What Is Jobbit? Inside the UK AI Agent and Human Network: Jobbit.uk, Jobbit Labs and Jobbit Security (2026)

Most AI companies stop at the screen. They will draft your email, summarise your PDF and write your code, and then hand the work back to you the moment it needs a hosted website, a signed-off invoice, a vetted person on site or a security test that a scanner cannot do. Jobbit was built for the part after that. It is a UK company with three connected divisions: an AI agent and human network at jobbit.uk that gets work finished, a research division at Jobbit Labs that records how real-world work is done and trains world models on it, and an offensive security practice at Jobbit Security that finds weaknesses before an attacker does.

This is our "about us", written the way we would want to read one: what each part does, who it is for, what it costs, what we believe and where it is all going. If you are a small business owner, a freelancer, a researcher, a security lead or a partner deciding whether to work with us, everything you need is on this page. Our line for all of it is short: bringing AI to the physical world.

Jobbit at a glance

All three share one company, one team in London and one loop, which we explain below.

The problem we set out to solve

Ask any small business owner what "using AI" looks like in practice and you get the same list: a chat tool for writing, a second tool to build the website, a third to make the images, a marketplace to find a designer when the AI version is not good enough, and a spreadsheet to keep track of who was paid. Every tool does one job and then stops. Nothing finishes.

The gap is bigger the closer work gets to the physical world. A language model can write the quote for a boiler service; it cannot service the boiler. It can describe how to splice a fibre line; it has never seen one spliced. Frontier models were trained on the internet, and the internet has no record of how a machine gets serviced, an order gets picked or a leaking tap gets fixed. That is the data gap Jobbit Labs exists to close, and it is the same reason the Jobbit agent hands work to people when a person is what the task needs.

So we built one place where a task starts as a sentence and ends as a result: a file, a hosted app, a finished automation, a research report, a completed job by a vetted expert, or a security report with a prioritised fix list. The agent does what software can do. The network does what people do. Everything that happens in between is recorded, with consent, so the next version of the agent is better than the last.

Jobbit.uk: the AI agent and human network

Jobbit.uk is where most people meet us. It starts from a chat box, but the output is real work rather than a wall of text.

What the agent does

Describe the job in plain language and Jobbit routes it to the right agent, workflow, file generator, app builder or expert flow. You do not pick a tool first. The main things it does today:

• Web apps and websites. Polished web apps with UI, data, authentication, payments and hosting, built from a brief and kept on Jobbit's own hosting. The free website guide shows what a first site looks like.

• Automations. Schedule repeat work, connect tools and let the agent run it: reports on a Monday, follow-ups after a sale, a check on a competitor's prices.

• Documents. Create, edit and export documents, spreadsheets, PDFs and slide decks, from a one-page invoice to a 40-page tender response.

• Research. Search sources, verify claims and turn the findings into a report with citations, rather than a confident paragraph with none.

• Media. Generate and edit images, video, voice and music from the same thread as the rest of the job.

• Free online tools. Simple forms for the everyday jobs, such as a QR code, a PDF compressor, an image resizer and an invoice generator, that teach the pattern without asking anyone to write a prompt.

Everything stays in a workspace: files, app previews, task runs, research reports, expert jobs and hosted projects, so the second task builds on the first instead of starting again. You can ask for revisions, change the format, add sources or shorten a draft without re-briefing.

The human network

The part that makes Jobbit different from a chat assistant is that it can hand work 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 job stays in the same workspace as everything else.

For freelancers, Jobbit Pro is a marketplace where the admin has already been done by the time a job arrives: a clear brief, a fixed scope and a protected payment. Our guide to the 12 jobs an AI agent can do for a business this week covers the other side of that relationship.

How a task flows: Assign, Execute, Record, Improve

Every task on Jobbit runs through the same four stages, and the stages are the whole company in miniature.

1. Assign. The brief is written or refined by the agent and routed to the right tool, agent or vetted human.

2. Execute. The work is done: code is written and deployed, the document is produced, the expert completes the job on site.

3. Record. The instructions, the plan, the actions, the corrections and the verified outcome are captured inside the platform, with the customer's consent.

4. Improve. Those records become the training and evaluation data for the next generation of agents and for the world models Jobbit Labs is building.

Anyone can bundle tools. Almost no one 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 the moat, and the data engine beneath it is what Jobbit Labs is built on.

What it costs

Jobbit is free to start and priced in pounds for UK businesses. The full breakdown is in the pricing guide; the short version:

There is no card on the free plan, no watermark on what you make and no lock-in: the files, the code and the exports are yours. Expert jobs on the human network are priced per job, with escrow protecting both sides.

