The human partner you need for AI transformation.
Integrating and introducing custom AI solutions the right way can bring many benefits to a UK SME or a startup. Exline Labs collaborates with you to implement generative AI development that suits you and deliver measurable business impact.
Ready to chat about how we can help you with AI? Let's have a call and see where it goes.
Custom AI solutions we specialise in.
01
AI knowledge assistants for internal teams (RAG)
Retrieval-Augmented Generation (RAG) is an AI expert trained on your organisation's proprietary data. They are an ideal solution for HR or technical departments to act as a single source of truth regarding SOPs or policies.
We can develop you internal knowledge assistants from scratch, starting with deciding on scope, curating knowledge, and then developing and integrating with the right tech stack.
Centralise your information, cut down on time spent on retrieving information, and quickly fill in the knowledge gaps of new team members.
02
Lead qualification & routing automation
Conversational AI agents can handle initial discovery questions and assess the fit of prospects who visit your site or app. They can then route the leads to a human sales agent, making sure the lead is qualified and ready for a sales conversation.
What's more, AI agents are way faster than human salespeople, instantly responding to queries on websites, bringing fast lead qualification to your pipeline.
Our tried and tested process can train you agents that would complement your sales team.
03
Document processing (invoices, claims, contracts)
Automate the admin work of regular payments and standard contracts to free up your finance and HR teams.
AI document processing is a great way to reduce your operational costs and speed up administrative tasks.
If you're looking to scale, document processing can be a great place to introduce AI in your business. We can help you get going, from document capture to data extraction to integrating the processes.
04
Customer support copilots
Looking to reduce your average handling times and increased volumes of tickets?
AI chatbots allow your agents to focus on more serious queries from customers, dealing with questions that need a general response. They can also analyse service feedback and send customers follow-up and thank you emails, post-interaction.
We combine NLP and machine learning to build you chatbots that are then trained on your in-house data.
05
Sales & proposal automation
Manually drafting your sales material is slow and error-prone. It creates bottlenecks in your sales pipeline and takes your sales team's time away from closing deals.
AI can personalise outreach, send follow-ups, and automate standard proposals, allowing your sales team to focus on higher-priority tasks.
Our AI development specialist can build you the exact sales automation tool you have in mind to accelerate your sales cycles.
06
Predictive analytics & forecasting
Machine learning algorithms can analyse historical data, identify patterns, and predict outcomes for your sales and finance departments. The speed and accuracy far exceed manual analysis or traditional software.
AI in predictive analytics is an excellent way to address operational inefficiencies and better financial pattern detection. We can help you implement the solution that would work best for your situation.
07
Workflow automation
AI can automate repetitive tasks in your workflow, triggering actions on pre-defined rules.
It reduces human error and saves time, allowing your staff to work on tasks that require their judgment, like training and onboarding.
We combine business process automation, with machine learning and NLP to build our clients the automations to streamline their internal workflows.
Choose the right AI approach for your business.
Not everyone should do AI the same way. The best solution for you and the starting point depend.
For companies not sure where they can best integrate AI or don't know how ready they are for an AI transformation.
For businesses that have identified where they want to implement AI, but want to test out before a full-scale commitment.
For businesses that have trialled AI and have well-thought-out plans for AI rollout.
Audits, feasibility studies, and use-case prioritisation.
Rapidly validate your ideas by building a prototype AI product, without a significant investment of time, money, or change management.
Integrate AI products into your system, iterate and fine-tune, and monitor the process.
A clear understanding of how to get started with AI and where you should first implement AI solutions for maximum impact.
Find out if you should go ahead with your existing AI plans or whether any changes should be made.
Smooth integration of AI technologies and tools into your business, with stakeholder buy-in and enthusiasm.
Why Exline Labs is a trusted AI consulting partner.
UX-first AI adoption
Like all our services, our AI products are made with a UX focused audit and user interviews first. We put humans first and see where AI would fit best, rather than the other way round.
Integration-first engineering
We think of systems and integration, instead of forcing AI wherever possible. AI products are only recommended when they would improve your overall workflows and results.
Quality & evaluation gates
Our AI flows have quality and evaluation stops built into them. This minimises hallucinations of AI tools and allows human judgment to correct course.
Privacy-aware deployment options
We build our AI solutions using open source tech and deploy locally. This ensures the privacy of your data. No one else can access your proprietary material.
Long-term optimisation mindset
Exline Labs operates with a long-term AI consulting partner's mindset. We think of AI as a way to deliver sustainable business results, not as a fad to jump on because everyone is doing it.
How we take your AI idea into a full-fledged product.
01
Discovery & use-case definition
- The initial discovery call we have would be about where you stand in your AI transformation process and what next steps would be best for you (if you need AI, that is).
- We start with an audit of your systems and interviews with stakeholders. Exline Labs has a UX-first philosophy, where we put humans first and see where AI would fit.
- The findings from the audit would be used to define the best use cases of AI in your systems.
02
Data access & feasibility
- Once both you and I have agreed upon the plan, you can provide us with data access to develop and train our AI model.
- We will do a feasibility assessment on your data, checking if the quality of data, volume, and labelling is enough to train a product that is functional.
