iSimplifyMe Verified Company

iSimplifyMe is an AI Infrastructure & Orchestration firm. We architect, deploy, and operate production AI inside our clients' own cloud perimeter, for organizations that cannot ship probabilistic output into surfaces that must be exact.

Founded 2011 in Chicago, with a parallel operation in Melbourne, Australia.

The problem we solve is not that models give wrong answers. It is that a wrong answer nobody catches becomes a liability. So every AI surface we build is classified as deterministic-required or bounded-probabilistic, and gets the matching validator gate: schema validators at the API boundary, precommitted pattern gates, structural rule evaluators, threshold scorers, and critics grounded against an immutable source, never a second model. Agents detect, humans approve, remediation follows.

Four practice pillars:

• AI infrastructure on private AWS — Bedrock and SageMaker deployments inside a dedicated account per regulated client, permissioned retrieval, and multi-agent orchestration.

• Computer vision for clinical screening — YOLOv8 and SAM ViT-H trained in-house on 205,000+ ethically sourced medical images across 18 public datasets, serving sub-second inference for pathology and oral cancer detection.

• Sentinel — our production AI ops layer, running investigate-only agents that triage uptime alerts and failing CI against our own infrastructure. The same pattern we hand clients who want their own agent fleet.

• Machine-readable data environments — entity graphs, atomic content architecture, schema, and retrieval manifests that determine whether a brand is cited rather than merely ranked by ChatGPT, Gemini, Perplexity, and Google's AI overviews.

Engineering posture: AWS Bedrock-native with no third-party LLM API dependencies, zero retention at the model layer, custom models trained exclusively on public datasets, HIPAA-ready with a per-account BAA, seven-year audit-log retention, and every agent investigate-only. SOC 2 Type 1 is in evaluation.

We publish our methods instead of describing them. The AEO Standard, our 100-point answer-engine rubric, is open under CC BY 4.0; its reference scanner is MIT-licensed on GitHub and npm; and nine technical whitepapers document the architectures we deploy, each already running in production.

The people who scope your engagement write your code and stay until it is sustainable in your hands. Engagements begin at $50,000.