Custom LLM Application Development
Turning raw AI models into production-ready software for your specific workflows.
From API to Application
Having access to Claude or ChatGPT is easy. Integrating them into a secure, hallucination-free application that actually understands your enterprise is hard. We build specialized Large Language Model applications—from intelligent retrieval systems (RAG) to custom autonomous agents—tailored entirely to your specific operational needs.
Example Deliverables
- Internal Knowledge Agents (RAG): Private chatbots that answer questions by retrieving data exclusively from your internal wikis and documents.
- Automated Document Synthesis: Application backends that ingest 100-page proposals and output structured, formatted executive summaries.
- Bespoke Chat Interfaces: Secure web and mobile frontends designed specifically for your employees or clients to interact safely with AI models.
Case Study: FinTech SaaS Provider
Challenge: The company's onboarding process was entirely reliant on senior engineers answering repetitive questions about their proprietary API, crippling product development speed.
Solution: We developed a custom unified Retrieval-Augmented Generation (RAG) application hooked directly into their confluence pages, Slack history, and GitHub documentation. We deployed it as a dedicated Slack integration for new hires.
Outcome: 85% of onboarding questions were handled autonomously by the custom LLM app with zero hallucinations. Senior engineering interruption dropped significantly, accelerating time-to-first-commit for new hires globally.
"The custom AI app Pera Systems built feels like having our most senior engineer universally available to everyone on staff 24/7. It didn't just solve our onboarding bottleneck; it completely revolutionized how we share engineering knowledge internally."