AI Consulting · San Francisco, California

AI consulting that ends in production, not slides.

Squidcode is a San Francisco AI consulting company. We design, build, and operate production AI systems — from your first prototype to infrastructure serving millions of requests. You work with the engineers who ship, not a sales layer.

What it means

AI from idea to production, owned end to end.

Most AI consulting stops at a demo. Ours starts there. We take ownership of the unglamorous 90% that decides whether an AI system actually works in production: evaluation harnesses that catch regressions, guardrails that keep models in bounds, monitoring that surfaces drift before users do, and the serving infrastructure that holds up under real traffic.

We can do that because we run our own production AI products — more than twenty of them, from CodeMouse (AI code review on every pull request) to log.fail (AI log monitoring) and Forever (persistent memory for Claude). We have already made the mistakes you are about to make, on our own dime, which means your engagement skips the expensive lessons. When you hire Squidcode you get working software and the operational know-how to keep it running, not a deck and a handoff.

Engagements range from a single focused prototype to standing up an entire production ML platform. Whatever the scope, the same people who design it are the people who write and ship the code.

Services

What our AI consulting covers.

01

AI Integration

Connect LLMs, computer vision, and predictive models into your products, APIs, and internal tools — with the evals, guardrails, and observability to run them safely in production.

02

MLOps

Training pipelines, model serving, monitoring, drift detection, and CI/CD for machine learning — so your models ship and operate like software, not science projects.

03

LLM & Generative AI

Custom LLM applications, RAG pipelines, AI agents, and fine-tuning — fast, grounded in your data, and cost-efficient at scale.

04

AI Automation

AI-powered workflows, document processing, and decision support built around your existing operations — automating the work that slows your team down.

05

Machine Learning

From data strategy to deployed models: forecasting, recommendations, and classification aimed at business metrics, not benchmarks.

06

System Architecture

Distributed systems that scale: cloud architecture, microservices, and infrastructure engineered for reliability under real-world load.

How we work

Three steps, no theatre.

01

Call

A short scoping call. You describe the problem and constraints; we tell you honestly whether and how AI helps — and whether we are the right team.

02

Scope

A concrete plan: what we build, how we measure it, the timeline, and the path to production. No open-ended retainers dressed up as strategy.

03

Ship

We build, evaluate, and deploy — then hand over a running system with the monitoring and docs to operate it. We can keep running it if you want us to.

FAQ

AI consulting, answered.

What does an AI consulting engagement with Squidcode look like?

It starts with a call to scope the problem and the constraints. We then propose a concrete plan — what we will build, how we will evaluate it, and how it reaches production. You work directly with the engineers who write the code, and the deliverable is a running system with evals, guardrails, and observability — not a slide deck.

Do you work with startups or only enterprises?

Both. We work with startup founders shipping their first AI feature and with engineering teams that need production ML infrastructure and MLOps. Engagements scale from a focused prototype to operating systems that serve millions of requests.

Can you take an AI project from prototype to production?

Yes — that is the core of what we do. We cover the full path: integration into your existing products and APIs, evaluation and guardrails, model serving and monitoring, CI/CD for ML, and the cloud infrastructure to run it reliably under real load.

Where is Squidcode based and do you work remotely?

Squidcode LLC is an AI consulting company based in San Francisco, California, and we work with teams remotely across the US.

How do we get started?

Email info@squidcode.com with a short description of what you are trying to build. We will reply with next steps and set up a scoping call.

Ready to take AI to production?

Tell us what you are building. You will hear back from an engineer, not a funnel.

info@squidcode.com