AI systems that deliver measurable outcomes.
We design, build, and deploy artificial intelligence systems that transform how organizations operate — from strategy to production, with the rigor your organization demands.
From AI ambition to operational reality
We work where it matters: at the intersection of organizational strategy, data infrastructure, and applied machine learning.
AI Strategy & Roadmapping
Identify where AI creates real organizational value. We prioritize use cases by ROI, feasibility, and risk — then build the execution roadmap.
Custom AI Solutions
LLM applications, intelligent agents, predictive models, and decision systems engineered for your operations — not generic demos.
Process Automation
Automate high-volume workflows across operations, finance, and customer service with AI systems that integrate into your existing stack.
Data & Infrastructure
Modern data foundations that make AI possible: pipelines, governance, and architecture built for scale and security.
AI Governance & Risk
Deploy responsibly. Compliance frameworks, model monitoring, and risk controls aligned with emerging AI regulation.
Enablement & Training
Executive briefings and hands-on team training that turn your workforce into an AI-native organization.
Our Team
Rafael Montoya
Bridges organizational strategy and AI execution. His work focuses on helping executive teams move from ambition to accountable outcomes.
Camila Ríos
Turns AI potential into prioritized roadmaps. She works directly with leadership to identify where intelligent systems create lasting competitive advantage.
David Chen
Designs the models that run in production — not just in notebooks. His background spans predictive systems, anomaly detection, and real-time decision engines.
Sofía Ibarra
Specializes in taking language models from prototype to scale. She handles the infrastructure, pipelines, and integration work that most teams underestimate.
James Whitfield
Ensures AI systems hold up under scrutiny. He builds the control frameworks, audit trails, and monitoring layers that regulators and boards expect to see.
A disciplined path from pilot to production
Diagnose
Deep assessment of your data, processes, and opportunity landscape. We quantify the value at stake before writing a line of code.
Design
Solution architecture, success metrics, and risk controls defined upfront. Every engagement has a measurable target.
Deploy
Rapid, iterative builds with production-grade engineering. Working systems in days to weeks, depending on scope.
Scale
Continuous optimization, monitoring, and expansion across the organization — with your team trained to own it.
Based on completed client engagements, 2024–2025. Cost reduction and ROI figures represent median outcomes across projects of comparable scope.
Production-Grade Delivery: share of engagements that reached live production on scope, on time, and without post-launch rollback or regression.
From manual bottleneck to intelligent pipeline
Automating customs documentation for a cross-border freight operator
A cross-border freight forwarder processed thousands of customs and shipping documents every month — manually. Each document required classification, data extraction, and validation against shipment records, consuming hours of skilled staff time daily and producing costly errors at the border.
TarkusPro designed and deployed a document intelligence pipeline built on Claude, integrated directly with the client’s transportation management system. The system classifies incoming documents, extracts and validates critical fields, and flags exceptions for human review — keeping people in control of every edge case.
Client identity withheld under confidentiality agreement.
Defect detection on a high-speed production line — and what we got wrong first
The initial model went live in week five and immediately generated too many false positives. Line supervisors began overriding alerts within days, and trust in the system collapsed before it had a chance to prove value. We paused, diagnosed the root cause — insufficient training data for rare defect classes — and rebuilt with a human-in-the-loop validation step for low-confidence predictions. The second deployment held. Final timeline was eleven weeks, not the six we projected.
Cutting loan decision cycles with intelligent document review
A regional commercial bank was losing deals to faster competitors. Credit analysts spent the majority of their time extracting and structuring data from incoming credit files — work that required precision but not judgment. TarkusPro built an LLM-powered review layer that extracts, structures, and risk-scores credit memos, routing only exceptions to the analyst desk.
Reducing no-shows and recovering appointment capacity
A multi-site outpatient network was losing 22% of its daily appointment capacity to no-shows — a problem that worsened after expanding to new locations. TarkusPro built a predictive no-show model integrated with the client’s EHR, enabling scheduling teams to proactively fill at-risk slots and adjust staffing before gaps formed.
All client identities withheld under confidentiality agreement.
What our clients say
They were the first consultants who told us what not to build. The assessment alone saved us from a six-figure mistake, and the system they did build has run without incident since deployment.
We had evaluated three larger firms. TarkusPro was the only one that put engineers in the room from the first call. Their team understood our data reality before proposing anything.
The document automation they delivered paid for itself within the first quarter. What impressed us most was the governance work — our auditors signed off without a single objection.
They embedded with our team from day one instead of working in isolation. By the time we went live, our own staff could explain exactly how the system worked.
We expected a pilot; we got a production system our team now operates independently. The training they left behind was as valuable as the software itself.
Built for complex, high-stakes operations
Manufacturing & Industrial
Predictive maintenance, quality control, supply chain intelligenceFinancial Services
Risk modeling, fraud detection, intelligent document processingHealthcare & Life Sciences
Clinical operations, patient flow, research accelerationRetail & Consumer
Demand forecasting, personalization, inventory optimizationLogistics & Transportation
Route optimization, fleet intelligence, capacity planningEnergy & Utilities
Asset optimization, demand prediction, grid analyticsYour competitors are already deploying AI. The question is who does it right.
Book a confidential consultation with our team of specialists. We will assess your highest-value AI opportunities — no obligation.