CTO · Production AI & SaaS

I turn AI prototypes into systems teams can actually run.

I'm Raymond Clanan, CTO of SaaSier Inc., SaaSy Solutions LLC, and Hive Minded AI, with 25+ years of software experience. I build production AI, search, and backend systems with the unglamorous parts done properly: evaluation, observability, cost control, and a clean handoff.

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Portrait of Raymond Clanan
Raymond ClananIndiana, USA
25+ yrsshipping software across federal, commerce, automotive, and SaaS
225production releases across client platforms, SaaS products, and my own
60% ↓LLM latency after a multi-provider routing rebuild
15% ↑e-commerce conversion from a faster faceted search

01Selected work

Architecture decisions that showed up as latency, cost, and delivery speed.

All case studies

Enterprise · 4 mo

Production RAG on Azure with pgvector

Retrieval with re-ranking, citations, and freshness controls, plus an evaluation pipeline so answer quality stopped being a matter of opinion.

85%answer accuracy, up from 40% (+45 percentage points) on 500 questions

02Products

Products and engineering work.

My work spans product direction, architecture, implementation, and operations.

All projects

Vertical AI · AgTech

Hive Minded AI

Operations platform for beekeepers: colony health, field inspections by voice, weather-aware planning, and offline-friendly capture.

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Open source · Rust

MockForge

API and event simulation across HTTP, gRPC, GraphQL, and WebSockets, so frontend and QA work doesn’t wait on backends.

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Developer tools

CodeDig

PR risk and blast-radius analysis for GitHub and GitLab: downstream impact, API changes, test gaps, and security findings before merge.

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Business OS

SaaSy

Guided workflows that take founders from idea to formation, compliance, CRM, and a repeatable operating rhythm.

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03What I do

Architecture, implementation, and operations in one seat.

Most useful where product pressure, systems design, and production reality collide.

Production AIHarden what the demo hid

  • Multi-provider routing, fallbacks, budget controls, and quality guardrails
  • Evaluation loops and prompt lifecycle so regressions get caught before users do
  • Review flows that keep humans in charge of decisions that matter

Search & RAGAnswers you can trust

  • Retrieval pipelines on pgvector with citations, re-ranking, and freshness
  • Chunking and ingestion that survive changes in source content
  • Eval harnesses and dashboards that make answer quality measurable

Backend systemsFast, observable, maintainable

  • Low-latency services in Rust and .NET, on Postgres
  • Logs, traces, metrics, and cost signals from day one
  • Documentation and runbooks your team can operate without me

Consulting through SaaSy Solutions

04In their words

The numerical claims in this previously published testimonial have not been verified against benchmark records.

His expertise in observability reduced our LLM spending by 30% while improving latency by 60%.

CTO, SaaS platform · More testimonials

05Writing

Field notes on shipping real systems.

Selected notes on human corrections, release discipline, and beekeeping.

All writing

What 225 Releases Taught Me About Shipping

After 225 releases across client platforms, SaaS products, and my own projects, the lessons are boring and universal: small batches, checklists, and discipline beat tooling.

3 min

Getting Hives Ready for Winter

Winter losses are decided in the fall. My eight-item checklist for getting colonies through winter: mites, stores, queen, moisture — and writing it all down.

3 min

Next step

Need help with a production system?

Consulting is available through SaaSy Solutions LLC for teams working on AI, search, and backend reliability.

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