Built for Organizations That Can't Afford to Get AI Wrong

Our Mission

Telic Labs delivers secure, AWS-native AI infrastructure for organizations that operate in regulated environments or handle sensitive data. We believe enterprises should be able to harness the power of large language models without sacrificing data ownership, compliance posture, or architectural control.

We don't build consumer AI tools or generic ChatGPT wrappers. We build production-grade AI foundations — inside your AWS account, governed by your policies, owned entirely by you.

What We Build

Every Telic Labs engagement produces a repeatable, documented AI infrastructure layer that includes:

• Guardrailed Amazon Bedrock proxy with enforced grounding and citation requirements
• Private RAG knowledge base backed by ChromaDB and S3 document ingestion
• ECS Fargate containerized deployment with version-controlled Terraform
• FIPS-aligned IAM role architecture and least-privilege access patterns
• CloudWatch audit logging, cost tagging, and budget alerting
• CI/CD pipeline with Checkov policy enforcement and OIDC GitHub Actions integration

Why "Telic"

Telic means goal-directed — purposeful action oriented toward a defined outcome. That's how we approach every engagement. We don't deliver experiments or pilot frameworks. We deploy systems built to run in production from day one.

Our Approach

Every engagement begins with a brief architecture review to understand your data boundaries, compliance requirements, and existing AWS footprint. From there we work from a standardized deployment playbook refined across real production environments — not prototypes.

We operate on fixed-fee, scoped engagements with defined deliverables. No open-ended hourly billing. No scope creep. You know exactly what you're getting before we start.

Background

Telic Labs was founded by an enterprise infrastructure architect with deep experience in AWS, DevSecOps, and production AI systems. Prior work spans regulated research environments, government-adjacent organizations, and AWS-native SaaS teams — giving us firsthand understanding of the compliance and governance requirements our clients face every day.

• AWS architecture including ECS, Bedrock, S3, IAM, CloudWatch, and VPC design
• DevSecOps pipeline implementation with Checkov, OIDC, and policy-as-code
• RAG system design using ChromaDB, vector embeddings, and document ingestion pipelines
• Compliance-aware infrastructure for FIPS, CJIS-adjacent, and SOC 2-aligned environments
• Terraform Infrastructure as Code with modular, reusable architecture patterns