Digital Foundry's Anvil Labs
Anvil Labs is Digital Foundry's applied R&D practice. We take your most pressing challenges and the most promising emerging technologies, and we spike — developing a sharp point of view and the real implementation expertise to move your innovation initiatives forward.
What We Explore
AI and intelligent systems are our lead focus today. Across these four areas, we spike on your hardest problems with the most advanced methods available — and come back with a point of view you can act on and the implementation expertise to pursue it.
Opportunity and Use-Case Discovery
We explore where emerging technology — AI first — can move the needle for your business, and pressure-test it against real constraints before you commit.
- Identify high-impact use cases tied to business priorities
- Define KPI-aware success criteria (latency, cost, accuracy)
- Map data, systems, and constraints
- Prioritize where a spike is worth running
What you get: A sharp point of view on where to invest, grounded in real constraints — not a generic roadmap.
AI-Enabled Software Development
We prototype with AI inside real engineering workflows to learn what actually holds up — speed, quality, and the controls that make it trustworthy.
- 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
What you get: Hands-on implementation expertise and working examples your teams can build on.
Agents and Workflow Automation
We spike on agents and automation against your real workflows to find where they create leverage — and where a human needs to stay in the loop.
- 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
What you get: A grounded point of view on where agents fit, with prototypes that show what's possible and what to watch.
AI Architecture and Runtime Systems
We explore the architecture emerging technology needs to run in production, and prove out the patterns before they become foundations.
- 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
What you get: Proven architecture patterns and the implementation expertise to run them well.
Bring Us a Challenge Worth Spiking On
Schedule a 30-minute session—bring your most pressing challenge or emerging-technology question, and we'll map how an Anvil Labs spike could move it forward.
Book an Expert Consultation