WE SHOW THE WORK
Every score carries the rule it applied and the passage it read. If you can't check it, we haven't finished it.
[FQ_00 / WHO WE ARE]
FQ grew from practical problems in quality assurance and customer operations into a wider understanding of how systems shape culture. That experience guides our work in AI, research and solution design, with the people using what we build involved from the beginning.
[01 / WHY WE EXIST]
Every operation we worked in ran on a sample. A few conversations per person per month, scored by hand, turned into the number the business steered by. Everyone knew the number was thin. Nobody had a better one.
That experience shaped our approach: understand the work, make the evidence easier to inspect, and give the people responsible a better basis for deciding. REVEAL grew from that question. Our solution-design work takes the same approach into other parts of a business.
We work across customer operations, knowledge workflows and real-estate applications, alongside exploratory AI research. The setting changes. The responsibility stays the same: agree the problem, test the approach and explain its limits.
WE SHOW THE WORK
Every score carries the rule it applied and the passage it read. If you can't check it, we haven't finished it.
PEOPLE DECIDE
REVEAL reads at a scale no team can reach. It doesn't choose. It puts the evidence in front of the person who does.
WE BUILD WITH YOUR TEAM
The people who use a system help shape it. We agree what success looks like, test it together and plan how the team will run it.
[02 / WHAT WE DO]
REVEAL is our conversation-analysis product. Solution Design is how we build around your business. Labs is where we test what is possible and where the limits sit.

THE PRODUCT
Analyse human and AI conversations against your own quality standards. Inspect the source behind a finding and decide where your team should focus.
Explore REVEAL →
CUSTOM SOLUTIONS
Map the operation, identify a useful role for AI, and build a workflow around your processes and existing systems. Agree the evaluation and handover from the start.
Design around your business →LABS
Our research spans conversation analysis, model evaluation and exploratory work in psychiatry. We distinguish a research question from a validated result and a product that is ready to use.
Explore Labs →AI IN YOUR BUSINESS
Application work includes real-estate listings and property workflows, and the reading, matching and handovers involved in knowledge services. Each solution starts with its own business case and evaluation.
See application areas →[03 / THE TEAM]
Small on purpose. Everyone here builds, and everyone here talks to the people who use what we build.
01
Founder
Andi brings quality assurance and operations experience to FQ’s product direction. He works on the questions a system should answer, how its results can be checked, and what would make it useful to the people doing the work.
02
Co-Founder | Chief Technology Officer
Panos leads engineering: the architecture, models, integrations and security that turn a design into a working system. He connects what the business needs with how the software is built and run.
03
CMO
Owns how the work reaches the people who need it: the brand, the channels, the campaigns. Keeps what we say in step with what we ship.
04
Co-Founder | Chief Operating Officer
Mike brings sales, client-management and business-development experience. He works with customers on the commercial fit, coordinates delivery and helps keep the relationship useful beyond the first project.
05
AI Ethicist
Owns the line the products must not cross. Reads what the models do against what we claim they do, and keeps a person in every decision that matters.
06
Chief Emotional Officers · Solution Design
Lolita · textbook avoidant-secure: she will sit on your keyboard during a live demo, then ignore you for three hours to prove the attachment was optional. Diagnoses group anxiety by staring until someone confesses the real deadline.
Thor · high-agency chaos theorist. Believes every cardboard box is a temporary ego structure and that your standup would improve if you all lay down. Specialises in interrupting spirals, usually by sitting in them.
[04 / HOW WE HELP]
Process mapping, interviews, integration review and a business case built from your assumptions. Agree the problem before selecting the technology.
Our approach →Model selection, retrieval, workflow automation and interfaces that fit the work. Connect to existing systems and test against agreed examples.
What we build →Examine model behaviour, document limitations and involve the people who will rely on the result. Research informs the build; evidence determines the next step.
Labs: research and evaluation →[05 / SEE THE WORK]
Follow the rule, source and recorded model behind an analysis.
The audit trail →See how a business problem becomes a scoped build and evaluation.
The design process →Research, prototypes and available capabilities have different roles.
Labs: what is in development →[06 / ARTICLES]
Papers when the argument needs evidence, a book when it needed a year, and short notes from the work in between.
[07 / TALKS]
We run these with the team that will have to live with the result, on their own data where we can. In person or remote · length and format agreed on the call.
WORKSHOP
For operations and quality leads. Where your current number comes from, what it misses, and what a read of everything would change.
BOOK THIS →
WORKING SESSION
With your team, on your own interactions. We build the scorecard together and run it live.
BOOK THIS →
TECHNICAL
For engineering and security teams. What runs on your hardware, what it costs, and how information is handled inside your environment.
BOOK THIS →
[08 / THE MONTHLY NOTE]
What we built, what broke, what we learned from it. No campaign, no drip, one note.
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