Black Spirit – AI, Data Fusion & Intelligence Professional Services
Black Spirit · Customer Service
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Black Spirit provides professional services to support organizations in the design, deployment, and operation of advanced intelligence, data fusion, and AI workloads on AWS.
Our services help customers adopt and manage AWS Cloud environments for mission-critical use cases, including secure data ingestion, analytics, AI/ML enablement, and operational intelligence. We work closely with client teams to architect scalable, compliant, and resilient cloud solutions aligned with AWS best practices.
Show the rest of the publisher’s description (38 more lines)
Black Spirit’s professional services are delivered using AWS native technologies such as Amazon S3, Amazon EC2, AWS Lambda, Amazon SageMaker, Amazon OpenSearch, AWS IAM, and AWS Key Management Service (KMS), ensuring security, performance, and governance across the full solution lifecycle.
These services are designed for organizations seeking structured support in implementing intelligence-driven solutions on AWS, while maintaining full ownership of their cloud environment and data.
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Service Scope
Black Spirit Professional Services may include:
- AWS cloud architecture design for intelligence and analytics workloads
- Secure data lake and data ingestion pipeline design on Amazon S3
- Data fusion and analytics frameworks on AWS
- AI and machine learning enablement using Amazon SageMaker
- Identity, access control, and encryption design (IAM, KMS)
- Integration with existing enterprise systems hosted on AWS
- Operational readiness and knowledge transfer
- Documentation and architectural best practices
The final scope of work is defined collaboratively with the customer prior to engagement.
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Customer Outcomes
Customers engaging Black Spirit Professional Services can expect:
- Improved adoption of AWS Cloud for intelligence and analytics use cases
- Secure and scalable data architectures aligned with AWS best practices
- Accelerated deployment of AI and analytics workloads on AWS
- Enhanced governance, access control, and operational visibility
- Increased readiness for enterprise and mission-critical environments
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Delivery Method
- Remote delivery
- Project-based or milestone-based engagement
- Fixed-scope or custom Statement of Work (SOW)
- Optional AWS Marketplace Private Offer
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Supported AWS Services
- Amazon S3
- Amazon EC2
- AWS Lambda
- Amazon SageMaker
- Amazon OpenSearch Service
- AWS Identity and Access Management (IAM)
- AWS Key Management Service (KMS)
- Amazon VPC
Highlights
Highlighted by the publisher on AWS Marketplace.
AWS cloud architecture design for intelligence and analytics workloads
Secure data lake and data ingestion pipeline design on Amazon S3
Data fusion and analytics frameworks on AWS
Agent build and provenance
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