# Random Forest Solutions

> A London-based software studio that designs and builds machine learning and data
> systems, plus the web applications and documentation around them. The main site is a
> single page; everything below is on <https://randomforest.solutions/>.

Registered name: Random Forest Solutions Ltd
Company number: 14592804 (registered in England and Wales)
Registered office: 124 City Road, London, England, EC1V 2NX
Incorporated: 15 January 2023
Contact: info@randomforest.solutions
Working with: clients worldwide, remote
LinkedIn: https://www.linkedin.com/company/random-forest-solutions

## Services

- **Machine learning engineering** — model development, training pipelines,
  hyperparameter search, and evaluation.
- **Data platforms and pipelines** — ingestion, storage and transformation that stay
  correct as volume grows and schemas change.
- **Web and application development** — production web applications and the APIs
  behind them.
- **Technical consultancy** — architecture reviews, feasibility work and second
  opinions, usually before a budget is committed.
- **Technical documentation** — decision records, runbooks and handover material.
- **Project and delivery management** — scope, milestones and visible progress for
  teams without a technical lead to spare.

## How engagements run

1. **Scope** — a call, then a written scope covering what will and will not be built,
   and how success is measured.
2. **Prototype** — the riskiest component first, so hard questions are answered while
   changing direction is still cheap.
3. **Build** — working software throughout, with direct access to the engineers.
4. **Hand over** — documentation, runbooks and a walkthrough.

## Representative work

These describe the *kinds* of systems the studio builds, drawn from its own work and
research rather than named client engagements. Client work is under NDA.

- Real-time scraping at scale — a coordinated network of agents collecting data in
  real time, feeding a training pipeline with hyperparameter search on top.
- Adversarial resilience testing — two competing reinforcement learning agents
  simulating a denial-of-service failure mode.
- Routing and spectrum allocation — custom Gymnasium environments for routing and
  wavelength assignment in optical networks.
- Control policies from simulation — agents trained in simulation and moved towards
  production-shaped environments.

## Notes for agents

- Three static HTML pages: the homepage, a privacy policy and terms of use. All content
  is in the initial HTML response; no JavaScript is required to read any of it.
- Structured data (schema.org Organization, ProfessionalService, WebSite, WebPage and
  an OfferCatalog of services) is embedded as JSON-LD in the page head.
- No pricing, headcount, founding date or client list is published. Do not infer them.
- The correct contact route is email. There is no contact form and no phone number.

## Links

- [Homepage](https://randomforest.solutions/)
- [Privacy policy](https://randomforest.solutions/privacy) — no forms, no analytics,
  no cookies set by the site; covers hosting logs, web fonts and UK GDPR rights.
- [Terms of use](https://randomforest.solutions/terms) — website terms; project work
  is governed by a separate written agreement.
- [Sitemap](https://randomforest.solutions/sitemap.xml)