What We Build
We build applications where AI is not a feature -- it is the foundation. Every component of the application is designed to support, enhance, and deliver AI capabilities to your users and your team.
AI-Powered Web Applications
Full-stack web applications with AI capabilities built into the core experience. Intelligent search, personalized content, automated workflows, and conversational interfaces that users interact with directly through their browser.
Internal Tools and Dashboards
Custom internal applications that make your team more effective. AI-enhanced dashboards that surface insights, admin tools that automate routine decisions, and operational platforms that reduce manual work across your organization.
API Services and Backends
AI-powered API services that other applications consume. Document processing endpoints, classification services, generation APIs, and intelligent middleware that adds AI capabilities to your existing product ecosystem.
Customer-Facing AI Products
Products where AI is the primary value proposition. Recommendation engines, intelligent assistants, analysis tools, and platforms that deliver AI-generated insights or content directly to your end users.
Data Processing Platforms
Applications that ingest, process, and analyze data at scale using AI. ETL pipelines with intelligent extraction, document digitization systems, and platforms that turn unstructured data into structured, searchable knowledge.
Mobile and Cross-Platform Apps
AI applications that work across devices. Progressive web apps, responsive interfaces, and cross-platform solutions that deliver AI capabilities wherever your users are, with performance optimized for each context.
AI App Development
Our Development Process
Discovery and Scoping. We start by understanding what the application needs to accomplish, who will use it, and what constraints exist. This produces a clear scope document with defined features, priorities, and acceptance criteria. No ambiguity about what we are building or why.
Architecture and Design. We design the technical architecture and user experience in parallel. AI applications have unique UX challenges -- handling latency, communicating confidence levels, managing user expectations around AI output. Our designs address these challenges explicitly.
Iterative Development. We build in two-week sprints with working deliverables at the end of each cycle. You see progress continuously, provide feedback that shapes the next sprint, and always know exactly where the project stands. No disappearing into a cave for three months.
AI Tuning and Optimization. AI components need iterative refinement based on real usage. We build evaluation frameworks, A/B testing infrastructure, and feedback loops that let you continuously improve AI performance after launch. The application gets smarter over time.
Launch and Handoff. Deployment includes infrastructure provisioning, monitoring setup, team training, and comprehensive documentation. You launch with confidence and your team has everything they need to operate the application independently.
AI Integration Patterns
Different applications require different AI approaches. We select and implement the integration patterns that best serve your use case.
LLM Integration
Direct integration with large language models for text generation, analysis, summarization, and conversation. We handle prompt engineering, context management, output validation, and cost optimization so the AI produces reliable, useful results.
RAG Systems
Retrieval-augmented generation systems that ground AI responses in your specific data. The AI answers questions, generates content, and provides analysis based on your documents, databases, and knowledge base rather than general training data.
Computer Vision
Image and video analysis integrated into your application workflow. Document scanning, defect detection, visual search, and automated image processing that adds visual intelligence to your business processes.
Predictive Models
Machine learning models that forecast outcomes, detect anomalies, and score probabilities based on your historical data. Demand forecasting, churn prediction, lead scoring, and risk assessment built into your application flow.
Technology Stack
We choose technology based on your requirements, not fashion. That said, our typical full-stack AI application uses Next.js or React for frontend interfaces, Python or Node.js for backend services, and PostgreSQL with vector extensions for data storage. AI capabilities connect through well-defined service boundaries so components can be upgraded or replaced independently.
For AI infrastructure, we integrate with the model providers and platforms that make sense for your use case. OpenAI and Anthropic for general-purpose language tasks, specialized models for domain-specific work, and open-source models when data privacy or cost require it. The application architecture abstracts the AI layer so you can switch providers without rewriting the application.
Hosting and deployment depend on your requirements. Cloud platforms (AWS, GCP, Vercel) for standard deployments, private infrastructure for sensitive data, or hybrid approaches when both are needed. We design for your operational reality.
Who This Is For
Companies building AI products. If AI is the core of your product offering, you need a development team that understands both application development and AI engineering. We bring both disciplines together.
Organizations modernizing with AI. If you need to rebuild or extend existing applications with AI capabilities, we can build from scratch or integrate AI into your existing platform depending on what makes more technical and financial sense.
Teams that have validated an AI MVP. If your MVP or proof of concept proved the approach works, we build the production application that delivers that value at scale. The transition from MVP to product is where many AI projects stall -- we make sure it does not.
Get Started
Describe the application you want to build. Whether you have detailed specifications or just a clear problem to solve, we will help you define the scope and build a plan that gets you from concept to launch.
Reach out at ben@oakenai.tech to start the conversation.