Megaton AI

Generative AI,
built for the real world.

We consult, design, and deploy generative AI applications, workflows, and models—from the first useful prototype to production.

Capabilities

From possibility to production.

Strategy is only useful when it becomes a working system. Megaton brings research, product thinking, engineering, and evaluation into one delivery team.

01

Generative AI Applications

Purpose-built products, internal tools, and creative systems that turn generative models into useful experiences for teams and customers.

02

Model & Workflow Deployment

Production-ready model integrations, orchestration, infrastructure, and automation designed around the way your organization actually works.

03

Consulting & Strategy

Hands-on technical and product guidance—from opportunity mapping and prototyping to model selection, rollout planning, and governance.

04

Evaluation & Benchmarking

Independent model testing, release and regression evaluation, and workflow-specific evidence through V-Benchmark and private engagements.

How We Work

One team, end to end.

Define01

Find the useful problem

We translate ambitious ideas and operational friction into a focused generative AI roadmap with measurable outcomes.

Deploy02

Build the working system

We combine models, data, software, and human workflows into applications that are dependable enough for real use.

Improve03

Measure what matters

We evaluate quality, cost, speed, and failure modes so every release is more useful than the one before it.

Selected Clients

Built with ambitious teams.

Our team partners with organizations that want to move beyond experimentation and put generative AI to work.

Kaiser Permanente
Universal Studios
Supreme
A visual representation of Megaton's model evaluation work

A Megaton Product

V-Benchmark

Independent expert-led testing for generative video models. V-Benchmark helps labs improve releases and gives creative teams evidence for choosing the right tools.

Explore V-Benchmark

Build With Megaton

Bring us the difficult generative AI problem.

We can help define it, prototype it, deploy it, and keep improving it in production.

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