SHIVAM ITCS
Watch live interactive simulations of our multi-agent swarms, automated onboarding workflows, local LLM runtimes, and voice intelligence engines.
LOC: IN_RAJ
INF: SONNET_3.5
Voice AI Routing Engine
Real-Time Speech-to-Intent Orchestration
Our real-time voice intelligence engine intercepts incoming audio streams via WebSockets, performing speech-to-intent analysis in under 1.5 seconds. Integrated with Semantic Kernel and local Whisper models, it extracts key metadata (e.g., patient IDs or invoice numbers), maps request context, and executes backend operations. By bypassing latency-heavy cloud pipelines, it handles up to 100 concurrent channels at ₹0 runtime licensing costs, reducing support ticket queue times by 72% and offering a seamless, natural interactive feedback loop.
- ✦Sub-Second Latency: Local Whisper model and parallel gRPC stream parsing resolves audio under 1.5s.
- ✦Intent Classification: Multi-head classifier checks client context and routes requests to corresponding backends.
- ✦Zero Cloud Overhead: Offline container execution cuts processing fees to ₹0 per task.
- ✦Voice Alerts: Auto-dials operations center when high-risk alert triggers.
Sovereign AI Resolution Agent
Closing Customer Tickets Autonomously
Our customer support agents integrate directly with inventory databases and payment APIs to resolve order cancellations, refund routing, and shipping address updates dynamically. Governed by a strict compliance checker engine (Iron Dome), the swarm executes verified workflows while ensuring zero boundary leakage. Deployed on local lightweight runtimes, it handles queries around the clock at a 94% autonomous success rate, cutting support costs significantly.
- ✦Iron Dome Governance: Dual-LLM safety checkers verify compliance and prevent budget leaks on every ticket refund.
- ✦CRM Sync Loops: Updates CRM tables and order tracking in real-time.
- ✦94% Ticket Auto-Resolution: Resolves tier-1 support tasks without developer oversight.
- ✦Multi-Model Routing: Sends complex questions to premium LLMs, simple tasks to local runtimes.
Support That Resolves Itself
An AI agent that actually closes tickets — refunds, tracking, upgrades, cancellations — end to end, with a human in the loop only when it genuinely matters.
Workspace Provisioning Pipeline
Automating Onboarding & CRM Setup
This pipeline maps client onboarding steps into an atomic, durable sequence. By integrating CRM, billing systems, and cloud databases (using PostgreSQL and AWS API layers), it automates provisioning, permission setups, and team notifications. Built-in error boundary layers guarantee transaction rollbacks on API failures, preventing fragmented customer records and cutting onboarding cycle times down from 48 hours to just 4 minutes. A dedicated health monitoring node tracks the success rate of workspace provisioning, triggers retries automatically upon transient network failures, and logs execution latency for administrative audits.
Multi-Channel Social Publisher
Automated Promotion across X, LinkedIn & IG
An automated content distribution workflow that formats raw text, updates tags, scores copy alignment using tone-matching models, and schedules cross-platform posts. Using Node queues and REST adapters, it updates X, LinkedIn, and Instagram concurrently, returning live audit reports, performance logs, and publication metadata to internal Teams channels. The system automatically reformats core blog images and markdown files to social network layouts, ensuring optimized content delivery, cohesive visual styling, and higher user engagement metrics across all feeds without manual publisher oversight.
Trends to Insights Pipeline
Continuous Google Trends RSS Monitoring
A continuous background scheduler that polls RSS feeds and search trend indexes. The engine parses raw XML data, processes unstructured text utilizing lightweight vector indexing, runs duplicate filters, and outputs clean insights into custom dashboard grids, enabling proactive content marketing campaigns. It filters duplicate stories using vector similarity scores and extracts relevant tags and entities, generating weekly report digests that are exported directly into administrative dashboards and shared with internal marketing coordinators.
Claude Enterprise Intelligence
Securing Microsoft Graph API with SSO & MFA
A secure enterprise pipeline that accesses unstructured corporate files via Microsoft Graph API and runs compliance-guided synthesis. Built-in SSO/MFA governance nodes inspect security clearances before sharing data, ensuring zero corporate leakage while maintaining full search logs for regulatory audits. It features PII redaction capabilities that scrub database IDs and private credentials before sending context to Claude, outputting structured reports directly into Power BI dashboards for executives.
Operations Digest Pipeline
Aggregating Commits, Builds, & Metrics
Connects with developer and operations pipelines (GitHub, AWS, and server logs) to gather live status updates. The system uses lightweight local models to summarize build telemetry and error charts, pushing structured alert summaries directly to Teams, keeping engineers synchronized without dashboard fatigue. It aggregates commits and warnings from GitHub hooks alongside server health rates, compile validations, and support ticket queues to create weekly automated reports.
Workflow Automation System
Staggered Media Processing & Prompt Enhancement
A multi-modal creative production node that processes text prompts and reference frames through a prompt enhancement pipeline. It synchronizes asset requests across Gen-4 rendering models, delivering high-fidelity design updates to client dashboards automatically. The generator refines instructions using context-aware prompt templates, coordinating files across rendering nodes while logging GPU progress and file size limits.
Enterprise AI Runtime Stack
Multi-Agent Orchestration & Sovereignty Fabric
Visualizes the layers of a production-grade enterprise system: from Multi-LLM Routing and Interoperability Protocols (MCP, A2A) through the Agent Registry, RAG Search Engines, policy governance, pgVector databases, and observability stacks. This architecture allows developers to swap API models dynamically and enforce data security layers at runtime. It secures user memories in localized pgVector instances and manages tracer log outputs for cost transparency, providing structural integrity across varying runtime nodes.
