Services

Three disciplines.
One coherent practice.

Production AI fails at the seams between modeling, infrastructure, and security. We work across all three so nothing falls through.

01

AI/ML Engineering

Production-grade language model systems, from architecture review through deployment, evaluation, and continuous improvement.

Specializations
RAG and retrieval systems LLM evaluation, guardrails, and red-teaming Amazon Bedrock cost and latency optimization MLOps and LLMOps on Bedrock and SageMaker
Representative Deliverables
  • RAG pipeline design and implementation (Bedrock, OpenSearch, pgvector)
  • Model selection, fine-tuning, and distillation strategy
  • Automated evaluation harnesses and regression testing
  • Cost and latency optimization for high-volume inference
02

Cloud Architecture

Reference architectures, IaC modules, and platform engineering for AI and data-intensive workloads. AWS is our primary platform, with Azure and Google Cloud delivery where it fits.

Specializations
AWS landing zones and multi-account governance AWS to Azure and AWS to GCP AI workload migration Azure landing zones and Entra ID identity GCP data platform delivery on BigQuery and Vertex AI
Representative Deliverables
  • Multi-account landing zones with Control Tower and Organizations
  • EKS, ECS, and serverless patterns for inference at scale
  • VPC, networking, and data residency design
  • Terraform / CDK modules with documentation and runbooks
  • Azure and Google Cloud delivery for multi-cloud and migration needs
03

Security & Compliance

Audit-ready posture for AI systems handling sensitive data. We work alongside your security team, not around it.

Specializations
AI and LLM threat modeling for prompt injection and data exfiltration SOC 2 readiness for LLM applications HIPAA-readiness architecture for healthcare AI Cloud security posture management and IAM hardening
Representative Deliverables
  • IAM and least-privilege design for human and machine identities
  • Encryption strategy: KMS, envelope encryption, model weight protection
  • SOC 2, HIPAA, and ISO 27001 readiness assessments
  • Threat modeling for LLM-specific risks (prompt injection, data leakage)

Engagement Models

We structure work around the shape of the problem, not a fixed playbook.

2 Weeks

Architecture Sprint

Focused review and reference architecture for a defined system or migration.

4–12 Weeks

Embedded Build

Principal engineers work alongside your team to design, build, and harden production systems.

Quarterly Retainer

Standing Advisory

Ongoing architecture review, security posture monitoring, and on-call principal access.

Ready to architect with clarity?

Book a 45-minute technical review with a principal consultant. No sales engineers.

Schedule a Briefing