Natural Language Processing Ltd — London, UK

AI products that run themselves

Natural Language Processing Ltd is a London AI product company. We build an agent platform, apply it to language-heavy work like interviews and proposals, and launch self-running businesses on top of it — with humans making the final call.

pipeline.run · nlp-processing
// input

"Acme Ltd signed a £2.4M contract with the Department for Transport on 12 May 2026."

// entities
Acme Ltd ORG £2.4M MONEY Dept. for Transport ORG 12 May 2026 DATE
// output
{
  "topic":      "procurement",
  "sentiment":  "neutral",
  "confidence": 0.97
}
Registered in England & Wales · No. 14732406
Enterprise-grade, multi-tenant platforms
Founded by economists & computer scientists

Products

One approach, three layers

A platform for building agents. Applied products that put those agents to work on language-heavy jobs. And ventures — whole businesses designed from day one to run with near-zero headcount on the same foundations.

01

Platform

The engine everything else is built on.

Flagship · New

AI Agentic Workbench

An enterprise platform for building, deploying and scaling AI agent workflows through a visual interface — no code required, full code welcome.

  • Drag-and-drop visual workflow builder with a pre-built block library
  • Deploy any workflow as a production API with auth and scaling built in
  • Provider-agnostic: OpenAI, Anthropic Claude, Google Gemini and local models
  • Intelligent caching cuts external API costs by up to 60%
Explore the Workbench
02

Applied AI

Agents applied to language-heavy work — with structured output and a human making the decision.

03

Ventures

Self-running businesses we've built and operate: AI-agentic provisioning, billing and support, so they scale without scaling a team.

How we're positioned

Built to run without a team behind it

Every product, from the Workbench to a care-home screen, follows the same three rules.

Agentic by design

Provisioning, monitoring, billing and first-line support are done by agents. Marginal cost per customer stays near zero, so each product scales without proportional headcount.

Humans make the final call

AI structures, scores and summarises. A person reviews, overrides and decides. No algorithmic black boxes, and every evaluation is auditable.

Production-grade foundations

Multi-tenant isolation, role-based access, encrypted storage and audit trails come as standard. Provider-agnostic, so no vendor lock-in.

Talk to us about any of the five

Whether you need agents built, interviews or proposals evaluated, or want to partner on SignPlus or Mantel — one email starts the conversation.

Get in touch