Systems Foundation
Cloud environments, infrastructure design, security posture, reliability, observability, and the operating practices needed to keep core systems dependable.
Small IT and AI Engineering Practice
Aidron builds and operates practical IT systems for teams that need the work to hold up.
Aidron is a focused technology company that helps organizations design, build, and operate secure cloud infrastructure, intelligent automation, and production-ready AI systems. Our expertise includes Claude-powered applications, enterprise knowledge systems, multi-LLM platforms, and cloud-native engineering.
Claude is part of Aidron's production AI toolkit alongside AWS and other leading AI platforms. We use Claude for enterprise knowledge systems, software engineering acceleration, evaluation workflows, retrieval-augmented generation (RAG), and intelligent automation while applying the same engineering discipline used for cloud infrastructure and platform operations.
Why Aidron
A small company with a broad technical bench.
Aidron is not trying to look like a giant consultancy. The value is a sharper one: hands-on delivery across infrastructure, automation, integration, and AI, with enough operational discipline to make systems usable after launch.
Lead capabilities
Program-ready technology focus areas.
Aidron’s work usually sits in three connected lanes: the systems a company runs on, the automation that keeps work moving, and the AI capabilities that are useful enough to put into production.
Operational Automation
DevOps workflows, systems integration, internal tools, release processes, runbooks, and automation that reduces manual work and operational drift.
Enterprise AI Engineering
Claude applications, enterprise RAG, AI agents, evaluation frameworks, MCP integrations, and production AI deployments.
AI Engineering Portfolio
Open-source systems that show the AI and platform range.
These projects lean heavily into LLMs, but they also show the broader skills Aidron brings to IT work: architecture, APIs, cloud deployment, infrastructure-as-code, observability, tests, evaluation, and operational tradeoffs.
RAG · Claude API · Evaluation
stratum
Production RAG Engine
Hybrid BM25 + dense retrieval, RRF fusion, cross-encoder reranking, citation-grounded generation with Claude, DeepEval gates, Streamlit UI, FastAPI service, and Terraform-backed AWS deployment.
Claude generation
Weaviate production store
Langfuse-ready tracing
LLM Platform · Routing · AWS
multi-llm-platform
Multi-LLM Inference Gateway
Production-grade gateway for routing across Anthropic, OpenAI, and AWS Bedrock with semantic caching, auth, rate limiting, CloudWatch observability, and Terraform-managed serverless infrastructure.
Model routing
Semantic cache design
Serverless deployment
Agents · DevSecOps · GitOps
gitops-auto-remediation
Autonomous Infrastructure Remediation
Confidence-gated AIOps workflow for Kubernetes that classifies incidents, plans remediations, routes to PR review or auto-apply, and validates outcomes through GitOps controls.
Human approval gates
Step Functions agents
Rollback-aware delivery
Fine-tuning · Governance · Eval
LLM-Specialization-Platform
Model Specialization Pipeline
QLoRA SFT, DPO preference optimization, artifact re-evaluation, null-case training, constrained decoding, GGUF export, and reproducibility manifests for task-specific LLM deployments.
SFT + DPO pipeline
Schema-bound outputs
Reproducible runs
Enterprise AI Expertise
Production AI systems using Claude and modern cloud platforms.
Aidron designs and implements production AI systems using Claude and modern cloud platforms.
Claude-powered knowledge assistants
Enterprise assistants, document intelligence, and internal knowledge systems grounded in business data.
RAG and model orchestration
Retrieval-augmented generation, multi-LLM routing, AI evaluation frameworks, and governed rollout patterns.
Secure AI automation
AI agents, workflow automation, AWS-native deployments, and secure enterprise AI architecture.
How the work gets done
Claude Code is one part of a practical engineering workflow.
Aidron uses Claude Code when it helps move real work forward, especially on LLM-heavy systems and complex codebase changes. It supports the work; it does not replace engineering judgment, testing, or operating discipline. Aidron is investing in the Anthropic ecosystem and uses Claude to accelerate secure software delivery, enterprise AI implementation, and production engineering workflows.
Architecture discovery
Repository exploration, dependency mapping, interface review, and implementation planning before files are changed.
