We unlck AI.

PrompX builds proprietary AI systems for teams whose off-the-shelf tools stop short: internal platforms, model infrastructure, private memory, document AI, and production AI automations your team can own. Get in touch

Case studies

Selected work.

Proprietary software

Replacing a bolted on SaaS AI with an in house ops platform

Their primary SaaS shipped AI features that demoed well and moved nothing. Two months embedded with the operators, we built a proprietary platform around how the team actually worked and cut a core process twenty five times.

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Infrastructure

Cutting model spend from one hundred thousand to four thousand a year

A fleet of qualification agents was projected to burn a hundred thousand on managed APIs. We re orchestrated onto RunPod and AWS, swapped the high volume calls for CLI invocations, and dropped spend ninety six percent.

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Knowledge

Persistent AI memory across a company's full document corpus

Their employees kept asking the same questions of the same documents. We built a memory layer that indexes the corpus, answers in context with citations, and learns from every correction the team makes.

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Sales enablement

Searching ten thousand calls and meetings by meaning, not by transcript

Their best closers' moves were buried in a vault of recordings. Embedding every call with Gemini embedding 2 made every objection, frame, and pricing exchange a few keystrokes away.

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AI Cloud

Standing up a private AI cloud across three regions

Their roadmap leaned on six different model vendors and the data was leaking in every direction. We built a private AI cloud across RunPod, AWS, and on premise GPUs so the company runs the models, not the vendors.

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Document AI

Local NVIDIA OCR pipeline turning documents into structured data

Their documents were leaking through a managed parser and the structured outputs were rarely clean. We deployed Nemotron OCR and NemoRetriever locally on their GPUs and shipped clean structured data with zero egress.

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How we work

Thirty days. From AI bottleneck to a system your team owns.

MapWeek 1

Find the highest-value AI system to ship.

We sit with your team, inspect the data, models, tools, and constraints, then choose the build with the clearest business value. No decks, no readiness scoring, no theatre. The output is a one-page brief your operator signs off on before we touch a keyboard.

BuildWeeks 2 to 3

Ship a working system on real data.

End-to-end in your stack, on your data, behind your guardrails. We measure it against the current process before week three closes, so the decision to keep it is a number, not a vibe.

HandoffWeek 4

Your team owns it after we leave.

We train your operator, write the runbook, and document every prompt, fallback, and integration. Fixed price, fixed scope, no retainer creep. The system stays even if we never speak again.

Not sure where to start? Just talk to us and we'll help you figure it out.

Featured offering

Embedded AI implementation.

A senior AI builder embeds with your team to design the proprietary tool, model layer, or infrastructure your current vendors cannot ship. Most engagements start as a thirty day sprint to prove value, then continue as the backlog grows.

Production AI systems

Proprietary tools, model integrations, private clouds, and AI automations shipped on your stack and your data.

Prioritised AI roadmap

Eight to fifteen AI system opportunities mapped with impact and effort estimates, scored against your revenue.

$6K / month

Fixed price for the full thirty day sprint. No hourly rates, no retainer creep, no surprise invoices.

You keep everything

Code, prompts, runbooks, fallback logic, and operator training. The system stays even if we never speak again.

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Let's talk

Bring us the AI work no vendor can ship for you.

We'll build it on your data and hand it back yours to own.