No vague "enterprise pricing." No proposals that take three weeks. We scope fast, give honest estimates, and build things you own outright — not a SaaS subscription you can't exit.
We don't sell subscriptions, lock you into proprietary platforms, or charge for features you didn't ask for. Everything we build is yours — self-hostable, open for inspection, documented. If you decide to take it in-house later, you can. That's by design.
Three structured ways to work with us, from a free scoping call to a full production deployment with ongoing support.
Before building anything, we need to understand what you actually have. The audit covers your existing data sources, how they're structured, where the friction points are, and what's technically feasible in your timeline and budget. You get a plain-language report — no jargon, no padding.
Most clients find that one or two high-leverage automations will solve 80% of the pain. We identify those and give you a specific, scoped proposal for the next step — or we tell you honestly that AI automation isn't the right tool yet.
You walk us through your operation — what data you have, what's costing time, what decisions are slow. No preparation needed.
You share representative samples — a few documents, an export, whatever's typical. We assess format, quality, and ingestion path.
A plain-language document with what we found, what's feasible, and a specific scope for the next step with an honest cost range.
A contained first deployment scoped to one workflow or use case — not a full enterprise rollout, not a prototype that never ships. A working system in production in 2–6 weeks depending on complexity, with real data and a real user or two.
The pilot is designed so you can assess real ROI before committing to a broader deployment. It's also the fastest way to prove to stakeholders (or yourself) that this is worth continuing. Every pilot is scoped to stand alone — it doesn't create dependencies you can't exit.
Examples: A document Q&A system for your legal or compliance team. A nutrition/product pipeline from ingredient input to live e-commerce listing. A job intake and tracking system for a manufacturing operation.
Timeline: 2–6 weeks to production
A full-scale deployment covering multiple workflows, multiple user roles, and integration with your existing systems. This is the engagement type behind PleaBrain and the Nutrifunction/BFM pipeline — production platforms, not side tools.
Typically follows a successful pilot. We build on the foundation established in the pilot phase, extend to additional workflows, and deliver a platform that the team actually runs on. Includes portal interfaces, admin tools, and operational dashboards where needed.
Timeline: 4–16 weeks depending on scope
Optional monthly retainers for post-deployment support, iteration, and model/integration updates as the underlying AI landscape changes.
AI infrastructure requires maintenance. Models change. APIs update. Clients want new features. A monthly retainer gives you a reserved block of hours to use however makes sense — bug fixes, model upgrades, new integrations, feature additions, or just questions.
This is intentionally flexible. Some months you need nothing. Some months you want to add a new workflow. The retainer rolls up to cover a backlog if you don't use it in a given month.
The same stack deploys across industries. Below is what "deployment" looks like in each vertical — the patterns that repeat regardless of domain.
Thousands of documents — emails, filings, exhibits, contracts — made searchable and answerable in under 60 seconds. Applicable to any domain where decisions require evidence from a large document corpus.
A plain-language input triggers a full pipeline: ingredient parsing, USDA nutrition lookup, cost calculation, pricing, and Shopify publish. 175+ staff hours saved in first deployment.
Job intake, queue management, output tracking, and operational reporting — replacing manual data entry and scattered spreadsheets with a structured, queryable operations platform.
Sermon archives, reference materials, project documents — all indexed and searchable. Demonstrates the infrastructure portability: any vertical with documents and a search need can deploy this stack.
Off-the-shelf tools are great for generic use cases. They're not designed for your specific data schema, your compliance requirements, your proprietary document formats, or your existing systems. When the thing you need doesn't exist as a SaaS product — or when data ownership matters — you need something built for your context. That's what we do.
A contained pilot — one workflow, clean data, clear requirements — can be in production in 2–3 weeks. More complex deployments (multi-source data, multiple integrations, portal UI) take 4–12 weeks. We don't pad timelines to manage expectations — if it takes two weeks, we'll tell you two weeks and deliver in two weeks.
Yes, outright. Everything we build for you is yours — source code, database schema, deployment scripts, documentation. There's no licensing fee, no platform lock-in, no "proprietary API" we control. You can take it in-house, have another developer extend it, or run it on your own infrastructure. We deliver the whole thing.
That's the most common situation. Real business data is almost always messy — inconsistent formats, missing fields, legacy systems with no export, PDFs that weren't designed to be parsed. The audit phase exists precisely to assess this. We've ingested everything from court documents and medical lab PDFs to manufacturer spreadsheets and email threads. Messy data is solvable, it just affects scope and timeline.
If it has an API, yes. We've built integrations with Shopify, Firebase, Firestore, PostgreSQL, MeiliSearch, USDA FoodData Central, OpenAI, and a range of document formats. If your system has a data export or an API we can call, we can integrate with it. If it doesn't, we assess what the extraction path looks like.
Most of our clients are not tech companies. Nutrifunction is a food delivery service. Blended Functional Medicine is a wellness practice. The law firm running PleaBrain does not have an engineering team. The value of custom AI infrastructure is highest in non-tech businesses where the competitive moat is operational excellence, not software — and where competitors are still doing things manually.
Every engagement starts free and stays honest. No retainers before we've proven value. No scope creep after we've agreed on spec.
20 minutes. You describe your situation. We tell you honestly if we're a fit.
FreeWe review your actual data. You get a written report and a specific proposal.
ScopedOne contained workflow in production. 2–6 weeks. You see real results.
$3.5K+Optional. Scale to additional workflows based on pilot ROI.
$12K+Optional monthly retainer. Iterate, maintain, expand as needed.
$600+/moThe fit call is free, takes 20 minutes, and you'll leave with a clear picture of what automation looks like for your specific situation — whether we build it or not.