Embedded context
Engineers work near the people, workflows and constraints that define the real problem.
Engineering consultancy · From architecture to production
Data, AI and software engineering for complex problems.
Liquid Chair designs and builds production data platforms, applied AI systems and custom software. Our engineers work close to your teams, data and operating environment from architecture through deployment.
Data EngineeringApplied AI & Machine LearningSoftware EngineeringForward Deployed Engineering
Core capabilities
Four engineering disciplines, one production outcome.
Data, AI, software and forward deployed engineering often meet in the same hard problem. Liquid Chair brings those disciplines together without losing technical depth.
01
Data Engineering
Reliable data platforms, pipelines and architectures that make operational data usable.
02Applied AI & Machine Learning
Machine learning, language-model and intelligent application work connected to real data and workflows.
03Forward Deployed Engineering
Senior engineers close to stakeholders, users, systems and data until the solution works in practice.
04Software Engineering
Production applications, APIs and integrations built around real operating requirements.
Problems we solve
The work usually starts where systems, data and decisions are messy.
Buyers rarely need a capability in isolation. They need a difficult operational problem understood, engineered and put into use.
Fragmented operational data that prevents confident decisions
Pipelines and integrations that are unreliable or difficult to scale
AI prototypes that have not become production capability
LLM initiatives disconnected from real workflows and data
Legacy applications slowing delivery or constraining product work
Complex integrations across software, data, and business systems
Products that require software, data, and AI to work together
Ambiguous initiatives where requirements emerge through close collaboration
How we work
A direct path from context to production.
We start with the real problem, shape an architecture around the environment, build in useful increments, deploy into practice, and learn from use.
- 01
Understand
- 02
Design
- 03
Build
- 04
Deploy
- 05
Iterate
Forward Deployed Engineering
Engineers close enough to turn ambiguity into working systems.
Experienced engineers work directly with the people, systems and data around a complex initiative. Short feedback loops turn emerging requirements into software, data and AI solutions that fit the actual environment.
This is a hands-on delivery model, not generic staff augmentation and not consulting from a distance.
Works inside the operating context
Stakeholders
Users
Data
Systems
Technical translation
Ambiguous needs become architecture, interfaces, data flows and production increments.
Production accountability
The work stays connected through integration, deployment and learning from actual use.
Product evidence
We build what we advise on.
Lodgegrid helps travellers stop comparing hundreds of hotels. It turns stay preferences, location needs and repeated guest-review patterns into a smaller shortlist and an explained recommendation.
For Liquid Chair, it is product evidence: software, data, applied AI and product engineering working together in a live public service.
Explore Lodgegrid
Lodgegrid
Hotel decision intelligence
No sign-up
Review intelligence
Quiet rooms92%
Breakfast81%
Room size70%
Recommended pick
The Annex House
A clear best-fit hotel with plain reasons tied to location, comfort and stay preferences.
Why it fits
Evidence before booking
Highlights the strengths, weaknesses and trade-offs guests repeatedly mention.
Watch out
Practical trade-offs
Calls out the details that matter before booking, not after arrival.
Software engineering
A live decision-support web product with user-facing workflows, comparison flows, and production delivery concerns.
Data engineering
Hotel, location, price, rating, and guest-review information organized into usable decision context.
Applied AI
Review-theme and semantic understanding used to help travelers compare tradeoffs instead of scanning raw listings.
Product engineering
A real system Liquid Chair builds and operates, improved through the realities of product use rather than slideware.
Why Liquid Chair
Credibility comes from what gets engineered, integrated and operated.
The strongest public proof available on this site is Liquid Chair's own product work. Additional client outcomes should be added only when they can be described accurately and with permission.
Architecture through deployment
The work is framed as engineering delivery, not advice that ends before integration and production use.
Business context in the engineering loop
Users, workflows, data, constraints, and existing systems shape technical choices while the work is being built.
Product evidence
Lodgegrid demonstrates that Liquid Chair applies software, data, AI, and product thinking to a product it operates.
Next step
Bring us the problem that needs to work in practice.
Tell us what you are trying to build, improve, or put into production.