LIFE·IN·CO is an AI platform company. We build and deploy proprietary agents on Google Cloud that process, validate, and audit the document-intensive workflows of the Latin American mid-market back office. Millions of records in production. 3 active enterprise deployments.Proprietary AI agents on Google Cloud. Millions of records in production.
Founded March 2026 · Seed Stage · Miami, FL · Bogotá, Colombia
LIFE·IN·CO, Life Investment Consulting, is the conviction that investing in AI infrastructure is the highest-leverage investment a mid-market company can make.
MIT documented that 95% of enterprise generative AI pilots fail with no P&L impact. McKinsey found that companies that do reach production generate 5.8x ROI in 14 months. That gap is not a model problem. It is an architecture problem: pilots built as demos, with no QA pipeline, no auditable validation, no integration with the real operation.
We took the opposite path. Before we had a website we had an engine running in production: DocIntel Agent processed millions of records extracted from more than 100,000 physical fiscal accountability documents across all projects with calligraphic profiling for handwritten forms, drill-down logical validation. On Google Cloud, with Vertex AI and Gemini 2.5. It is not a pilot aspiring to production: it is production aspiring to scale.
The market we serve is the one global platforms ignore: mid-market enterprises in regulated industries across Latin America, where high-stakes document workflows (records, handwritten forms, regulatory files, fiscal supports) still depend on manual data entry. That is where the platform operates. With auditable architecture. With production metrics.
We are a product company with two products: DocIntel Agent, the OCR and document validation engine already running in production, and the Agent Orchestration Platform, the multi-agent layer that connects ingestion, validation, approvals, and reporting into a single automated flow. The platform is deployed through Enterprise Implementation, our go-to-market channel: the same team that built the engine configures it inside your operation, production-ready from day one.
The business model is proprietary aPaaS, not hours or licenses: per-unit, outcome-based, or monthly retainer. Target: USD 1.3M ARR within 18 months. We run a select number of simultaneous deployments because each one goes into audited production, not onto a consultant waiting list.
The decade will not be won by the companies that evaluated AI. It will be won by the ones that put it to work.
62% of companies using AI have never left the pilot phase. Our metric is different: documents processed in real workflows, operational error rate, active deployments. Millions of records in real workflows and 3 active deployments. If an agent is not running inside the client's operation, for us it does not exist.
The platform does not trust a single inference: extraction with Gemini 2.5 Flash, high-stakes validation with Gemini 2.5 Pro, drill-down logical validation, and two-model post-run rescue. End-to-end traceability. In regulated industries, an unaudited output is not automation: it is risk.
Gartner measured the jump from 5% to 40% in enterprise AI agent adoption in a single year. AI-centric companies report 20-40% reductions in operating costs. Every week your back office processes documents by hand is a week your automated competitor pulls ahead. That is why a deployment takes weeks, not quarters.
LIFE·IN·CO is the group's core business: an AI platform company whose product processes the document workflows of regulated industries. But the agents do not understand fiscal records, regulatory frameworks, or technical files by accident: that domain depth comes from the founding group's practices.
The group operates three domain practices (legal and regulatory, engineering and forensics, architecture and spaces) that have spent years working inside the industries the platform automates. Each practice is both a source of domain knowledge for the agents and a distribution channel into clients that already trust the group.
That is the structural advantage: global platforms have the technology but not the Latin American regulatory domain. Local consultancies have the domain but do not build software. We have the engine and the domain under one roof, and the engine is already in production.
DocIntel Agent · Agent Orchestration Platform · Enterprise Implementation · Applied R&D.
The group's core business. Builds and deploys the proprietary AI agents on Google Cloud and operates the enterprise deployments in production.
The founding group's legal and financial practice.
Depth in contracts, compliance, and sector regulatory frameworks. The domain knowledge behind the agents that process compliance files and fiscal supports.
The founding group's engineering and forensics practice.
Expert judgment in civil engineering and claims processes. The technical domain behind the agents that process infrastructure files and supports.
The founding group's architecture and design practice.
Architectural design, renovations, and interiors. The group's spaces practice, with its own operation and portfolio.
If your back office processes high-stakes documents in a regulated industry, the platform already knows how to read your workflow. The demo proves it on your real documents, not on a sample dataset.
Build the agentic layer that runs the document-intensive back office of the Latin American mid-market. Not the biggest platform: the one that runs in audited production in industries where an error costs a regulatory sanction.
Be the platform that processed Latin America's document transition: millions of regulated-industry documents running through auditable agents, in companies that stopped typing and started governing their processes. USD 1.3M ARR within 18 months is the first milestone, not the horizon.
I spent years watching mid-market companies with all the potential, talent, market, capital, get trapped in AI pilots that promised everything and never reached production. Budget consumed, teams frustrated, and the back office unchanged: people typing documents by hand.
The problem was never the technology. It was that nobody built the complete architecture: the QA pipeline, the auditable validation, the integration with the real operation. The demos impressed the boardroom and died on the first handwritten form.
So we built the engine first. DocIntel Agent processed millions of records extracted from more than 100,000 physical fiscal accountability documents across all projects with calligraphic profiling before this page existed. In March 2026 I founded LIFE·IN·CO as an AI platform company to scale that engine across the Latin American mid-market.
LIFE·IN·CO, Life Investment Consulting, is the conviction that investing in AI infrastructure is the highest-leverage investment a mid-market company can make. The name is the thesis.
If your company is ready to see the platform running on its own documents, let's talk directly.
No pitch. No deck. No reheated frameworks. You bring your real document types and watch the platform process them on Google Cloud: ingestion, validation, audit, and reporting. If your workflow does not fit, we tell you by minute ten.