Technical investigations
Focused research around one difficult implementation or feasibility question.
LABS / EXPERIMENT TYPE 01
R&D.
Explore the question before pretending the answer is obvious.
We use focused research and technical exploration to understand emerging technologies, difficult constraints and unusual combinations before they become expensive commitments.
When the unknown is the actual project.
R&D is useful when the team needs evidence about what is possible, practical or worth pursuing before product scope hardens around an assumption.
Start with
the uncertainty.
- A new technology looks promising but its practical value is unclear.
- A difficult technical constraint needs investigation before architecture decisions.
- Several possible approaches exist and none has enough evidence yet.
- An idea crosses software, AI, hardware or media boundaries.
- The team needs to understand feasibility before committing a larger budget.
- A technology trend needs to be separated from what is actually useful.
Only enough
to find out.
Technology comparisons
Practical comparison of approaches against the real constraints of the problem.
Proof-oriented research
Small builds or tests that produce stronger evidence than desk research alone.
Architecture spikes
Temporary technical work used to explore system boundaries before long-term decisions.
Emerging-tech exploration
Controlled investigation of new tools without assuming novelty equals value.
Research briefs
Structured findings, risks and next-step recommendations from the experiment.
The unresolved field.
The experiment
The unresolved field
A question is a place to start, not an answer to defend.
Question
Name the unknown before choosing a method.
A probe crosses an unresolved field. Separate traces reveal different directions; only one earns a closer look. This is an explanatory study, not a claim about completed client research.
A method,
not a guess.
- 01
QUESTION
Define the uncertainty precisely enough that an experiment can challenge it.
- 02
HYPOTHESIS
State what we currently believe and what evidence would change that belief.
- 03
EXPLORE
Research and build only what is needed to test the important assumption.
- 04
TEST
Run the idea against technical, user or operational reality.
- 05
READ
Separate evidence from enthusiasm and record what actually changed.
- 06
DECIDE
Kill the direction, iterate it or graduate it into a larger build.
What we learn.
What we use.
Tools serve the question. They are not a fixed stack or a promise of an outcome.
Evidence to collect
- Feasibility signal
- Constraint map
- Working spike
- Risk notes
- Decision record
- Next experiment
Experiment materials
- Python
- TypeScript
- Go
- Rust
- C++
- Docker
Stop↗
The evidence says the idea should stop here.
Iterate↗
The question became clearer, but another experiment is justified.
Graduate↗
The idea earned a path into a permanent Yard or product.
Research earns value when it changes the next decision.
Good questions
come first.
Is R&D the same as building a prototype?
Not always. A prototype may be one research instrument, but some R&D questions are better answered through smaller technical tests or structured investigation.
Do you research technologies without building anything?
Sometimes, but important uncertainty often benefits from a working test rather than documentation alone.
Can R&D stop a project?
Yes. Discovering that an approach is not worth pursuing can be a successful outcome.
Do you provide findings after the experiment?
The engagement can include a concise decision record, risks and recommended next steps.
Can R&D lead into another Yard?
Yes. An experiment can graduate into Software, Intelligence, Automation, Media or Studios when it has earned a clearer direction.
Do you guarantee an idea will work?
No. Labs exists precisely because the answer is not known in advance.