We turn ambitious ideas into launch-ready AI products for non-technical founders. By leveraging advanced models and best practices for technologies like retrieval-augmented generation, and proven guardrails, we create AI solutions that perform accurately, safely, and effectively from day one.
Pragmatic builds investor-ready AI MVPs on compressed timelines. We de-risk scope, use proven components, and launch fast so founders can validate, raise, and iterate with real users.
Align on jobs-to-be-done, success metrics, and a lean feature set to hit your fundraise or pilot goals
Choose the right LLMs, vector DBs, and retrieval strategy—optimize for reliability before customization
Ship a simple, usable flow first—connect model APIs, storage, and basic analytics for fast feedback
Run founder-led pilots, capture usage data, and harden prompts and guardrails before demo day
Pragmatic’s team delivered outstanding, timely work that exceeded all expectations. Their attention to detail, responsiveness, and professionalism made the entire process seamless and efficient. It’s rare to find a team this reliable and talented — they truly are an industry secret… shhh! Looking forward to working with them again soon.
A focused workflow that proves value: for example, an AI assistant with retrieval (RAG) over your documents, a prospecting copilot that drafts outreach, or a content generator with approval and analytics. We prioritize one user journey and ship a reliable demoable product that investors and pilot customers can use.
For MVPs, we typically integrate proven foundation models (e.g., GPT-4, Claude) via API for speed and quality, then add retrieval over your data for relevance. This avoids heavy training cost while delivering strong results; fine-tuning or custom models can come later if ROI is clear.
We combine retrieval-augmented generation (RAG), prompt guardrails, source citations, and evaluation checks. We also log interactions, review edge cases, and iterate on prompts and retrieval to reduce hallucinations and keep responses on-policy for the pilot scope.
Week 1–2 discovery and scoping, Week 3–6 backend and AI integration, Week 5–8 UX and user flows in parallel, and final hardening and launch—an approach that keeps scope tight and leads investor-ready demos on time.
We manage end-to-end delivery, translate goals into a clear product spec, select the stack, and own the shipping plan. You stay focused on users, pilots, and outcomes while we handle the technical work and weekly progress checkpoints.
Reach out and let’s start a conversation, regardless of where it goes — no commitments, no marketing emails — just one of our experts guiding you through how we would think through bringing your project into reality.
