Ex-FANG Engineers · Currently Taking New Clients

AI that works in production,
not just in demos

We embed with your team and build AI systems that hold up under real load. From kickoff to production in 4–8 weeks — we handle the complexity.

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Proprietary Framework

Meet Hermes

Hermes is our internal orchestration framework for production multi-agent AI systems. Agent coordination, tool routing, context management, retry logic, observability — all handled, all yours.

Commission a custom build: you describe what you want automated, we build it and deploy it. You get a working system — not a proof of concept.

  • LLM-agnostic — connect any model, swap models without rewrites
  • Multi-agent by default — specialized agents for specialized tasks
  • Full observability — every agent action logged and traceable
  • Production-hardened — retry logic, rate limits, graceful degradation
  • Done-for-you — we build, deploy, and hand over a working system
Hermes Orchestration
⟳ Orchestrator Agent
├─ routes & coordinates
🔍 Research Agent
│ └─ web search · RAG · APIs
✍️ Synthesis Agent
│ └─ drafts · summarizes · formats
✅ Validation Agent
│ └─ fact-checks · compliance gates
📤 Output Agent
└─ deliver to your system · notify

// fully observable · retries handled
// you see the inputs & outputs. that's it.
// what we offer

Everything from strategy to shipped

Every engagement is different. Most clients combine two or three of these.

🤖
Custom Hermes Agent Builds
You describe the workflow. We build a production-grade multi-agent system, deploy it in your environment, and hand over a working product. Capability without complexity.
  • Fully custom to your workflow and data sources
  • Any LLM, any API, any internal system
  • We handle architecture, deployment, and handoff
  • Includes documentation and runbook

// example hermes builds

  • Automated contract review and risk flagging
  • Multi-source research and report generation
  • Customer support triage and response drafting
  • Internal knowledge base Q&A agent
  • Sales intelligence and lead enrichment
  • Regulatory compliance monitoring agent
  • Code review and documentation automation
  • Data extraction from unstructured documents
🏗
AI Architecture & Strategy
Stuck on a decision that will be expensive to reverse? We audit your stack, map your AI opportunities, and give you a recommendation you can actually build on.
  • LLM selection for your specific use case
  • RAG vs. fine-tuning vs. agents — the honest tradeoffs
  • Data pipeline and retrieval design
  • Cost modeling and latency budgeting
⚙️
LLM Pipeline Design & Optimization
Slow inference, unpredictable costs, inconsistent outputs — we've seen every failure mode at scale. We design pipelines that are fast, cheap, and reliable — then tune them until they stay that way.
  • Prompt engineering and optimization
  • Caching, batching, and cost reduction
  • Output consistency and structured generation
  • Evaluation and monitoring setup
🔗
Workflow Automation
Repetitive, knowledge-intensive work is the highest-ROI target for AI. We find the right opportunities in your business, then build the systems to handle them.
  • Process mapping and AI opportunity audit
  • Document processing and data extraction
  • Human-in-the-loop approval workflows
  • Integration with your existing tools and APIs
🛡
AI Safety & Compliance Review
Deploying AI in a regulated environment or handling sensitive data? We review your AI systems for data leakage, prompt injection risk, output consistency failures, and compliance exposure — before they become your problem.
  • PII and data governance audit
  • Prompt injection and adversarial testing
  • GDPR / HIPAA / SOC 2 AI risk assessment
  • Remediation roadmap with prioritized fixes
🎓
Team Up-Skilling & Knowledge Transfer
Every engagement ends with your team understanding what was built and why. We don't believe in creating dependency. For orgs building internal AI capability, we offer structured training.
  • Custom workshops for engineering teams
  • Prompt engineering fundamentals and advanced techniques
  • Evaluation and testing best practices
  • Code walkthroughs and documentation
// how we work

Simple process. Real results.

No multi-month discovery phases. No bloated teams. We move fast.

1
Discovery Call
30–60 minutes. We learn your problem, your stack, your constraints. You learn how we think. No pitch decks.
2
Scoped Proposal
Within a week, a clear proposal: what we'll build, how long, and what it costs. No ambiguity.
3
Embedded Build
We work in your environment, in your Slack, with weekly demos. You see progress every step of the way.
4
Ship & Hand Off
Production deployment, documentation, and a walkthrough your team can build on. You own everything.
// why daedalus dynamics

FANG experience. Startup speed.

Low 5-fig
Starting price for a focused build
A scoped Hermes automation for a specific workflow. We give you exact scope and cost before you commit — no surprises, no rate cards.
4–8w
Typical Time to Production
From kickoff to a running Hermes agent in your production environment. Not a prototype — a working system.
0
Surprise Vendor Lock-in
Everything we build uses your infrastructure, your accounts, your keys. You own the output. We don't create dependency — that's intentional.
// faq

Common questions

A Hermes build is a custom AI automation system we build for you on top of our internal Hermes orchestration framework. It might be a multi-agent research pipeline, an automated document processing system, or an intelligent customer-facing workflow. You don't need to understand how Hermes works — that's the point. You describe what you want automated, we build it, and you get a working system. We handle all the orchestration complexity underneath.
Most AI freelancers build proofs of concept that don't survive production. Most agencies staff junior engineers and bill senior rates. We're two ex-FANG engineers who personally do the work — there's no account manager, no handoff to a junior team. We've operated AI systems at a scale where failure is not an option, and we bring that standard to every engagement.
It depends on scope. A focused custom Hermes agent build for a specific workflow typically starts in the low five figures. Broader architecture and integration engagements scale from there. We don't have a rate card — we scope each project based on what it actually requires, and we'll tell you exactly what it costs before you commit to anything. Email us with your use case and we'll give you a straight answer.
Both. For defined deliverables — a specific Hermes build, an architecture review, a compliance audit — we work project-based with clear scope and pricing. For organizations that want ongoing AI engineering support, embedded partnership, or a rolling retainer, we offer that too. Let's talk about what fits your situation.
Jeremiah and Brian, personally. We don't subcontract the technical work or hand projects off to junior staff. You'll have direct access to both of us throughout the engagement. That's one of the things that makes working with us different from a larger agency.
That's a common starting point and a good fit for us. We'll audit what you have, identify the highest-impact improvements, and either advise your team or make the changes ourselves. We don't require a greenfield project — fixing an existing system often delivers more value faster than rebuilding.
Currently Taking New Clients

Tell us what you're
trying to build

No pitch decks. No RFPs. Just a direct conversation about your problem. We respond within one business day.

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