Multi-file implementation
Feature delivery, refactoring, infrastructure updates, test repair, and documentation in one connected workflow.
Toolchain execution
Shell commands, test suites, formatters, Terraform plans, Git workflows, and CI checks integrated into the build loop.
MCP-ready workflows
Patterns for connecting AI tooling to project context, docs, issue trackers, internal tools, and repeatable team workflows.
Review and governance
Human review gates, traceable decisions, evaluation checks, rollback paths, and documentation that supports adoption.
Services
IT delivery services with practical AI depth.
These services are designed for software companies, platform teams, operations-heavy businesses, and regulated commercial environments that need dependable systems, not just advisory notes.
Cloud and Infrastructure Modernization
Design and improve cloud environments, landing zones, network boundaries, deployment patterns, monitoring, and infrastructure-as-code.
DevOps and Automation
Build CI/CD pipelines, release workflows, environment automation, internal tools, and repeatable processes that reduce manual drift.
Systems Integration
Connect applications, APIs, data flows, and operational tools so teams can move information reliably across the business.
Claude & Enterprise AI Solutions
Build Claude-powered assistants, enterprise search, knowledge systems, AI agents, evaluation pipelines, and secure production AI platforms.
Cybersecurity and Control Support
Support access control, auditability, security review, documentation, runbooks, and operating procedures for high-accountability environments.
Technical Delivery Support
Help teams with architecture review, backlog execution, code modernization, documentation, handoff, and managed operational support.
Why Aidron
What we bring to a program.
Delivery-first execution
We stay focused on working systems, operational readiness, documentation, and handoff, not strategy artifacts that never become usable capability.
Infrastructure depth
Cloud, networks, automation, deployment patterns, and observability are treated as part of the same operating picture.
AI with operational discipline
LLMs are used where they help. Evaluation, access control, model behavior, and rollback paths are part of the build.
Documentation that survives handoff
Runbooks, SOPs, diagrams, control notes, and architecture records are written so another team can operate the system.
Security-aware implementation
Security review, auditability, access boundaries, and deployment repeatability are considered while the system is being built.
Focused team, senior attention
Aidron is built for technical work where judgment, accountability, and speed matter more than large-team ceremony.
Founder
Ade Daramola
Principal Engineer · Founder
Focus
AI platforms, cloud infrastructure, and autonomous systems
Infrastructure
15+ years AWS infrastructure experience
Selected work
GitOps Sentinel, Multi-LLM Platform, Stratum RAG
Style
IaC-managed, testable, observable, documented
Aidron is led by Principal Engineer Ade Daramola, whose experience spans enterprise cloud infrastructure, AI platform engineering, production RAG systems, agentic AI, infrastructure automation, and secure software delivery. His public work shows the same operating style Aidron brings to clients: infrastructure-as-code first, observed, documented, and built for handoff.
The point of the founder-led model is accountability. The person shaping the architecture is close to the implementation, the tradeoffs, the tests, and the operational details that decide whether a system actually gets used.
Certifications and training
AWS Cloud • NVIDIA Agentic AI • NVIDIA LLM Systems • Terraform • Cloud Security • Production AI Engineering
Private-sector focus
Where Aidron is positioned to help.
Software and Product Teams
Cloud platforms, code modernization, internal developer tools, product integrations, and AI features where useful.
Financial Services and Fintech
Secure infrastructure, document workflows, auditability, access control, automation, and evaluation-heavy AI deployments.
Healthcare and Life Sciences
Cloud architecture, integration work, knowledge retrieval, workflow support, and careful handling of sensitive operating contexts.
Operations-Heavy Businesses
Process automation, support tooling, internal systems, cloud reliability, and AI-assisted operational decision support.
Contact
Bring an infrastructure, automation, integration, or AI problem.
Bring a repo, workflow, cloud environment, or AI idea. Use the form to start a focused conversation; this static site opens a prepared email draft from your own email client.
Modernize infrastructure
Cloud environments, deployment patterns, observability, access boundaries, and support-ready handoff.
Build AI capability
RAG systems, LLM applications, model routing, evaluation, and AI-assisted engineering workflows.
Improve delivery and automation
DevOps, CI/CD, internal tools, system integration, process automation, and technical documentation.
Email: info@aidrontech.com