AI-Native Applications
Applications where artificial intelligence is fundamental to the product experience. Not chatbots bolted on as an afterthought, but systems designed from the ground up to leverage LLMs, embeddings, and intelligent automation.
What we do
We build production AI systems that solve real business problems. From RAG-powered knowledge bases running on $10/month infrastructure to document intelligence pipelines processing thousands of claims daily, our AI work is grounded in practical outcomes. We pick the right model for the job — Gemini Flash Lite for cost-sensitive workloads, Claude for complex reasoning, fine-tuned small models for specialized tasks — and build the infrastructure to run them reliably.
Every AI project starts with a simple question: does this actually need AI, or is a well-designed rule engine cheaper and more reliable? We have built enough LLM-powered systems to know when AI genuinely adds value and when it is expensive complexity for its own sake. When AI is the right call, we move fast — a working prototype in one to two weeks, using real data, so you can validate the approach before committing to a full build.
Model-Agnostic
We are not locked into one provider. We pick the right model for cost, latency, and accuracy — and swap when something better ships.
Production-First
Demos are easy. Production is hard. We build for error handling, fallbacks, cost controls, and monitoring from day one.
Ideal For
- Startups building AI-first products
- Enterprises adding AI to existing workflows
- Teams with domain data that needs intelligent search
- Companies automating document processing
- Products requiring conversational AI interfaces
Core Tech
What we deliver
Everything you need to go from idea to production with ai-native applications.
LLM integration with OpenAI, Anthropic, Google, and local models
RAG systems with vector databases and semantic search
AI agent orchestration with tool use and function calling
Document intelligence — OCR, classification, entity extraction
Conversational interfaces with streaming and context management
Embedding pipelines for search, recommendations, and clustering
Human-in-the-loop review workflows for high-stakes decisions
Cost optimization — model selection, caching, prompt engineering
How we approach ai-native applications
A proven process refined over 14 years and hundreds of projects. No surprises, no hand-waving.
Problem Definition
Identify where AI adds genuine value vs. where traditional software is sufficient.
Prototype
Build a working proof of concept with real data in 1-2 weeks to validate the approach.
Production Build
Harden the system — error handling, fallbacks, monitoring, cost controls.
Iterate
Measure accuracy, gather feedback, improve prompts and retrieval quality continuously.
Why Fordel for ai-native applications
We have been on the other side of bad agency relationships. We built Fordel to be the development partner we wish we had.
Model-Agnostic
We are not locked into one provider. We pick the right model for cost, latency, and accuracy — and swap when something better ships.
Production-First
Demos are easy. Production is hard. We build for error handling, fallbacks, cost controls, and monitoring from day one.
Cost-Conscious
RAG on $10/month infrastructure is not a dream — it is a system we have built and deployed. We optimize for your budget, not our billable hours.
Related projects
4 projects using ai-native applications
Finance AI Chatbot
A fintech founder needed an AI chatbot that gives accurate financial answers from their own knowledge base, not generic LLM responses.
Insurance Claims Processor
Manual claims processing took 15+ days with 23% error rate in data extraction.
Inventory Forecasting Engine
Seasonal demand swings caused frequent overstock and stockouts, eating into margins.
Customer Support AI Agent
Support team was drowning in repetitive tier-1 tickets, with 72-hour average response time.
Where we apply ai-native applications
Healthcare
HIPAA-compliant healthcare technology for patient engagement, clinical workflows, and operational ef...
E-commerce
E-commerce platforms, recommendation engines, and fulfillment systems. We build the technology that ...
Fintech
Financial technology platforms that handle money, compliance, and trust. We build payment systems, t...
Insurance
Insurance technology that automates the tedious parts of claims, underwriting, and policy management...
SaaS
Software-as-a-service platforms with multi-tenant architecture, subscription billing, and the infras...
Legal Tech
Legal technology that reduces the manual labor in contract management, document review, and complian...
Tech stack
Technologies we use and recommend for ai-native applications projects. Stack selection always depends on your specific requirements.
Common questions about ai-native applications
Model selection, prompt caching, semantic caching, and right-sizing. We start with the cheapest model that meets accuracy requirements and only move up when we have data showing we need to. Most production RAG systems we build run under $50/month in API costs.
Yes. We handle PDFs, Word docs, spreadsheets, database records, and API responses. The first step is always understanding your data format and volume, then designing the right ingestion pipeline.
RAG with proper retrieval reduces hallucination significantly. We add confidence scoring, source citations, and human-in-the-loop review for high-stakes decisions. No system is 100% accurate — we design for graceful handling of uncertainty.
Prototype in 1-2 weeks. Production MVP in 4-8 weeks depending on complexity. The prototype phase is critical — it validates the approach before you commit to a full build.
Explore other services
Frontend Development
Fast, accessible, maintainableModern, responsive interfaces that users love. We build fast, accessible frontends with React and Next.js — pixel-perfec...
Backend Development
Scalable APIs, clean architectureScalable APIs and server infrastructure built to handle growth. Clean architecture, comprehensive testing, proper auth, ...
Mobile Applications
Cross-platform, native feelCross-platform apps that feel native on iOS and Android. Offline sync, push notifications, app store deployment — one co...
Cloud & DevOps
Infrastructure that scales with youInfrastructure that scales with you. CI/CD pipelines, container orchestration, monitoring, and security. We set up your ...
Product Strategy
Build the right thing firstNot sure what to build first? MVP scoping, technical architecture, and roadmaps that make sense for your runway. Honest ...
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