We're building agents with a deep understanding of you and the complete context of your work. So, they already know what you're working on, the backstory behind it, and what's next. And as you work, Catapult continually learns, remembers, and improves, taking more and more meaningful work off your plate.

It's still early, but Catapult already outperforms Claude Fable 5 and comparable OpenAI models on most knowledge work tasks when connected to Gmail, Drive, Notion, Granola, and Slack. It does so at a fraction of the cost, and we're just getting started.

We're a deliberately small, obsessed team of repeat founders, researchers, and engineers from Meta, Amazon Research, G-Research, Oxford, Cambridge, and Imperial.

We have many seemingly impossible challenges ahead of us as we transform the way the world works. If that excites you, join us.

See open roles

Meet our team

Rav at the Catapult office

Rav

Co-founder & CEO

2x startup founder and former EMEA Lead at Meta, where his team helped roll out new products and scale engagement. Previously built the "Netflix for News", where he brokered deals with the world's leading media companies.

MetaBain & CoJP MorganGoldman SachsThe Market MogulMogul News
Greg at the Catapult office

Greg

Co-founder & CTO

Former Cambridge researcher, PhD student and CS teacher who taught mathematics, linguistics, statistics, theoretical CS, and AI. Worked on numerous topics at the cutting edge of mathematics and theoretical CS motivated by the P vs NP problem.

University of CambridgeUC Berkeley
Mayeul at the Catapult office

Mayeul

Founding Senior Engineer

Previously co-founded a deep tech startup where he built a quantum number generator. Helped build the computational teams at Imperial College London and UCL. Holds a PhD in particle physics.

Imperial College LondonNational Renewable Energy LaboratoryUCLCrypta LabsKageNovaRoke Manor Research
Eric at the Catapult office

Eric

Founding AI Research Engineer

Oxford and Imperial educated researcher who continued on to Amazon Research and JP Morgan. A specialist in reinforcement learning, he built an internal coding assistant using very small models while at JP Morgan.

JP MorganAWSUniversity of OxfordImperial College London
Pierre Allain at the Catapult office

Pierre

Founding AI Research Engineer

Educated at ENSAE Paris and Paris Diderot University, he has worked across quantitative finance, payments, and applied AI in both New York and London. His background includes building trading signals and NLP systems at G-Research, as well as developing Checkout.com's first machine learning fraud detection platform.

G-ResearchCheckoutESANE

You?

Apply to one of our open roles below.

Open roles

Why you should not join Catapult

FAQs

What is your interview process?

Our typical process is:

  1. A founder interview focused on your background, ambition and how you think.
  2. A follow-up conversation about problem-solving and judgment.
  3. A deeper session where you present something you know exceptionally well and work through a real Catapult problem on a whiteboard.
  4. A paid work trial in our office.
  5. References & offer extended.

We do not rely on generic coding tests. We care more about how you reason, communicate and work on a difficult problem with the team.

What compensation and benefits do you offer?

We offer competitive salaries and meaningful stock options because we want everyone at Catapult to share in the upside they help create.

Our UK benefits include Bupa private healthcare, a wellbeing allowance, a tax-efficient pension scheme, 34 days of paid holiday including public holidays, workplace nursery benefit, and all the equipment you need to do your best work. We can also sponsor UK work visas for exceptional candidates.

What should I expect in my first few months?

You'll contribute from day one and take ownership of meaningful problems within your first month, turning them into something users rely on. Expect direct support, fast feedback and broad responsibility, not layers of management or a narrow box.

Do you sponsor visas?

Yes. We sponsor visas for exceptional people and already have the infrastructure to do it.

We care about finding the best person, not where they were born or which passport they hold. If there is a strong mutual fit, we will work with you on the appropriate UK visa route and cover the company side of the process.

What makes Catapult technically difficult?

Real work is messy. A single decision might begin in a meeting, continue in Slack, appear in an email and eventually change a document or customer plan.

Catapult must understand those connections across millions of pieces of information, keep that understanding current, respect permissions and reliably select the right context for each task. We are also solving evaluation, safety, document understanding and agent execution across wildly different customer environments.

How will you beat Anthropic and OpenAI?

Claude and OpenAI are building increasingly intelligent general models. We are solving a different problem: giving AI a deep, persistent understanding of your work.

Connectors retrieve a few emails, messages or documents after you ask a question. Catapult already understands how those conversations, people, projects and decisions connect, and keeps that understanding current as your work changes.

Models will keep improving and we can use whichever one is best. Our advantage compounds separately: a living model of you, your company and how work actually gets done. Better intelligence helps everyone. Better context makes Catapult better for our users.