Enterprise-Grade AI Systems That Scale

Building AI-native platforms for companies that operate across continents.

Vipra who writes code. Brahmin who builds systems.

4 Companies
200+ Team
3 Continents
15+ Years
0
% Uptime SLA
<200
ms Avg Latency
0
Daily Operations
24/7
Autonomous Ops
System Architecture
Client
Web / Mobile / API
API Gateway
Auth + Rate Limit
AI Router
Intent Classification
Agent Pool
20 Specialists
Database
PG + Qdrant + Redis
Response
Validated Output

Know AI Platform

AI-native ERP powering operations across USA, Canada, UK. Built with React 19, Next.js 15, PostgreSQL, and real-time AI agents that handle decision-making, scheduling, and resource optimization autonomously.

React 19 Next.js 15 PostgreSQL Python Redis

NAMH Global Forex CRM

90+ API endpoints, MetaTrader 5 integration, IB management, treasury controls, white-label ready. Full admin + client portal with real-time P&L tracking and automated compliance reporting.

FastAPI Next.js MT5 PostgreSQL Docker

Graymatter ERP

200+ employee digital agency management system. End-to-end project tracking, resource allocation, client billing, automated reporting, and team performance analytics across 3 offices.

React Node.js MongoDB AWS Docker

Custom SAP Integrations

Enterprise data pipelines connecting SAP, Salesforce, HubSpot with AI automation layers. Real-time data sync, intelligent routing, and predictive analytics across legacy and modern systems.

SAP Salesforce Python Kafka K8s
How We Deploy
Audit

Deep system analysis, infrastructure review, bottleneck identification

Build

Agent-assisted development, parallel specialist teams, CI/CD from day one

Launch

Zero-downtime deployment, monitoring, autonomous self-healing agents

What Clients Say
CTO, Know AI
"We needed a system that could handle 10,000 daily transactions across 3 countries with zero downtime."
Built a distributed AI pipeline with automatic failover, real-time sync, and self-healing agents. Deployed in 3 weeks.
CTO, Know AI
"Running 8 months now. 99.97% uptime. Best technical decision we made."
Agent Pipeline (Interactive)