2 to 3 weeks
AI opportunity audit
We map your workflows, find where AI saves or earns the most, and rank the top three use cases by dollar impact. You get a plan, not a slide deck.
Your best people shouldn't be doing copy-paste.
We find the slow, repetitive work holding your team back and build AI that takes it on, inside your own operations. Built in weeks, at a fixed price.
Most AI work never reaches the part of the business that pays for it
Pilots stall.
Many AI pilots never reach production. They look good in a demo and then sit.
Rented tools leave nothing behind.
When you stop paying for the subscription, the workflow and the savings go with it.
No one has time to pick.
Your team is busy running the business. Working out which AI use case is worth doing first is a project of its own.
Three ways to work with us
Fixed price, agreed up front.
4 to 8 weeks
Build and deploy
We build the top use case, put it into production, and train your team. Everything we build (code, models, data) belongs to you.
Examples of what we build: a private model API that runs inside your own cloud, and a private assistant that answers questions over your own documents.
Multiple companies
Repeat across the portfolio
We reuse what worked at one company in the next, faster and cheaper each time.
Startup founder? We also build AI products for startups. Tell us what you are making.
Work that changed how the business runs
Skillful.ly
90%+
of candidate noise filtered out
70 to 80%
more efficient teams after hire
Hiring teams were buried in candidates who were never going to be a fit, and building skills in new hires took too much time.
AI role-playing simulations. One model plays a real customer, another model critiques and refines its replies, so candidates and employees practise realistic situations that can be tailored by industry. We built all of the product’s features and its simulation engine.
- More than 90% of the noise in the candidate pool was filtered out by the simulations, so hiring teams spent their time on people worth meeting.
- In the learning and development stage after hire, teams using the platform ran 70 to 80% more efficiently.
- Skillful.ly has since been adopted by S&P 500 companies.
“Paradigm’s expertise was pivotal in our journey into AI, propelling us forward at record speed.”
Awesome Motive
60 to 70%
less third-party software spend
12 weeks
to deliver
Awesome Motive and the businesses in its portfolio were paying for a long list of third-party applications, and that spend kept adding to burn. The software was also built for the average customer, not for each business’s own pain points.
In-house versions of the software they relied on, built from scratch, plus custom versions for their portfolio businesses. We also worked inside their teams to find each business’s specific pain points and build calibrated AI solutions that fit how those teams work.
- Spend on third-party software reduced by 60 to 70%.
- Delivered in 12 weeks.
- Everything built is their IP.
- The applications run privately in their own cloud environments.
QuestionPro
An AI tool that predicts how people will respond to survey questions, using past survey responses.
Salus
A low-code builder that lets teams assemble generative AI apps faster.
IdeaScale
An AI assistant that helps users search thousands of submitted ideas and find the ones worth acting on.
Datasource.ai
An AI moderator for a large Discord community, answering questions and monitoring ads.
What clients say
“Our collaboration with Paradigm was transformative, as their team demonstrated exceptional knowledge and expertise in AI applications. They played a key role in our strategic decisions, making them an invaluable partner in our journey towards digital innovation”
“I would like to express my gratitude to the Paradigm team that played an instrumental role in the successful launch of our datathon platform. Their expertise, guidance, and support have been invaluable throughout our journey. They offered us insightful advice, helping us shape our vision and refine our strategies.”
“Paradigm is one of the best AI/ML groups I have worked with. They built our Gen AI product from scratch along with a lot of innovative tooling around the product. The value Paradigm provides compared to the cost is exceptional.”
Four steps, each with a clear end point
- 1
30-minute call
We learn how your business runs and where time or money leaks.
- 2
Audit, 2 to 3 weeks
We map workflows and rank the top three use cases by dollar impact.
- 3
Build, 4 to 8 weeks
We build the top use case and put it into production.
- 4
Handover and training
Your team learns to run it. Ongoing support is available by separate agreement.
You own the code, models and data.
What you can count on
We build for production, not demos
The goal is a system your team uses on Monday, not a prototype for a board meeting.
You own everything
Code, models and data are yours. Nothing is rented back to you.
Your data stays in your cloud
We build and deploy inside your own cloud environment. Private, self-hosted models are available when data must not go to a public AI provider. We sign NDAs.
Most AI activity across a portfolio does not move EBITDA
We start with one real problem at one company, prove the result, then repeat it across the portfolio.
Awesome Motive: third-party software spend cut by 60 to 70%, delivered in 12 weeks.
Talk to our teamStarts small, fixed price
One audit, one use case, one price agreed up front.
Assets stay with the portfolio company
Everything we build is theirs.
One team across companies
The same engineers carry what worked from one business to the next.
Pre-launch
From our lab: Montaa
Montaa is a decision-support tool our R&D team is building. It stress-tests high-stakes decisions that involve more than one party, such as a funding round, an acquisition or a negotiation. It models the other side’s incentives, plays out thousands of possible outcomes, and shows which move holds up best.
Montaa is in development. There are no customer results yet, and we are talking to design partners.
Read the conceptsQuestions we hear
How fast can we start?
Within a week of the call, we can scope the audit and agree a start date.
How is pricing structured?
Fixed price per stage, agreed up front. The audit has one price and the build has another, set after the audit. There are no hourly bills and no surprises. We do not publish prices because each business is different.
Who owns the IP?
You do. Code, models and data are yours from day one.
How do you handle our data and security?
We build and deploy inside your own cloud, so your data stays in your environment. Where data cannot go to a public AI provider, we can deploy private, self-hosted models. We sign NDAs. Anything more specific, such as certifications or access policies, we discuss on the call.
Do you sign NDAs?
Yes.
What if the audit shows AI is not worth it?
We tell you. You only pay for the audit.
What industries do you work in?
We work across industries, because the workflow matters more than the sector. Most of our work so far is in software and SaaS, and the same approach applies to any operations-heavy business.
What do we need from you?
Someone who knows the workflow, access to the people and systems involved, and a decision-maker who can approve a plan.
Tell us the one process that costs you the most time.
We will tell you in 30 minutes if AI can fix it.