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11 providers

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Embedded team Mexico Min L0 Clear all

Xertica

Mexico City, Mexico

Google Cloud Vertex AI implementation in LATAM

ML runtime & inf…Data platform en…Cloud migration

records: 1
team: 200+
founded: 2016

DaCodes

Mérida, Mexico

AWS MLOps for forecasting and demand platforms

ML runtime & inf…Data platform en…Cloud migration

records: 1
team: 200+
founded: 2014

ClickIT

Saltillo, Mexico

AWS-centric DevOps and MLOps

ML runtime & inf…Kubernetes opera…Platform enginee…+1 more

records: 1
team: 50-200
founded: 2011

NDS Cognitive Labs

Mexico City, Mexico

Mexico City cognitive AI and cloud services firm; IBM ecosystem partner.

Streaming dataData platform en…Cloud migration

records: 1
team: 200+
founded: 2007

Delta Protect

Mexico City, Mexico

Cybersecurity and compliance-as-a-service for Latin America

Penetration test…SOC & MDR monito…Incident response+2 more

records: 1
team: 50-200
founded: 2019

Xideral

Mexico City, Mexico

CDMX-headquartered software and data engineering nearshore firm; authorized Snowflake trainer.

Data platform en…DataOps & data q…Cloud migration

records: 0
team: 200-500
founded: 2005

XalDigital

Mexico City, Mexico

AWS Premier Tier partner focused on cloud modernization and data analytics.

Cloud migrationData platform en…DataOps & data q…+1 more

records: 0
team: 50-200
founded: 2017

Praxis Mexico

Mexico City, Mexico

Mexican consulting, integration and nearshore development firm founded in 1996.

Cloud migrationData platform en…DataOps & data q…

records: 0
team: 500-1000
founded: 1996

Mobiik

Mexico City, Mexico

Managed Azure-based AI infrastructure

ML runtime & inf…Platform enginee…SRE & load-hold …

records: 0
team: 50-200
founded: n/a

Qualtop

Guadalajara, Mexico

SRE & load-hold …

records: 0
team: 200+
founded: n/a

Nubetia

Monterrey, Mexico

SRE & load-hold …Platform enginee…

records: 0
team: 10-50
founded: n/a

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Filter verified AI builders by what they build, who they serve, how they engage, and their regulatory readiness, and, on a separate axis, by how much they've proven.