Information is scattered across systems, documents, and platforms. When it's time to make a decision, teams spend more time searching for and preparing data than actually using it.
Signs that your data infrastructure isn't ready for AI
Building artificial intelligence solutions that deliver real results starts with a solid foundation. Some organizations need to organize their data before taking the first step. Others already have the foundation and are looking to apply AI or automate processes. We meet you where you are, with the capabilities your project needs.
We integrate and structure your organization's data to make it accessible, reliable, and ready to generate value. This means connecting systems and databases that currently operate in silos, processing and cleaning information — both structured and unstructured — and building the infrastructure that allows you to query and analyze data at the speed your business demands. Without this foundation, any AI or automation initiative starts at a disadvantage.
Having structured data is not the same as having data prepared for artificial intelligence. We work on the cleansing, contextualization, and enrichment of information so that models can operate with data that is relevant, reliable, and aligned to your business domain. This step determines whether an AI initiative delivers real results or remains a pilot with no impact.
With prepared data in place, we apply AI to solve concrete business problems. This ranges from intelligent document processing to building recommendation engines, conversational assistants, and predictive models that anticipate behavior. We select and contextualize models based on the domain and available data, not the trend of the moment. Always in service of a concrete business objective.
We systematize information-intensive processes that currently depend on manual effort. From automated document processing and generation and internal workflows, to real-time data integration, agent orchestration, and automated report and insight generation.
Data and the intelligence generated from it need to reach decision-makers in a clear and actionable way. We design dashboards, interactive analytics platforms, and automated reports that allow users to explore, compare, and act on information without relying on technical profiles. The goal is to make the impact of the entire process visible to the business.
Security, traceability, and data quality are not an afterthought — they are part of the design from day one. We define access policies, quality standards, and compliance frameworks that enable your organization to operate with confidence, especially in regulated industries.
From financial services to healthcare and academic research, we help organizations make better decisions with their data.
From hours to minutes: AI-powered contract automation in financial services
Keystone managed a growing volume of investment contracts manually: review, classification, and data entry, document by document. The process took hours, produced errors, and limited the team's ability to scale. We implemented a document automation solution that uses AI-assisted OCR to ingest, classify, and extract structured data from PDFs and scanned documents. Processing went from hours to minutes per document, manual errors were eliminated, and the team was able to redirect their time to higher-value strategic tasks.
Connecting businesses with generative AI at regional scale for the IDB
ConnectAmericas brought together hundreds of thousands of companies across Latin America and the Caribbean, but partner discovery relied on static filters and keyword searches that limited the relevance of connections. We designed and developed ADA, a business matchmaking platform combining generative AI, semantic search, and affinity models through a conversational interface capable of interpreting real business intent. The MVP was developed in approximately three months, in collaboration with Microsoft AI Lab. Today, ConnectAmericas is a regional benchmark in AI-powered business matchmaking.
Hundreds of millions of data points turned into public policy decisions for Harvard
Harvard's Geographic Insights Lab works with high-granularity geospatial data on health and population in India, and the scale and complexity of the information opened a unique opportunity: turning that data into a real tool for public policy decision-making. We built India Policy Insights, an interactive geospatial visualization platform developed with .NET, PostgreSQL, and React, capable of processing hundreds of millions of geographic entities without compromising performance. The platform enables researchers, journalists, and policymakers to explore and compare complex data directly. Winner of the AAG Health Data Visualization Award 2025.
Fewer emergencies, better follow-up: an AI-powered healthcare platform
Healthcare organizations operated with fragmented tools and reactive follow-ups that limited visibility into care programs and made it difficult to scale without adding operational complexity. We built a unified patient engagement platform integrating automated calls, SMS, conversational AI with natural language understanding, and real-time analytics, on a cloud-native, HIPAA-compliant architecture. The platform is used today by organizations including AARP, University of Miami Health System, and Jackson Health System. Results: 35% improvement in patient follow-up, 20% reduction in avoidable emergency visits, and 4.8/5 average patient satisfaction.
Tools born from solving real problems in data and AI projects — now available to power yours.
