Decide whether to invest
Examine the task, available data, alternatives and the cost of getting it wrong before choosing technology.
Is there a case worth testing?
AI consulting for your business.
- From strategy to implementation.
- From pilot to production.
- With control over your data.
We help product, technology and operations teams move from an idea or a pilot to a decision they can defend and a system they can maintain.
Continue exploringTHE ENGAGEMENT
Three starting points. One test: what actually works?
You do not need a finished specification. We start with the decision in front of you.
Review an existing pilot
Look at quality, access, limitations and operations in what you have already built to inform the next step.
What evidence is missing?
Implement with care
Design a bounded system and its integration around the people who will use it and the team that will maintain it.
Will it hold up beyond a demo?
A SAMPLE OF THE WORK
Before saying “it works”, decide what to test.
A useful review begins with questions that can be tested. This example shows how we would frame an evaluation of an assistant searching internal documents.
Test protocol · illustrative exampleH/L · 01
Fictional scenario: two roles query internal policies created with synthetic data.
ConditionWhat should be checked
Evidence
An answer about a current policy should cite the synthetic document that supports it.
Permissions
A person without access to a restricted document should not receive its contents, directly or in summary.
Abstention
If no sufficient source exists, the assistant should say so instead of inventing a number.
This is an illustrative specification, not an executed test, a measured result or a client project.
PRIVACY AND CONTROL
Architecture follows the case, not the slogan.
An external API may be right for one project; another may need tighter control over data, infrastructure or operations. The choice depends on constraints, total cost and who will run the system.
Data and access
What information is used, who may see it and how it is updated or deleted.
Deployment and dependency
Which cloud, owned-environment or private deployment options fit the work.
Operations and review
How failures are observed, changes evaluated and permissions maintained.
Private deployment alone does not establish legal compliance; legal and organisational review remains necessary.
Explore private AI consultingTHE PEOPLE
Know who you are working with.
Hesperia Labs is led by two co-founders. Their work connects product decisions with architecture and technical delivery.
Meet the teamJosé Manuel Cotarelo Linares
Co-founder · product and architecture
Guillermo Robles Fernandez
Co-founder · implementation and technical delivery
LET’S TALK
Tell us what you are trying to solve.
A short outline of the task, what you have tried and the constraints that matter is enough to begin. There is no need to send sensitive documents in the first message.
hello@hesperialabs.com