We Are Dirigible.

At Dirigible Technologies, we design and develop custom Data Science, Machine Learning, and AI solutions that empower organizations to transform data into intelligence and innovation.

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Exciting News
Dirigible Analytics Joins Forces With OneSix

OneSix is a leader in data engineering that helps companies build the strategy, technology, and teams to unlock the power of their data. Together, we’ll deliver a seamless blend of data and AI solutions that empower enterprises to unlock the transformative value of AI and drive meaningful business outcomes.

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We Design And Build Solutions.

We help top companies design, engineer, and deploy custom end-to-end machine learning and AI products and solutions. Our platforms allow us to deploy and scale in a fraction of the time.

Shaped By Cross-industry Experience.

We have worked with innovative organisations of all sizes — from startups to Fortune — and in industries from technology to pharmaceuticals, retail, energy, automotives, gaming, and more.

Powered By Expertise.

Our team of full-stack data scientists and engineers accelerate innovation. We bring a diverse set of research and development expertise, scientific rigor and, a deep knowledge of state-of-the-art techniques to design, build, and deploy bespoke ML/AI solutions.

Trusted by Top Brands
Media Mix Optimization
Improving The Effectiveness Of Cross-channel Marketing Spend

We have pioneered novel approaches based in probabilistic modeling to assess and improve the effectiveness of marketing spend.

Our Platforms

Our suite of platforms help companies accelerate innovation in data science and machine learning by reducing time-to-market and fostering new research.

Dirigible RL

Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms.

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Dirigible ML

Rapidly build and embed machine learning pipelines in software and web applications.

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Dirigible Vision

Custom, continuously-improving deep learning vision models to solve your unique challenges.

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