Katya Lait and her co-founder Jack officially launched nettle in January &ndash; an idea that first took shape in the summer of 2024. Now, just three months in, they are well on their way to tackling a major inefficiency in the insurance industry.
Risk engineers were spending 90% of their time buried in analysis and report writing. nettle is flipping that ratio, significantly cutting the time spent on reports and giving risk engineers back the time to do what they do best.
We spoke with Katya to hear how nettle came to life, the challenges they&rsquo;ve solved so far, and what&rsquo;s next on their startup journey.
<hr>
<h2 dir="ltr">Let&rsquo;s talk about nettle! What specific problem are you solving?</h2>
In short, we&rsquo;re making the commercial insurance market more efficient. Everything from an oil rig to a fleet of company cars can be insured but, in order for the policies to be written, these assets need to first be assessed. These assessments are carried out by professionals called risk engineers.
Risk engineers are often highly experienced and have extensive industry knowledge which makes them uniquely qualified to assess these assets. They complete the assessments in person which is perhaps the most interesting part of the job because they get to meet people, take observations, and give them suggestions to improve. Unfortunately, it's also the part of the job that takes up the least time &ndash; and it's something they'd like to go back to doing more.
Most of their time (about 90% of the job) is spent on analysis and report writing. nettle is reducing that 90% down to 10%, making risk assessments more efficient and giving back the time to do more projects and assessments. So we&rsquo;re looking at an 80% reduction in the time spent per project. In effect, that creates four times value per risk engineer in an organisation.
&nbsp;
<h2 dir="ltr">How did the idea come about?&nbsp;</h2>
Jack and I started the business together last year; the nettle of today is the combination of work we were both doing in our respective projects. The idea for the underlying technology originated from a research project I was working on at Quantum Black, which involved researching and building their pioneering multi-agent system now referred to as AgentFlow. Our focus was on automating the writing of credit memos for big banks &ndash; a document not too dissimilar to a risk engineering report.
Today's use case and the problem we tackle at nettle came from Jack, who spent six years in McKinsey working across insurance. Throughout that time, this opportunity kept coming up in strategic advisory projects for insurance enterprise clients. They wanted to grow commercial underwriting but the biggest bottleneck was this risk assessment step, which is unavoidable.
That&rsquo;s where the idea for nettle was born, and my technical skill set complemented Jack&rsquo;s vision well. We got to ideating, talking to potential customers, and went from there!
[FOUNDER IMAGE]
<h2 dir="ltr">Do you find there to be any common misunderstandings about AI when talking to customers?</h2>
We typically have two kinds of conversations.
The first is always the best. They get excited and start asking us, &ldquo;Can it do this? Can it do that?&rdquo;&nbsp; We&rsquo;ll get a list of 10&ndash;20 things they want nettle to do. It&rsquo;s great and exciting, but building the kind of features they want takes time, and we have to temper expectations a little bit in the short term. We put our users at the heart of every decision, so we prioritise the AI features that create real value and avoid adding unnecessary features just for the &lsquo;wow&rsquo; factor.
The second is more difficult. They may misunderstand what's happening, so they'll think that we&rsquo;re reading all of their data, all of their personal information. They don&rsquo;t trust the system and want us to list every single source we use.
For us, it&rsquo;s a balance. Obviously, we want to create trust within the product, but multi-agent systems are very complicated and dense in their workflows. We pull data from many sources and process them in complex ways, so we have to make tradeoffs between creating trust and not completely overwhelming them with what's going on in the background.
<h2 dir="ltr">What&rsquo;s the most exciting technical challenge that your team has solved so far?</h2>
This is super specific to a current client we're working with, but it's deploying an open-source model and building an entirely secure on-prem solution.&nbsp;
We're working in a country right now that has strict data sovereignty laws, so no customer data can leave the region. This ruled out using OpenAI or other services that would&rsquo;ve made our jobs easier. Instead, we built this multi-agent system using in-house solutions, open source models, and internal GPU and cloud servers. It was definitely intense, but we got there in the end.&nbsp;
<h2 dir="ltr">Wow! How long does it take to do something like that?</h2>
Thankfully, the way we built our agent system means replacing the underlying model is pretty quick. The challenge was working with a model that's not as smart and making it more robust with limited resources. It involved more sophisticated prompting and optimisation of the available context. But honestly, finding a GPU took the most time.
We couldn&rsquo;t rely on AWS, Azure, or Google, so it was all on-prem and fully in-house. But we&rsquo;ve learned a lot about how to build a safe and robust AI platform. When we work with clients in regions with more open data laws, we will be able to leverage the latest AI models while also delivering a highly secure solution.&nbsp;
<h2 dir="ltr">What is the biggest challenge in bringing AI products like yours to market at scale?</h2>
