New Introducing PATH — the deployment mile, productised →

I turn wasted AI spend into systems that ship.

Your AI bill went up last year. Can you point to one thing it improved? I embed with your team, find where the money is burning, and build the fix into production — past your security team, owned by your people after I leave.

Find your Ground Truth → See plans

Fractional Forward-Deployed Engineering · for regulated & growth-stage teams

// what is a forward-deployed engineer

An FDE embeds inside your company — not to advise from the outside, but to build and ship the fix in your environment. It's the model Palantir and OpenAI use for their hardest deployments. I bring it to your operation: half engineer, half operator, accountable for the outcome — not a report, not a login, not a slide deck.

Who this is for
Growth-stage & regulated fintech ~50–500 people AI spend, no ROI Eng teams stretched thin Ops / Finance / Compliance leads Security-conscious orgs
// the token-burn doom loop

AI theater is expensive.
Outcomes are rare.

Most companies are stuck in the same loop. Spend climbs, nothing ships, and the next good idea gets killed because the last one burned trust.

01

Leadership wants AI

Board pressure, FOMO, an offsite. The mandate comes down.

02

Teams start building

Non-tech teams reach for Lovable, Cursor, ChatGPT and start hacking.

03

It stalls before prod

Security flags it. It can't touch real data. Nobody owns it.

04

Spend keeps climbing

The bill grows. The outcome never arrives. Skepticism deepens.

It's not an AI problem. It's a deployment problem — the only mile that matters.

// why me

The part that's hard to copy.

A dev shop can't speak to your business. A Big-4 firm doesn't ship. An internal hire can't see across silos. I clear all three bars.

{ }

Dual-credibility

I speak plain English to your business teams and I've shipped under tier-1 financial-services compliance, payments at 4,000 TPS, and trading platforms at 5M+ users. I clear the gate that kills most AI projects.

⌘

Security as a co-author

I go to your Security team in week one, build to their rules from day one, and hand them the audit artifacts they normally chase. By review time, there's nothing to argue about.

↗

Capability, not dependency

I built a platform layer 20–30 teams adopted and ran without me. When I leave, I leave a working, documented system — and a team that can run it.

⚙

I arrive with battle-tested parts

Production-grade RAG, agent orchestration, compliance gates and security scaffolding — including our own products, PATH and Shield. Your build ships in weeks, security-shaped from the first commit.

// products

Two walls every AI project hits.
We productised both.

Engagements stall in the same two places: getting it deployed, and getting access approved. PATH and Shield are the parts I kept rebuilding for clients — turned into products.

PATH by MeetFDE
Waitlist open
Wall 01 · the deployment mile

From a repo to verified live — without anyone writing YAML.

A deployment control plane that runs beside your cluster. Git stays the source of truth, every change carries a name, and AI proposes while people decide.

  • Every change is an attributed Git commit — the audit trail is a by-product
  • Read-only cluster access, by construction
  • Secrets you can write, but never read back
Explore PATH →
Shield by MeetFDE
In design
Wall 02 · the access mile

Know who can access what — and why.

AI access governance: a plain-language map of who holds which permissions, risky grants flagged with the reasoning, and nothing changed without a human's approval.

  • Access reviews people actually read
  • Least privilege, explained — not just enforced
  • Evidence your auditors can use as-is
Explore Shield →
// why not the alternatives

Same problem. Different altitude.

Every other option fails at least one of the things that actually decide whether AI ships.

Capability
Fractional FDE (me)
Dev shop / freelancer
Big-4 consultancy
Internal hire
Ships production code
✓
✓
— decks
✓
Embeds with your team
✓
partial
early only
✓
Speaks to non-tech & business
✓
—
✓
partial
Ships under security / compliance
✓
—
partial
partial
Sees across silos (org-wide)
✓
—
✓
—
Brings own deployment & access tooling
✓ PATH · Shield
partial
—
—
Leaves you self-sufficient · no lock-in
✓
—
—
n/a
// plans

Run the platform yourself.
Or bring the engineer with it.

PATH plans for teams who want to run deployment themselves, and Enterprise Plus when you want a forward-deployed engineer to ship it with you.

Individual

Invite only

For builders shipping their own apps, without a platform team.

Runs on PATH's cloud · usage-based

  • Deploy from a GitHub URL or a folder
  • A preview for every pull request
  • Variables & write-only secrets
  • Permanent apps that never expire
  • Datastores and custom domains
Request an invite

Startup

Coming soon

For teams who want their apps in their own cloud, with guardrails.