Agent-First Developer Studio
Autonomous Coding, Preview Handoff, & Generation Loops
Emulates an agent-first IDE writing code, updating task checklists, opening local browser preview panels, populating form inputs, selecting LLM nodes, and compiling outputs on a continuous loop. The agent reviews specifications, updates code bases, runs validation scripts, launches sandboxed browser previews, and commits stable releases, showing how agentic coding operates inside secure loops.
- ✦Task Checklists: Updates a dynamic file-based list of remaining system requirements.
- ✦Sandboxed Runtimes: Runs compile validations in isolated local development environments.
- ✦Browser Previews: Renders form layouts and frontend components inside live emulators.
- ✦Automated Fix Loops: Rewrites code files automatically to resolve compile or build failures.
Sovereign Commander Architecture (SCA) Flow
Core Decision Nodes with Multi-Layer Bridges
A high-level visual representation of our proprietary reasoning stack. By decoupling core scheduling, security monitoring (Iron Dome), strategic planning, and adaptive patterns, it outlines how enterprise automation can execute complex workflows without central code bypass risks. The condensed structure highlights the flow from Sovereign Kernel up to Domain Adaptation, showing how strategic scheduling translates into local execution blocks safely and securely.
SCA vNext Complete 14-Layer Architecture
Decoupling Strategic Intelligence from Local Execution
The complete architecture blueprints of the Sovereign Commander System (SCA). Decoupling processing, memory fabrics, spatial indexing, self-healing diagnostics, and runtime environments ensures zero data leaks, full explainability audits, and resilient auto-recovery.
- ✦14-Layer Hierarchy: Fully decouples lower-level sovereign kernels from high-level intelligence models.
- ✦Durable Workflows: Built-in resilience nodes prevent system failure on runtime crashes.
- ✦Self-Healing Diagnostics: Automatically identifies and patches runtime build or pipeline errors.
- ✦Audit Controls: Full explainability logs trace decision processes step-by-step.
Fifteen Layers. One Command Deck.
15-Layer Interactive Command Deck
Progressive Disclosure of Layer Logic
An interactive dashboard allowing engineers to inspect the exact functionality of each layer in the 15-layer stack. Detailed definitions showcase execution triggers, billing constraints, custom plugins, and feedback loops across the system. This deck uses progressive disclosure to reveal layer-by-layer details of sovereign scheduling logic, displaying active status parameters, pre-loaded pack configurations, and core security modules dynamically upon clicks.
Agent-Native Technology Stack
Custom Infrastructure Designed for Infinite Domains
A comprehensive bento map highlighting our core technology choices: .NET Core for raw performance, Next.js for client interfaces, pgvector for semantic indices, and Python pipelines for retrieval learning, ensuring reliability and scale. The stack leverages C# for backend speed, React Server Components for streaming layouts, and FastAPI microservices for ML workloads, enabling robust operations across varied business domains.
AI Solutions That Execute, Scale, and Stay Within Budget
Every solution we build follows three principles. Autonomous execution. Agents that complete tasks, not just answer questions. Cost intelligence. Hybrid local plus cloud infrastructure that cuts bills by 40 to 70 percent. Production resilience. Governance, observability, and compliance built in from day one.
Agentic AI Systems
Build AI systems that perceive, reason, and act across your enterprise. Our agents integrate with your ERP, CRM, and databases via MCP protocols, execute multi-step workflows, and escalate to humans only when necessary. We do not treat AI agents as generic chatbots. We engineer them as production software with defined goal structures, planning layers, and tool-calling pipelines.
Multi-Agent Orchestration
One agent cannot do everything. We architect fleets of specialist agents that communicate via A2A protocol, delegate tasks dynamically, and return structured outcomes. Without orchestration, even capable agents duplicate work, produce inconsistent outputs, and create security blind spots. We eliminate shadow AI sprawl before it starts.
LLM Cost Optimization
Token-based billing is unpredictable. A single viral feature can 10x your API costs overnight. We implement model routing, prompt caching, and hybrid local plus cloud strategies that reduce LLM spend by 40 to 70 percent while improving response speed. Traditional FinOps tracks provisioned resources. We track tokens, attribute costs per feature, and enforce budget guardrails.
RAG and Knowledge Systems
Go beyond basic document search. We architect retrieval-augmented generation systems with semantic chunking, hierarchical indexing, multi-modal ingestion, and real-time knowledge graph updates. Your AI does not just search documents. It understands relationships, tracks version history, and knows what changed since yesterday.
MCP and A2A Protocol Integration
Connect any system to any AI agent using open standards. MCP at 97 million downloads for agent-to-tool connectivity. A2A backed by 150 plus organizations and the Linux Foundation for agent-to-agent coordination. Build once, connect to any agent, future-proof your architecture. No vendor lock-in. No fragile custom integrations.
GEO and LLMO Services
Your buyers are researching inside ChatGPT, Perplexity, and Gemini before they ever visit Google. If your brand is not cited in AI-generated answers, you are invisible to the next generation of decision-makers. We optimize your brand visibility inside AI-generated answers through citation engineering, entity authority building, and semantic content architecture.
Voice AI and Multimodal Agents
Build agents that process voice, images, video, and documents natively. From AI phone agents to field service voice interfaces, we create multimodal experiences that feel natural. Speech-to-text to LLM reasoning to image analysis to text-to-speech to action execution. All orchestrated through Commander Architecture.