Who it is for
When this service is useful.
Technology, data, and product leaders moving a defined AI or machine-learning opportunity from exploration into a useful production system.
Problems it addresses
- AI concepts that have not reached production
- Applications that need natural-language or machine-learning capabilities
- Models that must connect to real data and workflows
- Deployment and operational requirements around intelligent systems
What Liquid Chair does
Capability connected to implementation.
We develop machine-learning and natural-language solutions, integrate AI into applications, and carry models through deployment with attention to the systems and data around them.
Core capabilities
- Machine-learning systems
- Natural-language processing
- Intelligent applications
- AI integration
- Model deployment and MLOps
How the work moves
From context to production.
Liquid Chair connects problem understanding, architecture, implementation, deployment, and iteration. The emphasis changes with the engagement, but the work stays tied to the operating context.
- 01
Understand
- 02
Design
- 03
Build
- 04
Deploy
- 05
Iterate
What the work produces
Concrete delivery without invented guarantees.
- Intelligent application features and integrations
- Machine-learning or natural-language systems
- Model deployment and operational workflows
- Production implementations connected to existing data and software
Related capabilities
The disciplines reinforce one another.
Software Engineering
Custom applications and connected systems built for the way your organization operates.
Explore Software EngineeringData Engineering & Business Intelligence
Reliable data foundations that make operational information useful and accessible.
Explore Data Engineering & Business IntelligenceForward Deployed Engineering
Experienced engineers working close to the problem until the solution works in practice.
Explore Forward Deployed Engineering