What Is Jobbit, and Where Does Jobbit Labs Fit? One Company, Three Divisions, One Data Loop (2026)
Jobbit is the UK AI agent and human network at jobbit.uk. Jobbit Labs is its research division. Here is how the agent platform, the vetted human network and Jobbit Security feed the real-world data that Labs turns into datasets, evaluations and world models.
Jobbit Labs1,550 words№ 02
People usually arrive at Jobbit Labs sideways: from a paper, a partner introduction, a job advert or a conversation about world models. The first question is almost always the same. What is Jobbit, and why does a company with an AI agent for small businesses also run a research lab?
The short answer is that Jobbit is a UK company with one loop viewed from three angles. Jobbit.uk is where work gets assigned and finished, by an AI agent and by vetted people. Jobbit Labs is what that work teaches. Jobbit Security keeps the whole thing, and our customers' systems, tested against the people who would like to break it. The company published its own long-form answer this week, What Is Jobbit? Inside the UK AI Agent and Human Network, and this post is the Labs view of the same story: what the platform is, and why it is the data engine underneath everything we do here.
The company in one table
| Division | Website | What it does | Who it is for |
|---|---|---|---|
| Jobbit | jobbit.uk | A multipurpose AI agent that builds web apps, runs automations, creates documents and media, researches sources and brings in vetted human experts from one workspace | Small businesses, founders, freelancers |
| Jobbit Pro | pro.jobbit.uk | The human network: vetted UK freelancers and specialists who take the jobs an agent hands over, with escrow-protected payment | Freelancers, tradespeople, designers, developers, consultants |
| Jobbit Labs | jobbitlabs.com | The R&D division: first-party, consented datasets of how physical and knowledge work is done, and the world models trained on them | AI and robotics teams, enterprises, research partners |
| Jobbit Security | jobbitsecurity.com | Manual penetration testing, red teaming, cloud security assessment, phishing simulation and vCISO services for UK business | Businesses that need a real test, not a scan |
One company, one team in London, one registered office at 124 City Road. The websites are separate because the customers are, not because the work is.
Jobbit.uk: the agent and the human network
Most people meet Jobbit through a chat box on jobbit.uk. You describe a job in plain language and the platform routes it to the right agent, workflow, file generator, app builder or expert flow. The output is real work: a hosted web app, a scheduled automation, a document or spreadsheet, a research report with citations, an image or a video, or one of the free online tools that turn an everyday chore into a single message.
The part that matters most to Labs is what happens when software is not enough. The agent can hand a job to a person. Jobbit Pro is the human side of the same platform: vetted freelancers and specialists, from developers and designers to tradespeople and consultants, who take the jobs an agent should not do alone. The agent drafts the brief, the expert delivers, payment sits in escrow until the work is accepted, and the record of the whole job stays in the same workspace as everything else. The company's guide to the 12 jobs an AI agent can do for a business this week is a good picture of the agent side; the human side is what makes the physical world reachable at all.
Why a research lab sits inside an agent company
Frontier models were trained on the internet. The internet has no record of how a boiler gets serviced, how a mixed order gets picked from a live warehouse, or how a fibre line gets spliced. Nobody wrote those tasks down step by step, with the false starts, the corrections and the verified result. That is the data gap Jobbit Labs exists to close, and it is exactly the gap the agent platform runs into every day when a task needs a person.
Every task on Jobbit runs through the same four stages, and the stages are the company in miniature.
- Assign. The brief is written or refined by the agent and routed to the right tool, agent or vetted human.
- Execute. The work is done: code written and deployed, the document produced, the job completed on site.
- Record. The instructions, the plan, the actions, the corrections and the verified outcome are captured inside the platform, with the customer's consent.
- Improve. Those records become the training and evaluation data for the next generation of agents, and for the world models Labs is building.
Anyone can bundle tools. Almost nobody owns the loop. Because the agents and the network they book both belong to Jobbit, every task runs inside one system and stays there. That closed loop is what Labs is built on, and it is why the data has properties you cannot buy:
- Real trajectories, not summaries. Brief, plan, actions, mid-task uncertainty and the verified outcome, recorded as the work happens rather than tidied up afterwards.
- Multimodal by default. Text, photos and video of physical work sit alongside the chat, files and app builds of knowledge work.
- Human and agent, side by side. The same tasks performed by AI and by vetted experts, with comparable outcome labels, which is what you need to measure where the machine is good enough and where it is not.
- Provenance and consent built in. Captured inside our own platform with clean lineage. Nothing is scraped, and customers opt in.
