Full-lifecycle services

Every layer that makes AI work—and fail.

Aetherward assesses, secures, builds, and repairs the models, data, context, tools, agents, orchestration, infrastructure, and governance that form a real AI system.

Operating modelAssess
Secure
Build
Repair

The full picture

One accountable partner from initial design through production operation, incident response, and the next safer version.

Design

Strategy, threat modeling, architecture, authority, and governance.

Build

Models, RAG, MCP servers, tools, agents, and enterprise integrations.

Validate

Evaluation, red teaming, evidence, promotion gates, and independent review.

Operate

Observability, runtime controls, drift detection, and ongoing assurance.

Repair

Incident containment, forensics, remediation, recovery, and regression testing.

Service catalog

AI System Assessment & Red Teaming

Evidence-led assessment of models, copilots, RAG applications, agents, tools, and the infrastructure that gives them authority.

1–3 weeks · Contact for pricing

AI Threat Modeling, Detection & Runtime Security

Connected threat models, behavioral detections, and runtime controls for AI systems whose actions cannot be judged one event at a time.

2–4 weeks · Contact for pricing

Secure AI Architecture & Remediation

Ground-up architecture, redesign, and hands-on repair for AI systems that need clear authority, containment, and operational trust.

2–6 weeks · Contact for pricing

MCP, Tool & Agent Integration Engineering

Security-first design, development, review, and repair of MCP servers, agent tools, agent-to-agent connections, and workflow integrations.

Scope dependent · Contact for pricing

Data, RAG & Knowledge Pipeline Assurance

Security and quality assurance for the data, retrieval, memory, embeddings, and context that shape what an AI system knows and trusts.

2–4 weeks · Contact for pricing

Model Training, Evaluation & MLOps Assurance

Independent review and design of the pipelines that create, adapt, evaluate, promote, deploy, and monitor models.

3–6 weeks · Contact for pricing

AI Incident Response & System Repair

Rapid containment, evidence preservation, root-cause analysis, and durable repair after an AI system fails, leaks, drifts, or acts outside policy.

Urgency and scope dependent · Contact for pricing

Secure Enterprise Intelligence Systems

Modular, governed AI infrastructure that gives each department useful intelligence without handing one monolithic system unrestricted control of the company.

Discovery from 3–6 weeks; implementation phased · Contact for pricing

What counts as the system

Models

Foundation, open-weight, fine-tuned, distilled, routed, and domain-specific models.

Intelligence

Training data, RAG, embeddings, context assembly, memory, and knowledge authority.

Action

MCP servers, tools, APIs, agents, multi-agent protocols, and workflow orchestration.

Control

Identity, permissions, policy, evaluation, observability, approvals, and incident authority.

Operations

Infrastructure, deployment, model registry, monitoring, rollback, governance, and people.

Not sure which service name matches the problem?

Describe the system. We’ll map the work. ↗