Meet us at Gartner Data & Analytics (Mar 9–11). Book a meeting ->

Mar 9–11

Booth #210

Tryolabs @ Gartner Data & Analytics Summit

Your hands-on AI delivery partner.

Book a 1:1

Live at Gartner

Meet the team on site

These are the Tryolabs team members attending the summit.
You'll find them at Booth #210 throughout the event.

Alan Descoins

Chief Executive Officer (CEO)

Jennifer Esteche

Chief Operating Officer (COO)

Florencia Sanguinetti

Marketing Analyst

Diego Ventura

Head of Sales

Tomás Saranovich

Commercial Analyst

The production gap

Why 95% of AI pilots fail to reach production

AI rarely fails because of the model. It fails in the gap between prototype and production. The real cost? Lost momentum, lost trust, and projects that never move forward.

No production path from day one

Pilots built without deployment in mind work in notebooks but break in real systems. Without a production mindset, handoff becomes a rebuild.

Data readiness assumed, not verified

Data that works for a PoC often fails at scale. Discovering this mid-delivery is costly and disruptive.

Success metrics that don't translate

Test accuracy isn't business impact. When pilot metrics don't match production goals, teams celebrate wins that don't matter.

No plan for team ownership

When the vendor leaves, who runs the system? Without ownership and knowledge transfer, pilots stall after launch.

Adoption treated as a post-launch concern

Even the best model fails without user trust and change management. Adoption must be built in from day one.

Our work

AI that ships.
Built to scale.

Turning PoCs into scalable production systems with measurable business impact.

Case study

Dynamic pricing
on two-sided market

For a leading online photography equipment retailer, Tryolabs built an automated pricing system to dynamically adjust buying and selling prices across 60,000 SKUs.

By scraping competitor data and optimizing inventory management, the solution delivered a 10% increase in gross profit while enhancing customer experience through "instant quotes" and transparent pricing.

/pages/solutions/price-optimization/case-3.png

10%

increase
in gross profit

Case study

Airline MLOps
migration to Vertex AI

A major airline faced scalability and cost challenges with their MLOps platform.

We migrated their operations to Vertex AI, creating a scalable deployment pipeline. This included organizing model registries and implementing advanced CI/CD practices.

In partnership with

Case study

Margin boost with
intelligent pricing

For a brick & mortar luxury retailer with +9,000 employees and 160M customers per year, Tryolabs developed a price optimization solution to replace a traditional pricing process.

Deployment against a control store showed a 28% increase in gross margin for the selected SKUs and significantly reduced out-of-stock related losses.

28%

increase
in gross margin

Case study

Transforming retail ops with Databricks & GCP

A luxury retailer serving 160 million customers struggled with outdated processes and isolated workflows.

We leveraged MLOps to transform their operations, implementing robust version control and optimizing infrastructure with Databricks on GCP, enhancing adaptability and efficiency.

In partnership with

How we work

Strategic AI Teams.

We take ownership of delivery. That means senior-led teams, clearly defined outcomes, and accountability that extends well beyond the handoff.

Senior-led from day one

Every engagement is led by engineers with production AI experience. No juniors figuring it out on your timeline. No hidden teams behind a single point of contact.

Outcome accountability

We scope to outcomes, not hours. If the definition of done is blurry, we make it concrete before we start — and we're accountable to it throughout.

Built to last without us

We measure success by how well your team can run the system after we leave. Documentation, training, and clean handoffs aren't optional — they're built into every engagement.