Accepting new engagements · Q2

Rebuild your stack.
Ship AI that actually earns.

Addy Networks is a senior AI engineering practice. We help founders and operators rebuild their infrastructure, ship focused Micro SaaS products, and turn AI from a slide deck into measurable revenue.

AI-first engineering Senior, US-based Fixed-fee phases
Built on platforms trusted by serious teams
OpenAIAnthropicAWSGoogle CloudCloudflareVercelStripePostgresSupabasePineconeLangChainHugging Face
OpenAIAnthropicAWSGoogle CloudCloudflareVercelStripePostgresSupabasePineconeLangChainHugging Face

What we do

Three things, done deeply.

We deliberately don't do everything. We do three things — and we do them at the level of a senior in-house team.

AI Consulting

AI strategy that survives contact with reality.

We help you separate AI theater from real leverage. Roadmaps, model selection, RAG and agent architecture, vendor-neutral evaluations, and hands-on prototypes that prove value before you commit to a stack.

  • Discovery sprints & opportunity audits
  • Vendor-neutral model & infra selection
  • Production-ready prototypes in weeks
  • Internal AI enablement & playbooks
Micro SaaS

Focused products built to ship and earn.

We design, build, and launch small, AI-augmented SaaS products end-to-end. Intentionally narrow scope, multi-tenant from day one, with auth, billing, infra, and growth baked in — so it can run as a one-person business.

  • Idea → MVP → revenue in 8–12 weeks
  • Multi-tenant architecture & auth/billing
  • AI features that drive retention
  • Analytics, ops, and growth tooling
Infrastructure Rebuilds

Modernize the stack without breaking the business.

Legacy systems, brittle workflows, mystery servers. We rebuild incrementally — strangler-fig migrations, IaC, observability, and AI-driven automation — while the lights stay on.

  • Audit of stack, workflows & costs
  • Cloud replatforming (AWS / GCP / Cloudflare)
  • IaC, CI/CD, observability from zero
  • AI agents for repetitive ops & support

How we work

From audit to autopilot — in four phases.

A predictable rhythm with clear deliverables. No 6-month black boxes, no surprises.

01

Audit

A focused discovery sprint. We map your goals, stack, data, and risks — and surface the highest-leverage wins.

02

Architect

A clear, no-jargon plan: chosen models, infra, integrations, milestones, and what we are deliberately not building.

03

Build

Small ruthless team, weekly demos, production-ready from day one. No 6-month black boxes.

04

Operate

We hand off, train your team, and stay on as a fractional engineering partner — or step away cleanly.

Capabilities

A senior team. A small surface area.

Concrete things we deliver across every engagement — picked because they actually move the needle for AI and infrastructure work.

RAG & Agentic Systems

Retrieval-augmented assistants, multi-step agents, tool use, and human-in-the-loop workflows.

Workflow Automation

Replace manual ops with AI-driven pipelines — across CRM, support, ops, finance, and engineering.

Data & Vector Pipelines

Ingestion, embeddings, evals, governance. Production data that AI can actually use.

Cloud Architecture

AWS, GCP, Cloudflare. Serverless-first, edge-friendly, cost-aware from day one.

IaC & DevOps

Terraform/Pulumi, CI/CD, preview environments, secrets, and reproducible builds.

Observability

Metrics, traces, logs, evals, and product analytics that close the feedback loop.

Security & Compliance

Auth, RBAC, secret hygiene, and a sensible posture toward SOC 2 / HIPAA when needed.

Integrations

Stripe, Slack, Notion, HubSpot, custom internal APIs — wired in cleanly and observably.

Private & On-Prem AI

Self-hosted inference, BYO-keys, and patterns that keep sensitive data out of vendor logs.

Recent work

A sample of what we ship.

Names omitted, outcomes preserved. Full case studies available under NDA.

AI Consulting

Operations Copilot

A RAG + tool-using assistant for a 40-person ops team. Replaced ~12 hrs/week of internal lookups.

shipped to production
Micro SaaS

Document Intelligence

A focused SaaS that extracts, classifies, and routes documents end-to-end. Launched in 9 weeks.

shipped to production
Infrastructure Rebuild

Legacy → Cloud-Native

Strangler-fig migration off a monolithic PHP stack to a serverless edge architecture. Zero downtime.

shipped to production
AI Consulting

Model Evaluation Harness

Internal evals + golden datasets so the team could swap models confidently and prove regressions.

shipped to production

Questions

Frequently asked.

If you don't see your question here, send us a note — we usually reply within a business day.

Most engagements begin with a paid 1–2 week discovery sprint. We audit your current stack, data, and goals, then deliver a concrete roadmap with scoped phases, risks, and expected outcomes. From there you can continue with us or take the roadmap and run with it yourself.

RAG systems, agentic workflows, internal copilots, prediction and classification pipelines, document understanding, and AI-powered SaaS products. We prefer projects with clear business outcomes — automating real workflows, replacing manual operations, or unlocking new revenue.

Yes. We specialize in incremental rebuilds — strangler-fig migrations off of legacy monoliths, replatforming to modern cloud (AWS / GCP / Cloudflare), introducing IaC, observability, and CI/CD without taking the business offline.

Yes — from positioning and architecture to auth, billing, multi-tenant data, UI, deployment, and post-launch operations. We keep the surface area intentionally small so the product can ship fast and remain a one-or-two-person business to run.

Fixed-fee discovery sprints, fixed-fee build phases when scope is clear, and monthly retainers for ongoing engineering or fractional CTO work. No hourly billing.

Remote-first, US-based. We work with founders and teams across North America and Europe.

Let's build

Have a stack to rebuild or an AI product to ship?

We take a small number of engagements each quarter. Tell us about your goals — we'll respond within a business day with whether we're the right fit.