Revtik
AI-Powered Sales Enablement & GTM Intelligence Platform
Revtik is a multi-tenant B2B SaaS AI platform that enables sales consultancies and enterprise teams to operationalize proprietary sales methodologies at scale. The platform allows organizations to load customer-specific GTM (Go-To-Market) frameworks, knowledge bases, and sales methodologies into AI—delivering both structured sales deliverables and free-form contextual chat through a dual-mode AI architecture.
The key innovation is a dual-mode AI system: - Generator Mode for ontology-driven, structured outputs (discovery scripts, business cases, VSLs, email sequences) - Chat Mode for conversational exploration with full customer and GTM context loaded
This enables sales teams to generate precisely formatted outputs or freely explore ideas without losing organizational context.
Tech Stack
Project Gallery
Main dashboard with customer overview and quick actions
Dual-mode AI chat with GTM context injection
Real-time markdown preview for generated deliverables
PDF document generation and preview
GTM framework management with RDF/TTL ontology
Key Responsibilities
- Architected a dual-mode AI system supporting both structured generators and contextual chat via a unified skill engine
- Designed a dynamic context injection system loading customer-specific GTM frameworks (personas, pain points, competitors) into AI workflows
- Built a skill execution engine enabling structured deliverable generation such as discovery scripts, business cases, and email sequences
- Developed multi-tenant architecture with strict organization-level data isolation
- Implemented role-based access control (RBAC) with Super Admin, Org Owner, Org Admin, and Member roles
- Built customer onboarding flow supporting GTM framework uploads (RDF/TTL format) with automatic markdown previews
- Designed GTM framework storage using RDF/TTL ontology format with structured fields
- Implemented three-tier caching (Redis → PostgreSQL → MinIO) for fast AI context retrieval
- Developed real-time AI streaming chat with resumable streams for network resilience
- Built AI-powered document generators producing PDF, DOCX, Excel, PPTX, and Markdown deliverables
Key Achievements
- Enabled non-technical skill iteration by separating ontology ownership from output refinement
- Reduced GTM context load time by approximately 40% using Redis caching with intelligent invalidation
- Achieved 99.9% streaming reliability with resumable stream architecture
- Reduced manual sales deliverable creation time by approximately 80%
- Implemented dual-mode AI architecture allowing seamless switching between structured generators and free-form chat
- Implemented web search, web fetch, and document generation tools
- Multi-Format Document Generation & Preview: Enabled generation of PDF, DOCX, Excel, PPTX, and Markdown deliverables with real-time previews, streamlining sales collateral creation
- Built an intelligent chat system that automatically injects organization-specific GTM (Go-To-Market) data into AI context, enabling users to query customer personas, pain points, and sales strategies without manual context switching.
