Voltron Data | Company Profile
1/16/2026
Contact Information
Industry & Market
Primary Industry
information technology & services
Location
Mountain View, California, United States
Company Metrics
👥Total Employees
29
⚙️Engineering
18
💼Sales Team
N/A
📈Marketing
1
📅Founded
2021
💰Revenue
2M
Funding Information
Total Funding
$110.0M
Latest Stage
Venture (round not specified)
Annual Revenue
$2,000,000
Headcount Distribution
Total Employees
29
Departments
19
By Department
Department Breakdown
Engineering
Education
Arts And Design
Data Science
Entrepreneurship
Finance
Others
Technology Stack
Email & Communication
Gmail
Total: 13 technologies
Keywords & Focus Areas
software developmentdata analyticsopen source data standards adoptionopen source data stacksnowflake integrationopen source data connectivityveloxgpu-accelerated data processingrisk assessmentdata processing cost reductiondata processing efficiencyopen source softwarepetabyte data processinggpu-optimized data pipelinesgpu utilizationdata processing on gpusopen source data collaborationdata analytics in financehigh-performance data processingopen source data frameworks+10 more
30 total keywords
Voltron Data
Overview
Voltron Data is a venture-backed startup founded in 2021 and based in Mountain View, California. The company specializes in GPU-accelerated enterprise data systems and open-source data analytics solutions. With a mission to reduce the marginal cost of analytics, it focuses on building composable data systems using open standards and has raised $110 million in funding.
The company's primary offering is Theseus, a GPU-accelerated SQL engine designed for AI workloads. Theseus enables orchestration of end-to-end retrieval-augmented generation (RAG) pipelines and features GPU-powered user-defined functions for embedding, vector search, and RAG operations. The platform supports complex analytics workloads and petabyte-scale ETL tasks, emphasizing cost efficiency and performance through GPU acceleration. Voltron Data collaborates with industry leaders such as G-Research and Snowflake, and partners with organizations like Accenture and Carahsoft to enhance analytics capabilities.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2021 |
| Revenue | 2M |
| Headquarters | 650 Castro Street, Mountain View, California 94041, United States |
Contact Details
- Website: voltrondata.com
- LinkedIn: linkedin.com/company/voltrondata
Key Focus Areas & Initiatives
- Software development
- Data analytics
- Open source data standards adoption
- Open source data stack
- Snowflake integration
- Open source data connectivity
- Velox
- GPU-accelerated data processing
- Risk assessment
- Data processing cost reduction
- Data processing efficiency
- Open source software
- Petabyte data processing
- GPU-optimized data pipelines
- GPU utilization
- Data processing on GPUs
- Open source data collaboration
- Data analytics in finance
- High-performance data processing
- Open source data frameworks
- Services
- Open source data tools
- Predictive maintenance
- Petabyte-scale analytics
- Data analytics optimization
- Predictive analytics
- Ibis
- Open standards in data engineering
- Fraud detection
- Apache Arrow
- GPU-native query engine
- Information technology and services
- GPU-native data engines
- Open standards for data
- Data platform integration
- Open source data standards
- Open source ecosystem
- Open source standards support
- ADBC
- GPU-based query engine
- Open standards for AI
- Open source data ecosystem support
- Substrait
- Machine learning
- Open source data standards support
- Data transformation
- Data interoperability
- GPU-native data engine
- Data system flexibility
- Data pipeline scalability
- Open source community
- Theseus SQL engine
- Data system modularity
- Data silos elimination
- B2B
- Open standards
- Open source data ecosystem
- GPU-accelerated ETL
- Data workload management
- DuckDB support
- Cost efficiency in data analytics
- Data pipeline optimization
- Data system composability
- Open source data interoperability
- Government
- Energy efficiency
- Open source ecosystem support
- Data pipeline acceleration
- Modular data systems
- Cost-effective data analytics
- GPU acceleration
- Data management in cloud
- Kubernetes deployment
- Open source collaboration
- Data infrastructure modernization
- GPU query engine
- Cloud computing
- Data analytics in cybersecurity
- Composable data systems
- Computer systems design and related services
- Data system extensibility
- GPU-accelerated analytics
- Data processing engine
- Big data ETL
- SQL engine
- Real-time analytics
- Data silos
- Data pipelines
- Cost efficiency
- Data preprocessing
- AI workloads
- Financial services analytics
- Cybersecurity solutions
- Ibis integration
- Composable systems
- No indexing required
- Cloud deployment
- On-premise deployment
- Kubernetes support
- Raw data analysis
- High-performance queries
- Scalable architecture
- Benchmarking reports
- Performance management
- Transaction log analysis
- Credit scoring
- Liquidity management
- AML compliance
- Data visualization
- Benchmark methodology
- Concurrent queries
- Petabyte scale
- Data workloads
- Query optimization
- Cost reduction
- Server count reduction
- Real-time data insights
- Finance
- Information technology & services
- Enterprise software
- Enterprises
- Computer software
- Computer & network security
- Artificial intelligence
- Environmental services
- Renewables & environment
- Financial services
Technologies Used
- AI
- Amazon AWS
- Amazon SES
- Constant Contact
- Gmail
- Google Apps
- MailChimp SPF
- Microsoft Office 365
- Remote
- Route 53
- Salesforce
- Sendgrid
- WP Engine
Community
