Rx 01
AI Development
RxAIPulse builds custom AI software: LLM-powered products, AI agents, retrieval (RAG) systems, and AI features inside your existing apps. We choose models on evidence, test them against your real data, and ship something your team can run and maintain.
You need this when
- An off-the-shelf AI tool almost fits, but it can't reach your data or your workflow.
- Your demo looks great and falls apart on real inputs.
- You want AI features in your product and nobody on the team owns them.
- You need answers from your own documents, not the open web.
What we deliver
AI agents
Agents that complete multi-step tasks using your tools, with clear limits on what they can do.
RAG systems
Search and answers over your documents and databases, with sources people can check.
LLM features in your product
Chat, summarization, extraction, and classification built into your web app or internal software.
Model selection
A side-by-side test of cost, speed, and quality on your own data, before you commit to a model.
Evaluation and guardrails
Test suites, logging, and safety checks, so a model update doesn't quietly break what works.
Diagnose first. Then prescribe.
- Step 1
Diagnose
We learn how the work happens today and what it costs you, then find where AI actually helps.
- Step 2
Prescribe
You get a specific recommendation with scope and tradeoffs, including what not to build.
- Step 3
Build
We ship working versions early, test them on your real data, and adjust from there.
- Step 4
Monitor
We measure results after launch and keep things working as models and tools change.
AI Development questions
What is custom AI development?
Custom AI development means building AI software around your own data, tools, and workflow instead of adapting your business to a generic product. It usually combines a large language model with retrieval, integrations, and testing that fit the job.
Which AI models does RxAIPulse work with?
We work across the major providers, including Anthropic Claude, OpenAI GPT, and Google Gemini, plus open-weight models such as Llama and Mistral. The right one depends on your task, budget, and data rules, so we test before recommending.
Can you add AI to our existing software?
Yes. Most projects add AI to something that already works rather than replacing it. We connect to your application and data through APIs, and keep the new features separate enough to change models later.
How do you make AI output reliable?
We build an evaluation set from your real examples and measure every change against it. In production we add logging, limits, and human review wherever a wrong answer would be costly.
Other services
- Rx 02
AI Automation
Workflows that read, sort, draft, and act across the tools you already use, so your team stops doing it by hand.
Workflows · Document processing · Human review
- Rx 03
Web Development
Fast Next.js websites, structured from day one to rank in search and get cited by AI answer engines.
Next.js · SEO, AEO, GEO · Performance
- Rx 04
Video Development
Video from script to final cut, combining traditional editing with AI visuals, voice, and motion.
AI video production · Scripts · YouTube packaging
Tell us what needs fixing.
A short note is enough. We'll read it and come back with what we'd do first.