Circuitry.ai Tech Stack

AI decision intelligence platform for autonomous service operations

Software Development Tampa, FL 11–50 employees Founded 2023 Privately Held

Circuitry.ai builds a Service Decision Intelligence platform targeting manufacturers' service lifecycles, powered by Python, scikit-learn, and OpenAI with a RAG-based architecture. The stack reveals a focus on retrieval-augmented generation and knowledge-graph integration (Neo4j, hybrid vector pipelines) — critical for grounding AI decisions in domain-specific data. Early-stage hiring is concentrated in engineering and sales (4 roles in the last 30 days), suggesting product-market fit validation paired with enterprise GTM motion.

Tech Stack 16 technologies

Core StackGoogle Analytics Salesforce HubSpot Neo4j Python pandas scikit-learn Docker OpenAI Hugging Face RAG AWS LinkedIn Twitter Git Azure

What Circuitry.ai Is Building

◆Challenges

Enhancing knowledge base accuracy
Meeting evolving customer needs
Expanding enterprise market
Trust in ai
Expanding into new markets
Closing new business opportunities

▲Active Projects

Knowledge base enhancement
Rag model development
Ai model deployment
Production-grade ml and genai systems
Rag architectures
Hybrid graph + vector retrieval pipelines
Penetrating new markets
Product implementations

Hiring Activity

Accelerating7 roles · 4 in 30d

Department

Engineering

Sales

Marketing

Seniority

Senior

Manager

Mid

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About Circuitry.ai

Circuitry.ai delivers an AI-powered platform designed to optimize service, parts, and warranty decisions across the manufacturing service lifecycle. The product layer includes AI Advisors (guiding resolution), AI Agents (executing system actions), and AI Analysts (measuring outcomes). Founded in 2023 and based in Tampa, FL, the company operates with 11–50 employees and is expanding hiring across India and the United States. Core technical challenges center on knowledge-base accuracy and RAG model reliability — both critical to building enterprise trust in autonomous service operations.

HeadquartersTampa, FL

Company Size11–50 employees

Founded2023

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Circuitry.ai use?

Python, scikit-learn, OpenAI, Neo4j, RAG, pandas, Docker on AWS and Azure. Architecture emphasizes hybrid graph and vector retrieval pipelines for knowledge-grounded decision intelligence.

What is Circuitry.ai working on?

RAG model development, hybrid graph-vector retrieval pipelines, knowledge-base enhancement, production-grade ML/GenAI systems, and new market penetration with enterprise product implementations.