Forward Deployed Engineering
Scale partners with leading governments and enterprises worldwide to turn policy ambition into AI reality.

Developing reliable AI systems for the world's most important decisions — built on four core pillars: Infrastructure, Data, Orchestration, and Experience.

Scale powers national AI transformation with Government-grade data and rigorous model evaluation for tailored AI solutions on proven infrastructure
Scale partners with leading governments and enterprises worldwide to turn policy ambition into AI reality.

Scale brings together data infrastructure, model evaluation, and systems engineering to accelerate the full AI lifecycle — from strategy and data readiness to deployment and long-term operations
End-to-End AI Data Engineering
Use case implementation
Upskilling & Enablement
Built on secure infrastructure compliant with national security requirements and data mandates
Experience supporting mission-critical AI for governments and public institutions
On-the-ground, multilingual teams, including Arabic-speaking talent to ensure sustained capability transfer and long-term ownership
Accelerate capability building and iteration through embedded collaboration, upskilling, and enablement support
Expert oversight combined with automation to deliver secure, accurate, and scalable AI outputs
From strategy and data foundations to deployment, enablement, and ongoing operations
Don’t just take our word for it
Legislative drafting
Reduced drafting & benchmarking time
Students
Enrolled on AI learning platform
Regulatory tech
Faster public safety and licensing
Category
Solutions
Legislative & Justice
Education
Center of Government
Government Services
Healthcare
Industry & Commerce
Infrastructure & Permitting
Culture, Sport & Tourism
Transport & Logistics
Oil & Gas
Use cases

Permit approvals that once took weeks now complete in a fraction of the time — with 80% accuracy on compliance checks, 32 automated regulatory validations, and full deployment in 6 weeks.
Challenge
Manual extraction from architectural drawings, frequent regulatory changes, and fragmented review workflows slowed permit decisions and increased reviewer workload.
Key Outcomes
