Autonomous Multi-Agent Orchestrator
[ACTIVE]Self-correcting agent state graphs orchestrating document ingestion, regulatory evaluation, and automated exception reporting.
export const pipeline = createAgentGraph({
nodes: [DocumentParser, RiskAuditor, ComplianceFiler],
evaluationLoop: { maxRetries: 3, driftCheck: true },
security: "Zero-Trust-HIPAA-Compliant"
});Constructing mission-critical AI systems.
We do not build wrappers. We build production-grade software platforms with custom model pipelines, deterministic evaluation, and enterprise-grade security contracts.
Agentic AI Systems
Autonomous multi-agent orchestration, stateful workflow loops, self-correcting evaluation pipelines, and human-in-the-loop controls.
LLM Infrastructure
Hybrid vector search, custom RAG pipelines, fine-tuned domain models, prompt engineering systems, and automated evaluation frameworks.
Custom Software Architecture
High-throughput enterprise SaaS platforms, microservices architecture, sub-millisecond API endpoints, and resilient database schemas.
Cloud & Infrastructure
Multi-cloud orchestration across AWS, GCP, and Azure. Kubernetes clusters, serverless compute, and cost-optimized ML infra.
Machine Learning Engineering
Predictive analytics engines, computer vision quality control, recommendation algorithms, anomaly detection, and MLOps deployment.
FinTech Systems
High-frequency algorithmic trading platforms, real-time risk engines, automated regulatory compliance tools, and WealthTech applications.
Architected for mission-critical enterprise AI workloads.
Agentic Workflows
Autonomous multi-agent orchestration with state persistence, tool calling, and self-correcting evaluation loops.
// SinhaX Multi-Agent Loop
const agentState = await Orchestrator.execute({
task: "Audit cross-border regulatory compliance",
agents: [DocumentParser, RiskClassifier, AuditReporter],
maxSteps: 12,
fallbackStrategy: "human-in-the-loop"
});Engineered impact in production.
Autonomous Compliance Multi-Agent System
Engineered a multi-agent system orchestrating 12 compliance checks across regulatory filings, reducing manual audit turnaround from 4 days to 45 minutes.
Clinical Knowledge Retrieval Engine
Deployed a HIPAA-compliant hybrid RAG platform indexing 20+ years of clinical documentation, delivering accurate citations in sub-50ms.
Real-Time Telemetry & Predictive Analytics
Architected high-frequency Kafka stream handling 10M events/day with real-time route optimization ML models for 50,000+ fleet vehicles.
Built with mathematical rigor and production scale.
Multi-Agent Orchestration & Stateful Workflows
Self-correcting agent loops with persistent memory, OpenAPI tool invocation, and enterprise human-in-the-loop governance.
Hybrid Sparse-Dense Vector Index
Sub-50ms query latency over multi-terabyte enterprise knowledge repositories.
Multi-Cloud GPU Clusters
Cost-optimized model training and inference pipelines across AWS, GCP, and Azure.
Real-Time Streaming Intelligence Engine
Processing over 10,000,000 telemetry events per second with automated anomaly prediction models.
Advancing the boundaries of practical AI intelligence.
Our dedicated AI research lab publishes battle-tested architectures, state-graph orchestration frameworks, and vector search benchmarks.
Read Research Papers →Self-Correcting Evaluation Loops in Autonomous Agent Networks
We introduce a novel state graph orchestration pattern that reduces multi-agent task execution drift by 88% while enforcing formal safety constraints.
Read Full Paper →Sub-50ms Hybrid Sparse-Dense Vector Indexing for Enterprise Knowledge
A benchmark analysis comparing fine-tuning vs retrieval-augmented generation across multi-terabyte financial and clinical databases.
Read Full Paper →How we construct systems.
Deep Architecture Discovery
We map your engineering constraints, data topologies, security protocols, and target performance metrics.
Blueprint & System Contract
Delivery of rigorous architecture blueprints, OpenAPI specs, database schemas, and multi-agent state machines.
Iterative Engineering & Testing
Agile 2-week execution sprints with continuous integration, automated test suites, and transparent benchmark reporting.
Production Deployment & SLA
Zero-downtime deployment, automated monitoring, SLA-backed performance guarantees, and ongoing system optimization.
Tailored AI architectures for high-consequence industries.
Financial Services & Banking
Algorithmic trading platforms, automated regulatory compliance, real-time risk assessment, and fraud detection engines.
Healthcare & Life Sciences
HIPAA-compliant clinical RAG systems, medical imaging AI, patient journey analytics, and automated EMR documentation.
Supply Chain & Logistics
Fleet telemetry ingestion handling 10M events/day, route optimization ML models, and predictive maintenance pipelines.
Enterprise Tech & SaaS
AI-native product engineering, multi-tenant agent infrastructure, LLM evaluation pipelines, and high-scale API gateways.
Built by elite engineers.
SinhaX brings together expertise across AI, software engineering, cloud infrastructure, fintech, and quantitative technology to build next-generation intelligent software products.
Founder and CEO of SinhaX, leading the company’s vision across AI, software products, quantitative technology, and fintech innovation. Focused on building scalable technology products that combine artificial intelligence, financial technology, and advanced software engineering.
Leads product engineering and software development at SinhaX, with extensive experience in designing, developing, and delivering production-grade software systems. Responsible for translating business requirements into scalable technology products and managing the software engineering lifecycle.
Leads cloud infrastructure, deployment automation, DevOps, and production reliability at SinhaX. Focused on building secure, scalable, highly available infrastructure and establishing efficient CI/CD and deployment workflows for modern software products.
Leads AI research and development at SinhaX, focusing on intelligent systems, machine learning, generative AI, LLMs, and emerging AI architectures. Works on translating AI research into practical products, automation systems, and intelligent enterprise applications.
Senior Full Stack Development Head with over a decade of experience in the IT industry. Leads full-stack engineering initiatives, driving technical excellence and architecting scalable, enterprise-grade software solutions.
Software Development Engineer specializing in C++, Data Structures & Algorithms, Full-Stack Web Development, and Application Development. Contributes to building scalable software systems and product features across the SinhaX technology ecosystem, with a focus on efficient engineering and problem solving.
Perspectives on enterprise intelligence.
The Architecture of Production-Grade Multi-Agent Systems
Designing robust multi-agent systems requires careful consideration of orchestration, state management, and failure modes.
RAG vs Fine-Tuning: When to Use Each Approach for Enterprise AI
Understanding when to retrieve versus when to embed knowledge directly into model weights is a consequential decision.
Beyond Chatbots: How Agentic AI is Transforming Enterprise Workflows
The real enterprise value of AI is not conversational interfaces — it is autonomous agents that plan and execute multi-step tasks.
Ready to build custom AI infrastructure for your enterprise?
Connect directly with our senior AI research and engineering team to evaluate your system roadmap and technical requirements.