Applied AI engineering

Systems built for production.

Alpinist Studios is a global team that designs and deploys AI systems for enterprises and public institutions — where reliability, security, and measurable outcomes matter.

Organizations we work with

Case studies

Operational impact, at scale.

Enterprise and government deployments — outcomes, architecture, and production discipline.

Capabilities

What we build

Production systems we design, integrate, and operate — not slide decks or isolated pilots.

AI Agents & Orchestration

Multi-agent systems with tool use, routing, and human-in-the-loop controls. Built for production—not demos.

Enterprise Automation

Intelligent automation across ERP, CRM, and internal ops. Measurable impact on throughput and error rates.

Knowledge & RAG Systems

Retrieval architectures with evaluation pipelines, access control, and citation-grounded outputs.

Internal AI Platforms

Control planes for teams to deploy, observe, and govern AI capabilities across the organization.

Decision Intelligence

Model-assisted scoring and analyst workflows with lineage, overrides, and audit trails.

ML Infrastructure & Ops

Training, serving, monitoring, and drift detection on containerized, enterprise-grade infrastructure.

Workflow Automation

End-to-end workflow design integrating APIs, events, and AI steps with observability at every stage.

Applied AI Research

Focused R&D sprints that de-risk novel approaches before production commitment.

Process

How we work

A delivery model built for production accountability — from scoped discovery through deployment and continuous improvement. Each phase has clear deliverables, owners, and go/no-go gates.

  • Production accountability

    Shippable outcomes at every gate — not slide decks or isolated pilots.

  • Embedded delivery

    We work inside your systems, teams, and constraints from day one.

  • Governed operations

    Observability, evaluation, and handoff built into how we deploy.

  1. Discovery

    Map context, data constraints, and success metrics. Align stakeholders and scope before design begins.

  2. Systems architecture

    Define boundaries, integrations, and security posture. Infrastructure engineered for reliable AI at scale.

  3. Integration

    Connect systems, pipelines, and APIs. Auditable workflows with human oversight where it matters.

  4. Deployment

    Ship with observability and evaluation gates. Runbooks and controls aligned to your operations.

  5. Optimization

    Measure outcomes and tune models post-launch. Expand scope with the same engineering discipline.

Get in touch.

We take a limited number of engagements each quarter.

Book a Consultation

hello@alpiniststudios.ai