Software · DevOps & AI Development
From legacy infrastructure to intelligent, self-scaling platforms.
We migrate your bare-metal and VM workloads to containerized, auto-scaled cloud infrastructure — then layer on custom AI agents, LLM-powered automation, and real-time observability. Cloud scaling, CI/CD, and intelligent data pipelines shipped as a single engagement.
DevOps core
Infrastructure that deploys itself, scales itself, and tells you when something is wrong.
Cloud infrastructure scaling
Auto-scaling cloud architectures on AWS, Azure, or GCP — from bare metal migrations to fully managed Kubernetes clusters that grow with your traffic without manual intervention.
CI/CD pipeline automation
End-to-end pipeline automation with GitHub Actions, GitLab CI, or custom runners — automated testing, staging, and zero-downtime deployments across every environment.
Containerization & orchestration
Docker containerization and Kubernetes orchestration for consistent, reproducible environments from dev to production — with built-in health checks, rolling updates, and auto-recovery.
Monitoring & observability
Prometheus, Grafana, and OpenTelemetry stacks that give you real-time visibility into every layer — proactive alerts, dashboards, and runbook automation before incidents escalate.
AI Agents
Custom AI agents & LLM integration
Deploy purpose-built AI agents that reason over your data — integrate OpenAI, Anthropic, or open-source LLMs with retrieval-augmented generation, tool-use, and human-in-the-loop safeguards.
Data pipelines
Custom web-scraping & ingestion
Resilient scraping pipelines with rotating proxies, JS rendering, and structured extraction — feed cleaned, schematized data directly into your models, warehouses, or LLM context.
Intelligence
LLM-powered business automation
Automate document processing, contract review, customer triage, and reporting with LLMs grounded in your business logic — every output is auditable, every action is logged.
Common questions about DevOps and AI adoption.
We deploy your AI infrastructure inside your own cloud (AWS, Azure, GCP) or on-prem — no data ever leaves your boundary unless you configure it to. LLM calls can be routed through private endpoints with encryption in transit and at rest. Every agent action is logged and all prompts are auditable for compliance.
We start with a discovery phase mapping your current infrastructure, then containerize workloads in Docker, set up Kubernetes orchestration, and migrate incrementally with parallel runs. Most migrations complete in 4–8 weeks with zero extended downtime during the cutover window.
Yes. Agents connect to your existing APIs, databases (PostgreSQL, MySQL, MongoDB), CRM, ticketing systems, and document stores via secure, scoped integrations. We build retrieval pipelines that ground every model response in your actual data with source citations.
We offer 24/7 infrastructure monitoring with automated incident response, model performance tracking, and pipeline health dashboards. SLAs range from next-business-day to 15-minute critical response with dedicated escalation paths and quarterly architecture reviews.
Describe one workflow you want to automate — we'll show you an architecture in a week.
Every engagement starts with a zero-obligation architecture review. We'll map your current stack and identify the highest-ROI automation targets.