Scalability isn't top of mind yet. We&rsquo;re still in our first year, building bespoke versions of nettle for clients. Year Two is when we&rsquo;ll step back, consider the ecosystem of solutions we&rsquo;ve built, and focus on scalability.&nbsp;
That said, some obvious steps we&rsquo;re taking in the short-term are to distribute requests across our specialised agents, reducing unnecessary calls to APIs and building generic components we know we will reuse across all our clients. As much as we can, we cache everything and have the system learn from itself &ndash; a crucial feature for our mission to close the knowledge gap in risk engineering.
<h2 dir="ltr">That makes sense. What has been the biggest challenge in your startup so far?</h2>
Bringing AI to new markets! Beyond data sovereignty and creative use of open-source solutions as I&rsquo;ve mentioned, the biggest challenge has been translation.&nbsp;
We&rsquo;re working in a country where English isn&rsquo;t spoken, so we have a pretty sophisticated AI system that reasons in English but delivers results to the user in their language. We have a very complex workflow around this, but it's pretty bulletproof at this stage. It also means that we can support this in virtually any country moving forward.
[TEAM IMAGE]
<h2 dir="ltr">You&rsquo;re only three months in and already doing great things! How do you see your technology evolving over the next few years?</h2>
Right now, we&rsquo;re positioned as an in-house solution for a specific function in insurance companies. For Series A and beyond, we&rsquo;re considering two directions.
One is expanding into risk assessments: becoming not just a tech company, but also a service company. It&rsquo;d involve getting the most advanced hardware to do our assessments and becoming a centre of excellence on risk assessment. The other option is producing software and hardware together, bringing in drones and 3D visualisations that feed directly into our platform.
There's a lot still to be uncovered. When we come into an organisation &ndash; one of the big three insurers, for example &ndash; it's challenging to get them to migrate from their existing solutions. Often, it's not ideal and it'll never be able to support the AI things that we can do. Instead of forcing migration, we could build an AI agent that runs alongside their current system, and controls their machines to fill in reports automatically with their existing software.
<h2 dir="ltr">When it comes to AI trends, what do you find exciting?</h2>
For me, it&rsquo;s all the amazing developer tools that are coming out right now!&nbsp;
I am just so much faster. What we&rsquo;ve achieved in the past three months is fuelled by the amount and quality of the AI tools I have at my disposal. I&rsquo;ve got an AI agent reviewing all my code, catching errors I wouldn&rsquo;t have spotted. It&rsquo;s accelerated everything and made our platform so much more secure.
We're testing everything on the market right now. Anytime I hear about it's a new dev tool, I test it out immediately. It&rsquo;s exciting because the four of us can now do the work of 10 engineers.
<h2 dir="ltr">Which are your favourites? Any recommendations?</h2>
Oh yeah! I like Qodo &ndash; that&rsquo;s what I use to review my code. We use Granola for all our meetings: it's so helpful for us when we're doing tech overviews and onboarding people via Zoom. The obvious one is GitHub Co-Pilot&hellip; everyone's using that, it's fantastic. Cursor is also really good.
My all-star favourite &ndash; it's not quite a dev tool, but it's one that I use about 20 times a day &ndash; is Claude. It's my thought partner during the day; I constantly have it open to ask quick questions.
<h2 dir="ltr">And is there anything in the AI world that you think is overhyped?</h2>
Not overhyped per se, but I&rsquo;ve been underwhelmed by some built-in AI features in tools like Word or Notion. They&rsquo;re pushing them a lot, but I still see a bit more room for improvement there.
I&rsquo;m also not sold on AI personal assistants that respond to emails and manage your calendar. I've heard about people who end up having their inbox full of AI talking to each other - it kind of misses the point of an email!
[KATYA PIC]
<h2 dir="ltr">You must be incredibly busy. How do you relax outside of the work you do?</h2>
Not a whole lot these days! I&rsquo;m obviously working a lot, but I recently got an Apple Watch, so I&rsquo;m trying to be more active when I can. The way they&rsquo;ve gamified it helps me to stay motivated.
<h2 dir="ltr">Finally, if you weren't working on Nettle, what other problems would you be trying to solve with AI?</h2>
Well, this is a good opportunity to shout out another startup on the Faces of AI list &ndash; MAIHEIM. What they&rsquo;re doing is super exciting.
If I wasn't working on something industry-specific, I would definitely be in the realm of dev tools and AI for tech developers. That&rsquo;s an area that&rsquo;s going to balloon like crazy and I can&rsquo;t wait to see what comes out of the space.
<hr>
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📥 Katya is one of the 54 innovative technical founders recently featured in our 'Faces of AI 2025' report, which is available to&nbsp;<a class="article-editor-content__link article-editor-content__link" href="https://www.generativegroup.ai/reports/faces-of-ai-2025/?utm_source=linkedin&amp;utm_medium=social" rel="noopener noreferrer">download for free now.</a>
At Generative, we work with AI-driven startups to scale innovation, refine strategy, and accelerate growth. If you're building in AI and looking for the right talent to take your company to the next level, <a class="article-editor-content__link article-editor-content__link" href="https://www.generativegroup.ai/contact-us/" rel="noopener noreferrer">let's talk.</a>

