AI-native software lab · London, UK
An AI-first software company, shipping a portfolio of SaaS products
Sequel AI designs, builds and owns independent software businesses. AI is embedded at every layer of how we work — product planning, architecture, prompt engineering, pipeline design and iteration. It isn’t a tool bolted onto a workflow.
The portfolio
Independent products.
One operating system.
Each product is designed to own its niche, run lean and grow on autopilot — shipped and operated through the same AI-native pipeline.
The model
AI-native, end to end
We operate through an AI-native development model — embedded at every layer of how we work: product planning, architecture, prompt engineering, pipeline design and iteration. That lets us design, validate and ship software with a speed and capital efficiency conventional teams struggle to match.
01
Plan
Market gaps are identified and validated with AI-assisted research before a single screen exists.
02
Architect
Systems are designed for AI to build against — clear boundaries, typed contracts, testable surfaces.
03
Engineer
Prompt-engineered pipelines generate, review and integrate code. Humans steer; agents execute.
04
Ship
Delivery is automated end to end — build, verify, deploy, measure. Cycles measured in days, not quarters.
FAQ
Answers, straight up
What is Sequel AI?
Sequel AI is an AI-first software company registered in London, United Kingdom. It builds and owns a portfolio of SaaS products, each designed to own its niche, run lean and grow on autopilot.
What products does Sequel AI own?
The portfolio spans developer tooling, growth marketing, content automation and education — including LatticeRun, CommentSurge, AutoGenShorts, Prospel, Intelligo, UGC Genie, Agentric and Podkrafter. See the portfolio for the live list.
What does 'AI-native' mean at Sequel AI?
AI is embedded at every layer of the development model — product planning, architecture, prompt engineering, pipeline design and iteration. It is the workflow itself, not a productivity tool added to a conventional process.
Fewer people. Faster cycles. Compounding output.
The portfolio grows the same way every time — spot the gap, ship the product, let the system compound.
