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A domain-adaptive AI platform that deploys intelligent
Overview
Problem we are solving — Businesses need AI assistants that understand their industry, remember their customers, and integrate into real workflows. Today they choose between generic chatbots that lack depth or expensive custom AI builds that don't scale. Every new client or domain requires rebuilding from scratch. VantageMind solves this with a parent-child architecture: one core intelligence powers unlimited tenant-specific AI instances, each configured through data uploads rather than code changes. The result is an intelligent, context-aware assistant that adapts to any domain while maintaining persistent memory, tenant isolation, and a consistent persona users trust.
Current traction — Pre-revenue, MVP stage. Core platform built and deployed to AWS (ECS Fargate, Canada). Full backend operational: multi-model LLM integration (Anthropic + OpenAI), persistent sessions, cross-session memory, vector knowledge retrieval (pgvector), tenant/domain configuration, policy enforcement, and observability tracing. 1 pilot tenant (real estate agent) in onboarding. Admin API and API key system in active development.
Founder: Aryan Singh · LinkedIn: https://www.linkedin.com/in/aryan-singh-726825109/
Challenge
Businesses need AI assistants that understand their industry, remember their customers, and integrate into real workflows. Today they choose between generic chatbots that lack depth or expensive custom AI builds that don't scale. Every new client or domain requires rebuilding from scratch. VantageMind solves this with a parent-child architecture: one core intelligence powers unlimited tenant-specific AI instances, each configured through data uploads rather than code changes. The result is an intelligent, context-aware assistant that adapts to any domain while maintaining persistent memory, tenant isolation, and a consistent persona users trust.
Investment
Discovery
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