Katya Lait and her co-founder Jack officially launched Nettle in January – an idea that first took shape in the summer of 2024. Now, just three months in, they are well on their way to tackling a major inefficiency in the insurance industry.

Solving Insurance’s Biggest Bottleneck: In Conversation With nettle's Katya Lait

AI innovation should be shaped by diverse voices, bringing a range of perspectives to the technology that&rsquo;s shaping our future.&nbsp;
Whether you're an AI founder, researcher, or aspiring leader, the right networks, funding, and learning opportunities can make all the difference.&nbsp;These resources are designed to help you break barriers, build connections, and accelerate your journey in AI.
<h2 dir="ltr">Funding &amp; Grants 💰&nbsp;</h2>
Funding can make or break a business, but female founders still face an uphill battle securing it.&nbsp;
Between 2012 and 2022, UK AI companies founded by women accounted for only <a href="https://www.dimensions.ai/blog/analysis-of-dimensions-data-reveals-the-global-divides-in-artificial-intelligence-capabilities/">2.1%</a> of AI startup deals and raised just 0.3% of the total capital invested by venture capitalists. What&rsquo;s more, female-founded AI startups received six times less funding per deal on average, compared to their male-founded counterparts.
Momentum is building to change this. More initiatives are tackling these barriers, pushing for fairer access to funding. If you're looking for support, check out these women-only business funding, grants, and awards for 2025:
<h4 dir="ltr"><a href="https://iuk-business-connect.org.uk/opportunities/" target="_blank" rel="noopener">Innovate UK&nbsp;</a></h4>
Innovate UK holds several awards, with some cash prizes being reserved specifically for female founders to help accelerate their business and bridge the gender gap in entrepreneurship.&nbsp;
The Women Innovation Award offers at least 20 government-backed funding awards for female entrepreneurs across the UK each year. Entries are not currently open but other <a href="https://iuk-business-connect.org.uk/opportunities/">opportunities can be found on the Innovate UK website.</a>
However, women-led businesses in the tech industry can apply for the Women TechEU Award right now. 160 winners will receive a &euro;75,000 (around &pound;63,000) prize and a personalised development programme.&nbsp;
<a href="https://iuk-business-connect.org.uk/opportunities/women-techeu-call-3-january-2025/">Applications for the Women TechEU Award are open until March 17th, 2025.</a>
<h4 dir="ltr"><a href="https://www.astia.org/" target="_blank" rel="noopener">Astia</a></h4>
Astia is a global pioneer dedicated to investing in women-led, diverse businesses. Open for applications year-round, it supports high-growth companies where at least one woman holds significant equity on par with her male counterparts.
Its funding process takes around 4-6 weeks. Along the way, businesses receive valuable feedback on their market opportunity, as well as access to expert connections and advice.
Astia funding is a suitable fit for startups that have already gained traction or market validation. This is generally identified as Series A or B, but applications are also welcomed from Seed companies with demonstrated traction.
<a href="https://astia.my.site.com/connect/s/raiseapplication">Apply via Astia&rsquo;s online portal.</a>
<h4 dir="ltr"><a href="https://femalefoundersfund.com/" target="_blank" rel="noopener">Female Founders Fund</a></h4>
Female Founders Fund was created in 2014 with the simple belief that women will build the companies of tomorrow. Since then, they have become the leading source of institutional capital for female founders raising seed capital with over $3B in enterprise value.
They offer early-stage venture capital for women-led startups.
<h4 dir="ltr"><a href="https://hatchenterprise.org/" target="_blank" rel="noopener">Hatch</a></h4>
