Skip to content

Become a Supplier

We want to work with the best cloud-native AI builders

S.AI.L aspires to connect with developers and technology providers who specialise in cloud-native AI and MLOps. If you build the infrastructure, tooling, or platforms that enterprise AI runs on — we want to hear from you

Who we are looking for

Our clients are MNCs and mid-sized enterprises deploying AI at scale across regulated industries. We are looking for specialist technology providers who can support our Principal Consultants in delivering production-grade, governance-first AI systems within enterprise cloud environments

Cloud-native AI infrastructure

Providers who build cloud-native infrastructure for AI/ML workloads on AWS, Azure, or GCP — including managed inference, vector databases, and orchestration layers

MLOps and model governance

Platforms for model versioning, monitoring, drift detection, and explainability that meet enterprise compliance requirements including ISO 42001 and industry-specific standards

Agentic AI tooling

Frameworks and platforms for building, deploying, and governing agentic AI workflows in enterprise environments — with human-in-the-loop and audit trail capabilities

Specialised AI developers

Independent developers and boutique studios with deep expertise in cloud-native AI/ML engineering who want to deliver alongside S.AI.L's Principal Consultants on enterprise engagements

What we value in suppliers

Cloud-native architecture — solutions that run on our clients' cloud tenant, not yours
Enterprise-grade security and compliance documentation
Explainable AI outputs that can be presented to non-technical stakeholders
Audit trail and human-in-the-loop capabilities built in by design
Demonstrated experience in regulated industries
Flexible commercial models that work for mid-sized enterprise engagements

Get in touch

If you specialise in cloud-native AI and MLOps and want to explore how we can work together, reach out to our team directly

humans@execxai.com

Please include a brief description of your specialisation and any relevant case studies or technical documentation