Applied AI Engineering Services
We build production-ready AI systems — LLM applications, RAG pipelines, AI agents, vector search infrastructure, and evaluation workflows. Engineering only. No theory. No fluff. Real systems with real impact.
Production LLM System Development
We design and build complete LLM-powered applications. This includes model integration, retrieval pipelines, embeddings, vector stores, evaluation frameworks, and fully working Next.js frontends with secure backends.
Starting at $3,000RAG & Retrieval Pipelines
We implement robust Retrieval-Augmented Generation (RAG) systems optimized for speed, accuracy, and cost-efficiency using PGVector, Pinecone, Weaviate, or custom vector stores. Includes ingestion pipelines, chunking strategies, hybrid search, and evaluation tooling.
Starting at $2,500AI Agents & Workflow Automation
We build high-reliability AI agents and multi-step reasoning workflows that automate complex business processes. Includes agent memory, tool integration, routing logic, and safety/guardrails.
Starting at $2,000Custom AI Application Development
We build tailored AI applications end-to-end — from prototypes to production. Includes UX, API integration, backend architecture, logging/telemetry, observability, and efficient deployments.
Starting at $3,500LLM Infrastructure & Evaluation Engineering
We set up complete LLM infrastructure: evaluation pipelines, benchmarks, safety layers, experiment tracking, embeddings analysis, and observability to enhance reliability and performance.
Starting at $1,500Domain Expertise: Finance, Cyber-Security, ERP, Automotive, Knowledge Graphs
We bring deep applied-AI engineering expertise across highly specialized domains. From financial automation to cyber-security agents, ERP workflow intelligence, automotive analytics, and knowledge graph–based reasoning systems, we adapt LLM architectures to complex real-world sectors.
Specialized Projects — Contact UsHow We Build
A clean, engineering-focused execution workflow.
1. Technical Discovery
We assess your use case, constraints, domain, and data requirements.
2. Architecture & Plan
We design a clear, scalable architecture tailored to your needs.
3. Build & Deploy
We implement, iterate, test, and deploy production-ready LLM systems.