For Agencies

White Label AI Development
for Agencies

The technical partner agencies call when the white-label platform can't do it. We architect and build custom AI under your brand — you sell the work, own the client, and invoice at your own rate. Your client never knows we exist.

No pitch deck. Bring a request a client has actually made — you'll leave knowing whether it's buildable, roughly what it takes, and what to quote.

The Problem

Your Clients Are Asking for AI. You Can Sell It. You Can't Build It.

They've seen a competitor running AI chat, heard about AI receptionists answering calls, want automation in their lead follow-up. They expect their agency to handle it.

Today

Every option costs you something

Turn the work away and leave revenue on the table
Lose the client to a competitor who said yes
Route it to a platform that can't handle anything custom
Hire in-house at $118k–$152k fully loaded in year one
Justify that spend when AI is still a fraction of revenue
With a Build Partner

You say yes and keep the margin

Quote AI work with a real delivery capability behind you
Senior architecture without a senior salary on the books
Custom builds, not a rebranded template
Capacity that scales up and down with your pipeline
The client relationship stays entirely yours
Trust Structure

The First Question Every Agency Asks: Will You Steal My Client?

It's the right question, and a verbal assurance isn't an answer. Here is the contractual structure — this is what makes an arrangement white-label rather than plain subcontracting.

Your client works with your agency; we build behind your agency and never contact the client directly

NDA on client identity

Signed before scoping. Who your client is never leaves the engagement.

No branding in deliverables

Contractually prohibited. Nothing we hand over carries our name, in code comments, documentation, or UI.

IP assigned on completion

Work-for-hire. Code, data, and infrastructure become the agency's outright — no licensing-back, no retained rights.

Non-solicit

We do not contact, market to, or work directly with your client — during the engagement or after it.

Client calls under your name

We join only if you invite us, and when we do it's under your agency's name and email address.

Anonymized publication only

We keep the right to publish an outcome with no identities attached — "a 40-person SEO agency's client, quote turnaround X → Y". Pattern and result, never who.

The Wedge

We're the Call You Make When the Platform Can't Do It

Most white-label AI providers are platform resellers rebranding the same chatbot, or offshore shops supplying bodies. Both are genuinely fine for commodity requests — if your client wants a standard site chatbot, use a platform and keep the margin. Call us for the work underneath that.

Custom multi-agent systems

Pipelines where several agents each own one job, with clean handoffs and a human approval gate — not one prompt asked to do everything.

Automation on real business data

Workflows wired into a client's actual systems — CRM, ERP, catalogs, quote history — not a demo running on sample data.

Machine learning & forecasting

Scoring, ranking, and prediction models trained on the client's own history, with the evaluation structure to prove they work.

SaaS MVPs

When a client wants to productize rather than automate — a working product, phased so there's something testable at every stage.

Systems that run unattended

Built to survive real failure: retries, audit trails, monitoring, and a defined answer for what happens at 3am when something breaks.

Rescue work

A prototype that impressed everyone and won't survive production. We take those from demo to deployed.

Proof

Systems Running in Production, Not Slideware

Every number below is from a published case study on this site — click through and check them.

1

Quote processing engine

A four-stage pipeline for a B2B procurement team: parse the request, match suppliers, price in context, rank for approval. RFQ research went from 30+ minutes to under 60 seconds, team capacity effectively tripled with no new headcount, and recommendation accuracy passed 90% after the second build iteration.

Read the case study →

2

Five-phase AI product platform

An interior design platform delivered across five phases and multiple build cycles, combining image and text input with semantic search that consistently outperformed keyword search in user testing. The client had a working, testable product at every stage — not just at the end.

Read the case study →

3

Unattended content pipeline

Three channels running simultaneously on one automated pipeline, 24/7, with per-channel editorial identity preserved. Production went from hours per video to minutes of human oversight at setup. Adding a fourth channel is configuration, not engineering.