Twenty languages, one platform

Jobbit's product and blog are available in 20 languages, from English, Spanish, French, German and Italian to Arabic, Hindi, Japanese and Korean, and the agent works in whichever language the task arrives in. The company, the pricing and the human network are UK-first, which matters for tax, contracts and payment rails, but the software does not care where the reader sits.

Jobbit Labs: real-world data and world models for physical AI

Jobbit Labs is the research and development division. Its job is to build the data that frontier AI does not have, and the models that need it.

The data the internet does not have

Language models learned from text. Image models learned from photos with captions. Neither learned how a warehouse pick is done under time pressure, how an HVAC engineer diagnoses a fault, how a fibre line is spliced or a weld is checked. No public record of that work exists step by step, with context, corrections and verified outcomes. Jobbit Labs produces exactly that, first-party, as a by-product of the platform operating:

• Real-world trajectories. Brief, plan, actions, mid-task uncertainty and the verified outcome, not a tidy summary written afterwards.

• Multimodal by default. Text, photos and video of physical work 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.

World models, and why the constraint is data

World models are AI systems that predict the outcome of an action in the physical world before it is taken. They are widely seen as the step after language models, and the constraint is not compute but data. A world model does not predict the next video frame pixel by pixel; it learns in an abstract latent space, encoding the current state, predicting where an action leads and correcting itself against what actually happened. That is the principle behind joint-embedding predictive architectures, or JEPA, and Jobbit's recorded trajectories are exactly the raw material: physical states and the actions between them.

What is already running

Labs is early, deliberately, but the engine is not a slide. The orchestration layer that routes every Jobbit task to the right tool, agent or human, and labels each completed task for training, runs live on jobbit.uk today. So does the capture loop. The research builds directly on top of production, which is the difference between a dataset you can buy and one you can trust. Labs works with AI and robotics teams, enterprises with physical operations and research partners; the careers page lists the roles we are hiring for in London.

Jobbit Security: penetration testing and red teaming for UK business

Jobbit Security is the offensive security practice. In the age of AI, an organisation can be critically vulnerable without knowing it, and the tools that made attackers faster have not made scanners smarter. So the work is done by hand.

What we test

• Web, network, cloud, API and mobile penetration testing. Manual, depth-first testing across the full attack surface, including authenticated, business-logic and chained-exploit paths a scanner cannot reach, mapped to OWASP and NIST SP 800-115.

• Cloud security assessment. How AWS, Azure or GCP is actually configured and operated: identity, exposure, privilege escalation and lateral movement, reviewed against provider and CIS benchmarks, plus container, Kubernetes and CI/CD pipeline review.

• Red team operations. Goal-based, intelligence-led simulations modelled on real adversary behaviour, combining digital, physical and social-engineering paths, with purple-team work to tune detection and response.

• Vulnerability assessment. Broad, repeatable, analyst-validated scanning across the estate, with scheduled re-scans to prove remediation and control drift.

• Social engineering and phishing. Controlled phishing, vishing and pretext campaigns that measure human risk and feed awareness training, never blame.

• Security consulting and vCISO. Strategic leadership and compliance readiness without a full-time hire.

How we work

UK-based team, NDA by default, fixed scope and fixed price, retest included. Engagements are led by experienced consultants who chain flaws and exploit business logic, so the report is prioritised risk with clear remediation, not a wall of unranked alerts. Frameworks: OWASP, NIST SP 800-115, PTES, MITRE ATT&CK and CREST-aligned methodology. Every engagement starts with a scoping call, and the deliverable is written for the people who have to fix things, and for the board that has to sign off the budget.

Why security sits inside an AI company

Two reasons. First, 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. Second, the same AI that lets a business build an app in an afternoon lets an attacker find the app's weaknesses in an hour. A company that builds with AI should be able to defend with it, and Jobbit Security is where that expertise lives.

How the three divisions fit together

Think of it as one loop viewed from three angles. Jobbit.uk is where work is assigned and executed, by agents and by people. Jobbit Labs is what that work teaches: the recorded trajectories become datasets and world models that make the next agent more capable, especially in the physical world. Jobbit Security keeps the whole system, and our customers' systems, tested against the people who would like to break it. Each division has its own website, customers and team, and each one makes the other two stronger.

