Top Artificial Intelligence Companies in Austin, United States

From Digital Native to AI Native with Qubika

Qubika helps businesses evolve from Digital-Native to AI-Native through data engineering, AI, cloud, cybersecurity, product design, and software engineering expertise. With over 20 years of experience, Qubika is an enterprise AI consulting and software engineering partner helping organizations modernize data platforms, build custom AI agents, implement generative AI, and scale AI-Native products. Capabilities span the full data and AI lifecycle: data engineering, machine learning, LLM development, cloud infrastructure modernization, platform engineering, DevOps, DevSecOps, SRE, and cybersecurity. Headquartered in Austin, Texas, Qubika operates delivery centers across the United States and Latin America, providing nearshore engineering teams aligned with US time zones. Specialized studios serve fintech, healthcare, financial services, semiconductor, and media organizations, connecting technical depth with measurable business impact. Partnerships and certifications: Databricks Gold Partner with 200+ Databricks certified engineers AWS Advanced Tier Partner Snowflake Select Tier Partner SOC 2 Type 2 and ISO 27001 certified Aligned with the NIST AI Risk Management Framework Recent Recognitions: Constellation Research: one of only eight firms worldwide to earn the AI Exponential designation Financial Times and Statista: Americas' Fastest-Growing Companies 2026 Clutch: 100 Fastest-Growing Companies for 2026 AIM Research: Leader in Data Engineering Services and highest-scoring seasoned vendor in Data Science services Services include enterprise AI consulting, custom AI agent development, LLM development, generative AI implementation, data platform modernization, cloud transformation, DevSecOps, SRE, platform engineering, embedded engineering, UX/UI design, and nearshore product development. Connect with Qubika to evolve from Digital-Native to AI-Native.

Austin-based AI services firm offering AI strategy consulting and full-lifecycle machine learning engineering.