RAG and AI agent platforms
Retrieval systems that answer from your documents, built to run multi-tenant in production.
More on this RAG and AI agent platformsTechnology: Python
A multi-tenant RAG platform for document-heavy enterprise workflows
Four microservices powering retrieval, generation, configuration and memory as a knowledge agent inside a larger agentic system.
- 4 microservices in the platform
- 4 reranking strategies supported
Event-driven backends and microservices
APIs and services in Java, Python, Go or Node.js, designed to be handed over, not held hostage.
More on this Event-driven backends and microservicesData and analytics engineering
Pipelines, time-series stores and the query layer that makes them useful.
More on this Data and analytics engineeringNatural-language analytics over IoT time-series data
An analytics platform that lets operators ask questions of equipment telemetry in plain English.
- ~10,000 records ingested daily
- Plain English querying over time-series data
A distributed legal AI assistant for document query and generation
Concurrent document processing across Go and Python services, with retrieval-augmented generation over legal documents.
- Go + Python concurrent processing services
A real-time regulatory data platform for compliance teams
Distributed Go services processing regulatory rules for search, sharing and management on one platform.
- Real-time regulatory data streaming
An electronic medical records platform for clinicians
Patient data, appointments, prescriptions and medical histories behind one interface.
Read the case study An electronic medical records platform for cliniciansTell us what you are trying to build
Describe the system and the constraint you have hit. You will get a technical reply, not a sales sequence.