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About

Work directly with the people building your solution.

We bring AI, data, and infrastructure expertise together with the training needed to put a useful idea into daily work.

Mission

Make AI useful, dependable, and understandable to the people who rely on it.

The Abisam difference

Useful AI has to work in three places.

The answer

Can people trust the output? We test answers, find the causes of errors, and measure whether changes help.

The system

Does it work with your data and tools, under real use, at a cost you can sustain?

The team

Do employees know when to use it, when to check it, and how their feedback changes the workflow?

We connect all three to a clear goal, a named owner, and a way to measure progress.

Two disciplines. One accountable team.

Tim Lafferty

Co-founder

Tim works on the data and model decisions behind a useful AI system. His background in mathematics, statistics, and machine learning includes a Georgia Tech foundation. He tests whether answers can be trusted, investigates why performance changes, and helps teams decide which improvements are worth making. He also works on messy data and the cost of running AI. Clients work with him directly from the first assessment through evaluation and handover.

Bob

Co-founder

Bob designs and runs the systems that let AI work under real conditions. He brings more than 20 years of architecture and infrastructure experience to integrations, cloud deployment, data pipelines, performance, and security. He focuses on what happens after the demo: how a system handles real data and load, and how the client team will maintain it. Clients work with him directly on a setup they can own.

Tim focuses on what the AI does. Bob builds the system around it. Together, they help your team put the result to work.

Our team has delivered projects and training for organizations including Delta, MassMutual, GunBroker.com, Sigma Thermal, Comcast, and Deloitte.

How Abisam works

You work directly with us. We start with the work you want to improve and the people who do it. Then we build, test, and put the solution into use with clear responsibilities, training, and a way to measure results.

Let's talk about what would help.

Tell us what you are trying to build, fix, or help your team use. We will work through a practical next step together.