Your AI-Powered Data Engineer
BigHammer's AI Data Engineering Agent autonomously builds pipelines, resolves data issues, enforces governance, and keeps your platform running—end to end. No code, no cloud lock-in, no legacy bottlenecks.
The Autonomous Layer Across Your Data Stack
Our AI Data Engineer designs, deploys, governs, and operates your data systems—without manual coordination.
| Capability | Description |
|---|---|
| Build Data Products Faster | Accelerate delivery without adding headcount or burning out your engineers |
| Data Governance for AI | Onboard data, catalog, and generate metadata automatically so your data stays discoverable and trusted |
| Pipelines Without the Pain | Build, deploy, observe, and optimize data pipelines—no coding required |
| Modernize Legacy Systems | Migrate old code and data into a modern, cloud-ready stack with ease |
| Cut Costs, Boost Performance | Agents constantly monitor and tune your data platforms for efficiency |
| Deeper Insights | Easy access to all data enabling business users to analyze and build BI reports without code |
AI Agents That Deliver Measurable Impact
From pipelines to governance, every BigHammer Agent plays a role in reducing complexity and accelerating insights:
- 70% reduction in labor costs
- 70% faster delivery of data & analytics products
- 30% TCO reduction (labor, software, infrastructure)
- 90% reduction in false positives for anomaly alerts
Agent Capabilities
| Agent | Purpose |
|---|---|
| AI-Native Data Governance | Unified metadata catalog, profiling, privacy, and compliance |
| NLP-Based Data Pipelines | Build and deploy pipelines using natural language (text or voice) |
| Automated Data Operations | 24/7 monitoring, anomaly detection, cost optimization |
| Explore Data Using NLP | Conversational analytics, report generation, self-service exploration |
Key Differentiators
- Zero-code — Power your business users without writing code
- Enterprise-grade — Security and compliance built in
- Cloud flexibility — AWS, GCP, Azure, or on-premises
- End-to-end observability — Across your entire data stack
Next Steps
- Data Governance Agent — Catalog, profiling, compliance
- NLP Pipelines Agent — Build pipelines with natural language
- Automated DataOps Agent — Monitoring and optimization
- Explore Data Agent — Conversational analytics and reports
- Use Cases — Legacy migration, cost optimization, and more
- Deployment Options — Cloud-hosted or private cloud