AI engineered into your systems, not beside them

Highly custom company-expert AI bots delivered this month, fully yours to own, no recurring consultant fees

Case Study

AI built into any app in weeks, not months.

Ingentica isn't just a product: it’s full-service development for building AI into complex workflows other plug-and-go tools can’t reach, and automating company-specific workflows the ready-made tools aren't perfectly designed for.

Operating without AI will soon be like working without the internet. An LLM subscription alone does not create a production-ready system that understands your business and workflows. We deploy company expert AI in your environment, grounded in your documentation, governed by permissions, and connected to your systems. This delivers you custom workflow streamlining, such as document processing, risk scoring, faster answers, agentic automation, and measurable gains now.

Finance • Mortgage Underwriting • Healthcare

Enterprise-Grade Deployments

We specialize in connecting AI systems to internal workflows regular AI systems don't reach. We integrate company-specific rules, permissions, applications, and approval paths so assistants can process documents, update records, trigger actions, and escalate exceptions safely, giving your team an agentic assistant.

Deep Integration

The bots we deploy serve as internal company experts with knowledge of your policies, documentation, organizational structure, and processes. We go a step further by facilitating departmental coordination and careful master-prompt engineering to ensure the AI is thoroughly aligned with policies and guidelines.

Subject Mastery

Your AI workloads and sensitive content stay within your environment. Deployments integrate with your existing identity, permissions, networking, and audit controls and are designed around established AI risk-management practices, including NIST AI RMF, OWASP GenAI guidance, MITRE ATLAS, and ISO/IEC 42001.

Security First

Background & Certifications

Ingentica was founded by Lucas Jacaruso, an experienced technologist and machine learning researcher. Lucas has authored peer-reviewed scientific publications on natural language processing, machine learning, AI, and computing, domains that all converge here at Ingentica. He has participated in machine learning research initiatives based at Harvard University (see publications) and has over 7 years of experience helping companies reach technological currency, going beyond "consulting" and always prioritizing hands-on development and concrete implementations. In his free time, Lucas loves to fly as a private pilot and compose music.

Cloud Certifications

Verified expertise in architecting high-availability, secure environments on Azure and AWS ecosystems.

Scientific Publications

Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data Published in Informatics in Medicine Unlocked, 2021

Commissioning an All-Sky Infrared Camera Array for Detection of Airborne Objects
Published in MDPI Sensors, 2025

Insights into the Nutritional Prevention of Macular Degeneration Based on a Comparative Topic Modeling Approach
Published in PeerJ Computer Science, 2024

A Method of Trend Forecasting for Financial and Geopolitical Data: Inferring the Effects of Unknown Exogenous Variables
Published in Journal of Big Data, 2018

See Publications

Proven Industry Experience

Leveraging expertise building enterprise-scale solutions for global leaders in finance, healthcare, and engineering.

Custom Assistants

Other copilots sit next to your work and excel at broad tasks like emails or web search. However, they lack the visibility to see your custom app’s screen or the capability to act directly inside your specific company systems.

Your Advantage With Ingentica

Enterprise Search

Bots answer company-specific questions, and also work at the screen level to integrate with your custom internal applications that API-only tools can't touch. It goes beyond answering questions and turns answers into actions.

In-House Deployment

Building in-house forces your team to spend months rebuilding what Ingentica already ships. With Ingentica, you still own the final implementation fully in-tenant, but get there in weeks.