FQ Labs
We explore how AI can support real work and everyday decisions, through industry platforms, shared knowledge, research, learning and personal tools.
[00 / WHY WE BUILD]
Explore an idea through the work it could improve.
We begin with a practical question, then examine how a model responds, what evidence supports its answer and how someone would use the result. The aim is to understand where an idea can help and what needs further work.
These projects bring that approach into different settings, each with its own questions, data and working practices. Their scope ranges from exploratory research to platform and system development.
01 · REAL ESTATE
Connect the work of managing and marketing property.
Our real-estate platform work connects listing creation, publishing across property portals, presentation building and enquiry handling. The wider roadmap includes pricing tools, market intelligence, an AI property assistant and digital business cards, bringing the agent’s daily work into a connected system.
PLATFORM DEVELOPMENT
02 · EXPERT NETWORKS
Connect research briefs with the right experts.
We are building around the workflow of expert networks, where a client brief needs to become a well-matched research engagement. The platform brings AI-assisted brief intake, case creation, expert classification and matching into the researcher’s workflow, with screening and human review informing who moves forward.
PLATFORM DEVELOPMENT
03 · REVEAL SCIENCE
Explore what conversations can reveal in psychiatry.
REVEAL Science explores how conversation analysis might contribute to understanding in a clinical setting. The work centres on the research question, the evidence needed to evaluate it and the role of clinical expertise in interpreting the findings.
EXPLORATORY RESEARCH
04 · DMAIC
Investigate problems and track improvement.
The DMAIC system connects performance, quality and root-cause evidence across Define, Measure, Analyse, Improve and Control. It is designed to help teams investigate a recurring problem, evaluate possible improvements and track what happens after a change, with human input guiding decisions through the process.
SYSTEM DEVELOPMENT
05 · FOCUSM · SHARED AI MEMORY
Keep your knowledge across AI tools.
FocusM brings project knowledge into a shared memory that different AI assistants can access. The local system stores information once and retrieves it by meaning, helping people carry context between tools and return to earlier work without starting from the beginning.
LOCAL PROTOTYPE
06 · SYNTHETIC CONVERSATION TESTING
Test conversation analysis against known answers.
This research designs fictional calls, chats and emails with predefined scenarios and expected findings. The aim is to evaluate how reliably REVEAL identifies contact reasons, quality issues and root causes across different situations, using a controlled test set kept separate from real customer conversations.
RESEARCH & DESIGN
07 · AI TRAINING & COACHING
Turn performance gaps into useful learning.
Our training and coaching work explores how findings from REVEAL can inform learning materials, practice scenarios and individual coaching plans. The design connects each recommendation to the underlying evidence, with team leaders reviewing the next steps and tracking whether they help.
RESEARCH & DESIGN
08 · AI FITNESS COMPANION
Plan your training and follow your progress.
Our local fitness prototype combines workout planning, exercise guidance, session tracking and an AI coach. It explores how an assistant can use a person’s goals and training history to make everyday planning easier, with progress available to review over time.
LOCAL PROTOTYPE
[09 / WHAT COMES BACK]
Research informs what we build.
What we learn can improve a capability in REVEAL, shape a solution for a particular business or give us a better question to investigate. Each direction grows from the evidence and the needs of the people involved.
When an idea is ready to develop further, we agree its intended use, how to evaluate it and who will review the result. That gives the work a clear purpose and a practical basis for deciding what comes next.
[10 / TOGETHER]
Let's worktogether.
Bring a research question or a workflow you want to improve. We can discuss the evidence needed and whether there is a useful next step together.