AI-01 Build stage · Launch priority: Flagship

Simor AI Engineering

Design and harden production AI systems.

The flagship practice — where consulting IP becomes production architecture.

7+ yrs

Consulting practice heritage

Billions

Production tool calls routed

100%

Deployments behind guardrails

01 Capabilities

What this division does

Agent orchestration

Multi-step agent workflows with tool calling, state management, and failure recovery. We design orchestration layers that are observable, debuggable, and production-safe.

Gateway architecture

LLM routing proxies with provider failover, cost controls, rate limiting, and audit logging. Battle-tested across millions of calls.

Guardrails & safety

Input/output filters, content classification, prompt injection defence, and policy enforcement built into the inference path — not bolted on after.

Evaluation engineering

Automated regression suites that test agent behaviour across edge cases. Continuous evaluation integrated into CI/CD so quality regressions are caught before deployment.

02 Approach

How this division works

Start from the business decision the system needs to support, not the model. Architecture follows the decision boundary.

Every component — gateway, guardrail, eval — is built to be independently testable and replaceable. No black boxes in production.

We deploy behind feature flags with canary traffic and automated rollback. Production AI that cannot be safely rolled back is not production AI.

03 Use cases

Where this division delivers

Regulated document processing

Agent pipeline extracting structured data from legal and financial documents with full audit trails, guardrails against extraction errors, and human-in-the-loop escalation for low-confidence cases.

Customer-facing assistant

Multi-turn conversational system with provider failover, cost-capped routing, content safety filters, and continuous evaluation against a regression suite of 2,000+ test conversations.