AWS Premier Tier Services Partner with six AWS Competencies · 200+ cloud launches delivered · From roadmap to a funded proof of concept in your AWS environment
As an AWS Premier Tier Services Partner with six AWS Competencies, we combine AI strategy consulting with hands-on engineering. You get a plan grounded in business value, plus the AWS expertise needed to build and scale it.
We can help when:
The same team can prioritize your use cases, define the architecture, build the proof of concept, and support production deployment.
Test one focused use case against agreed KPIs before committing to broader implementation.
We design solutions around your data, security, scalability, and compliance requirements.
Work with a team backed by 200+ AWS certifications, six AWS Competencies, and more than 200 cloud launches.
Eligible companies may qualify for AWS funding that covers some or all of an approved proof of concept.
We align business and technical stakeholders around the problems worth solving, evaluating use cases by business value, feasibility, data readiness, security, cost, and expected AWS consumption.
We select the strongest use case and turn it into an actionable AI roadmap that defines success metrics, data requirements, architecture, governance, delivery phases, and estimated operating costs.
We build a focused solution inside your AWS environment. The proof of concept tests technical feasibility and business value against agreed KPIs before you invest in a production rollout.
We move the validated solution into a secure, governed production environment, and can support integrations, MLOps, monitoring, cost optimization, and ongoing managed AWS services.
A prioritized portfolio of AI use cases mapped to business value.
An AI roadmap covering delivery phases, ownership, dependencies, and investment.
Data-readiness and technical-feasibility findings.
Security, governance, and compliance requirements.
A proposed AWS architecture and model approach, with measurable KPIs for the selected use case.
A working proof of concept, production cost and scaling considerations, and knowledge transfer to your team.
Ready to build once the roadmap is set? Continue with:
The highest AWS partner tier, held since December 2024.
Generative AI, Migration and Modernization, Managed Service Provider, DevOps, Small and Medium Business, and Healthcare.
Backed by 200+ AWS certifications across the team.
Through our partnership with AWS, eligible companies may receive partial or full funding for an approved proof of concept, depending on projected AWS consumption and project scope. Eligibility is assessed during the discovery call.
We do not hand you a slide deck; we build and deploy the recommended solution in your AWS environment.
Our AI consulting services cover use-case prioritization, technical feasibility, data readiness, AWS architecture, security, governance, proof-of-concept development, and production planning. Unlike strategy-only engagements, we can also build and deploy the recommended solution inside your AWS environment.
Pricing depends on the complexity of the use case, data, integrations, security requirements, and delivery stage. Engagements may begin with a strategy workshop or proof of concept before moving into production. Eligible companies may qualify for partial or full AWS funding for an approved proof of concept.
An AI roadmap turns business priorities into an actionable implementation plan. It identifies the use cases to pursue, the data and architecture they require, how success will be measured, and which security, governance, cost, and delivery considerations must be addressed before production.
Yes. We evaluate potential use cases based on expected business value, technical feasibility, data availability, security requirements, implementation effort, and operating cost. The goal is to select a focused use case that can be tested against clear KPIs.
Yes. We can assess prototypes that are too slow, costly, insecure, or difficult to scale, then redesign the architecture, migrate AI workloads to AWS, improve model performance, and prepare the solution for production use.
We provide both AI strategy consulting and hands-on AWS implementation. The engagement can continue from planning through proof-of-concept development, production deployment, optimization, and managed services.
We design solutions around encryption, least-privilege access, audit logging, and your organization's security and compliance requirements. Where appropriate, the solution can be deployed inside your AWS environment so you maintain control of the infrastructure and data.
Yes. We can evaluate models available through Amazon Bedrock as well as custom model requirements supported through Amazon SageMaker. Recommendations are based on accuracy, latency, security, cost, and the needs of the selected use case.
