Intelligent Automation for Modern Infrastructure.
We build practical software at the intersection of AI, network engineering, and infrastructure automation.
Core Engineering Competencies
Focus Areas
Exploring principled architectures to reduce operational friction in complex systems.
AI & Intelligent Automation
Applying specialized reasoning models to simplify technical workflows, parse unstructured logs, and structure complex operational context.
Network Automation
Programmatic workflows for network device configuration, state validation, BGP peer verification, and automated drift auditing.
Infrastructure Engineering
Reliable software architectures, container platforms, and data center tooling tailored for high-availability enterprise environments.
Observability & Operations
Harnessing telemetry streams, syslog feeds, and time-series metrics to power proactive diagnostics and accelerate incident response.
HadiTech AI Ops
“An AI-assisted platform concept for infrastructure troubleshooting, log telemetry analysis, and operational intelligence.”
Practical AI-Assisted Engineering
How We Build
A disciplined four-step operational loop that anchors machine reasoning directly into physical state realities.
Observe
Capture ground-truth telemetry, syslog records, link transitions, and time-series performance data without proprietary lock-in.
Analyze
Apply constrained models to correlate events across multiple network nodes and produce structured root-cause hypotheses.
Validate
Require explicit human confirmation, automated policy checks, and pre-flight safety assertions before taking action.
Improve
Feed resolution outcomes back into local diagnostic baselines to refine detection fidelity and eliminate repetitive toil.
Foundation of Trust
Engineering Principles
The values guiding every architectural decision and software component we write.
Security by Design
Secrets never leak to client applications. Read-only by default, least-privilege service accounts, and local-first data processing.
Human-Controlled Automation
AI should assist and explain, not act autonomously on critical network backbones. Final execution authority always remains with engineers.
Transparent & Explainable
Every hypothesis must cite its telemetry evidence. No opaque black boxes or ungrounded generative summaries.
Practical Engineering
We prioritize software that solves real infrastructure pain over trendy tech stacks. Measurable utility is our primary criterion.
Responsible AI Integration
Strict context boundaries, sanitized telemetry schemas, and zero unverified hallucinated commands in operational environments.
Auditable Integrity
Immutable logs for all queries, model invocations, and operator actions ensure complete compliance and post-incident review capability.
Transparency & Progress
Development Updates
HadiTech Architecture Baseline & Open Specification
Published the initial platform architecture document detailing the separation between Next.js operator client and FastAPI telemetry service.
Standardized our core service boundary: Next.js App Router for zero-latency operator UI, decoupled FastAPI backend for telemetry ingestion pipelines, and strict PostgreSQL relational storage for audit logs.
AI Ops Telemetry Parser & Diagnostic State Prototype
Prototyped rule-constrained log summarization module targeting BGP flap and interface error diagnostics.
Focused on reducing hallucination by anchoring AI model context directly to structured syslog records and interface metrics rather than open-ended text completion.
Initiative Foundation & Technical Scope Definition
Established HadiTech as an independent engineering initiative focused on AI-assisted infrastructure operations.
Formulated the four core focus areas: AI & Intelligent Automation, Network Automation, Infrastructure Engineering, and Observability & Operations.
Let’s Build Better Infrastructure Software.
Interested in discussing infrastructure automation, AI diagnostic workflows, or early prototype validation? We welcome technical dialogue and research collaboration.