Hatch is a community dedicated to helping founders launch, grow, and scale their business since 2014. Their programmes are designed by founders, for founders, to break down entrepreneurship barriers and empower founders with the skills, confidence, and network needed to succeed.&nbsp;
The Hatch Accelerator Programme is designed to help female-led businesses grow 10x over 10 years with mentoring and training. Plus, their Launchpad Programme helps to develop skills in business modelling, finance, communications and marketing.
Once you&rsquo;ve completed a programme, you may become eligible to apply for a business grant through the Hatch Grant Fund.
<h4 dir="ltr"><a href="https://developers.google.com/womentechmakers" target="_blank" rel="noopener">Google&rsquo;s Women Techmakers&nbsp;</a></h4>
Women Techmakers, an initiative by Google, aims to empower women in tech by providing visibility, community, and resources. Since 2013, the community has grown to over 82,000 members.
It offers funding, mentorship programmes, and events that support women in their tech careers, with a focus on education, mentorship, and networking opportunities.&nbsp;
<h2 dir="ltr">Mentorship &amp; Leadership Programmes 👩&zwj;🏫&nbsp;</h2>
Breaking into the business world is tough, and having the right guidance can make all the difference.&nbsp;
Thankfully, more programmes are stepping up to bridge the gap - offering mentorship, leadership training, and industry connections designed to help women and underrepresented groups thrive.&nbsp;
<h4 dir="ltr"><a href="http://aicompetence.org">Women in AI (WAI)&nbsp;</a></h4>
WAI is a global network dedicated to supporting and advancing women in AI. It offers mentorship opportunities, training programmes, and events designed to help women develop their skills, connect with peers and mentors, and progress in their AI careers.
<h4 dir="ltr"><a href="https://ai-4-all.org/">AI4ALL&nbsp;</a></h4>
AI4ALL provides leadership training and mentorship opportunities designed to support underrepresented groups in AI. Their aim is to inspire and empower individuals from diverse backgrounds to pursue careers in AI by offering access to high-quality resources, mentorship, and hands-on experiences.
<h4 dir="ltr"><a href="https://femalefounders.org/">Female Founders Alliance&nbsp;</a></h4>
Female Founders Alliance is dedicated to supporting female entrepreneurs in tech and AI by providing access to resources, mentorship, and networking opportunities. Founded in 2017, their programmes focus on helping women build and scale impactful tech businesses.
<h4 dir="ltr"><a href="https://rewritingthecode.org/">Rewriting the Code&nbsp;</a></h4>
Rewriting the Code offers mentorship specifically for women in AI and engineering, focusing on guiding them through their technical careers. The initiative helps participants build professional skills, connect with mentors, and overcome barriers in traditionally male-dominated fields.&nbsp;
<h4 dir="ltr"><a href="https://www.zebrasunite.org/">Zebra&rsquo;s Unite&nbsp;</a></h4>
Zebra&rsquo;s Unite is a global community that supports diverse and ethical startups by providing resources, mentorship, and networking opportunities. It is focused on fostering inclusive, socially responsible businesses, with a strong emphasis on creating positive social and environmental impact.
<h2 dir="ltr">AI Networks &amp; Communities 📢&nbsp;</h2>
Like most industries, success in the AI world isn&rsquo;t just about technical skills - it&rsquo;s also about who you know. But for women in the field, AI spaces can often feel like a boys&rsquo; club, and finding supportive and uplifting professional communities can be a challenge.
Luckily, more spaces are emerging to connect, support, and amplify women in AI. Whether you're looking for mentorship, collaboration, or a platform to share your expertise, these networks and communities are worth exploring:
