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Hedronite

Hedronite Solutions

What we Deliver for Our Clients.

Hedronite delivers modern Artificial Intelligence and Machine Learning solutions to solve traditional IT, Software Engineering, and DevOps problems. IT, SWE, and DevOps all require human judgment and oversight to actually work in production. Rather than suggest that these fields are being replaced by AI, we demonstrate how AI is a force multiplier that magnifies the skill of competent engineers.

IT Services

Endpoint management, identity and access, network administration, backup and recovery. The daily operating layer that keeps a team productive without an in-house IT department.

  • Endpoint management with MDM enrollment, device fleet provisioning, software lifecycle patching
  • Identity and access via SSO (Google Workspace, Okta), with role-based access controls and conditional access policies
  • Network administration: Tailnet onboarding for remote workers, VPN setup, internal DNS, firewall rules
  • Backup and recovery, with automated cloud backup, documented disaster recovery runbooks, periodic restore drills
  • Helpdesk and vendor coordination: ticketing workflow, SaaS license management, escalation paths
  • AI-assisted helpdesk: ticket triage, routing, and draft resolutions, with a technician closing every loop
  • Mobile and remote support for distributed teams across time zones

DevOps & Cloud Infrastructure

AWS, Google Cloud, Kubernetes orchestration, Terraform infrastructure-as-code, CI/CD pipelines, observability. Production-grade infrastructure for teams that ship, with an AIOps layer that catches what static dashboards miss.

  • Multi-cloud architecture across AWS and GCP, with region-aware failover and cost-optimized resource design
  • Kubernetes orchestration: production k3s, EKS, GKE clusters managed via GitOps (ArgoCD, Flux)
  • Infrastructure-as-Code with Terraform modules, remote state management, secrets in Vault or cloud KMS
  • CI/CD pipelines through GitHub Actions, with build/test/deploy gates and sigstore artifact signing
  • Observability stack: Prometheus, Grafana, log aggregation via Loki, alert routing engineered for actual signal
  • AIOps layer: AI-assisted anomaly detection, alert correlation, and incident summarization, so on-call chases signal, not noise
  • Validator nodes and RPC infrastructure for chains your team builds against

AI/ML Infrastructure

Model serving, retrieval pipelines, agent orchestration, evaluation, MLOps. The AI you run in production, built on the same discipline as your software.

  • Model serving via vLLM, Ollama, or Triton; on-prem deployments for cost and privacy, cloud for elasticity
  • Retrieval pipelines combining lexical search (BM25) and semantic search (vector embeddings) under RRF fusion
  • Agent orchestration with tool-use frameworks, role boundaries, governance gates at admission and runtime
  • Evaluation frameworks: regression suites, drift detection, A/B testing for production agents
  • On-chain data pipelines for wallet analytics, transaction graph indexing, mempool monitoring
  • MLOps coverage: model versioning, experiment tracking, observability for inference workloads

Frontend Engineering

Edge-deployed sites, release engineering, performance budgets, design systems. Web surfaces that load fast and stay up under load, built faster with AI in the loop and an engineer's hand on the design.

  • Edge-deployed sites on Cloudflare Workers, Vercel, or Netlify, with CDN caching strategies tuned per route
  • Release engineering: blue-green deploys, canary slicing, feature-flag rollouts with kill-switch discipline
  • Performance budgets enforced via CWV gates and bundle-size monitoring in CI
  • Design systems with token-based theming, component libraries, accessibility audits
  • AI-accelerated delivery: component generation, design iteration, and copy drafts in the build loop, with engineers owning the craft and the final cut
  • AI product integration: LLM features wired into your product with guardrails and evaluation
  • DApp interfaces: wallet integration (RainbowKit, web3-react), transaction signing flows, on-chain data display
  • Real-time dashboards built on WebSocket streams for trading interfaces or chain monitoring

Security & Compliance

SOC 2, HIPAA, and PCI readiness; supply chain security; audit-trail design; admission-time policy. Security designed in, not bolted on, with AI widening the search and an analyst validating every finding.

  • SOC 2, HIPAA, and PCI readiness through control mapping, evidence collection, audit preparation
  • Supply chain security: SBOM generation, dependency vulnerability scanning, sigstore image signing
  • Admission-time policy via OPA and Gatekeeper, image signing verification at deploy, network policy enforcement
  • Smart contract security: pre-deploy review, formal verification setup, post-deploy monitoring
  • Key management with HSM integration, multi-signature schemes, threshold signing for validator keys
  • Runtime threat detection: Falco rules, eBPF observability, audit log pipelines
  • AI-assisted offensive testing: continuous vulnerability discovery and pen-test reconnaissance, every finding validated by a human before it ships

Training & Handover

We train your team to run what we built and to get the most from the AI inside it. After we leave, your people operate the system and work alongside the AI in it, not around it. The Academy is the explicit form of this practice; client engagements carry it through hands-on training, documentation, and runbooks.

  • AI enablement: training your team to prompt, supervise, and get reliable work from the AI systems we deploy
  • Documentation and runbooks: architecture diagrams, incident playbooks, AI-drafted and engineer-reviewed
  • Knowledge transfer: hands-on sessions, recorded walkthroughs, recorded code reviews
  • Operator onboarding: production access provisioning, on-call rotation setup, escalation paths
  • Post-handover support windows at 30, 60, 90 days, with defined SLAs
  • Academy bridge for client teams: graduates of Hedronite Academy available as hireable operators

The clients who benefit the most are the ones whose data compounds as their operations scale: software development teams, logistics companies, insurance brokers, professional firms, healthcare practices, real estate brokerages and property managers. Any business that maintains a web presence, ships software, manages documents, relies on the secure flow of data, or wishes to integrate AI safely and cost-effectively, can benefit from our services.