AI & Machine Learning Company in Mexico City

A Mexico City ML project is quoted against how much of the pipeline you want owned end to end: a scoped AI proof of concept at CDMX rates, a custom production ML model (credit scoring, fraud detection, document extraction on Mexican IDs), or full production AI systems with RAG, multiple models, fine-tuning, and CNBV-facing compliance artefacts. Scope drivers include data audit, a baseline model, and a hosted demo. CDMX rates sit below U.S. coastal markets but above secondary LATAM cities because of the Mercado Libre, Konfio, and Bitso talent premium. We invoice in MXN or USD and give fixed-fee proposals rather than open T and M estimates.

The Ley Federal de Proteccion de Datos Personales en Posesion de los Particulares (LFPDPPP) is Mexico’s primary private-sector data protection law, supervised by INAI. It requires lawful basis, purpose limitation, an aviso de privacidad (privacy notice) for every data subject, rights of access, rectification, cancellation, and opposition (ARCO rights), and breach notification. INAI is being restructured under the Sheinbaum administration with proposed absorption into other federal bodies, but the underlying obligations remain in force. Our discovery phase produces an LFPDPPP data inventory, an updated aviso de privacidad in Spanish, an ARCO request fulfilment workflow, and a cross-border transfer assessment if the model uses U.S. or European infrastructure. Sensitive data categories (health, biometric, financial) trigger additional safeguards including encryption at rest and pseudonymisation during training.

Yes, and this is where CDMX projects routinely fail when shipped by U.S. or Spanish (Iberian) teams. Mexican Spanish has distinct vocabulary (chamba, lana, padre, neta), pronoun usage (ustedes universal, no vosotros), regional idioms across CDMX, the Bajio, the North, and Yucatan, and Nahuatl-influenced loanwords (chocolate, aguacate, elote, popote) that off-the-shelf LLMs misuse or fail to recognise. We fine-tune Llama 3 and Mistral on Mexican-Spanish corpora (CONACYT linguistic datasets where licensable, Mexican news and government text, customer transcripts under proper consent), evaluate against Mexican-specific benchmarks rather than Castilian or Argentine ones, and ship dialect-aware prompt templates. For consumer-facing applications we test with native Mexican speakers across regions before launch, not after.

The Ley para Regular las Instituciones de Tecnologia Financiera (Ley Fintech) was the first regulated fintech sandbox in Latin America, supervised by CNBV (banking regulator), Banxico (central bank), CONDUSEF (consumer protection), and SHCP. Licensed Instituciones de Tecnologia Financiera (ITFs) (including Electronic Payment Funds Institutions and Collective Funding Institutions) must demonstrate model governance, fraud and AML controls, and operational risk management proportional to scale. Our fintech AI engagements produce CNBV-aligned model documentation, an AML and PEP screening pipeline that integrates with the Listas de Personas Bloqueadas from SHCP UIF, KYC flows that handle INE, CURP, and RFC verification, and challenger model testing for credit and fraud scoring. Open finance integrations layer on top of Belvo or Prometeo, with PIA documentation INAI accepts.

CDMX is in Central Standard Time, the same as Chicago and Dallas, with a synchronous half-day overlap to both U.S. coasts. The IMMEX framework supports export-oriented service delivery to U.S. clients with VAT relief, and Mexican AI engineering rates run materially below U.S. metros while staying above lower-cost LATAM alternatives, reflecting the depth of CDMX talent (Mercado Libre, Konfio, Bitso alumni). We pair CDMX engineering with our Chandigarh capacity for follow-the-sun coverage when the workload demands it, giving U.S. clients a nearshore primary, an India backstop, and a North American legal contracting structure through our Edmonton headquarters. For U.S. enterprises where SOC 2 and HIPAA matter, we keep sensitive data inside U.S. regions and CDMX engineers connect through audited remote access.

Options have expanded materially. Azure Mexico Central (Queretaro, live 2023) offers full in-country Azure services including Azure OpenAI for supported models. AWS Mexico Local Zone (Queretaro, launched 2024) offers limited services with low latency to CDMX users and a clearer LFPDPPP residency story than U.S. East. GCP routes Mexican traffic through us-south1 (Dallas), with the cross-border transfer documentation INAI expects in place. We default to Azure Mexico Central for CNBV-regulated fintech and health data, AWS Local Zone for latency-sensitive consumer apps, and U.S. regions for non-sensitive internal tooling under documented PIA. The model card and aviso de privacidad both state the residency choice in Spanish.

Yes. We fine-tune Llama 3 (8B, 70B), Mistral (7B, Mixtral), and Qwen on client-provided Mexican-Spanish corpora using LoRA and QLoRA for efficient adaptation, full fine-tuning when the data volume justifies it, and DPO or RLHF for instruction tuning. Training runs on Azure Mexico Central H100 instances where in-country residency is required, or on AWS p4d / p5 instances in us-east-1 or us-west-2 when cross-border is contractually fine. We use Hugging Face’s TRL stack, Axolotl, and Unsloth depending on the run profile. Outputs are versioned in MLflow with bilingual model cards and evaluation against both English and Mexican-Spanish benchmarks. Licensing of training data is documented for INAI and any downstream auditor.

The Estrategia de Inteligencia Artificial Mexico was first published in 2018 under the Pena Nieto administration and was effectively paused under AMLO from 2018 to 2024, with funding for federal AI initiatives reduced and CONACYT (now CONAHCYT) deprioritising the program. The Sheinbaum administration, which took office in October 2024, has signalled interest in restarting elements of a national AI agenda, particularly around productivity, healthcare, and education applications, though concrete legislation has not yet been enacted. In the meantime, sectoral regulators (CNBV for fintech, COFEPRIS for health, INAI for data protection) carry the substantive AI oversight burden. We design every CDMX engagement to be forward-compatible with the AI-specific legislation that is likely to follow the broader LATAM trend toward EU AI Act-style risk tiering.