Our Services

Enterprise-grade software, AI infrastructure, Kubernetes orchestration, DevOps automation, and secure digital platforms — engineered for performance, compliance, and scale.

Full Portfolio

What We Deliver

A comprehensive portfolio of engineering services spanning software, infrastructure, AI, and cloud — built for organizations that cannot afford failure.

🌐 Web & Platform Engineering

Secure, high-performance web applications, enterprise portals, and API-driven platforms with cloud-native architecture.

🏢 Enterprise Software

Mission-critical systems built for compliance, workflow automation, document management, and operational resilience.

⚙️ Kubernetes & Docker

Container orchestration, microservices migration, Helm chart management, and production-grade cluster operations.

🔄 DevOps & CI/CD

Automated build and release pipelines, GitOps workflows, infrastructure as code, and developer platform engineering.

🤖 AI & Machine Learning

AI model development, MLOps infrastructure, LLM-powered applications, and intelligent automation pipelines.

🌐 Networking & Security

Network design, SD-WAN, zero-trust security architecture, VPN, firewall hardening, and infrastructure protection.

📊 Data Engineering

ETL pipelines, data warehouses, real-time streaming, business intelligence platforms, and analytics infrastructure.

📱 Mobile Applications

Android & iOS applications with enterprise-grade security, offline capability, and secure API backends.

🏛️ Government Solutions

Audit-ready, compliance-aligned platforms built for public-sector governance, citizen portals, and regulatory environments.

☁️ Cloud Architecture

Multi-cloud and hybrid cloud architecture on AWS, GCP, and Azure — designed for cost efficiency and fault tolerance.

🔗 API & Integrations

Secure REST and GraphQL APIs, inter-system integrations, legacy modernization, and third-party platform connectivity.

📈 Monitoring & Observability

Prometheus, Grafana, ELK Stack, distributed tracing, alerting systems, and SRE-aligned operational practices.

Service Details

Service Deep Dive

  • Custom ML model development and training pipelines
  • MLOps infrastructure — experiment tracking, model registry, deployment automation
  • LLM integration, fine-tuning, and RAG (Retrieval Augmented Generation)
  • Vector databases (Pinecone, Weaviate, pgvector) and semantic search
  • AI-powered workflow automation and intelligent document processing
  • Real-time inference APIs and model serving (TorchServe, BentoML, Triton)
  • Computer vision, NLP, and predictive analytics systems
  • Production Kubernetes cluster setup and management (EKS, GKE, AKS, bare metal)
  • Helm chart development, versioning, and release management
  • GitOps with ArgoCD and Flux for continuous delivery
  • Service mesh implementation (Istio, Linkerd) for observability and traffic management
  • Horizontal Pod Autoscaling (HPA), Vertical Pod Autoscaling (VPA), and KEDA
  • Kubernetes network policies, RBAC, and Pod Security Standards
  • Multi-cluster federation and cross-cluster service discovery
  • CI/CD pipeline design using GitHub Actions, GitLab CI, Jenkins, CircleCI
  • Infrastructure as Code with Terraform, Pulumi, and CloudFormation
  • Configuration management with Ansible and Chef
  • Secrets management with HashiCorp Vault and cloud-native solutions
  • Blue-green, canary, and rolling deployment strategies
  • Developer platform engineering and internal tooling
  • DORA metrics tracking and DevOps maturity assessment
  • Enterprise network architecture design (LAN, WAN, SD-WAN)
  • BGP, OSPF, VLAN segmentation and routing configuration
  • Zero-trust network architecture and identity-aware proxy
  • VPN (IPSec, WireGuard, OpenVPN) and site-to-site connectivity
  • Firewall configuration (pfSense, Cisco, Palo Alto, cloud-native)
  • Network intrusion detection, SIEM integration, and threat monitoring
  • Cloud networking — VPC design, Transit Gateway, PrivateLink
  • ETL/ELT pipeline development with Apache Airflow and dbt
  • Data warehouse design (Snowflake, BigQuery, Redshift)
  • Real-time data streaming with Apache Kafka and Apache Flink
  • Data lake architecture on S3, GCS, and Azure ADLS
  • Business intelligence with Metabase, Superset, and Tableau
  • Data quality, lineage tracking, and governance (Great Expectations, OpenLineage)
  • Feature stores and AI-ready data platforms
  • Secure document management and file tracking systems
  • Workflow automation, approval, and compliance portals
  • Citizen-facing government digital services and portals
  • Land records, asset management, and urban planning systems
  • Role-based access with SSO integration and audit logging
  • Inter-department API integration and legacy modernization
  • Reporting dashboards for governance and executive decision-making
  • Prometheus and Grafana stack setup, dashboards, and alerting
  • Distributed tracing with Jaeger, Zipkin, and OpenTelemetry
  • Centralized logging with ELK Stack (Elasticsearch, Logstash, Kibana)
  • Uptime monitoring, SLO/SLA definition, and error budgets
  • Chaos engineering and reliability testing
  • On-call runbooks, incident management, and postmortem processes
  • PagerDuty and Opsgenie integration for alert routing
Our Clients

Built For Organizations That Matter

We partner with organizations where the stakes are real — where systems must be secure, reliable, and built to outlast the project.