Continuous system integration and AI agent orchestration
Weavee is an infrastructure platform designed to keep multiple systems connected, traceable, and operational on an ongoing basis. Unlike traditional middleware, it doesn't treat integration as a one-time event but as a permanent responsibility — absorbing technology changes without creating friction or relying on key individuals. Its Agent Lattice Hub module enables autonomous orchestration of artificial intelligence agents with your organization's core systems.
Intelligent organizational knowledge search
Datialog is a data management and query platform that works as an agent capable of understanding context and reasoning over structured and unstructured information. It connects natively with tools like Slack, Teams, or Jira, and its vectorized engine delivers exact, contextualized answers in seconds — without being limited to keyword searches. This eliminates the need to dig through documents or constantly rely on the same people for answers.
Automated code generation for integrations
AgenteLinko is an artificial intelligence agent specialized in integrations that generates automated code ready to be injected into iPaaS and Low-Code platforms from business parameters. It queries API technical documentation in real time and produces optimal code without manual intervention, reducing implementation times from weeks to minutes. Unlike generalist AIs, AgenteLinko delivers final, directly usable code and automatically detects changes in external APIs to keep workflows operational.
Every project has different needs. That's why we work with a technology ecosystem that allows us to design the most suitable solution for each case.
We take the time to understand your business before proposing a solution. That changes the outcome of any project. Behind every solution is a specialized technical team, a methodology designed to reduce risk, and a genuine commitment to your business results.
Before building, we make sure we're solving the right problem. This avoids waste and ensures that technology creates real business impact.
We work with a structured five-stage process — from readiness assessment to scaling — designed to reduce risk and accelerate measurable results.
Before talking about models or tools, we prepare the foundation. Accessible, structured, and governed data is the real enabler of any AI initiative.
Teams in Uruguay, Argentina, and Colombia, working in real time with your team. Seamless collaboration, without the barriers of traditional outsourcing.
It's the most common situation. That's why data engineering is the first step in our approach. You don't need to have everything figured out to start — what matters is having a clear diagnosis and an action plan to move forward progressively.
No. Our teams integrate with yours and bring the technical capabilities your project needs, without you having to build a data department from scratch. We work as an extension of your organization.
It depends on the scope, but we work with an early validation approach that prioritizes fast results. Projects like the AI-powered business matchmaking platform for the Inter-American Development Bank reached a functional MVP in approximately three months.
It's more common than you'd think. In our experience, most projects that don't achieve the expected results fail due to an approach problem, not a technology problem. That's why our process starts by understanding the business problem before defining the technical solution.
Yes. Weavee, our infrastructure platform, is designed to connect systems, keep them traceable, and keep them operational on an ongoing basis. Unlike traditional middleware, Weavee doesn't treat integration as a one-time event but as a permanent responsibility, absorbing technology changes without creating friction or relying on key individuals. Its Agent Lattice Hub module also enables autonomous orchestration of artificial intelligence agents with your organization's core systems.
Datialog, our intelligent data management and query platform, is designed exactly for that. It works as an agent capable of understanding context and reasoning over structured and unstructured information. It connects natively with tools like Slack, Teams, or Jira, and its vectorized engine delivers exact, contextualized answers in seconds — without being limited to keyword searches. This eliminates the need to dig through documents or constantly rely on the same people for answers.
That's exactly what AgenteLinko does. Our AI agent specialized in integrations generates automated code ready to be injected into iPaaS and Low-Code platforms from business parameters. It queries API technical documentation in real time and produces optimal code without manual intervention, reducing implementation times from weeks to minutes. Unlike generalist AIs, AgenteLinko is 100% specialized in integrations and delivers final, directly usable code.
We work with a leading technology ecosystem that we select based on the needs of each project. This includes Microsoft Fabric, Power BI, and Azure for data infrastructure and analytics, OpenAI and Azure Document Intelligence for artificial intelligence, Databricks for data engineering and processing at scale, and AWS QuickSight for visualization and reporting. Technology choices always respond to the business challenge, not the trend of the moment.
We work with organizations across multiple sectors, including financial services, multilateral organizations, education, and research. What sets us apart is the ability to understand the context of each industry and design solutions tailored to its specific data challenges.
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