The Other Company

TheOtherCompany

Q1.What kind of company is this? Pick one.

Yes. All of the above, on purpose.

Build useful things. Leave things better.

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Q2.Describe your company in one sentence.

We bring AI, software engineering, product development, research and business thinking together to turn meaningful problems into useful technology. We build our own products, work with businesses, explore what is new, and contribute to the open-source projects we depend on.

We tried. It took two.

Q3.What do you do? Select all that apply.

AI & applied researchPractical AI systems, built where they create real value.
  • Agentic, tool-using systems
  • Retrieval and knowledge systems
  • Model integration, orchestration and evaluation
  • Model-agnostic architectures
  • Evaluating open models
  • Prototypes that grow into production
Software & full-stack engineeringFrom first architecture to the tenth deploy, and the maintenance after.
  • Web, desktop and backend services
  • APIs, data systems and integrations
  • Infrastructure, DevOps and CI/CD
  • Developer tools and internal platforms
  • Observability, reliability, security
Product developmentWe start with the problem, not the technology or the feature list.
  • Problem discovery and customer research
  • Strategy, positioning and requirements
  • UX research, prototyping and validation
  • MVPs and feedback-driven iteration
  • Analytics, documentation and launch
Business development & partnershipsGetting useful technology to the people who need it, sustainably.
  • Customer discovery
  • Business models and go-to-market experiments
  • Technical partnerships
  • Selected client engagements
  • Founders, businesses and investors
Open source & communityImproving the tools that make our work possible.
  • Upstream code, fixes and tests
  • Documentation and examples
  • Maintaining public repositories
  • Releasing reusable libraries and tools
  • Writing up what we learn

Yes. All of them.

Q4.How does work move through here?

  1. 01

    Discover

    Find a meaningful problem, user need or technical opening.

  2. 02

    Understand

    Study the context, existing solutions, constraints and likely impact.

  3. 03

    Define

    Agree the problem statement, scope and what success looks like.

  4. 04

    Design

    Shape the product direction, the experience and the architecture.

  5. 05

    Build

    Implement, test assumptions, wire the systems together.

  6. 06

    Validate

    Check it with users, data, tests and real conditions.

  7. 07

    Ship

    Release the product, deliver the outcome or publish the research.

  8. 08

    Improve

    Watch how it performs, listen, fix what falls short.

  9. 09

    Share

    Write down what we learned and give reusable work back.

Small experiments skip a few. That's fine.

Q5.What do you believe? Initial each.

Q6.Share of working time given back to open source.

10%

Intended policy. Roughly four hours a week, on company time. It may evolve as we grow.

Q6b.What changes?

  • maintain a private fork forever
  • contribute upstream to the projects we depend on
  • give back in your spare time
  • protected working hours for open source
  • keep every lesson internal
  • build in public where it helps and we are free to
  • count commits
  • measure usefulness and quality
  • ignore the licence file
  • respect licences, governance and contributors
  • publish and vanish
  • document releases, state maintenance and limits

Q7.How does this pay for itself?

Our own products
Software we own, for problems we have validated.
Engineering engagements
AI, software, infrastructure and product work with selected businesses.
Research & prototyping
Feasibility studies and promising ideas turned into working prototypes.
Product partnerships
Building, improving and launching products with founders.
Open-source projects
Public tools, sustainable where possible, never at the community’s cost.

Who should fill in the rest of this form?

  • Founders building technically ambitious products
  • Businesses looking for practical uses of AI
  • Teams that need engineering and product help
  • Researchers and developers trying new things
  • Open-source maintainers and communities
  • Organisations that value long-term engineering
  • Partners and investors curious about where this goes