01
Coding environments
Pinned repositories in Docker with build, test, and run tooling ready. Reset to a known state for every attempt.
Learn moreHUMAN DATA. REAL-WORLD INTELLIGENCE.
Human
expertise.
Bolder
intelligence.
Expert-built training data, evaluations, and environments for AI that needs to do more.
- 15+ years
- of leadership in software delivery
- 100+ apps
- shipped by Bolder Apps for US startups and enterprises
- 80+ engineers and QA
- across the US, Europe, Central Asia, and Latin America
- Flutter, Android, iOS, Shopify
- where we go deepest
01 / WHO WE AREFROM THE BUILDERS BEHIND BOLDER APPS
Built by people
who do the work.
Bolder Labs is the AI data and evaluation arm of Bolder Apps.
For years our engineers have built, tested, and maintained apps for real users. Now we turn that craft into training signal: tasks a model has to actually solve, graded by tests it can’t see.
01
Production experience
Our tasks come from how software really breaks, not from puzzles.
02
A QA culture
Every task is challenged by a second engineer before it ships.
03
Clean provenance
We build our own codebases for this work.
02 / WHAT WE BUILDSIX WAYS TO WORK WITH US
Pick the signal
you need.
Six ways to work with us, from a single evaluation set to an embedded team.
02
Expert-authored tasks
Bugs, features, migrations, and build fixes written by senior engineers, each with a reference solution and hidden tests.
Learn more03
Evaluations
Private test sets with calibration reports: pass rates by model, failure taxonomy, and human baselines.
Learn more04
Expert data
Solve trajectories, preference pairs, and code-review critiques from senior engineers, for supervised fine-tuning and post-training.
Ask about expert data05
Task and verifier audits
We red-team existing task sets for reward hacking, flaky tests, and impossible tasks.
Scope an audit06
Engineering pods
Vetted mobile and commerce engineers who author and review tasks inside your pipeline.
Scope a pod
Expert-authored taskHidden testsDeterministic reward
03 / THE THREE PILLARSENVIRONMENTS, TASKS, GRADING
Environments.
Tasks. Grading.
Three pages on how the work is built, what ships with it, and why the reward can be trusted.
ENVIRONMENTS
Two environment types.
How the agent acts, and what it’s graded on. Repository tasks with a shell, and mobile app environments operated like a person would.
See the environmentsTASKS
Open a task, end to end.
Every task ships with its instruction, its environment, hidden tests, and measured results. Here’s one.
Open the sample taskGRADING
High reward should mean the task was solved.
A grader that can be gamed teaches the wrong lesson. Ours are built to resist it.
Read the guarantees04 / HOW A PILOT RUNSFOUR STEPS
Start focused.
Set a higher bar.
Begin with one model behavior, one well-defined task, and a quality standard everyone can inspect.
Scope a pilot
- 01
Define the gap.
Agree on the target behavior, task boundaries, data rights, and what a good result looks like.
- 02
Build the signal.
Design tasks, tests, and rubrics. Match the work to the engineers who know it.
- 03
Challenge the output.
A second engineer solves every task blind. Disagreements are resolved explicitly.
- 04
Deliver, measure, refine.
Ship with provenance, calibration results, and review notes. Use what we learn in the next batch.
FOR SOFTWARE AGENCIES
Run a software agency? Your work may be worth more than you think.
We partner with established agencies that own well-maintained repositories and project records. AI labs value real engineering history. We handle the packaging, cleanup, and the conversation with buyers.
See how partnership worksGET IN TOUCHLABS AND AGENCIES
Two ways
in.
Tell us what your AI needs to do better.
We’ll start with the right problem.
RECEIVED
Inquiry sent.
Thanks. We’ll reply from a bolderlabs.si address.
A FEW GOOD QUESTIONS
Questions people ask.
Who is Bolder Labs for?
AI research labs and product teams looking for task-specific human data, model evaluations, or realistic training environments. We start with a focused problem and a clearly defined pilot.
What does a pilot look like?
We scope a task family, the expertise needed, deliverables, and acceptance criteria together. That might mean a set of expert demonstrations, a custom evaluation, or a small environment built around a verifiable task. Timing and cost depend on the agreed scope.
How are data rights and confidentiality handled?
Data permissions, ownership, access, and confidentiality need to be agreed before a project starts. The engagement should define which sources are permitted, who can review them, and what can be delivered. Please don’t include confidential datasets or sensitive personal information in your inquiry.
How is this connected to Bolder Apps?
Bolder Labs is a new unit of Bolder Apps, the software agency. Same engineers, new output: training data, environments, and evaluations.
Can I share data with you?
Yes. If you’re a software agency with data to offer, start with the agency application. It covers your agency, repositories, and tools. If there’s a fit, we follow up with an NDA, an inventory you run on your side, and a secure way to share a sample. The inquiry form is for project conversations only.