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BrightAI Tech Stack

Physical AI platform for real-time sensor intelligence in critical infrastructure

Software Development Palo Alto, California 51–200 employees Founded 2019 Privately Held
bright.ai LinkedIn

BrightAI builds sensor-to-insight pipelines for water, power, gas, and manufacturing operators. The stack reveals deep ML engineering focus: PyTorch, TensorFlow, YOLO, and LLM frameworks (LangChain, LlamaIndex, FAISS, Weaviate, Pinecone) paired with embedded systems expertise (ARM, Embedded Linux, Yocto, Cadence). An engineering-dominant hiring mix (10 of 13 roles) weighted toward staff and senior levels indicates they're scaling inference and retrieval systems—projects confirm active work on real-time visual intelligence, RAG systems, and high-volume event processing at scale.

Tech Stack 111 technologies

Core StackPyTorch TensorFlow Python C++ AWS LangChain Weaviate Pinecone Docker Go AWS Lambda YOLO TensorRT ONNX TensorFlow Lite GCP Azure LLAMA Mistral GPT Falcon LlamaIndex FAISS Embedded Linux C/C++ Ubuntu Yocto Altium Cadence ARM+81 more

What BrightAI Is Building

◆Challenges

  • Transforming enterprise technology processes
  • Real-time inference optimization
  • Data privacy compliance
  • Latency-sensitive llm applications
  • Scalable llm applications
  • Scaling high-volume event processing
  • High availability deployment across many regions
  • Reducing freight costs
  • Improving supplier performance
  • Minimizing supply chain risk

▲Active Projects

  • Real-time visual intelligence
  • Next-generation ai systems at scale
  • Retrieval-augmented generation (rag) systems
  • Ai-powered assistants for industrial troubleshooting
  • Document ingestion and semantic search pipelines
  • Overall development life cycle of the solution
  • Stateful platform development
  • Cloud api, mobile, and web initiatives
  • Ml/ai development platform on aws
  • Automated data pipelines

Hiring Activity

Accelerating15 roles · 7 in 30d

Department

Engineering
10
Design
1
Operations
1
Product
1

Seniority

Staff
8
Senior
3
Intern
1
Manager
1
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About BrightAI

BrightAI develops a platform called Stateful that transforms physical sensor data into actionable intelligence for operators of critical infrastructure. The platform ingests real-time data from distributed sensors, applies computer vision and LLM-driven analysis, and surfaces diagnostics and recommendations through AI-enabled workflows. Their target verticals—water, power, gas compression, HVAC, manufacturing, and pest control—are all characterized by high stakes for downtime and regulatory compliance. Founded in 2019 and based in Palo Alto, the company operates at 51–200 employees with primary hiring concentration in the United States.

HeadquartersPalo Alto, California
Company Size51–200 employees
Founded2019
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does BrightAI use?

PyTorch, TensorFlow, YOLO for vision; LLM frameworks including LangChain, LlamaIndex, and vector DBs (FAISS, Weaviate, Pinecone); AWS, GCP, Azure for cloud; embedded systems tools (Yocto, ARM, Embedded Linux); and Docker for orchestration.

What is BrightAI working on?

Real-time visual intelligence for sensors, RAG-based systems for document search and diagnostics, AI-powered troubleshooting assistants for industrial operations, and scalable LLM deployments on AWS with high-availability multi-region architecture.

How this profile is built

BrightAI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.