Accounting · Accounting firms and administrations
Accounting automation: organized source documents and tax filings without manual data entry
Manual entry of source documents, repetitive checks, incomplete documentation, delays closing periods, typing errors, and no visibility into each client's status.
Read the case →Healthcare · Nursing homes and clinics
AI in healthcare: clinical and operational automation for nursing homes and clinics
Information scattered across WhatsApp, internal records, and manual reports: risk of omissions, poor per-patient traceability, and excess administrative load for the care team.
Read the case →Customer service · Telecommunications and services companies
AI chatbots for customer service in call centers
High interaction volume, repetitive inquiries, wait times, customer frustration, and rising operating costs.
Read the case →Public sector · Public-sector agency
State modernization: intelligent traceability of aggregate transport
Overseeing territorial operations with incomplete data, scattered evidence, and poor traceability made public control and detecting non-compliance harder.
Read the case →Finance · Financial sector and investors
AI for finance: the Argentine market in real time, in one place
The market produces data minute by minute — news, reports, chats, audio, private documents, and investor signals — and information overload delays analysis and increases the risk of reactive decisions.
Read the case →Business management · Companies running operations on Odoo
Systems integration: intelligent CRM and Odoo connected to the business
CRM and ERP information fragmented across systems that did not communicate, with heavy technical dependence to get simple answers about the business itself.
Read the case →Industry · Semiconductor industry
Industrial computer vision: automatic detection of microscopic defects
Microscopic defects, inspections that do not scale, fragmented technical information, and slow answers to specialized questions in high-precision environments.
Read the case →Agribusiness and energy · Agribusiness and energy sector
Data analytics for agribusiness and energy: from scattered data to decisions
Scattered production, geospatial, and regulatory data that made it hard to make operational and strategic decisions with predictability.
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