AuxoAI Tech Stack

AI systems design and deployment for enterprise data modernization

Software Development San Francisco Bay Area, CA 51–200 employees Founded 2022 Privately Held

AuxoAI designs and deploys agentic AI systems for large enterprises, with a tech stack anchored in Python, PyTorch, and modern data infrastructure (Snowflake, Databricks, Dremio, Kafka). The project list—AI copilots, LLM-based pipelines, semantic layers, real-time inference—reveals a company focused on operationalizing AI at scale rather than pure research. Pain points around query performance, data governance compliance, and production ML rigor suggest they're solving the gap between cutting-edge models and enterprise governance, not just building proof-of-concepts.

Tech Stack 77 technologies

Core StackPython PyTorch TensorFlow Docker Kubernetes Apache Spark Weaviate RAG Snowflake Databricks Redshift dbt PySpark AWS BigQuery Kafka Iceberg JAX pgvector LoRA QLoRA transformers Dremio Erwin ER/Studio PowerDesigner SQL Azure JDBC Parquet+45 more

What AuxoAI Is Building

◆Challenges

Large-scale data modernization
Query performance optimization
Data governance compliance
Ensuring consistency across cloud data platforms
Ai readiness for enterprises
Data modernization programs
Data ingestion strategy
Scaling production-grade ml systems
Balancing cutting-edge research with production rigor
Scaling outbound sdr programs

▲Active Projects

Ai copilots
Data governance initiatives
Semantic layer design
Agentic workflows
Llm-based pipelines
Dremio lakehouse architecture implementation
Dremio reflections optimization
Data source integration via apis and object storage
Enterprise data modeling
Real-time inference systems

Hiring Activity

Minimal20 roles · 2 in 30d

Department

Data

Marketing

Sales

Seniority

Senior

Mid

Manager

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About AuxoAI

AuxoAI partners with Fortune 500-scale enterprises across healthcare, CPG, and high-tech to architect and deploy AI-first systems. The company works across the full AI maturity spectrum: from establishing data foundations to deploying functional agentic products. Their service model combines strategy consulting (AI roadmapping, process redesign) with hands-on engineering (data pipelines, governance frameworks, real-time inference systems). Most hiring is concentrated in data roles at senior levels, reflecting a delivery organization built around data architecture and ML engineering.

HeadquartersSan Francisco Bay Area, CA

Company Size51–200 employees

Founded2022

Hiring MarketsIndia

Frequently Asked Questions

What technology stack does AuxoAI use?

Core stack: Python, PyTorch, TensorFlow, and JAX for ML. Data layer: Snowflake, Databricks, Dremio, BigQuery, and Redshift. Infrastructure: AWS, Azure, Kubernetes, Docker. Specialized tools: Weaviate, pgvector, LoRA/QLoRA for retrieval-augmented generation and model optimization.

What is AuxoAI working on?

AI copilots, agentic workflows, LLM-based data pipelines, real-time inference systems, semantic layer design, data governance platforms, and Dremio lakehouse architecture. Projects span enterprise data modeling, API-based data integration, and optimization of analytics performance.