Forward-Deployed Engineering
Get AI and ML with context into production. Fast.
AI readiness starts with the right data, infrastructure, and expertise. Chalk’s forward-deployed engineers partner with your team to take critical AI workloads from architecture to production.
Your AI roadmap
shouldn't wait.
From serving context at the moment of decision to fine-tuning and securing agents, Chalk’s forward-deployed engineers bring the platform expertise and engineering capacity to help your team turn ambitious projects into production systems.
We continue to be impressed by the flexibility and scalability of the system, and by the willingness of the Chalk team to work with us to get even more value out of it.
Mike KuhlenML Solutions & Strategy
How we partner with your team
Choose the engagement that fits your workload and your needs.
On-demand expertise
Get technical guidance when you need it.
Chalk’s forward-deployed engineers work with your AI, data, and business teams to define the workload, evaluate the tradeoffs, and map the path to production. Get help with hard decisions as you build, like what it takes to meet your latency, reliability, and security requirements.
Managed sprints
Let Chalk take a workload to production.
Bring us a high-priority AI/ML workload and we’ll help take it from design through deployment. We can fine-tune, evaluate, and deploy models using your data and infrastructure. A turnkey path from idea to custom AI deployment.
Side-by-side capacity
Extend your team with Chalk engineers.
Chalk engineers work alongside your engineers in your repo and cloud. They pair on implementation, open pull requests, and help build and operate production AI systems. Your team gets additional engineering capacity.
Why Chalk's forward-deployed engineers
Chalk’s team brings specialized expertise to your toughest challenges, accelerating your path to production.
Platform experience
Chalk's FDEs are the engineers who built Chalk working directly with you.
Technical experience
From Putnam finalists, PhDs, former Jane Street quants, to Rust compiler contributors.
Production experience
They know how to connect live data to inference, design for latency requirements, and navigate the path to production.
AI workloads where real context matters.
Chalk's forward-deployed engineers work with teams putting AI/ML at the core of the product - when you’re ready to tackle the bottlenecks between your data and your models at inference.
Make your AI/ML roadmap real.
Bring your highest-priority use case to a working session with a Chalk engineer. You’ll leave with:
- A map of your current data and decision path
- Where stale or disconnected data is limiting decisions
- A scoped first workload with a clear plan to production
- What it takes to run that workload in your cloud
Book an Architecture Review
Together, we’ll chart the path from your current architecture to a production system that makes decisions with live context.