AI Engineering

Production AI systems from multi-agent automation to semantic search over millions of documents

AI Engineering preview

Build intelligent systems that autonomously handle complex workflows, deliver instant answers from massive document repositories, and scale operations without proportional hiring. Our AI solutions combine multi-agent architectures, production RAG pipelines, and LLM-powered decision making proven across 6,000+ daily users and enterprise-scale deployments.

Problems We Solve

Challenge

Manual validation processes taking 90 days blocking critical operations

Our Solution

Multi-agent validation systems reducing 90-day cycles to 3 days with autonomous SQL checks, flat-file comparisons, and AI-generated rules

Challenge

Legacy keyword search missing 40-60% of relevant documents

Our Solution

Hybrid semantic + keyword retrieval with ELSER V2 achieving 90%+ recall across millions of engineering documents

Challenge

Users can't get direct answers, only document lists

Our Solution

Production RAG systems serving 6K+ daily users with cited, summarized answers and source traceability

Challenge

Manual operator review bottlenecks in satellite telemetry analysis

Our Solution

Real-time anomaly detection reducing manual review by 80% across 5K+ sensor streams

Our Approach

1

Use Case Assessment & Architecture Design

Deep dive into your workflows and document repositories. We map automation opportunities, data sources, and access patterns to design multi-agent systems or RAG architectures optimized for your scale.

2

Pipeline Development & Validation

Build robust ingestion pipelines, embeddings generation, and multi-agent orchestration. We implement hybrid retrieval (BM25 + vector search), deterministic validation rules, and LLM integration with full audit trails.

3

Incremental Deployment & Accuracy Validation

Deploy with parallel validation against existing processes. We prove accuracy before full cutover, implement human-in-the-loop checkpoints, and ensure graceful degradation for mission-critical workflows.

4

Monitoring, Optimization & Scaling

Implement observability dashboards tracking agent performance, search recall, and SLA compliance. We continuously optimize retrieval relevance, agent decision logic, and scale to additional workflows or document sources.

Technology Stack

LangChainAI / LLM Frameworks
LangGraphAI / LLM Frameworks
OpenAI GPT-4AI / LLM Frameworks
ElasticsearchSearch / Vector DBs
ELSER V2AI / LLM Frameworks
PineconeSearch / Vector DBs
ChromaSearch / Vector DBs
OpenAI EmbeddingsAI / LLM Frameworks
PythonProgramming Languages
FastAPIBackend / APIs
PostgreSQLDatabases
RedisDatabases

Proven Results

Multi-Agent Payroll Validation System

Multi-Agent Payroll Validation System

A multi-agent validation engine that automates SAP payroll quality checks. Agents run SQL validation, flat-file comparisons, and AI-generated rules to detect issues across legacy systems.

12 FTEs Saved
Enterprise Engineering RAG

Enterprise Engineering RAG

Production search engine using ELSER V2 and Elasticsearch serving 6,000+ daily users. Hybrid semantic + keyword retrieval over millions of engineering documents with domain-specific accuracy.

6K+ Users
Corporate HR RAG

Corporate HR RAG

Rebuilt legacy search platform with modern BM25, hybrid vector retrieval, and RRF ranking. Improved query relevance, reduced ingestion time, and decreased operational overhead for engineering teams.

3× Faster Insights

Ready to Build Production AI Systems?

Schedule a free consultation to discuss your AI engineering needs. Whether you need multi-agent automation, enterprise RAG, or intelligent search, we'll design a solution proven at scale.