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WINDROSE

Windrose Labs — Production Rescue + Automation_

Get unstuck.
Ship for real.

NDA-friendly · Replies <24h · Clear starting prices

We rescue AI-built apps that broke on the way to production, install approval-first lead follow-up systems, and find launch blockers before your customers do.

[ One visible problem. One clear first step. ]
$149
Production diagnostic
3–7d
Defined rescue sprint
Fixed
Scope before implementation
100%
Your code and IP
AI APP RESCUE FROM $149 ✦ LEAD RECOVERY FROM $1,500 ✦ LAUNCH QA FROM $149 ✦ SENIOR TEAM ONLY ✦ NO SURPRISE INVOICES ✦ AI APP RESCUE FROM $149 ✦ LEAD RECOVERY FROM $1,500 ✦ LAUNCH QA FROM $149 ✦ SENIOR TEAM ONLY ✦ NO SURPRISE INVOICES ✦
/01 — Selected Work

The Work

Most of our work ships under NDA — so two of these wear codenames. What we can't show, we describe. What we can, we link.

CASE 01 — CODENAME: BAZAAR
Redacted product interface
Under NDA
Screens withheld at client's request
AI Agents Marketplace
ClientConfidential
ScopeFull platform — discovery to deployment
Under the hoodMulti-agent orchestration · LLM routing · sandboxed execution
StatusShipped end-to-end
The build story

A full two-sided marketplace — agent publishing, discovery, sandboxed execution, usage metering, and an orchestration layer routing requests across multiple LLM providers without them stepping on each other. The kind of platform teams usually staff ten people for; we architected, designed, and shipped it lean, end-to-end. That's all we can say — and honestly, the silence is the best part of the review.

CASE 02 — CAUSALITH · OUR OWN
Causalith — research copilot with cited answers and knowledge graph
Causalith
WhatAI research copilot — your research buddy
Under the hoodRAG · Neo4j knowledge graphs · vector embeddings
DoesPaper ingestion → citation-grounded, graph-linked answers
The build story

Our own product — and our proof of craft. Papers are parsed, chunked, and embedded into a vector database; entities and claims are lifted into a Neo4j knowledge graph; every answer is retrieval-grounded and cited back to the exact passage. Ingestion pipeline, graph construction, RAG layer, and the interface you see here — all built in-house. When we say "production AI," this is what we mean.

CASE 03 — CODENAME: LORESMITH
Redacted game companion interface
Under NDA
Game + client name confidential
In-Game AI Companion
ClientConfidential — game studio
ScopeCustom local LLM with a designed personality
Under the hoodFine-tuned on lore · runs local · Discord-native
StatusLive, in character 24/7
The build story

A local model fine-tuned on the game's entire lore corpus, wrapped in a personality designed to never break character. Persistent memory, moderation guardrails, and native Discord integration — running on the studio's own hardware, so no API bills and no player data leaving the building. Players talk to it like it's part of the world, because it is.

/03 — Method

No Surprises

Every Friday: a demo you can click, and a progress note in plain English.

01
Discover
WEEK 1

One workshop. One scope. One price. What we build, what we deliberately don't, and what it costs.

02
Design
WEEKS 2–3

Screens you can react to within days — not a big reveal at the end. We iterate in the open.

03
Build
WEEKS 3–8

Senior engineers ship weekly to live staging. You watch the product become real.

04
Ship
ONGOING

Launch, monitor, fix what reality finds. Then a clean handover — or we stay on as your team.

Windrose took WaveScore from an ambitious concept to a focused, working product. They understood the experience we wanted to create, moved quickly without cutting corners, and kept every product and engineering decision grounded in what our users actually needed.
— Curtis Bate · WaveScore
The Omni Mind AI bot demanded both technical depth and a strong sense of character. Windrose handled the complexity thoughtfully, communicated clearly throughout the build, and delivered a system that felt reliable, distinctive, and ready for its community.
— Kevin Shaw · Omni Mind
Windrose turned the AI agent marketplace into a coherent, production-ready platform. They made complex orchestration and infrastructure decisions understandable, shipped consistently, and approached the product like owners rather than an outsourced development team.
— Sebastian Blanc · AI Agent Marketplace
Worked with us? Send your words — they go right here ▸
TELL US YOUR BUDGET ✦ WE'LL TELL YOU WHAT IT BUYS ✦ HELLO@WINDROSELABS.COM ✦ REPLY UNDER 24H ✦ FIRST CALL IS FREE ✦ TELL US YOUR BUDGET ✦ WE'LL TELL YOU WHAT IT BUYS ✦ HELLO@WINDROSELABS.COM ✦ REPLY UNDER 24H ✦ FIRST CALL IS FREE ✦
/04 — Transparent Pricing

Know the
First Number

These are working ranges for a defined scope. You will see the exact price in writing before implementation begins.

AI App Rescue
$149
Diagnostic · credited to repair
  • Evidence and blocker analysis
  • Fixed repair proposal
  • Sprint: $900–$2,500
  • Optional care: $250–$750/mo
Recurring revenue
Missed Lead Recovery
$1,500+
Focused workflow setup
  • One lead journey installed
  • Human approval before sends
  • Monitoring: $200–$500/mo
  • Messaging billed at cost
Launch QA + Repair
$149+
Audit · credited to cleanup
  • Affected pages and evidence
  • Risk-ranked repair scope
  • Cleanup: $500–$1,500
  • Retest before handover

Not sure which fits? Send six short answers. We will point you to the smallest sensible first step.

Open the project intake ▸
/05 — Questions

Ask Us

Which offer should I choose?

Choose AI App Rescue when a product is already stuck, Launch QA when it is close to release but needs evidence, and Missed Lead Recovery when follow-up is the visible revenue leak. If you are unsure, use the short intake and we will point you to the smallest sensible step.

How fast can we start?

A diagnostic or audit can usually begin faster than a full build. Send the short brief and we will reply within one business day with the access needed, the next available start, and any important constraint.

Who actually does the work?

The same senior product and engineering team involved in scoping performs the work. We do not hand a defined rescue or audit to an unknown subcontractor after the sale.

Who owns the code and IP?

You do — fully, from day one. Everything lives in your repositories and accounts. If we part ways, you lose nothing.

Are the prices fixed?

The published numbers are starting prices and working ranges. Your exact scope, price, dependencies, and exclusions are written down before implementation begins. Changes are priced before they are built.

We're not technical. Is that a problem?

No. Describe the customer problem and what you expected to happen. We translate the technical evidence into plain decisions, priorities, and commercial options.

Can we sign an NDA first?

Yes. We can sign an NDA before you share a repository, credentials, customer data, or sensitive business context. Never place secrets or passwords in the public intake form.

One problem.
One next step.

Send a short project brief
Reply within one business day · NDA before you share · Honest fit check