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“Promptapp took us from a rough Figma prototype to a live, paying SaaS product in just 5 weeks. Their AI UX engineering is top-tier.”
Elena Rostova
Founder & CEO, FlowGenie AI
Move beyond raw models and research scripts. We engineer, design, and scale user-facing AI products that delight customers, solve real-world problems, and drive defensible market traction.
A proven end-to-end framework taking your AI software from early napkin concept to commercial launch.
We validate your product-market fit, technical data readiness, target user workflows, and core AI value proposition.
We design intuitive interfaces for probabilistic AI outputs, building rapid interactive prototypes in under 2 weeks.
We engineer production web/mobile apps, robust backend APIs, custom fine-tuned models, and user management.
We deploy to production with real-time prompt logging, latency tracking, drift detection, and continuous model upgrades.
Every AI product we engineer is built to achieve high user engagement, low inferencing costs, and commercial viability.
We design user experiences that handle streaming latency, fallback states, and model ambiguity with zero user friction.
Seamless architecture connecting polished React/Next.js and mobile apps with high-throughput cloud GPU inference engines.
Ship an interactive, enterprise-ready MVP to real customers in 4 to 6 weeks to collect early feedback and validate traction.
Engineered with semantic prompt caching and quantized models so your infrastructure margins stay healthy as user volume scales.
Most data scientists cannot build consumer SaaS, and typical software agencies don't understand models. We bridge both worlds:
Flexible engagement models designed for pre-seed startups, scaling SaaS brands, and enterprise innovation labs.
A focused zero-to-one agile squad dedicated to building, testing, and shipping an end-to-end commercial AI product to market within 6 weeks.
A full-lifecycle cross-functional team scaling an existing AI product—adding multimodal features, reducing latency, and driving user retention.
Senior full-stack AI engineers and MLOps specialists integrated directly into your existing development sprints to unblock your product roadmap.
From user-facing mobile apps to scalable cloud AI backends, we cover every layer of the modern AI software stack.
Multi-tenant cloud platforms complete with Stripe billing, user role management, intuitive dashboards, and automated AI task routing.
Context-aware in-app copilots that understand user intent, execute background database actions, and provide natural language interaction.
High-performance React Native, iOS, Android, and Next.js applications combining real-time voice, computer vision, and text generation.
Turning complex unstructured PDFs, financial filings, and contracts into interactive, searchable, verified customer workspaces.
Generative creative tooling for dynamic marketing copy generation, video scene synthesis, audio cloning, and creative design assistance.
Real-time personalized feeds, semantic search matching, dynamic ranking algorithms, and user churn prediction engines.
Transforming complex machine learning predictions into intuitive visual graphs, trend forecasts, and actionable executive insights.
Continuous telemetry tracking user feedback thumbs, prompt latency, token cost breakdowns, and automated retraining pipelines.
Our track record in transforming early AI concepts into defensible, revenue-generating software products:
Real feedback from startup founders and product leads who trusted us to build and launch their AI software.
“Promptapp took us from a rough Figma prototype to a live, paying SaaS product in just 5 weeks. Their AI UX engineering is top-tier.”
“They solved our latency issues with smart prompt caching and built a streaming frontend that our enterprise clients love.”
“Finding full-stack engineers who also understand model fine-tuning was impossible until we engaged Promptapp's team.”
Everything you need to know about building, launching, and scaling an AI software product.