Liquid Technologies

Updated in June, 2026

Liquid Technologies is an AI-native software development and consulting company headquartered in Houston, Texas. We help enterprise and mid-market teams move from AI ambition to working systems, building AI applications, custom software, web and mobile products, and data engineering pipelines that are shaped for real operational demands rather than lab conditions.

Our work spans four core verticals: healthcare, fintech, logistics, and manufacturing. We pair delivery with hands-on strategy workshops covering AI roadmapping, data readiness, and cloud assessment, so teams start in the right place instead of guessing. Alongside client engagements, we build proprietary platforms including Vidan AI and Sally, an AI voice agent.

Clients stay with us because the outcomes are measurable: faster reporting, hours returned to the team, and systems that hold up in production. AI should solve real problems, not add complexity.

Ready to see where AI can take the pressure off your team? Book a free 30-minute strategy call

Overview

Company size

51-200 employees

Founded

2017

Hourly rate

$25 - 50

Minimal project

$10,000+

Headquarters

Houston, US

Ready to start

1-2 weeks

Key clients
Vitalog
Astra Clinic
Vidan
ProCheck
Roam Trips
Trans-Global Solutions
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Liquid Technologies

Houston, United States

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          Top mentions

          Not for everyone, and here's why

          Expertise in startups

          Liquid Technologies specializes in providing IT solutions tailored for startups, ensuring they understand the unique challenges and needs of new businesses.

          Higher costs

          Some clients have mentioned that Liquid Technologies' services can be on the pricier side compared to other IT service providers, which may not suit all budgets.

          Customer sentiment at a glance

          Liquid Technologies is an IT service provider that focuses on startups, offering customized solutions and innovative technology. Clients appreciate their responsive support and strong relationships, although some note higher costs and potential scalability issues.

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