What Labs does with it
Three things, in increasing order of ambition.
Datasets. First-party records of how physical and knowledge work is actually done, packaged for AI and robotics teams that have plenty of compute and almost no data of this kind. The use-case explorer on our home page shows the six task families we started with, from warehouse picking to weld inspection, and the signals each one captures.
Evaluations. Because the same task is performed by agents and by people, with the outcome verified either way, Labs can score an agent against a human baseline on real work rather than on a benchmark written for the purpose. The data loop section explains how a completed task becomes a label.
World models. World models predict the outcome of an action in the physical world before it is taken. They do not predict the next video frame pixel by pixel; they learn in an abstract space, encoding the current state, predicting where an action leads and correcting themselves against what actually happened, the principle behind joint-embedding predictive architectures (JEPA). Recorded trajectories with verified outcomes are the raw material, and our world models page has an interactive demo of why more of that data means smaller prediction errors.
Labs is early, deliberately. The orchestration layer that routes every Jobbit task and labels each completed one runs live on jobbit.uk today, and so does the capture loop. The research is built on top of production, which is the difference between a dataset you can buy and one you can trust. We do not publish numbers we cannot stand behind, so you will not find success rates on this site until they mean something.
Jobbit Security: the red team down the corridor
The third division is easy to explain from where Labs sits. The agent platform and the data engine handle customers' code, files and operations, and we would rather be tested by our own red team than by someone else's. Jobbit Security runs manual penetration testing, cloud security assessments, red team operations, phishing simulation and vCISO work for UK businesses, aligned to OWASP, NIST SP 800-115, PTES and MITRE ATT&CK, and it tests Jobbit's own systems first. The same AI that lets a business build an app in an afternoon lets an attacker find that app's weaknesses in an hour, so a company that builds with AI should be able to defend with it.
What this means for you
- AI and robotics teams: talk to us about datasets, evaluations and world models built on first-party, consented real-world data. Start with the use cases and get in touch.
- Enterprises with physical operations: the tasks your teams do every day are the data frontier models lack. Recording them, with consent, is a partnership rather than a purchase.
- Researchers and engineers: we are hiring in London. The careers page lists the roles.
- Businesses and freelancers: the fastest way to understand the loop is to run one task through it. Give Jobbit a job on the free plan, no card needed, or join the human network at pro.jobbit.uk.
Read the full story
The complete company page, with pricing, principles and who is behind Jobbit, lives on the main site: What Is Jobbit? Inside the UK AI Agent and Human Network: Jobbit.uk, Jobbit Labs and Jobbit Security. Its own boilerplate says it in three sentences:
Jobbit is a UK AI company bringing AI to the physical world. Its platform at jobbit.uk combines a multipurpose AI agent, which builds apps, documents, research and media, with a network of vetted human experts who finish the work an agent cannot. Jobbit Labs builds first-party datasets and world models for physical AI, and Jobbit Security provides penetration testing and red teaming for UK business.
If you only remember one line from this page, make it the company's own: finished beats generated. Everything Labs records starts with work that was actually done.
Frequently asked questions
What is Jobbit?
Jobbit is a UK company whose platform at jobbit.uk combines an AI agent that builds web apps, documents, research, automations and media with a network of vetted human experts who take the jobs an agent cannot do alone. Jobbit Labs and Jobbit Security are two further divisions of the same company.
Is Jobbit Labs a separate company?
No. Jobbit Labs is the research and development division of Jobbit Ltd, based in London. It shares the company, the team and the platform with jobbit.uk and Jobbit Security, and its research is built directly on top of the production system.
What data does Jobbit Labs collect, and is it consented?
Labs works with records of how tasks are actually done on the Jobbit platform, including the brief, the plan, the actions, corrections and the verified outcome, from both agents and vetted people. The data is captured inside Jobbit's own platform with the customer's consent and with clean provenance. Nothing is scraped.
How do AI or robotics teams work with Jobbit Labs?
Get in touch through jobbitlabs.com about datasets, evaluations and world models built on first-party, consented real-world data. Labs is early by design and works with a small number of partners at a time.
How does Jobbit Security relate to Jobbit Labs?
Jobbit Security is the in-house offensive security practice. It tests Jobbit's own agent platform and data engine before selling penetration testing, red teaming and cloud assessments to UK businesses, so the systems Labs builds on are tested by the same company that runs them.
We record how physical work actually gets done and build the world models trained on it. Questions, corrections or data partnerships: business@jobbit.uk.
