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[Service 05 · Applied artificial intelligence]

AI in production_

Language models, computer vision and generative models built into real products. A lab led by a master’s graduate in Applied Artificial Intelligence.

AreasLanguage · vision · generativeWe deliverProducts in productionIncludesData, models and interface

[Models that work]

[How we think about it]

A demo impresses once. A well-evaluated system works every day_

[What we do]

Models, data
and interface_

We pick the model that best solves each case, connect it to your data and measure it before putting it in front of your users.

Assistants and agents

Language models with tools, document retrieval (RAG) and memory, connected to your systems.

Voice to document

Transcription and structured extraction: from a conversation to a record, a note or a form.

Computer vision

Hand, body and face detection, similarity search and image classification.

Generative content

Images, video and text generated at scale, within your brand’s guidelines.

Evaluation and safety

Test sets, metrics and human review before production; privacy by design.

Process automation

Workflows that read, classify and respond: less manual data entry.

LLMsRAGEmbeddingsWhisperMediaPipePythonEvaluation

[Projects]

Been there, built that_

[How we work]

Step by step_

  1. Use case and dataWhich decision or task it improves, with what data and how we’ll measure it.
  2. Proof of conceptA scoped version with real metrics, in weeks.
  3. ProductInterface, integration with your systems and safety controls.
  4. Continuous evaluationMonitoring quality, costs and errors once it’s in use.
  5. OperationImprovements, new use cases and training for your team.

[Who it’s for]

Who we
work with_

HealthcareWellnessProfessional servicesE-commerceBrandsSocial impact

[Questions]

Before we
start_

What happens to our data?

We design for privacy from day one: encrypted data, settings that don’t use your information to train models, and local processing whenever possible.

Do you use ChatGPT?

We use whichever model best solves each case, commercial or open source, and we evaluate it with your own data before choosing.

How do we get started?

With a tightly scoped proof of concept. With measured results in hand, you decide whether to scale.

[Let’s work together]

What task do you
want to solve?

Tell us about the process and the data you have. We’ll tell you whether AI is the right tool and how we’d measure it.

Write to us at hola@totot.mx ↗