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."