Architecture
Engineered for mission-critical workloads
For technical decision makers: how we design, secure, and operate AI platforms inside regulated enterprise environments.
Enterprise Architecture
How we wire intelligence into the enterprise
A cloud-native reference architecture: composable services, an AI layer with grounded retrieval, and observability by default.
Frontend
API Gateway
Microservices
AI Layer
Vector DB
Azure OpenAI
Analytics
Monitoring
Composable
Domain-driven microservices, event-first, contract-tested.
Grounded AI
Retrieval-augmented generation over your governed data.
Observable
Traces, metrics, and evals wired end-to-end from day one.
Technology
Engineered on a modern stack
Chosen for velocity, reliability, and long-term maintainability in regulated environments.
001
.NET
Backend Services
002
Angular
Enterprise Frontend
003
React
Product Interfaces
004
Next.js
Web Platforms
005
Azure
Cloud Infrastructure
006
OpenAI
Foundation Models
007
Claude
Reasoning Models
008
Python
AI & Automation
009
SQL Server
Enterprise Database
010
Docker
Containerization
011
Kubernetes
Orchestration
012
Redis
Caching
Security & Compliance
Engineering practices for mission-critical systems
NexRoot builds for the security expectations of banks, insurers, and regulated enterprises — as engineering practice, not a checkbox.
Secure by Design
Threat modeling, secure SDLC, and defense-in-depth from architecture through deployment.
Zero Trust Principles
No implicit trust between services; every request authenticated, authorized, and encrypted.
Identity & Access
Enterprise SSO, MFA, RBAC, and short-lived tokens; least privilege for humans and machines.
Encryption Everywhere
TLS in transit and AES-256 at rest, with customer-managed keys where supported.
Audit & Traceability
Immutable audit logs and detailed AI decision traces for reviewability and evidence.
Cloud Security
Hardened baselines on Azure, AWS, and GCP with continuous configuration scanning.
Enterprise Monitoring
24/7 telemetry, anomaly detection, and runbooks aligned to SEV response practices.
Compliance-Ready Architecture
Data residency, retention, and separation patterns aligned to regulated-industry needs.
How we deliver
A disciplined delivery process
Every engagement follows the same engineering path — from discovery to continuous evolution.
Step 01
Discovery
Understand the domain and constraints.
Step 02
Architecture
Design the system and data model.
Step 03
UX Design
Interfaces built for real operators.
Step 04
Platform Engineering
Build the core services.
Step 05
AI Integration
Embed models into the workflow.
Step 06
Security Review
Threat modeling and hardening.
Step 07
Production Deployment
Ship with observability in place.
Step 08
Continuous Evolution
Iterate against real usage.