AI quant trading systems
Starter through production platforms; Apex Institutional Quant by application. Risk rails, source handoff, and written acceptance — not profit, return, or win-rate guarantees.
$4,500–$19,500 50/50
Harbor Artificial
Three paths: AI quant trading systems, priced security reviews, and RAG, agents, and ops. Sticker prices, timelines, and a written definition of done. Not an open retainer, and not a profit guarantee.
Start here
AI Quant Trading Starter $4,500
Start payment (opens Stripe in a new tab)Scoping Sprint $450
Pay in full (opens Stripe in a new tab)Code Risk Snapshot $650
Buy now ($650) (opens Stripe in a new tab)
Choose a path
Quant leads. Security reviews are second. RAG, agents, and ops stay a full path. Pick the outcome, then open the package with its price, timeline, and payment link.
Starter through production platforms; Apex Institutional Quant by application. Risk rails, source handoff, and written acceptance — not profit, return, or win-rate guarantees.
$4,500–$19,500 50/50
A 48-hour dependency and secrets scan of one repo, with the biggest risks ranked. Not a penetration test, an audit, or a certification.
$650 Paid in full
Docs Pilot, Feature Module, Workflow Agent, FAQ bots, landings, checkout, and automations — a shippable slice for product teams.
$900–$4,500 Deposit before build
Quant work is an engineering handoff only.
Quant outcomes are engineering handoffs only; no profit, return, or win-rate guarantees.
Packages
The button is the deposit on Stripe. Balance and mid-milestone links are the backup gates — Harbor also emails those invoices. Final pay releases source.
Start here
A paid first step: one scoping session, then a written scope, an acceptance checklist, and a fixed quote. The full fee is credited toward any Harbor package.
One production workflow (n8n, Make, or Zapier) — one trigger, one destination, an error alert, and a runbook. A small first project with written acceptance.
Quant systems
Starter AI quant trading system: automate one strategy with exchange/broker API, risk controls, optional LLM decision assist, code comments, model docs, and full source — the entry tier before multi-strategy or production platforms. Engineering deliverable, not a profit promise.
AI trading system with multi-strategy logic, centralized risk, backtesting, exchange execution hooks, documentation, and source — built to your rules, without financial-return guarantees.
Production-minded quant platform with AI agents, automated execution, risk controls, backtesting, and an ops dashboard — engineered for auditability and handoff, not promised alpha.
RAG, sites, and checkout
A chat-with-your-docs pilot — retrieval, citations, and a written checklist for what “good” looks like.
Founding price for our first few clients, in exchange for permission to publish a real case study. Then $4,000.
A FastAPI feature module that wraps an LLM behind clear request/response contracts — ready for your team to own.
Founding price for our first few clients, in exchange for permission to publish a real case study. Then $5,500.
One high-clarity landing page with lead capture and basic SEO — ready to share in about a week.
Stripe Checkout or Payment Links, success and cancel pages, a webhook stub, and a customer portal link — you stay the merchant of record.
Security
5 of the security catalog. The Code Risk Snapshot is the way in. Not a penetration test, an audit, or a certification.
S-ENTRY-1
Your code risks in 48h
Start here
$650
View scope and pay
S-CODE-1
Find the flaws before attackers
from $1,800
View scope and pay
S-CODE-8
Ship AI-built code safely
from $1,200
View scope and pay
S-RET-1
Security review every PR
from $800/mo
View scope and pay
S-MAIL-1
Stop spoofed email
from $350
View scope and payCase studies
Case studies of what the packages cover: trading consoles, RAG pilots, agents, landings, and ops workflows. Each one maps to a package with timeline, scope, and handoff.
Quant
Flagship institutional quant engagement for research and trading teams that need a production-minded research-to-ops stack they can own.
Quant
Single-strategy AI quant starter for teams that want broker hooks, auditable risk rails, and an LLM assist lane they can operate from day one.
Quant
Multi-strategy AI trading system for teams that have outgrown a single bot and need shared risk plus a historical validation path.
AI
Chat-with-your-docs RAG pilot for teams that need grounded answers with citations — not a freeform chatbot.
AI
FastAPI + LLM service module with typed contracts and documented failure modes for product teams that need something engineering can own.
Agents
Bounded workflow agent for teams that need allowlisted tools, step limits, traces, and pass/fail scenarios agreed before build.
Quant outcomes are engineering handoffs only; no profit, return, or win-rate guarantees.
How we work
Align on “done,” build to that list, then accept with a short bugfix. Deposit before we build. Change orders in writing.
We align on the outcome, what you’ll provide (docs, APIs, access), constraints, and a short written “done means…” checklist — before any build deposit.
We build to that checklist in a fixed window. Longer packages include a mid-build check-in. Anything outside scope gets a written change order with price and timing before extra work starts.
You accept against the agreed tests (pass/fail). You get a handoff runbook, plus a 14-day bugfix on what we delivered.
Engagement terms
Fixed packages. Written definition of done. Deposit before we build.
Every package ships against a short done means checklist you agree up front. Acceptance is pass/fail on that list, not open-ended polish. You also get a handoff runbook.
Work starts after the deposit clears. Most packages are 50/50: final pay when finished, before source handoff. Longer builds like Workflow Agent use a mid-review invoice. Quant packages, bought alone, use the same 50/50: deposit at checkout, final when finished, before source handoff. The deposit does not release code. Blueprint sign-off authorizes build; final pay authorizes code release.
“Honestly we just needed our people to ask questions against our own docs and see where the answer came from. Harbor did that in two weeks for a fixed price. Checklist said done and it was done. No drama.”
“I'm not technical. I am the person stuck in Slack at 4pm because a lead never made it into the CRM. They set up two workflows, error alerts, and a runbook so my team can rerun stuff without texting me. Total lifesaver.”
“Solo. Money is tight. Checkout Kit got Stripe live in a week and I stayed the merchant of record. That mattered more than a pretty page.”
Fit
If the need is on this list, we will say so plainly.
FAQ
Each package lists promise, sticker and rush price, timeline, payment terms, in/out of scope, and inputs we need from you. Delivery is against a written acceptance checklist and a handoff runbook.
Docs Pilot, Feature Module, and Workflow Agent have a founding price for our first few clients, in exchange for written permission to publish a real case study about the project. After those first clients, the price goes back up to the listed “then” price. There is no countdown and no fixed deadline.
Yes. Email [email protected] to stop. Amounts already paid stay paid. Work that has not started is not billed after the stop. The deposit is not refunded.
We pass on HIPAA or clinical work, regulated finance systems of record, realtime voice products, and open-ended founding-engineer retainers. Better to know early.
Share what you’re trying to ship, your timing, and any constraints you already know. We’ll reply from [email protected].