<h4 dir="ltr"><a href="https://www.wiml.org/">Women in Machine Learning (WiML)&nbsp;</a></h4>
A supportive community, dedicated to shining a spotlight on women&rsquo;s excellence in machine learning and inspiring the next generation of innovators. WiML runs yearlong mentorship programmes to help women working in AI research and machine learning give and receive advice, gain knowledge, and make connections.
<h4 dir="ltr"><a href="https://www.womenwhocode.com/">Women Who Code - AI Chapter</a>&nbsp;</h4>
Women Who Code started as a community group in 2011 by a small team of engineers, seeking connection and support in the tech industry. More than a decade later, the community consists of over 360,000 technologists across 145 countries who deeply care about building a more diverse, inclusive, and equitable industry. They provide events, mentorship, and networking for women in AI.
<h4 dir="ltr"><a href="https://www.blackwomeninai.com/">Black Women in AI&nbsp;</a></h4>
A global professional membership association dedicated to the advancement of black women in artificial intelligence. Since August 2020, they have offered networking &amp; professional development for Black women in AI.
<h4 dir="ltr"><a href="https://aiethicslab.com/">AI Ethics Lab&nbsp;</a></h4>
AI Ethics Lab became active in 2017 and offers a unique approach to integrate ethics solutions into the innovation process. This includes discussion, workshops, and collaboration on ethical AI development.
<h2 dir="ltr">Learning &amp; Development 📚&nbsp;</h2>
Staying ahead in business means constantly learning, but access to the right resources isn&rsquo;t always equal. Thankfully, more initiatives are making high-quality education and training accessible.&nbsp;
From workshops to online courses, here are some top learning and development opportunities:
<h4 dir="ltr"><a href="https://course.fast.ai/">Fast.ai Practical Deep Learning Course</a></h4>
Free AI education for all skill levels - learn how to apply deep learning and machine learning to real-world problems.
<h4 dir="ltr"><a href="https://www.deeplearning.ai/courses/">DeepLearning.AI</a></h4>
DeepLearning.AI offers a comprehensive suite of courses designed to cater to various levels of expertise in AI, machine learning, deep learning, LLMs, and more
Their courses range from short certifications to full specialisation courses.
<h4 dir="ltr"><a href="https://ocw.mit.edu/courses/10-01-ethics-for-engineers-artificial-intelligence-spring-2020/">MIT OpenCourseWare: AI &amp; Ethics&nbsp;</a></h4>
This course offers a comprehensive (and free) exploration of the ethical challenges in AI development and deployment. It covers topics such as fairness, privacy, and accountability, providing an in-depth understanding of the ethical dilemmas facing AI professionals today.&nbsp;
<h4 dir="ltr"><a href="https://startup.google.com/programs/accelerator/ai-first/">AI First Accelerator&nbsp;</a></h4>
Google&rsquo;s AI First Accelerator is a programme aimed at supporting startups that are building AI-driven solutions. It offers tailored resources, mentorship, and technical assistance to early-stage AI companies to help them develop and scale their AI technologies.
You can register your interest for future events via the website.
<hr>
The future of AI should be built by everyone, not just a select few.&nbsp;
By supporting diverse founders, fostering inclusive communities, and expanding access to funding, mentorship, and education, we can create an AI industry that truly reflects the world it serves.
Whether you're launching a startup, advancing your career, or looking to make an impact, these resources are here to help you break barriers and shape the future of AI.
Looking for your next opportunity in data and AI? Let&rsquo;s talk:&nbsp;<a href="https://www.generativegroup.ai/contact-us/">https://www.generativegroup.ai/contact-us/</a>