Enterprises & Corporations

Scalable, secure platforms supporting mission-critical business operations, analytics, and digital transformation.

Government Organizations

Audit-ready, compliant systems built for public-sector governance, citizen services, and policy enforcement.

Tech-Forward Startups

Cloud-native architecture, AI integration, and DevOps foundations that scale with product growth.

Delivery Standards

How We Deliver

Engineered execution aligned with enterprise & government standards — every time.

01

Security First

Compliance, encryption, audit trails, and zero-trust principles from day one.

02

Cloud-Native

Container-first, GitOps-driven systems built for cloud scale and portability.

03

Automation-Led

CI/CD, IaC, and automated testing eliminate manual risk and accelerate delivery.

04

Observable by Design

Metrics, logging, and tracing built in — not bolted on after incidents occur.

Typical Engagement Journey

01

Discovery & Risk Review

Understanding objectives, constraints, compliance, and technical debt.

02

Architecture & Security Design

Scalable, secure system blueprints and infrastructure plans.

03

Build & Automate

Iterative development with CI/CD, automated testing, and peer review.

04

Deploy, Monitor & Scale

Production rollout, observability setup, and long-term system evolution.

Our Differentiators

What Makes Evoletrix Different

We don't just build software — we engineer infrastructure, automate delivery, and build systems designed to run for years.

01

Full-Stack Infrastructure

From code to Kubernetes cluster — we own the entire delivery stack.

02

Security by Design

Security and compliance embedded at every layer, not added later.

03

AI-Ready Architecture

Systems designed for ML integration, data growth, and AI workloads.

04

Ownership Culture

We operate as long-term partners, not short-term feature vendors.

Security & Trust

Security & Compliance

Our systems are engineered with security-first principles, container security policies, and enterprise-grade compliance frameworks.

Data Protection

Encryption, RBAC, Vault secrets management, and secure data handling throughout.

Audit Ready

Built-in logs, immutable trails, compliance reporting, and governance dashboards.

Container Security

Image scanning (Trivy, Snyk), runtime policies, and K8s admission controllers.

Network Security

Zero-trust networking, mTLS between services, and Kubernetes network policies.

Results

Real Impact. Real Outcomes.

Government

Digitized File Management

Secure document tracking with audit trails, workflow approval chains, and RBAC across government departments.

DevOps

Kubernetes Migration

Containerized a legacy monolith into microservices on K8s, cutting deployment time from days to 12 minutes.

AI & Data

AI Analytics Platform

Built ML inference pipeline with real-time data ingestion and executive dashboards serving 50K+ queries/day.

Working Together

Flexible Engagement Models

We adapt to how your organization works — from fixed-scope projects to long-term embedded engineering partnerships.

Fixed Scope Delivery

Clearly defined deliverables, milestones, and acceptance criteria. Ideal for procurement and audit-ready engagements.

Dedicated Engineering Team

A focused team working as an extension of your organization for continuous development, DevOps, and support.

Technology Partnership

Ongoing strategic collaboration for architecture decisions, modernization, and long-term system evolution.

Questions

Frequently Asked Questions

Do you work with Kubernetes and cloud-native infrastructure?

Yes. Kubernetes orchestration, Docker containerization, Helm, ArgoCD, and cloud-native architecture are core to our infrastructure practice. We manage production clusters across EKS, GKE, AKS, and bare-metal environments.

Can you build and deploy AI/ML systems?

Absolutely. We handle the full ML lifecycle — from data pipelines and model training to MLOps infrastructure, LLM integration, and production-grade inference APIs.

How do you handle data security and compliance?

Security is designed into every layer — encryption, RBAC, secrets management with Vault, Kubernetes network policies, image scanning, audit logging, and compliance-aligned delivery practices.

Do you work with government compliance requirements?

Yes. Our solutions are designed for audit readiness, full traceability, regulatory alignment, and government IT guidelines. We understand the specific demands of public-sector delivery.

Can you modernize our existing legacy systems?

Yes. We assess, design migration paths, containerize workloads, and move legacy systems to modern, cloud-native architectures — with minimal disruption to ongoing operations.

What monitoring and observability do you set up?

We implement Prometheus, Grafana, ELK Stack, distributed tracing (OpenTelemetry), uptime monitoring, SLO tracking, and alerting — aligned with SRE best practices.