- You retain the rights to all your data. We only get access to the necessary data on an as-needed basis.
03
Prototyping & evaluation
- We develop a prototype AI product to test out, trained on a sampling of data.
- The prototype is evaluated and tested before being fully implemented and integrated.
- We course correct, adjust, and streamline, based on prototype evaluation results.
04
Integration & security
- Once the prototype is evaluated and finetuned, we develop the integration plan of placing the product into your existing software and workflow.
- We take security seriously, so data safety is given paramount importance during planning.
05
Testing & rollout
- The product is run through QA and final tests.
- Rollout is implemented.
06
Monitoring & improvement
- Once the product is rolled out, we monitor the behaviour of AI.
- The product is updated and improved based on data and user feedback.
AI built with privacy, security, and governance in mind.
Data handling principles
We operate with clear, shared objectives in all projects. So we only collect and solicit data that is necessary and fit for the purpose.
Access control & permissions
There are always clearly defined rules on data ownership, access, and timeframes of access in our contracts.
Human-in-the-loop workflows
Exline Labs never outsources all our work to AI or develops AI frameworks for you that lack human oversight. Our generative AI development is done with human oversight, with AI integrated only as necessary. The AI workflows and products we make for clients have built-in human presence to counter hallucinations.
Monitoring & auditing
All our AI products are monitored pre- and post-rollout. The products we provide ongoing support for are audited regularly.
When AI is not the right solution
If AI is not right for you or if there's a better solution, we would tell you right at the discovery call - saving you time and money.
Our AI development projects.
40Love: How a mobile app took this sports tech startup to the growth stage.
We designed a cross-platform mobile app for 40Love to take their web platform, which was struggling with UI and UX issues.
The new hybrid mobile app simplified match management and leaderboards for 40Love's users: tennis players, coaches, and club managers.
50%
Increase in user engagement90%
Increase in player tournament registrations.35+
New clubs joined
Don't take our word for it.
Germany
Communication was always followed up and deliveries were on time. They were always available for additional help and support. This is not what I experienced with the agency I used before — with Exline I always knew exactly where the project stood.
Christian Mühle
Managing Director of IDEA Data Solutions GmbH
Our tech stack & models.
Gen AI models we work with
We choose the model to use based on the project and our team of expert.
AI developer have experience building with all the major LLMs in the market now.
DeepSeek AI
Versatile tool best for customer service chatbots and data analysis tools.
ChatGPT-4
Highly suited for sales automation.
Llama-3
Allows a balance between computational resources and performance.
Google Gemini
Best for projects that require multimodal understanding.
Our tech stack.
Infrastructure
PyTorch
Used for building deep learning models like chatbots.
Python
The go-to language for AI development work due to its simplicity, readability, and extensive libraries.
Kubernetes
Ideal for running AI/ML workloads of containerised apps.
Tools
Docker
A consistent and isolated environment to put together and package AI apps.
Hugging Face
The easy way to deploy AI models without a deep infrastructure background.
Tensorflow
Used for analytical work in the development of machine learning models.
Let us know your need.
Before your discovery call, we research your idea and come prepared with findings, not just questions.
Answering your artificial intelligence development questions.
How much would it cost?
We can share a detailed quote once you share some specifics about the product you have in mind.
How long does it take to develop an AI product?
It doesn't take that long. Usually, we can go from the discovery call to deployment in about 12 weeks.
What about the privacy of our data?
We use open source tools and ecosystems, with local deployment to develop your project. Therefore, your data is not shared with third parties.
Who owns the AI models you develop?
You. We do all our development projects on a work-for-hire basis. Clients own all rights for the work we do on their behalf.
Do you provide AI integration services for existing workflows and systems?
Yes, we do. We can provide consulting services on how best to integrate AI into your product and processes as well.
Do you provide monitoring and ongoing support for the AI products you develop?
Yes. We provide updates, scaling, and monitoring services for all products we develop.
Who owns the intellectual property rights of AI products you develop?
The client does. We provide all our services on a work-for-hire basis.
How much would it cost?
We can share a detailed quote once you share some specifics about the product you have in mind.
What about the privacy of our data?
We use open source tools and ecosystems, with local deployment to develop your project. Therefore, your data is not shared with third parties.
Do you provide AI integration services for existing workflows and systems?
Yes, we do. We can provide consulting services on how best to integrate AI into your product and processes as well.
Who owns the intellectual property rights of AI products you develop?
The client does. We provide all our services on a work-for-hire basis.
How long does it take to develop an AI product?
It doesn't take that long. Usually, we can go from the discovery call to deployment in about 12 weeks.
Who owns the AI models you develop?
You. We do all our development projects on a work-for-hire basis. Clients own all rights for the work we do on their behalf.
Do you provide monitoring and ongoing support for the AI products you develop?
Yes. We provide updates, scaling, and monitoring services for all products we develop.
Let’s build AI that drives real results for your business.
Tharsh Thangavadivel
Founder, Exline LabsWant to discuss how we could develop AI products that would fit your business goals and give you tangible benefits? Let’s get on a no-pressure call and talk.