We build structured intelligence systems.

Revision Labs develops applied AI products powered by layered workflows, validation pipelines, and deterministic scaffolding.

Explore what we’re building
Approach

Applied AI is powerful — but reliability requires structure.

Generation

Structured model orchestration with tool integration, controlled prompting, and modular inference pipelines.

Validation

Automated evaluation layers incorporating domain checks, signal scoring, constraints, and guardrails.

Structure

Deterministic output modeling using defined schemas, comparison frameworks, and inspectable reasoning.

Every product we build follows this layered architecture to reduce ambiguity and increase confidence.

Product

Our brand name discovery platform.

BetterNamer generates brandable names and checks domains, trademarks, and search competition in one place.

  • Names you can actually have

    Every idea comes with live domain availability.

  • Spot trademark trouble early

    Conflict screening before you commit to a name.

  • Pick with confidence

    Search and competition signals, side by side.

Try BetterNamer Talk to us
Open Source

Structured workflows for .NET environments.

ReviDotNet is our open-source framework for building structured AI workflows in .NET environments.

It separates inference, validation, and output modeling into composable layers — enabling systems that are flexible, inspectable, and reliable.

  • Modular inference orchestration
  • Signal-aware validation pipelines
  • Deterministic output schemas
  • Extensible tool integration
View on GitHub
Founder

Builder mindset, enterprise experience.

Founder portrait

Bryan Kruman combines enterprise sales leadership with hands-on technical execution. Over the past decade, he has led and expanded large-scale technology engagements representing tens of millions in annual value, working directly with executive stakeholders in regulated industries. His passion for engineering and commercial experience drive a disciplined approach to building reliable, intuitive systems that deliver measurable results.

Partner

Collaborate with us.

We're collaborating with investors, organizations seeking to apply structured AI in real-world environments, and developers contributing to our open-source framework.

We’ll respond with next steps.