Services
Data, AI and software engineering services for production systems.
Liquid Chair brings four disciplines to problems where applications, data, intelligent capability and delivery context have to fit together.
01 · Service
Data Engineering
Reliable data platforms, pipelines and architectures that make operational data usable.
We design and build data pipelines, integrations, warehouses, analytics foundations, and business intelligence experiences so teams can trust the data moving through their operations.
Useful when
- Operational data is split across systems and hard to use
- Reporting depends on fragile exports, spreadsheets, or manual steps
Capabilities
- ETL and ELT pipelines
- Data architecture and platforms
- Data integration
- Analytics engineering and business intelligence
- Data quality and operational reporting
02 · Service
Applied AI & Machine Learning
Machine learning, language-model and intelligent application work connected to real data and workflows.
We help move AI from prototype to useful production capability by connecting models, language interfaces, retrieval patterns, application logic, and operational data to the workflows they must support.
Useful when
- An AI prototype works in isolation but is not integrated with production workflows
- A product needs language, search, classification, ranking, or recommendation capability
Capabilities
- Machine-learning systems
- Natural-language processing
- LLM and retrieval-augmented applications
- AI integration
- Model deployment and MLOps
03 · Service
Forward Deployed Engineering
Senior engineers close to stakeholders, users, systems and data until the solution works in practice.
We work directly with stakeholders, users, systems, and data to clarify complex requirements, adapt quickly, integrate in the real environment, and deliver software, data, and AI solutions that are shaped by actual use.
Useful when
- Requirements are important but cannot be fully specified upfront
- The work depends on direct contact with users, operations, data, and existing systems
Capabilities
- Problem and workflow discovery
- Rapid prototyping and adaptation
- Stakeholder and user collaboration
- Integration with existing systems
- Production deployment and iteration
A delivery model, not staff augmentation.
The emphasis is direct collaboration, rapid learning, integration, deployment, and accountability for a solution working in practice.
04 · Service
Software Engineering
Production applications, APIs and integrations built around real operating requirements.
We design and build substantial software systems: enterprise applications, web applications, backend services, APIs, integrations, and modernization work that needs to survive contact with real users and existing platforms.
Useful when
- A product or internal platform has outgrown its current architecture
- A workflow needs custom software rather than another off-the-shelf tool
Capabilities
- Enterprise and web applications
- Backend systems and REST APIs
- Systems integration
- Software architecture
- Modernization, testing, and delivery
Next step
Which engineering problem needs to move into production?
Start with the business context. We will help determine which capability and delivery model fits.