We're building the AI systems that power the future

Velora Studio was founded on a single conviction: every organization deserves AI infrastructure that actually works. We're a team of AI researchers, engineers, and operators building the platform the world's best teams will run on.

Our Story

Velora Studio started in 2024 when our founders — a team of AI researchers from Stanford and MIT — realized that enterprise AI was fundamentally broken. Companies were spending millions on fragmented tools that never delivered real value.

We asked: what if we built a single, unified AI operating system that could handle everything from data ingestion to autonomous decision-making — and made it work out of the box?

Today, Velora Studio's AI engine processes hundreds of millions of decisions daily for organizations across finance, healthcare, logistics, and beyond. The best technology is the kind you don't notice — it just works.

Velora Studio office and team

Founded 2024

Our Mission

To build the best-in-class AI systems that become the operating layer for every ambitious organization on earth.

Research-Driven

Every system we ship is grounded in peer-reviewed AI research and validated in production environments at scale.

Security-First

SOC 2 Type II certified. On-prem deployment options as standard. Your data never leaves your control.

Built for Everyone

From Series A startups to Fortune 500 enterprises — our platform scales to serve organizations of every size and industry.

Meet the team

World-class researchers and engineers united by a shared mission.

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Dr. Amira Patel

CEO & Co-Founder

Former Stanford AI Lab. PhD in Machine Learning. 10+ years in recommendation systems.

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James Chen

CTO & Co-Founder

Ex-Google Brain. Architected large-scale ML infrastructure serving billions of requests daily.

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Dr. Sofia Martinez

Head of Research

Former OpenAI. Expert in multi-agent systems and reinforcement learning. Published 40+ papers.

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Alex Kim

VP of Engineering

Former Stripe. Expert in distributed systems, API design, and developer experience at scale.

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Dr. Lena Okafor

AI Ethics Lead

MIT CSAIL alumna. Specializes in fairness, bias detection, and responsible AI development.

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Ryan Torres

Head of Product

Previously led product at Datadog. Passionate about developer tools and observability.

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Dr. Wei Zhang

Principal ML Engineer

Former DeepMind. Expert in large language models and multi-modal AI architectures.

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Maya Johansson

Head of Design

Award-winning designer. Previously at Figma. Believes great infrastructure deserves great UX.

Our journey

2024 Q1

The Idea

Founded by AI researchers who saw enterprise AI was broken — fragmented, expensive, and underdelivering.

2024 Q3

Seed Funding

Raised $4.5M seed round to build the core AI engine and assemble the founding team.

2025 Q1

Alpha Launch

Launched private alpha with 50 enterprise customers. Achieved 10x workflow automation speed.

2025 Q4

Series A

Raised $18M Series A to scale our platform and expand to new markets.

2026

General Availability

Opening the platform to all organizations. Request access to join the next wave of enterprise AI.

Want to join our mission?

We're hiring engineers and researchers who want to build the AI infrastructure layer for every organization.