Ex-FANG Engineers  ·  Currently Taking New Clients

We Build AI Systems
Your Business Can Rely On.

Custom AI automation, LLM pipelines, and privacy infrastructure — shipped to production in weeks. Built by ex-FANG engineers who've operated AI at scale.

4–8 wks
Typical time to production
Any LLM
Model agnostic by design
Zero
PII sent to third-party models
MIT
Open-source licensed tooling
// who we are

AI that works in the real world.
Not just the whiteboard.

Two engineers. Hundreds of millions of users served at FANG scale. We know what works — and what fails at 2am in production.

// daedalus.config.ts import { DaedalusDynamics } from '@daedalus/core'; const ai = new DaedalusDynamics({ pii: 'obfuscate', // zero exposure model: 'agnostic', // any LLM transport: 'kernel | ext', // your choice skillQA: 'continuous', // always tested hermes: 'done-for-you', // we build it }); await ai.deploy(); // ✓ production-ready
Speed Without Shortcuts
We've shipped AI to hundreds of millions of users. We know what to build first — and what can wait.
🔒
Privacy by Architecture
PII protection isn't bolted on. We intercept data at the kernel or browser layer — before it touches any model.
🌐
Open Source First
Good tooling should be accessible. Our dev tools ship as open source; enterprise capabilities are built on top.
🤝
We Embed. We Don't Deck.
We join your Slack. We attend your standups. We build alongside you — and don't disappear after handoff.

Tools & Platform

Start with the free tools. Add privacy infrastructure. Get a custom AI system built end-to-end.

// the team

Built by people who've
done this before.

Not consultants. Not academics. Engineers who've shipped AI to tens of millions of users — and know exactly where things break.

J
Jeremiah
Co-Founder & CEO

Led AI product development at FANG scale. Now builds production AI systems for companies that aren't Google.

B
Brian
Co-Founder & CTO

Privacy engineering and distributed systems at FANG scale. Architect of PrivacyLayer's kernel module and the technical backbone behind every Daedalus build.

// common questions

Questions business owners ask us first

A focused AI automation build — a custom agent for a specific workflow — starts in the low five figures. Broader integrations scale from there. We scope each project and give you an exact number before you commit. No rate cards, no surprises.
A focused custom AI automation build takes 4–8 weeks from kickoff to production. Broader AI integration projects can range from 6 weeks to a few months. We give you a realistic timeline in the first scoping call — no inflated estimates.
Not by default. Every time an employee pastes a customer record into ChatGPT, that data is sent to a third-party server. Our PrivacyLayer product intercepts PII before it reaches any LLM — so your team gets the AI productivity benefit without exposing customer data.
The highest-ROI targets are repetitive, knowledge-intensive workflows: contract review, customer support triage, report generation, data extraction from documents, internal Q&A, and sales intelligence. If your team does it manually and it follows a pattern, AI can likely handle it.
No. We handle all the technical work — architecture, development, deployment, and documentation. You need to understand your business problem clearly. We translate that into a working AI system. Most of our clients have little to no internal AI engineering capability.

Ready to ship AI
that actually works?

No pitch decks. No RFPs. Just an honest conversation about what you're trying to build. We respond within one business day.