Your engineering partner for applied AI, Gen AI, data & intelligent edge systems

We build intelligence

What clients say about us

Deb Hope
Deb Hope
EVP at Data Analytics Platform
Numa Biosciences
Your meticulous attention to detail and unwavering commitment has set a benchmark for excellence. Your technical prowess and innovative problem-solving skills have been nothing short of extraordinary.
dimer health logo
Sarig Reichert
Co-Founder
Dimer Health
If you're looking for a team of skilled professionals who are not just fun to work with but truly feel like part of your company—and who genuinely care about your success—ITRex is the team for you
Jeff Block
Jeff Block
VP of Process and Technology
PotentiaMetrics, Inc.
ITRex’s team are experts in their trade. The software development they provided was critical to advancing the project to the next level.
Daniel Schuler
Daniel Schuler
CTO
Hyginex
When you hire them, you're actually going to get something valuable.
David Berger Live Aware Labs
David Berger
CTO
Live Aware Labs
The team at ITRex is a solution oriented and efficient partner delivering robust technical solutions without needing a lot of support. Their work gave us the ability to scale our development capacity to greatly improve Live Aware’s customer value.
Ashley Lewis
Ashley Lewis
Director of Product Management
Dollar Shave Club
ITRex is an outstanding partner. They don't even feel like a contractor, but more like a fully integrated team.

How we can help you

01

Applied AI strategy

ITRex helps mid-market and enterprise teams translate AI ambition into decisions they can act on. We combine readiness assessments, AI/Gen AI discovery workshops, product discovery, and PoC development into a structured path from idea to production—so your AI investment targets real business outcomes, not promising experiments that can't be scaled.

02

AI & Gen AI solutions

ITRex develops custom AI and Gen AI solutions that shine in production—AI copilots, autonomous agents, and RAG systems powered by GPT, Gemini, Claude, Llama, and Mistral. We apply model fine-tuning, prompt engineering, and model validation and testing to keep outputs accurate and infrastructure costs predictable. This work draws on robust capabilities in machine learning, deep learning, NLP, computer vision, and intelligent process automation—including edge deployments where compute resources are limited.

03

AI-ready data platforms

ITRex builds the data infrastructure that enterprise AI actually requires. As Databricks and Snowflake partners, we conduct data platform assessments, design modern data architectureswarehouses, lakes, and lakehouses—and handle data integration across complex enterprise estates. We also engineer vector databases (Pinecone, Weaviate, FAISS) for production RAG systems and put governance, security, and data quality controls in place so your models and dashboards run on data you can trust.

04

AI-native engineering

We engineer high-performance software tailored to your enterprise requirements, applying AI throughout the development lifecycle—from product viability analysis to deployment—to accelerate delivery and maximize value. ITRex offers both full project support and specific AI-enhanced skill sets, covering business analysis, AI-native design, development, application testing, and post-launch enhancements across platforms.

05

LLMOps & AI governance

Deploying AI is one challenge; keeping it accurate, compliant, and cost-efficient in production is another. ITRex builds the operational backbone for both—automated LLMOps, MLOps, and AgentOps pipelines; continuous performance monitoring; and governance controls designed for regulated and data-sensitive environments. Whether your obligations run to the EU AI Act, HIPAA, or SOC 2, we make compliance an engineering decision.

06

Intelligent edge

ITRex delivers end-to-end cyber-physical systems—from electronics prototyping and sensor integration to firmware engineering, HMI design, and full IoT solutions and embedded system development. Our edge AI services include deploying on-device LLMs and SLMs on constrained hardware—bringing real-time inference and local data processing to environments where cloud connectivity is limited, costly, or simply not an option.

Latest projects

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Our framework for applied AI

Strategic foundation
Strategic foundation
Successful applied AI initiatives begin with a pragmatic, value-driven strategy that translates AI potential into measurable outcomes. We start by defining what’s actually worth building. For this, we assess your data readiness, identify high-impact use cases, and establish clear success metrics such as accuracy, time saved, and cost per outcome. If simpler automation delivers more value than complex ML, our experts will say so. We incorporate governance, privacy, and compliance from the start, especially in regulated industries.
Value-driven prototyping
Value-driven prototyping
We validate AI use cases with prototypes and PoCs designed to work with real data, real workflows, and real edge cases. Our team mitigates risks by implementing hallucination controls (RAG, structured outputs, retrieval fallbacks), bias checks, explainability mechanisms, and stringent quality standards. You get a tangible, dependable prototype that identifies limitations early on and fosters stakeholder confidence.
Company-wide deployment
Company-wide deployment
Turning a prototype into a production system is where many AI initiatives stall. ITRex architects scalable, compliance-ready solutions that integrate seamlessly with enterprise systems and external data sources. We design AI systems for observability, access control, model versioning, and cost optimization from the outset, so they perform reliably across teams and workflows.
AI operations & governance
AI operations & governance
To stay secure, produce accurate recommendations, and support your business goals, AI solutions require active operational discipline. The ITRex team uses LLMOps and AgentOps practices to continuously monitor model performance, cost efficiency, and drift while incorporating governance and trust layers in each deployment. Regular reviews and ethical safeguards keep your AI transparent, compliant, and reliable over time.