If you compare us with the general assistants, the honest picture is this: ChatGPT, Claude, Gemini, Microsoft Copilot, Manus and Meta's Muse are excellent at the screen part of work, and several now run tasks on their own. What they do not have is a human network to hand work to, hosting for what they build, a consented record of real-world work to learn from, or an in-house security practice. Our comparison of multipurpose AI agents sets that out tool by tool.

What we believe

• Finished beats generated. A draft is not a result. We measure ourselves on work that is done: deployed, delivered, paid, fixed.

• Humans where humans win. Judgement, craft, presence and accountability are not bugs to be automated away. The network is the product, not a fallback.

• Consent and provenance. Data that trains our models is captured inside our platform, with permission, with clean lineage. We do not scrape, and we can show where every record came from.

• Honest pricing. Free means free, with no card and no watermark. Paid plans are priced in pounds and explained in full before you pay.

• Your files are yours. Code, documents, exports and the logo you made on Tuesday leave with you whenever you like.

• Test yourself first. We run offensive security on our own systems before we sell it to anyone else.

Who is behind Jobbit

Jobbit Ltd is a UK company based in London. It was founded by Daniel Willis, the chief executive, whose background is in product, finance and cross-border operations, and it is built with Mathew Dyrin, the chief technology officer, whose background is in cybersecurity and backend engineering, which is why Jobbit Security is an in-house practice rather than a partnership. The wider team spans engineering, research, legal and the vetted specialists on the Jobbit Pro network. The registered office is at 124 City Road, London EC1V 2NX.

How to work with us

• Businesses and freelancers: start free at jobbit.uk. Give the agent one real task from your week and judge the result.

• Freelancers and specialists: join the human network at pro.jobbit.uk. Jobs arrive briefed, scoped and with payment protected.

• AI, robotics and enterprise teams: talk to Jobbit Labs about datasets, evaluations and world models built on first-party, consented real-world data.

• Security leads and founders: book a scoping call with Jobbit Security for a penetration test, red team engagement, cloud assessment or vCISO support.

• Press, partners and everyone else: support.jobbit.uk for product questions, and the contact forms on each site for partnerships.

Republishing this article

Partners and publications are welcome to republish this page in full or in part. Please keep the links, credit "Jobbit" with a link to https://jobbit.uk/, and add a canonical link to the original at https://jobbit.uk/en/blog/what-is-jobbit-ai-agent-human-network-2026 so search engines attribute it correctly. A short boilerplate you can use:

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.

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. Two further divisions, Jobbit Labs for real-world data and world models and Jobbit Security for penetration testing, share the same company and team.

Is Jobbit free to use?

Yes. The free plan gives you 100 credits a day with no card and no watermark, enough for everyday tasks and the free online tools. Paid plans start at £15 a month for Plus, with Pro at £79 and Max at £159, and each adds credits, concurrent tasks and hosting capacity. Expert jobs on the human network are priced per job.

What is the difference between Jobbit and Jobbit Pro?

Jobbit.uk is the customer side, where you give the agent tasks and hire experts. Jobbit Pro at pro.jobbit.uk is the freelancer side, where vetted specialists receive briefed, scoped jobs with payment held in escrow until the work is accepted. They are two doors into the same platform.

What does Jobbit Labs actually do?

Jobbit Labs records how real-world tasks are performed, step by step, inside the Jobbit platform and with consent, and builds datasets, evaluations and world models on that data for AI and robotics teams. The orchestration and capture loop already runs in production on jobbit.uk; the research is built on top of it.

What services does Jobbit Security offer?

Manual penetration testing across web, network, cloud, API and mobile; cloud security assessments for AWS, Azure and GCP; goal-based red team operations; vulnerability assessment; phishing and social-engineering simulation; and security consulting or vCISO support. Work is UK-based, under NDA, at a fixed scope and price, with a retest included, and aligned to OWASP, NIST SP 800-115, PTES and MITRE ATT&CK.

Is Jobbit a UK company?

Yes. Jobbit Ltd is based in London, prices in pounds, and its human network, security practice and payment rails are built for UK businesses first. The product and the blog are available in 20 languages, so customers elsewhere can use it in their own language.

Can Jobbit replace my freelancers or my agency?

Not entirely, and it is not meant to. The agent does the screen work fast and cheaply, and the network brings in a person where judgement, craft or presence is needed. Most customers end up doing more with the same people, because the brief, the drafts and the admin arrive done.

How do I get in touch?

Start with a task at jobbit.uk, or use support.jobbit.uk for product questions. For research partnerships go to jobbitlabs.com, and for a security scoping call go to jobbitsecurity.com. Each site has its own contact route so the right team answers.