Equitable access to resources is still one of the biggest hurdles in diversifying the AI space. That’s why we put together this extensive list, packed with funding, mentorship, and learning opportunities designed to help women and underrepresented groups break barriers in AI.

AI Equal Opportunities Resources Hub 

AI is evolving at an unprecedented pace. The companies leading AI innovation today are shaping the future of how we work, live, and interact with technology. By pushing boundaries, these pioneers are driving economic growth, enabling smarter decision-making, and changing the world as we know it by creating solutions that were once unimaginable.&nbsp; &nbsp; But who are they? &nbsp; In our latest report, we spotlight the 54 most exciting AI startups making an impact in the UK in 2025 - and the visionary founders leading the charge.&nbsp; &nbsp; These are the AI companies: &nbsp; ✅ Securing major investment ✅ Gaining market traction ✅ Applying AI in interesting, creative, and progressive ways to solve real-world challenges. &nbsp; If you want to understand where AI is heading, this report gives you an insider&rsquo;s look at the pioneers redefining industries and setting new technological standards. &nbsp; Fill in the form below to download your free copy now and discover the companies shaping the next wave of AI innovation.

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AI is evolving at an unprecedented pace. The companies leading AI innovation today and their technical leaders are shaping the future of how we work, live, and interact with technology. By pushing boundaries, these pioneers are driving economic growth, enabling smarter decision-making, and changing the world as we know it by creating solutions that were once unimaginable.
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<h4>A step-by-step guide to running meetings like a boss, including sections for:</h4>

<h3>Revolutionize your meetings.</h3> In today's fast-paced business environment, mastering the art of running effective meetigns is a crucial skill. Our ebook provides practival insights and actionable tips to help you transford your meetings into powerful sessions that drive results. Whether you're an executive manager, or a team lead, this guid is a must-have resource for enhancing productivity and collaboration in your organization. This ebook covers a wide range of topics, including agenda creation, meeting prepartion, faciitiating discussion, and folowing up effectively

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How to Run Effective Meetings [+ Free Templates]

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Shape the Future

<h3>Discover Your Dream AI &amp; Data Role</h3>&nbsp;AI &amp; Data are the future of organisations. They&rsquo;re specialisms that are redefining industries, driving innovation, and shaping direction.&nbsp;That&rsquo;s why this is so much more than finding you a job; it&rsquo;s about providing you with a platform to really showcase your skills and make a difference.

Ready to make an impact? Your journey starts here.

Check out our AI &amp; Data jobs in various industries and see where your skills could really shine. Whether it's an innovative start-up or a leading tech giant, your next opportunity&rsquo;s just a click away.

