Founded by Ex-FANG Engineers

We've built AI for
tens of millions of users.

Now we build it for you. Same engineering standards. Same obsession with production reliability. Without the $50M infrastructure budget.

// our mission

The gap between AI demo
and AI production is enormous.

PII leaks into model context. Skills ship untested. Integrations get bolted on after the fact. We've seen every failure mode. We fix them.

🔭 The Problem We Saw

PII lands in model context. Skills ship untested. Integrations get bolted on. Teams burn months on solved problems — they just don't know the solutions exist yet.

🛠 What We're Building

Open-source testing tools that catch regressions before they ship. Privacy infrastructure that stops PII before it reaches any model. A consulting practice that embeds with your team and builds alongside you.

🌐 Our Open Source Commitment

We believe the tools that make AI safer and more reliable should be freely available. Our developer utilities ship as open source. Enterprise features are built on top — not instead of — that foundation.

🔒 Privacy as a First Principle

We won't build a system that handles personal data without a clear answer for where it goes, who sees it, and what happens when something breaks. That's not a policy — it's how we architect.

// the founders

Meet the team

J
Jeremiah
Co-Founder & CEO
Ex-FANG Infrastructure Applied AI Product Go-to-Market

Background

Jeremiah spent [X] years at [FANG Company] where he led [team/product] responsible for [specific achievement, e.g. "scaling the company's ML inference layer to handle 50B daily requests"]. Before that, he [earlier background placeholder].

📝 Fill in Which FANG? What team/product? Biggest technical win? Years of experience? Any notable projects or open source contributions?

Why He Left

After years watching enterprises fail to bridge the gap between AI demos and production systems, Jeremiah co-founded Daedalus Dynamics to bring FANG-grade AI engineering to companies that can't afford to build a 500-person ML org.

📝 Fill in What was the specific moment / frustration that made you leave FANG? What did you see broken that you knew you could fix?

What He Does Here

Jeremiah leads every client engagement from first call to final handoff. He owns the technical vision, the client relationship, and the product roadmap. If you work with Daedalus, you work directly with him.

📝 Fill in Specific technical superpower? Any domain expertise (fintech, healthcare, etc.)? Public talks, writing, or open source repos to link?
B
Brian
Co-Founder & CTO
Ex-FANG Privacy Eng ML Infra Distributed Sys Kernel

Background

Brian brings [X] years of experience from [FANG Company], where he worked on [team/product] — [specific achievement, e.g. "building the privacy infrastructure layer that ensured compliance across 200+ data pipelines"]. His work spanned [relevant areas].

📝 Fill in Which FANG? Privacy / infra / ML focus? Key technical achievement? Any patents, papers, or notable open source work?

Why He Left

The hardest AI problems aren't model selection or prompt tuning. They're the infrastructure problems no one talks about: where does PII go? How do you test something you can't enumerate? How do you make AI reproducible across model updates? Brian built Daedalus to solve those problems for every company — not just the largest ones.

📝 Fill in Brian's specific "aha" moment. What specific problem was he solving at FANG that he realized was universal?

What He Builds

Brian is the architect of PrivacyLayer's kernel module, the designer of the Hermes orchestration framework, and the technical lead on all client infrastructure work. He sets the engineering bar across every Daedalus Dynamics product.

📝 Fill in Brian's specific technical stack preferences? Programming languages? Any open source projects to reference? Speaking history?
// what we stand for

Our values

🎯
Outcomes over outputs
We measure success by whether your business is better off, not by lines of code delivered or hours billed. If a solution is simpler than expected, that's a win.
🔬
Rigor without bureaucracy
We test everything, validate assumptions, and question tradeoffs — but we move fast. High standards and high velocity aren't opposites.
🛡
Privacy is non-negotiable
We won't build a system that handles personal data without a clear answer for where it goes, who sees it, and what happens when something goes wrong.
📖
Open by default
If we build something that solves a general problem, we open source it. The AI ecosystem gets better when knowledge and tooling are shared.
🤝
Embedded partnership
We show up in your Slack, attend your standups, and care about your roadmap. We're not a vendor. We're an extension of your team.
🚀
Ship, then iterate
Perfect is the enemy of done. We bias toward getting working systems in front of real users and iterating from there — with proper observability from day one.
// faq

Common questions

Everything you'd want to know before reaching out.

Daedalus Dynamics is a professional AI services company founded by two ex-FANG engineers. We build open-source AI developer tools, enterprise-grade PII obfuscation infrastructure, and provide end-to-end AI integration consulting for businesses looking to adopt AI responsibly and at scale.
Daedalus Dynamics was co-founded by Jeremiah (CEO) and Brian (CTO), both former engineers at top-tier FANG companies. Between them they have deep expertise in large-scale infrastructure, privacy engineering, distributed systems, ML infrastructure, and applied AI product development.
Both. We operate a professional services practice (AI integration consulting and custom automation builds) alongside a product business. Our open-source Skill Review Suite is freely available today, and PrivacyLayer — our LLM-agnostic PII obfuscation platform — is in active development. Our services and products are designed to complement each other.
We work with companies of all sizes — from ambitious early-stage startups who want to build AI into their product the right way from day one, to mid-market and enterprise organizations looking to modernize existing workflows with AI. The common thread is that they care about doing it correctly, not just quickly.
[PLACEHOLDER — e.g. "We have deep experience in fintech, healthcare, legal tech, and enterprise SaaS — industries where data sensitivity and regulatory compliance make AI adoption uniquely complex. That said, our technical foundations apply across sectors."]
Send us an email at hello@daedalusdynamics.com with a brief description of what you're trying to build or solve. We'll respond within one business day to schedule a discovery call. No sales decks, no fluff — just an honest conversation about your problem and whether we're the right fit to help.
[PLACEHOLDER — e.g. "We are headquartered in [City, State]. Our team is remote-first and works with clients globally."]
[PLACEHOLDER — e.g. "For early-stage startups, we are open to project-based, retainer, and in select cases equity arrangements. Reach out and let's discuss what makes sense for your situation."]
// get in touch

Tell us what you
need to automate.

No sales process. Just an honest conversation about your problem and whether we can help.

hello@daedalusdynamics.com github.com/daedalusdynamics