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Build PillarCore AI

Custom AI & LLM Integration

RAG pipelines, agents, and custom AI built on your data.

Overview

Generic chatbots don't hold up in production. We engineer enterprise RAG systems, model routing logic, and specialized agent workflows trained on your proprietary data. Every build includes evaluation benchmarks (evals), rate limiting, and prompt guardrails to guarantee sub-second latency and near-zero hallucination.

Key Business Outcomes
  • RAG architectures backed by your private databases & documents
  • Multi-model routing (Claude/Gemini/Llama) optimized for cost and speed
  • Automated evaluation suites to prevent accuracy drift
  • Strict data isolation and air-gapped deployment options
Core Scope

What We Deliver

01

Vector Search & Retrieval Pipeline

Chunking, embedding, and hybrid search optimization over your knowledge base.

02

Agentic Workflow Orchestration

Tool-using AI agents that read APIs, execute database queries, and perform structured tasks.

03

Human-in-the-Loop Exception Queues

Routing low-confidence AI predictions to human reviewers before final output.

Technology & Infrastructure
PythonTypeScriptOpenAI APIAnthropic SDKLangGraphFastAPIPostgreSQL/pgvectorRedis
Service Details

Frequently Asked Questions

How do you prevent AI hallucinations in production?

We enforce strict retrieval-augmented generation (RAG) with ground-truth citations, confidence scoring, and fallback routing to human reviewers when confidence is low.

Is our proprietary data kept private?

Yes. All engagements operate under NDA. We use zero-retention enterprise API endpoints or self-hosted open-source models.

LET'S BUILD
SOMETHING
REAL.

Book a free 30-minute strategy call. No pitch decks, no pressure — just an honest conversation about what's possible.