Read the case study →

Behind the work: M.S. Computer Science, 10+ years applied AI, and 10+ peer-reviewed publications. You get the senior person on the build, not a project manager relaying to a team you never meet. Meet the team →

How It Works

From Your Client's Request to Delivered Build

1

Scoping call — no client present

You bring what's being asked for. We tell you what's buildable, what isn't, and what we'd push back on. Straight answers, including "don't sell this yet" when that's the honest one.

2

Scope and fixed price

You get a written scope and a fixed price to mark up however you choose. No hourly surprises landing mid-project while you're exposed to your client.

3

We build, test, deploy

Under your brand, on your timeline, with progress you can relay to the client in their language rather than ours.

4

Handoff or stay on

Documented handoff to your team, or we stay on for maintenance and iteration. Your call, and it can change later.

Commercials

Projects From $15,000. Retainers Preferred.

Project work starts at $15,000 and scales with integration complexity, data readiness, and how many systems have to be touched. You mark up at whatever rate your market supports.

If AI work is becoming a recurring line in your delivery rather than an occasional one-off, a monthly retainer for senior build capacity is the better structure. It's more predictable for both sides than pricing every project cold, it means you can quote confidently before the scoping call, and it keeps capacity reserved when your pipeline is full.

We work with agencies in the US, UK, and Australia — async-first, with scheduled overlap for scoping and review.

Book a Partner Call → See the Work →
Common Questions

Partner FAQ

Will you contact or poach our client?
No — and it's contractual rather than a promise. We sign an NDA covering client identity, agree a non-solicit prohibiting us from contacting, marketing to, or working directly with your client, and our branding never appears in any deliverable. If we join a client call at all, it's only at your invitation and under your agency's name and email.
Who owns the code we pay you to build?
You do. IP is assigned to the agency as work-for-hire on completion, along with the code, data, and infrastructure. No licensing-back, no retained rights on our side. If you later want to bring maintenance in-house or move to another partner, nothing is locked to us.
What does a project cost, and how do we price it to the client?
Projects start at $15,000 and scale with integration complexity and data readiness. You mark up at whatever your market supports — we don't set or police your client pricing, and we don't need to see it. For recurring demand, a monthly retainer for senior build capacity is more predictable than quoting each project separately.
How is this different from a white-label chatbot platform?
Platforms are genuinely the right answer for commodity requests — a standard site chatbot, a templated assistant. If that's what your client needs, use one and keep the margin. We're the call you make when the platform can't do it: custom multi-agent systems, automation touching real business data, forecasting, and systems that must run unattended in production.
How is this different from hiring an offshore development shop?
Staffing shops supply capacity against a specification you have to write. If you're not technical, writing that specification is the actual hard part — and a wrong one gets built faithfully and expensively. We do the architecture and judgment: deciding what to build, what to cut, and where the system will break before it's live.
Do you publish anything about work you do for our clients?
Only anonymized outcomes — the pattern and the result, never your client's identity or yours. For example: "a 40-person SEO agency's client, quote turnaround reduced from X to Y." It's a stated term in the agreement rather than something negotiated afterwards, so there are no surprises.
What if our client's project fails or stalls?
We tell you early rather than late. Version one of an AI system is normally weaker than the demo that sold it, and we say so up front so you can set the client's expectations rather than absorb the gap yourself. If something isn't going to work, you hear it from us at the scoping call, not three invoices in.
Can you work with our timezone?
We work with agencies in the US, UK, and Australia. Delivery is async-first with scheduled overlap for scoping and review calls, so the timezone gap doesn't become the bottleneck on turnaround.

Have a Client Asking for AI Right Now?

Book a 30-minute partner call. Bring the actual request. You'll get a straight read on whether it's buildable, what it would take, and what to quote — including "don't sell this one" if that's the honest answer.

Partner Enquiry

Start the Conversation

Tell us what your client is asking for. We'll reply within one business day.

+1 916 936 1544
Sacramento, CA · working US / UK / AU
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