Success Stories

We ensure every level of your team is covered, from technicians to senior leaders.

Take the first step towards transforming your team's capabilities

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Specialists In&nbsp; Industry 4.0 Recruitment&nbsp;
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At Generative, we don&rsquo;t just fill roles &ndash; we help businesses build the teams they need to thrive in the era of Industry 4.0. By focusing on Automation, Data, and AI/ML.&nbsp;
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Far beyond just filling open roles &ndash; We leverage or team&rsquo;s in-depth automation and AI expertise to help streamline your hiring process and achieve your goals.&nbsp;
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If you&rsquo;re ready to build an agile &lsquo;Industry 4.0 ready&rsquo; team that understand how AI/ML, data, and automation can propel your business forward, we&rsquo;ve got the connections to secure the right talent.&nbsp;
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<h5 class="Paragraph SCXW148639536 BCX0" lang="EN-GB" xml:lang="EN-GB">The Challenges We Solve For You&nbsp;</h5>
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We address the scarcity of specialised automation talent with our in-depth industry expertise&nbsp;
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Slow recruitment processes disrupt timelines, but we deliver fast solutions to keep projects on track&nbsp;
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Traditional hiring can be expensive, so we focus on tailored, cost-effective approaches&nbsp;
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Flexible Industry 4.0 Talent

The Challenge&nbsp;
A major investment led to a significant expansion of their manufacturing capabilities, including new automation infrastructure. &nbsp;
The company needed urgent support to hire across Automation and MES roles to meet project deadlines. Existing suppliers struggled to deliver sufficient talent within budget&nbsp;
Our Solution&nbsp;
We secured 15 engineers across both disciplines, strategically located in the US and EU, and provided end-to-end support with onboarding and logistics. &nbsp;
This allowed the company to meet project timelines and successfully complete their expansion.&nbsp;

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<h2 class="Paragraph SCXW235710044 BCX0" lang="EN-GB" xml:lang="EN-GB">Proven Results&nbsp;</h2>
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<h5 class="Paragraph SCXW235710044 BCX0" lang="EN-GB" xml:lang="EN-GB">Leading Biotechnology Manufacturing Company &ndash; East Coast, US&nbsp;</h5>
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Talent Solutions

Experience X Adaptability

Transparent

Global Talent Network

A Partnership for the Future

Pair that with our hyperfocus in AI &amp; Data and you'll gain a partner who can keep you at the forefront of the AI revolution.

Integrity&rsquo;s at the heart of Generative. We operate with complete transparency and are proud to maintain the highest standards. Client or candidate, you&rsquo;ll get a fair, respectful, and inclusive experience.

The best talent might not be on your doorstep, but tech and modern ways of working means there are no boundaries. Our extensive network spans the globe, and we&rsquo;re ready to connect you with top AI &amp; Data specialists from around the world.

Choosing us means more than just finding the next addition to your workplace; it's an investment in your organisation's future. We'll help you build a dynamic, innovative team that can help you get the most from AI &amp; Data.

Why Choose Us?

With quality at the heart of all we do, we're dedicated to ensuring our solutions are not just successful, but transformative &ndash; taking your career or company to the next level.

Finding the right AI &amp; Data specialists is more than our job. It&rsquo;s our passion.

Solutions Designed for You

Securing top talent is crucial for your business's growth and advancement in AI & Data skills.

Permanent

AI’s always advancing, and our network of agile, skilled professionals is here to keep you at the forefront.

Flexible

Fractional AI experts for instant people power

People Power for an Autonomous Age

In the ever-advancing world of AI, the real game changers are the humans behind the algorithms.

We provide exceptional talent, armed with the precise skills required to architect and implement AI & Data solutions that empower organisations to shape their future.

Transforming AI & Data from buzzwords into your business’s most valuable asset.

Permanent

Flexible

Fractional

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Expertise Armed with the Precise Skills