It's time for AI people can trust
Why we do what we do

Apres was built on the belief that better decisions start with better understanding. We believe that when the people closest to the problems that AI systems are trying to solve are given the power to weigh in on AI decision-making, well, those decisions get better. And more transparent. And understandable (finally) to anybody, no matter where they sit on the org chart. So we built a product that gives those people the ability to see, describe, and understand AI systems in natural language.

We've learned that by giving people easy-to-understand insights into their AI systems, plus the ability to validate or correct those insights, the result is a treasure trove of new data and predictive power. People have trained AI models in the past. Now we're taking the human-AI relationship to the next level. Understanding and performance, together at last.

If you, too, are interested in tapping the real promise of AI, drop us a line.  It's an exciting moment for AI. And it's a worthy goal for the brightest minds in data science and business to rally around: AI people can trust. It's not just responsible and ethical. It's good business and it's the future of intelligence.

We're on a mission to make
explainable AI accessible.

For People.
People make better decisions when the truth is obvious. We already know that the utility of data is directly correlated to one's ability to explain that information. What's missing for model decisions is the ability to uncover the whys and hows, to give people an opportunity to make better decisions. Apres is built to be the interface layer between people and machines. A way to simply explain model-based decisions.
People
People
For Businesses.
The next phase of business success is predicated on incorporating and executing an AI strategy. AI applications require unique coordination between developers, data science and core operations. Today, it's hard to manage AI projects and even harder to gain insight into their success early and often. Apres adds transparency into this process, giving companies a much needed view into their data, wrapped in management tools that accelerate development. Helping companies succeed with AI helps everyone succeed.
People
For Machines.
For every critical system, we have an audit trail that explains who, what, when, where and why, a decision was made. What not for machine learning models? While the impact of AI-based decisions grows, the need for sustained and continuous audit grows with it. Apres unlocks this single-source of truth with the ability to monitor, validate and explain decisions continuously, from training to production. Creating a safer environment for unexplored possibilities.
People
Meet the team changing our relationship to AI
Matt Waite
Co-founder / CEO
Subbu Balakrishnan
Co-founder / CTO
Mihovil Kovacevic
Co-founder / VP Eng.
Rahul Kumar
Co-founder / CAS
Blake Aber
Co-founder / CPO
Ana Gregorio
Business Development
Peter Myers
Engineer
Jorge Sanchez
AI Solutions
Supported by industry investors and veterans
Joshua Krammes
Partnerships, Equinix Metal
Aditya Sarawgi
Engineer, Ampleforth
Randeep Bhatia
Data Science, Twitch
Pedro Almeida
Angel Investor
Jorge Bravo
Board, ITSector
Ricardo Feferbaum
GM, OLX
Rahul Kumar
Founder & Chief AI Scientist
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