result: a single number that reflects how much behavioral gaps actually cost in conversion terms.
Salespeople receive Slack notifications and have 48 hours to appeal. A dedicated reviewer sees the full context — insight, explanation, conversation, and call timeline — on one screen. Confirmed accuracy: ~95%.
Manager dashboard shows an insight heatmap — each rep vs. each insight type — for targeted coaching. Weekly dynamics track insight frequency and conversion side by side. Individual dashboards show personal improvement over time.
Every detected insight can be appealed within 48 hours. A dedicated reviewer sees the full conversation context on one screen — bringing confirmed accuracy to ~95%. Appeal patterns feed back into detection quality.
Each product delivers standalone ROI. Combine them and the gains multiply — because qualified leads plus accountable sales means zero blind spots.
You have enough salespeople, but too much junk traffic drowning real buyers.
Leads are fine, but you don't know why some reps close 3× more than others.
Full-cycle visibility. Know exactly where revenue leaks — inbound and outbound — and stop it.
Deployed with the UAE's largest visa services company processing ~12,000 inbound leads per month across English, Arabic, Hindi, and other languages.
Traffic became cheaper and more diverse. The sales team improved measurably within the first month. We can now see exactly where revenue is gained and lost.
Every lead state change is a Kafka event. Real-time streaming, idempotent processing, exactly-once semantics.
Ports & Adapters architecture. No service knows about a specific CRM. Bitrix, Salesforce, HubSpot — same interface.
WhatsApp, voice calls, future channels — unified message ingestion layer with full transcription and diarization.
Lead phases, quality flags, prompts, routing rules — all configurable via API. No deployments needed for business logic changes.
Gradient boosting on 150+ features. Weekly retraining. Real-time scoring written back to CRM. Model versioning and A/B testing built in.
Prometheus, Grafana, Loki. Every component instrumented. Kubernetes-orchestrated. Production-proven at 12,000 leads/month.
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