Address
USA | India

Email
info@nexaitech.com

AI Infrastructure Consulting for FinTech, SaaS, and Cloud Platforms.

We deliver compliance-grade cloud systems, LLM pipelines, and engineering solutions for high-trust industries.

Who We Work With

We operate as strategic partners — from architecture and ML pipelines to secure backend engineering and audit-grade infra delivery. Every engagement is system-designed and regulation-aware.

AI & Data Product Teams

From LangChain pipelines to fraud ML models, we architect LLM + ML systems with observability, auditability, and secure inference.

FinTech & Financial Platforms

We build compliance-grade infrastructure for SOC2 SaaS, AML pipelines, cloud hardening, and secure credit scoring stacks.

SaaS & Platform Engineering Teams

We partner with CTOs and Heads of Engineering building scalable, secure SaaS and platforms — from infra to CI/CD to cost governance.

Infra, Security & Compliance Leads

We help with Terraform/IaC, VPC/IAM security, FinOps dashboards, token hardening, and DevSecOps — across AWS and enterprise stacks.

secure cloud

Our Operating Model

How We Work

All engagements are infrastructure-led — aligned with AI platform architecture, DevOps for regulated SaaS, and cloud cost optimization principles.

Outcome-Driven Engagements

We define architecture before execution — aligning with FinOps compliance, ML pipeline outcomes, and business-critical metrics.

We’re not ticket-solvers. We’re system owners.

Secure End-to-End Delivery

From Terraform-based provisioning to CI/CD hardening, every system is built for compliance-grade infra, observability, and scale.

Delivery begins at architecture and ends at trust.

Speed, Risk & Compliance in Sync

We ship with speed, but never at the cost of security.

Our stacks meet standards like SOC2 SaaS engineering, DevSecOps integration, and cloud cost optimization from day one.

What We Deliver

LLM Observability Dashboards

AI & Applied Intelligence

We build LangChain pipelines, secure RAG stacks, and LLM observability systems — with MLOps workflows and agentic orchestration.

Cloud & Infrastructure

From Terraform IAM, multi-tenant cloud VPCs, to FinOps dashboards, our architecture-first cloud delivery spans AWS, serverless, and hybrid stacks.

FinOps Dashboard

Product Engineering

We architect API-first platforms, RBAC-enabled SaaS backends, and full-stack systems with CI/CD hardening, telemetry, and security embedded.

Security & Compliance

We embed SOC2 SaaS controls, audit trail logging, token security, and DevSecOps pipelines across cloud and AI systems.

Insights

Our take on scaling platforms, securing infrastructure, and building AI systems that hold up under pressure

The Readiness Checklist for Serious Product Teams

A practical checklist used by tech, infra, product, and AI teams to identify risks before scale, compliance reviews, or audits. Designed to help you catch gaps in architecture, infra, and AI delivery — before audits, users, or partners do.

Covers:

This checklist helps founders, tech leads, infra leads, and security owners evaluate whether their systems can survive growth, audits, and production demands.

✅ Clean service boundaries and secure API surface
✅ Multi-environment cloud setup (dev, staging, prod)
✅ Role-based access and least privilege enforcement
✅ Scalable multi-tenant SaaS logic with usage controls
✅ Logging, observability, and alerting pipelines in place
✅ Secure prompt handling and inference logging (for AI/LLM)
✅ Readiness for SOC2, ISO, and PCI DSS audit scopes
✅ Cost governance, infrastructure tagging, and visibility
✅ PII protection and incident workflows structured for FinTech-grade scrutiny

Fill this form to get our Checklist

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Technology Stack and Standards We Build On

We design and deliver systems aligned with industry-grade security, modern cloud infrastructure, and advanced AI and product tooling — trusted by FinTech, SaaS, and Tech teams at every stage. Take a look at some of our stacks

Technology and Standards Stack

Looking to start or build out your infrastructure, platform, or AI stack?

Let’s talk strategy.