AI lab

Artificial intelligence

AI applied to real operations: agents, RAG, vision, voice and automation. We don't sell throwaway demos; we integrate models into real products and processes.

HQ Carrera 8A 97-07, BogotáLanguages ES · EN · FRIn production Published cases
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In short

Slash Digital Lab implements AI applied to real operations: agents with tools, RAG over private data, vision, voice and automation. We don't sell throwaway demos; we integrate models into products and processes, in Spanish, English and French.

The proof is published: Peoplesnap, the official app of Colombia Tech Week 2026 and the open method of Slash AI Lab.

What we deliver

AI capabilities, with ground rules

Four capabilities, one standard: honest evaluation, sprint-based build and handover with your team.

01

Agents & copilots

Assistants that read your data, run actions and escalate to a person when needed. Memory and guardrails from day one.

02

RAG & private knowledge

Search and answers over your documents and databases, with verifiable citations, in Spanish, English and French.

03

Vision & voice

Models that see screens, products and stores, or answer calls; integrated into your real processes.

04

AI automation

Repetitive processes turned into robust flows with traceability, metrics and an owner.

How we work

From idea to production in four steps

  1. Discovery (1–2 weeks)

    Interviews, data and process review. We leave with one prioritized use case and a written scope.

  2. Blueprint

    Architecture, model choice (see Slash AI Lab), estimated cost and risks. Nothing stays verbal: a document.

  3. Build

    Short sprints with weekly demos; your team sees the product, not a final report.

  4. Production & handover

    Deployment, metrics, team training and documentation. NDA when the project requires it.

Scope and deliverables

What an AI project includes

DiscoveryUse cases prioritized by impact and feasibility; written scope before building.
Model choiceEvaluation in Slash AI Lab with your business prompts: LLMs, agents, vision or voice.
IntegrationConnection to your systems: CRM, helpdesk, ERP, WhatsApp Business API.
SecurityGuardrails, access control and data residency: cloud, VPC or local inference.
HandoverDocumentation, metrics and training so your team runs it without us.
LanguagesSpanish, English and French — quality evaluation included.
Proof in production

AI in production, not demos

0+countries with deployed projects
0+urban screens fed by live data
0working languages: ES · EN · FR
0lab founded in Bogotá
PeoplesnapRead more Peoplesnap

From smartphone to DOOH mosaic, without a single booth

Peoplesnap is Slash Experience's photobooth product: a white-label web app that turns each guest's phone into the activation. QR, selfie, AI editing (100+ parameters), social share, print and mosaics on event screens. Already live for Mouton Cadet, La French Tech Bordeaux, CEA Marcoule, Denver Pub Crawl, With Agency, We Love Beer and CES Las Vegas 2024.

Learn more
Frequently asked questions

The questions we hear often

Does Slash Digital Lab specialize in AI?

Yes. Slash AI Lab is our applied evaluation and implementation pillar: LLMs, agents, vision, voice, RAG, fine-tuning, MCP/tools and local or cloud inference.

Consulting and implementation, or just workshops?

Both: diagnosis and architecture first, then build. The proof is products in production, not a one-off workshop.

Do you work with private data?

Yes: data residency by design (cloud, VPC or local), least privilege and an NDA when the project requires it.

How much does an AI project cost?

Discovery and blueprint are scoped by size; build runs in sprints. Write to us with your case Write to us with your case.

Where is Slash Digital Lab based?

HQ at Carrera 8A 97-07, Bogotá, Colombia, with teams and commercial presence in Paris, Lyon and Madrid.

Related capabilities

Where to next

Agents

AI agents

Agents with tools, memory and human oversight: support, ops and back office.

Learn more Chatbots

AI chatbots

Trilingual assistants (ES/EN/FR) connected to private data, CRM and processes.

Learn more Vision

Computer vision

Computer vision for retail, DOOH, CCTV analytics and physical-digital experiences.

Learn more Fine-tuning

Fine-tuning & RAG

When to tune the model and when to give it knowledge. Judgement, not hype.

Learn more
Talk to Slash

Let's put it in production

Tell us your challenge. We reply within 24 hours with an honest first read: if we can help, we'll say how; if not, we'll say who can.

Start a project Direct WhatsApp to Esteban

I reply personally. No endless forms, no canned replies.