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Slash Digital Lab

Applied AI, data & digital transformation

No customer review published

Slash Digital Lab is a digital innovation lab based in Bogotá, with a stated presence in Paris and Madrid, combining digital transformation, applied AI, data and interactive experiences.

Compare this provider with alternatives ↗Official website ↗ of Slash Digital Lab
AIPartnerLens positioning

Slash Digital Lab positions itself as a senior team combining strategy, design and engineering.

Its public offering spans digital transformation, generative AI and intelligent agents, data solutions and Digital Out of Home, with displayed references in luxury, retail and entertainment.

  • AIPartnerLens analysis
Public budget
Unstructured origin (legacy profile) · Not publicly disclosed. The company asks prospects to describe their project before providing an initial assessment and scope.
Factual review
Profile not reviewed by the provider
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Verified customer reviews

Reviews of Slash Digital Lab

An overall score is not enough. Each review can break down five comparable criteria to show the provider’s strengths and points to watch.

Reviews are checked manually before publication, and their verification status remains explicit. Supporting evidence stays private, and a provider’s paid listing plan never affects its scores or publication.

No customer review published

Evaluation criteria

Each criterion remains visible as a separate rating.

Score /5
  1. 01

    Scoping & business understanding

    Understanding of the need, priorities and proposed scope.

  2. 02

    AI expertise & deliverable quality

    Technical expertise, soundness of the choices made and quality of the delivered work.

  3. 03

    Communication & project management

    Clarity of communication, progress visibility and handling of unexpected issues.

  4. 04

    Budget & timeline reliability

    Alignment between the initial commitments and the actual project outcome.

  5. 05

    Production rollout & ongoing support

    Deployment, knowledge transfer, maintenance and ongoing assistance.

No verified customer review has been published on this profile yet.

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Decision-focused summary

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Factual review, plan status and editorial conclusions are handled separately.

Best fit

  • Brand or company with a project combining digital product, AI, data and user experience.
  • Retail, luxury, events or entertainment project requiring an interactive experience.
  • Organization seeking strategic scoping followed by technical delivery.
  • Project requiring data integration, analytics or visualization alongside AI.

Poor-fit scenario

  • Very small company with a limited budget seeking only a simple automation.
  • Need already covered by a standard SaaS product without development or integration.
  • Project requiring a fixed published price and delivery date before any scoping.
  • Buyer requiring independently audited outcomes before any discussion.

Evidence available

  • The website displays references including Chanel, Cartier, JCDecaux, L'Oreal, Planet Fitness and Alain Afflelou, and states that DOOH solutions have been deployed in more than 10 countries. It also documents Peoplesnap, an event-experience product using real-time AI features. These claims are provider-published and have not been independently verified by this platform.

Points to clarify

  • Ask which references specifically involved an AI engagement comparable to the target need.
  • Clarify minimum budget, pricing model and delivery timeline by project type.
  • Identify the team and country from which the engagement will actually be delivered.
  • Scope AI models, data, hosting, security, subprocessors and IP ownership.

Services and engagement formats

Use cases, formats, deliverables and engagement requirements.

Structured use cases

Deploy chatbots and AI agents in real business operations

Automate documentation generation and selected internal processes

Turn raw data into actionable analytics and visualizations

Design digital transformation strategy and support adoption

Build interactive retail, event and DOOH experiences

Connect digital experiences, data and CRM

Project delivery

Steps, deliverables, human validation and production deployment.
Indicative duration
Not publicly disclosed. The website states that project inquiries receive an initial response in under 24 hours, but it does not publish a standard delivery timeline.

Budget and business model

Entry budget, billing unit, source, subscriptions and included scope.
Budget details
Not publicly disclosed. The company asks prospects to describe their project before providing an initial assessment and scope.

Tools and integrations

Technologies, usage context and compatibility with the existing environment.
Capabilities and reference points
  • Generative AI
  • Intelligent agents
  • Chatbots
  • Data integration
  • Data governance
  • AI-driven analytics
  • Visualization
  • CRM
  • DOOH
  • Peoplesnap

Client case studies and evidence

Publishable case studies, outcomes and verification level.
Evidence level

The website displays references including Chanel, Cartier, JCDecaux, L'Oreal, Planet Fitness and Alain Afflelou, and states that DOOH solutions have been deployed in more than 10 countries.

It also documents Peoplesnap, an event-experience product using real-time AI features.

These claims are provider-published and have not been independently verified by this platform.

Documented items
  • Combined coverage of strategy, AI, data and digital engineering.
  • Public references with international brands in luxury, retail and media.
  • Stated DOOH deployment experience across more than 10 countries.
  • Ability to build digital products and interactive experiences beyond a simple chatbot.
  • Stated presence in Bogotá, Paris and Madrid.

Limitations and points to clarify

Prerequisites, dependencies, risks and questions to resolve before signing.
Risks
  • Budgets and delivery times are not publicly disclosed.
  • References and outcomes are mainly provider-published.
  • Breadth of the offering requires clarifying the actual team and scope assigned.
  • Security, hosting, subcontracting, SLAs and reversibility should be formalized contractually.
To clarify before signing
  • Ask which references specifically involved an AI engagement comparable to the target need.
  • Clarify minimum budget, pricing model and delivery timeline by project type.
  • Identify the team and country from which the engagement will actually be delivered.
  • Scope AI models, data, hosting, security, subprocessors and IP ownership.
  • Formalize maintenance, support, SLAs and reversibility after launch.
Sources and statuses

Sources of public information

Internal comments, private fields and non-public sources are never rendered in this profile.

Public sources

3

Review

Profile not reviewed by the provider

Plan status

Basic plan

This profile has not been reviewed by the provider. Public information is presented cautiously.

Official website of Slash Digital Labhttps://slash-digital.io/

Public source — slash-digital.iohttps://slash-digital.io/en/

Public source for Slash Digital Lab

Signals

Updates & signals

Editorial information, public sources and AIPartnerLens signals related to this profile.

This profile is built from public sources. Factual corrections are free.

Editorial update

August 2026

Latest editorial update

The profile is maintained as part of the AIPartnerLens market map. This signal does not imply traffic metrics or provider validation.

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Correction

August 2026

Factual correction possible

A name, link, category, outdated source or factually incorrect information can be corrected free of charge.

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Methodology

August 2026

Related methodology and glossary

Technical terms used in the profile link back to the B2B AI glossary, and the evaluation framework is explained in the methodology.

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