RAG & Knowledge Systems
Secure retrieval-augmented generation that gives your AI accurate, up-to-date answers grounded in your own data.
- ✓ Document ingestion & chunking
- ✓ Vector search & hybrid retrieval
- ✓ Source attribution & citations
AI That Actually Works
We build AI systems for real operations — not demos. Copilots, RAG pipelines, agent workflows, and automation designed to be reliable, accurate, and production-ready.
What We Build
From RAG-powered knowledge bases to multi-step agent workflows, we deliver AI systems that your team can actually rely on.
Agent Workflows
Multi-step AI agents that handle complex tasks with human-in-the-loop guardrails for safety and accuracy.
- ✓ Tool use & function calling
- ✓ Human approval checkpoints
- ✓ Error recovery & fallbacks
Copilots & Assistants
AI assistants embedded in your product or internal tools that help users work faster and smarter.
- ✓ Conversational interfaces
- ✓ Context-aware suggestions
- ✓ Domain-specific knowledge
Automation & Integration
Intelligent automation that connects your systems, reduces manual work, and scales with your operations.
- ✓ Workflow orchestration
- ✓ API & data pipeline integration
- ✓ Monitoring & alerting
How We Deliver AI Projects
A clear process that takes you from idea to production with confidence.
01
Discovery
We map your use case, data sources, and success criteria to define the right AI approach.
02
Prototype
A working proof-of-concept validates feasibility and surfaces edge cases before full build.
03
Build & Evaluate
Production development with evaluation pipelines, testing, and human review baked in.
04
Deploy & Monitor
Launch with observability, guardrails, and iteration loops to improve over time.
AI Development FAQ
Common questions about building AI systems with Apptitude.
What kinds of AI systems does Apptitude build?
We build customer-facing AI features, internal copilots, RAG-powered knowledge bases, agent workflows, and intelligent automation. Everything is designed for production reliability, not demos.
Do you work with OpenAI, Anthropic, or open-source models?
All of the above. We select the model and architecture based on your use case, budget, and data requirements. We help you avoid vendor lock-in while using the best tool for the job.
How do you handle AI reliability and hallucinations?
We use retrieval-augmented generation (RAG), structured outputs, human-in-the-loop guardrails, and evaluation pipelines to keep AI outputs accurate and trustworthy in production.
Can you add AI to our existing product?
Yes. We frequently integrate AI capabilities into existing applications, whether that means adding a copilot to your SaaS, automating internal workflows, or building a new AI-powered feature.
What does an AI project typically cost?
AI projects range from $30,000 for focused automation to $150,000+ for complex multi-agent systems. We scope and price during discovery so you know exactly what to expect before development starts.
Ready to build AI that works?
We'll help you identify the highest-impact AI opportunities and build a system your team can trust.