Anvil Labs
Anvil Labs is Digital Foundry's applied AI practice. We design and deploy AI systems that operate reliably inside real enterprise environments.
What We Build
AI Strategy and Use Case Definition
We define where AI should be applied and what it must achieve.
- Identify high-impact use cases tied to business outcomes
- Define KPI-aware success criteria (latency, cost, accuracy)
- Map data, systems, and constraints
- Prioritize a clear path from pilot to production
Outcome: A focused, executable AI roadmap grounded in real constraints.
AI-Enabled Software Development
We integrate AI into engineering workflows with clear standards and controls.
- AI-assisted coding, testing, and review
- Evaluation pipelines and regression testing for AI outputs
- Usage telemetry, latency tracking, and cost monitoring
- Drift detection and reproducibility controls
Outcome: Faster delivery with consistent quality and controlled risk.
Agents and Workflow Automation
We build AI agents and tools that operate inside real workflows.
- Task-specific agents and multi-agent orchestration
- MCP-based integration with tools, APIs, and enterprise systems
- KPI-aware execution based on latency, cost, and context
- Human-in-the-loop controls and performance tracking
Outcome: Reliable automation that improves throughput without losing control.
AI Architecture and Runtime Systems
We design the systems required to run AI in production.
- LLM gateways and RAG pipelines
- Workload-aware orchestration and model routing
- Token efficiency and cost optimization
- Observability across latency, usage, and system performance
- Continuous evaluation and drift monitoring
Outcome: A secure, scalable AI foundation built for real-world operation.
Start with a Working Session
Schedule a 30-minute session—see Anvil Labs in action, review real AI builds, and map how to move your vision forward.
Book an Expert Consultation