Grosu Development is a technology partner focused on applied AI. We build AI agents, workflow automations, and custom software for businesses and founders, and take each one from first use case to production in weeks.
MIT's 2025 GenAI Divide report found that 95% of organizations are getting zero return from generative AI. The same research found that external partnerships see twice the success rate of internal builds.
Every vendor pitches an agent. You need to know which processes in your business are worth automating, and which ones aren't worth the risk.
A demo works in a meeting, then stalls when it meets your real data, your edge cases, and how your team works day to day.
Off-the-shelf tools sit next to your CRM, ERP, and documents instead of inside them, so your team copies data between windows.
You've been burned by someone who shipped fast, vanished, and left you holding a half-finished system.
We put AI to work inside your business and inside the product you sell, and we build the custom software both of them need.
AI in your business
For companies that want AI doing the work their team still does by hand.
Chat and voice assistants that answer customers and staff from your own documents, tickets, and data using retrieval-augmented generation (RAG). They handle routine questions, show where each answer came from, and hand off to a person when a request needs judgment.
We automate the repetitive steps in operations, finance, and HR: reading documents, extracting data, routing approvals, and writing reports. Each automation connects to the CRM, ERP, and tools your team already uses, so the output lands where people work.
Agentic Search Optimization (ASO) gets your business cited when customers ask ChatGPT, Claude, Perplexity, or Gemini for a recommendation. We add structured data, machine-readable files like llms.txt, and answer-first content that AI assistants can quote, on top of standard SEO.
AI in your product
For founders and software companies building AI into what they sell.
We build AI into the software you sell: in-app assistants, semantic search, document summarization, and agent workflows that complete multi-step tasks for your users. We pick the model for each feature based on accuracy, cost, and where your customers' data has to stay.
Web platforms, mobile apps, and internal tools, designed and built end to end. The same team that ships your AI features builds the software around them, from the database schema to the App Store release.
We map the work your team repeats, the data behind it, and what it costs today. You get a short list of AI use cases ranked by impact and effort.
A written plan covering what we'll build, which systems and data it touches, the timeline, and the cost. You approve it before any build starts.
A working version in weeks, tested on your real data and real cases early, while changes are still cheap to make.
Weekly calls and daily async updates during the build. After launch we track whether the system saves the time it promised and keep improving it.
Our own delivery runs on Claude Code by Anthropic, with build sessions running in parallel and automated checks built in. Our engineers make every decision, and the AI handles the repetitive parts. We use the same tools we put to work for clients.
Same quality bar and the same review steps. The time we save comes from the work that doesn't need human judgment.
Claude Code lets us run multiple workstreams simultaneously. Frontend, backend, and tests happen in parallel instead of sequentially.
Every session includes automated validation so errors surface immediately, not during review at the end of a sprint.
Architecture, product logic, and code review are always done by our team. The AI compresses the mechanical work, not the thinking.
Sometimes, yes. If a tool already does the job, we'll tell you on the first call.
Off-the-shelf tools hit their limit when the AI needs your data, your systems, and your rules. MIT's researchers saw most AI projects fail at the same point, citing brittle workflows and poor fit with day-to-day operations.
We build for that gap. You get AI connected to the systems you already run, tested on your real cases, with a team that stays after launch.
From our very first conversation, I could tell he was different. He didn't just understand the technical side, he understood the vision. Every time we get on a call, clarity replaces confusion. He doesn't just build what you ask for. He cares about the outcome.
I really cannot say enough good things. He was so exceptionally responsive and went over and above to make sure we were happy. If you want somebody that can not only do the work well but is also an incredible human being, Antonio is your man.
Real projects. Real results. No fake metrics.
Three people. Every engagement.
Straight answers to what businesses and founders ask before they book a call.
Grosu Development is a technology partner focused on applied AI. We build AI agents and assistants, AI workflow automations, and AI features inside software products, and we still build custom web and mobile software end to end. The same three senior people run every engagement, from picking the first use case to running it in production.
An AI technology partner finds where AI will save time or make money in your business, then builds and runs the system that does it. We stay involved after launch, checking whether it saves the time it promised and adjusting it as your data and processes change. MIT's 2025 GenAI Divide report found that external partnerships see twice the success rate of internal AI builds.
We offer four AI services: AI agents and assistants built on your own data with RAG, AI workflow automation for operations, finance, and HR, Agentic Search Optimization so AI assistants cite your business, and AI features built into your software product. We also build custom web platforms and mobile apps.
We map the work your team repeats every week, how long it takes, and what data it depends on. Then we rank each candidate by the time or money it saves against the effort and risk to build it. The first build is usually a narrow, high-volume task with clean data, such as answering support questions or processing invoices.
A well-scoped first version usually takes 4 to 8 weeks from kickoff to production. That covers connecting to your data and systems, building the agent or automation, and testing it on real cases with your team. Larger systems ship in stages, with a working piece in use every few weeks.
Yes. We build web platforms, mobile apps, and internal tools end to end. Recent work includes a CRM and operations platform for the National Association of the Deaf in Romania, a marketing site and blog engine for GoWest.ai, and the IRVO performance-tracking app for iOS and Android. One team builds the AI and the software around it.
Agentic Search Optimization (ASO), also called answer engine optimization (AEO), is the work of getting your business cited when people ask AI assistants like ChatGPT, Claude, Perplexity, or Gemini for recommendations. It combines structured data, machine-readable files such as llms.txt, answer-first content, and crawler access rules. We built it into GoWest.ai from day one.
We use Claude Code by Anthropic to run build sessions in parallel with automated checks built in. The AI handles the mechanical work: boilerplate, test scaffolding, repetitive code patterns. Our team makes every architecture and product decision. What takes a traditional agency 4 to 6 months takes us 6 to 8 weeks.
Book a free 30-minute call. We'll look at your workflows or your product and name the first AI use case worth building, whether you work with us or not.
Book a Free AI Discovery CallOne call. A clear next step. No pressure.
