Sicarius
Web Tech
Autonomous AI Agentic Stack Development & Generative Engine Optimization (GEO).
Engineering from India for global innovators.
We engineer
Engineering Next-Gen AI Stacks
Moving beyond fragile prompts into audited multi-agent state machines, private VPC clusters, and algorithmic Generative Engine Optimization (GEO).
Autonomous Multi-Agent Swarm Canvas
Closed-loop deterministic orchestration with automated error diagnosis, tool authorization, and atomic state transitions.
> Swarm idle. Ready for task dispatch...
Air-Gapped Private VPC
Dedicated vLLM & Ollama clusters hosted strictly inside your cloud perimeter with zero external data egress.
GEO Citation Radar
Continuous scanning across Perplexity, ChatGPT Search, Claude, and Gemini to secure brand citation prominence.
Model Context Protocol (MCP) Terminal
Interoperable, sandboxed database & API tool execution avoiding vendor lock-in.
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "query_enterprise_db",
"arguments": {
"read_only": true,
"egress_boundary": "vpc-isolated"
}
}
}
> Status: 200 OK • Execution: 14ms • 0 bytes data leak
Engineering Velocity Without Compromise
Headquartered in Mumbai, India, our systems engineers provide continuous delivery across global business corridors, combining elite technical rigor with 100% intellectual property ownership.
GEO & AI Agent Knowledge Base
Architectural considerations, data privacy guarantees, and generative search mechanics for modern CTOs and engineering leaders.
An Autonomous AI Agentic Stack is a deterministic production architecture combining multi-agent coordination, Directed Acyclic Graph (DAG) state machines, Model Context Protocol (MCP) tool integration, and continuous verification loops (Planner, Executor, Auditor). Unlike simple chat prompts, agentic stacks execute multi-step workflows with real-time API integrations, database auditing, and automatic error recovery.
Traditional SEO optimizes for keyword positions on legacy search engine result pages. Generative Engine Optimization (GEO) optimizes brand authority, information density, and semantic knowledge graphs so that AI engines—such as Perplexity, ChatGPT Search, Claude, and Google Gemini—cite and recommend your company as the authoritative answer source in synthesized responses.
Yes. We specialize in air-gapped, on-premise, and private cloud deployments (AWS, GCP, Azure, or dedicated GPU clusters) using vLLM, Ollama, and TensorRT-LLM. All weights, embeddings, and inference streams remain strictly within your perimeter, ensuring SOC2, HIPAA, and GDPR compliance with zero external data egress.
Headquartered in Mumbai, India, our engineering hub operates with overlapping timezone coverage across North America (EST/PST) and Europe (GMT/CET). We offer rapid 5-day onboarding, 2-week MVP delivery sprints, bilateral NDAs, and 100% intellectual property transfer upon delivery.
Model Context Protocol (MCP) is the open standard created by Anthropic that allows AI models to interface with external tools, APIs, databases, and local systems in a secure, standardized manner. By building on MCP, our agentic stacks eliminate proprietary lock-in and enable seamless integration with your existing software ecosystem.
You do. Sicarius Web Tech provides 100% intellectual property ownership transfer upon milestone completion, backed by bilateral Non-Disclosure Agreements (NDAs) and clean, enterprise-grade Git repositories.