What We Do

Yaa AI partners with organizations running systems people rely on: regulated platforms, data-heavy applications, and legacy systems that must keep working while they evolve. We are a small, senior team that applies AI-assisted development responsibly.

Application Modernization

Current-state diagnostic assessment across codebase, data, CI/CD, security, and performance.
Framework upgrades, targeted refactors, and re-platforming for production systems.
Full rewrites only when the evidence supports them.
Staged, low-risk modernization over speculative redesigns.

Cloud-Native Engineering

Azure as primary depth, with AWS and GCP when appropriate.
Managed services, containers, and serverless used where each is the right fit.
Infrastructure as code with Bicep and Terraform for non-ephemeral resources.

Data Migration at Scale

Source-system data quality assessment and migration risk profiling.
Schema evolution and model modernization.
Parallel-run validation before cutover.
Record-level reconciliation, rollback planning, and archival strategy.

CI/CD and DevOps

Pipeline design with security scanning, quality gates, and controlled promotion.
Blue-green and canary patterns for safe releases.
Observability and traceability from day one.
Experience across medical AI, auditable financial systems, and consumer hardware.

Regulated and Compliance-Critical Systems

Security framework implementation using CIS Controls v8, NIST CSF 2.0, and NIST 800-53 mapping.
Audit trail architecture, tamper-evident logging, and evidence retention.
Incident response and forensic-ready system design.

Managed Operations and Hosting

SLA-backed availability and response.
Tiered support for systems with recurring peak windows.
Routine maintenance, patching, and security operations.
Quarterly reviews and transparent hosting-cost structures.

Responsible AI-Assisted Development

AI-assisted coding integrated with secrets scanning, provenance checks, static analysis, and human review on every merge.
Sensitive client data is never shared with third-party AI tools.
Security and speed are treated as design requirements, not trade-offs.

Who We Work With

Agencies and quasi-public entities modernizing legacy regulatory systems.
Financial and insurance firms with audit-heavy software requirements.
Medical technology and healthtech companies.
Technology firms needing experienced support for CI/CD, cloud, and data migration.