AI & Machine Learning Company in Miami

Bilingual deployment is the quiet cost driver on Miami ML work: a scoped AI proof of concept at Miami rates, a custom production ML model (demand forecasting, fraud scoring, churn prediction, document extraction tuned for LATAM document formats), or full production AI systems with RAG, multiple models, fine-tuning, and bilingual deployment. Scope drivers include data audit, a baseline model, bilingual evaluation if applicable, and a hosted demo. Miami rates sit below New York and San Francisco but above Tampa or Orlando because of the Citadel and RBI talent premium and the bilingual specialisation. Florida's lack of a state income tax keeps engineering retention costs competitive.

We do not rely on English-tuned models with translation layers, which is the most common failure mode for US teams entering Latam. For Brazilian Portuguese we evaluate Maritaca's Sabia family and Llama 3 fine-tunes on pt-BR corpora, because Sabia was purpose-trained on Brazilian text and consistently outperforms translated English models on Brazilian legal, medical, and colloquial benchmarks. For Spanish we use Mistral Large, Claude Sonnet, and Llama 3 fine-tunes on country-specific corpora (Mexican Spanish differs meaningfully from Argentine, Colombian, and Chilean Spanish in vocabulary and register). Our evaluation harnesses use native pt-BR and es-LA test sets sourced from local universities and human annotators, not English benchmarks run through Google Translate.

The Florida Information Protection Act (FIPA), codified at Fla. Stat. § 501.171, is narrower than California's CCPA and CPRA. FIPA requires breach notification within 30 days, reasonable security measures, and secure disposal of personal information, but it does not grant Florida consumers the same access, deletion, and opt-out rights CCPA does. Florida's separate Digital Bill of Rights (effective July 2024) adds some consumer rights but applies only to very large controllers (USD $1B in revenue plus other thresholds). For most Miami AI projects FIPA is the operative state regime, with CCPA still in scope for any California users and HIPAA in scope for health data. We map all three in discovery and ship a data flow diagram suitable for outside counsel.

Yes, within scope. We do not compete with Citadel's internal research, but we have shipped execution analytics, transaction cost analysis, market-impact modelling, and surveillance ML for fintechs and brokerages hiring from the post-migration talent pool. Engagements stay onshore for sensitive trading workloads, run on AWS us-east-1 or dedicated colocated infrastructure when latency matters, and ship with the kind of run book, deterministic replay, and audit trail FINRA and SEC examiners expect. We have introduced clients to PhD-level researchers in our Edmonton and Chandigarh hubs for specialised reinforcement learning and time-series problems when budgets and timelines justify it.

The 2023 SAG-AFTRA TV/Theatrical contract and the 2024 commercials contract require informed, specific, written consent for digital replicas of performers, with separate consent and compensation negotiations for each use. Miami's growing creator economy and Wynwood production scene now regularly run into these clauses, particularly on synthetic voice, face, and dub-into-Spanish-or-Portuguese workflows. Our content production pipelines ship with explicit consent capture, per-use logging, watermarking of synthetic media (aligned with the C2PA standard), and a compensation tracking workflow your business affairs team can hand to a SAG-AFTRA business agent. Final negotiation stays with your legal counsel.

Yes. The NIST AI RMF (AI 100-1) has become the de facto baseline for US enterprise AI procurement, particularly for clients selling into federal, financial, or healthcare buyers. Every Codazz engagement runs through the Map, Measure, Manage, and Govern phases, producing a documented risk profile, a measurement plan (accuracy, fairness, robustness, security), and an ongoing management cadence with named owners. For high-impact use cases we add the NIST Generative AI Profile (AI 600-1) controls. Documentation lands in your enterprise risk repository in a format compatible with vendor-risk reviewers.

Most Miami AI workloads default to AWS us-east-1 (Northern Virginia) as the primary region and us-east-2 (Ohio) as the secondary. For Latam-facing inference we sometimes deploy to us-east-1 only for São Paulo and Bogota latency reasons, or to AWS sa-east-1 (São Paulo) when Brazilian LGPD obligations require Brazilian residency for personal data of Brazilian users. For Mexico we keep workloads in us-east-1 unless the client has specific INAI or sector-specific residency requirements. We document residency in a data processing agreement aligned with FIPA, CCPA where it applies, LGPD for Brazilian data, and Mexico's Federal Law on Protection of Personal Data Held by Private Parties.

A typical Miami bilingual chatbot project (Spanish and Portuguese support, integration with one or two backend systems, NIST AI RMF documentation) takes ten to sixteen weeks from kickoff to production. Week 1 to 3 is discovery, persona work, intent inventory, and bilingual corpus collection from your historical chat logs and CRM tickets. Week 4 to 9 is RAG pipeline build, fine-tuning if needed, bilingual evaluation harness with native pt-BR and es-LA annotators, and prompt injection defence testing. Week 10 to 14 is integration (Mercado Libre, Rappi, Lemon, or your own backend), human handoff workflows, and load testing for Latam peak hours. Week 15 to 16 is staged rollout with monitoring. We have shipped to this cadence for Miami fintechs serving Brazilian, Mexican, and Colombian users.