Three practices. One firm.
Most organisations now have capable models and no way to put them to work. The gap is people who can use the tools, software that agents can actually operate, and a clear decision about what the work should look like afterwards. We are organised around all three.
Practices are how the firm is described. Offers are what gets bought.
- 01 Enablement
Glhip Learning
A hands on day on the work your team already does, and a private portal that reports what actually stuck.
Explore Glhip Learning - 02 Enablement
Live Workshops
Monthly across APAC and privately on site. Non technical leaders, on their own laptops, on their own work.
See upcoming events - 03 Build
MCP and Agent Platforms
The APIs you already own, wrapped as MCP servers with auth, scoped tools and planning structure, so agents can operate your software.
Start with your APIs - 04 Build
Glhip Model Factory
Every model through one endpoint, at the best rate for the task, with the estimated cost of each request shown before it runs.
See Model Factory - 05 Build
Plugins and Custom Skills
How your organisation actually works, packaged as installable Claude skills and plugins, versioned and distributed to your people.
See the skills - 06 Build
AI Strategy and Development
The AI roadmap, then the build. Use cases, build versus buy, solution design, vendor selection and supervised deployment.
See the offer - 07 Brand and Intelligence
Soul Brand Intelligence
Brand intelligence running continuously: signal ingestion, agentic analysis, a live dashboard and a working cadence.
See Soul - 08 Brand and Intelligence
AI Media and Marketing Production
On brand images, short form video, avatars and ad creative, generated with frontier models and packaged for every channel.
See the offer
Why Build holds both directions
MCP and Agent Platforms points outward: it wraps the software you own so that an agent can operate it. Model Factory points inward: it wraps every model provider so that your application can reach them through one governed surface. Same discipline, opposite direction. Sold together they describe a complete agentic stack.
Package the way your team works as something they can install.
A good prompt helps one person once. A skill helps everyone, every time, and it carries your standards with it.
We build installable Claude skills and plugins that encode how your organisation actually works: the report format your board expects, the review checklist your risk team requires, the deal desk workflow your sales team runs, the house style your writing has to match. Packaged, versioned and distributed to your people, so the good version of the work is the easy version.
- Skills that turn a repeated workflow into working tooling rather than a document about the workflow.
- Plugins that bundle skills, connectors and settings so a whole role gets set up in one install.
- Connector and MCP integration, so a skill reaches the systems the work actually lives in.
- Versioning and distribution, including a private marketplace where that fits.
- Evaluation, so you can see which skills get used and which quietly do not.
This is not theoretical for us. Glhip Learning ships every lesson as an installable skill, and the portal reports which ones people actually run. We build these for ourselves before we build them for you.
AI Strategy and Development
We set the AI roadmap and then build it. Use case identification, build versus buy, solution design, technology audits, vendor selection, agent and workflow engineering, supervised deployment. We build what we recommend.
AI Media and Marketing Production
On brand images, short form video, avatars and ad creative generated with frontier models, packaged for web, social, email and paid. Volume without agency timelines or per asset fees. We produce our own material this way, including the placeholder imagery in our own design work, which we label as generated rather than pass off as photography.