Core Service
Rapid AI Prototyping
LLM apps, RAG, agents, evaluators. Turn a napkin sketch into something you can demo
Overview
Rapid AI prototyping accelerates innovation by quickly validating ideas and building working demonstrations of AI-powered applications. Our sprint-based approach takes you from concept to demo in days, not months—leveraging state-of-the-art LLMs, retrieval systems, and agentic frameworks to prove feasibility, gather user feedback, and inform full-scale development.
Key Features
LLM Integration (Llama, Mistral, Qwen)
Rapid integration of open-source and commercial LLMs tailored to your use case—from chatbots and content generation to code assistants and document analysis.
RAG with ColBERT/TS
Retrieval-Augmented Generation systems that ground LLM responses in your proprietary documents, knowledge bases, and real-time data sources.
Guardrails & Evaluators
Safety layers, content filters, and automated evaluation frameworks to ensure outputs meet quality, safety, and business requirements.
Agentic Workflows
Multi-step AI agents that plan, execute, and adapt using tool calling, memory, and reasoning to accomplish complex tasks autonomously.
Technical Approach
Our rapid prototyping methodology emphasizes speed and iteration:
- Discovery Sprint: Define use case, success metrics, and technical constraints in collaborative workshop sessions
- Data Preparation: Quickly assemble representative datasets for retrieval, fine-tuning, or evaluation
- Baseline Implementation: Build end-to-end prototype with off-the-shelf models and frameworks (LangChain, LlamaIndex)
- Iterative Refinement: Gather feedback, tune prompts, adjust retrieval, and improve performance through rapid cycles
- Demo & Roadmap: Deliver working prototype with technical documentation and production roadmap
Use Cases
Rapid prototyping validates AI concepts across diverse applications:
- Enterprise Search: Semantic search over internal documents, wikis, and knowledge bases with natural language queries
- Customer Service Bots: AI agents that answer FAQs, troubleshoot issues, and escalate to humans when needed
- Content Generation: Automated drafting of reports, summaries, emails, and marketing copy aligned with brand voice
- Code Assistants: Context-aware code completion, documentation generation, and automated code review
Expected Outcomes
Rapid prototyping accelerates time-to-value:
- Working demo in 5-7 days from project kickoff
- 70-80% confidence in technical feasibility before major investment
- User feedback to guide feature prioritization and UX design
- Clear production roadmap with cost and timeline estimates
Ready to Prototype Your AI Idea?
Let's turn your concept into a working demo in one week. Book a rapid prototyping sprint today.