Runs on your AWS · your GitHub org

Everything in Individual, plus:

  • Connect your own AWS and GitHub org
  • Named environments: uat, prod and more
  • Four-eyes approvals
  • Members with access levels
  • Audit log
Join the waitlist

Enterprise

Coming soon

For regulated organisations that need the control plane inside their walls.

Self-hosted · contract

Everything in Startup, plus:

  • Self-hosted control plane
  • Sign in with your identity provider
  • Your own secret store
  • Air-gapped installation
  • Licence-based, on contract terms
Talk to us
WITH AN FDE

Enterprise Plus

By engagement

For organisations that want it shipped, not just licensed: the platform plus a forward-deployed engineer.

Your cloud · engagement-based

  • Security review co-authored from week one
  • No lock-in, no long contracts
Find your Ground Truth →

Everything in Enterprise, plus:

  1. Ground Truth1–2 weeks embedded. The Field Report: your 3 real problems and the one to ship in 30 days. Credited toward the build.
  2. Forward-Deployed BuildFixed-scope sprints to production, past Security, documented and handed over.
  3. Keep-It-AliveOptional retainer to run it and level up your team. Cancel any month.

◐ rolling out during the invite-only previewFull plan comparison →

// what "production-grade" actually means

Five layers I install — not a chatbot.

"Shipped" isn't a demo that works once. It's these five, built to survive a security review and your real load.

01

Data foundation

Searchable, owned knowledge over your real docs and systems (RAG) — with clear owners, not a toy demo on a sample file.

02

Model & cost governance

Unified model access with token/cost visibility and guardrails — so spend maps to outcomes and can't quietly spiral.

03

Agents in the workflow

AI embedded where the work actually happens — inside your tools and processes, not an isolated window nobody opens.

04

Security & compliance by design

Built to your Security team's rules from day one: scoped data, access controls, audit trails. Shipped under tier-1 financial-services compliance before.

05

Operations & handover

Runbooks, UAT, and training so your team runs it after I leave. Capability, not dependency.

// track record

Shipped, under real constraints.

Regulated retail-trading platform0→1 Engineering & Cloud practice
Built a Terraform-based internal IaaS that took provisioning from days to minutes — removing the single biggest bottleneck a regulated trading platform faced.
Hyperscale consumer platformDirector — Platform & Cloud
Reusable platform layer + Python CI/CD across 20–30 teams, at marquee-event peak — millions concurrent across 2,000+ instances.
Self-built GenAI productSolo-built · In production
Production GenAI/RAG compliance platform with an agentic, compliance-gating SDLC module — AI that drafts rules and gates merges, live in production.
15+
Years engineering
11+
Years on AWS
5M+
Users served
4,000+
TPS · financial payments
// straight answers

The questions you're already asking.

Will this become a permanent line item?
No. No lock-in, cancel any month. I build so your team can run it without me — the retainer is optional and lasts only as long as I'm visibly worth it.
Who owns and maintains it after you leave?
You do. I hand over a documented, production system with runbooks and training. If you want me on call for the next thing, that's the optional Keep-It-Alive retainer — your choice, not a trap.
How do you get past our Security and compliance team?
I go to them in week one and build to their rules from day one — scoped data, your existing identity systems, audit artifacts handed over. I've shipped under tier-1 financial-services compliance, so this is the default, not an afterthought.
Do I have to use PATH or Shield to work with you?
No. Engagements run on your stack and your tools. If PATH or Shield fit, they shorten the build; if they don't, they never come up.
What if the diagnostic finds nothing worth building?
Then I tell you — and you've spent very little. The Ground Truth fee is credited toward a build if you continue, and there's no obligation to. I'd rather lose the deal than sell you theater.
Isn't this just another "AI consultant"?
No. Consultants hand you a deck. I write production code, ship it into your environment, and stay accountable for the outcome. If it doesn't move a real number, it isn't done.
How do you keep token / AI costs under control?
Cost governance is one of the five layers I install: usage visibility plus guardrails so spend maps to outcomes. The whole point is ending the token-burn, not adding to it.
Can my non-technical team actually use what you build?
Yes — that's the point. I build for your operators and train them, so the people who feel the pain every day can run the fix themselves.
// start with the truth

Let's find your Ground Truth.

Tell me where your AI spend is going. In two weeks you'll know exactly where it's leaking and what's worth building — no obligation. If I'm not the right fit, I'll tell you, and point you to who is.

I reply within one business day · hello@meetfde.ai