The human partner you need for AI transformation

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. You can improve productivity, improve morale, and increase revenue, provided you use AI judiciously.

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.

Let's have a chat to see if we're a fit.
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Curious about what artificial intelligence can do for your business?

Read on.

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AI projects we do

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.

AI engagement tracks

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.

Track
For whom?
Process
Result
AI Readiness & Strategy
For companies not sure where they can best integrate AI or don't know how ready they are for an AI transformation.
Audits, feasibility studies, and use-case prioritisation.
A clear understanding of how to get started with AI and where you should first implement AI solutions for maximum impact.
Proof of Concept / Prototype
For businesses that have identified where they want to implement AI, but want to test out before a full-scale commitment.
Rapidly validate your ideas by building a prototype AI product, without a significant investment of time, money, or change management.
Find out if you should go ahead with your existing AI plans or whether any changes should be made.
Production Build & Scale
For businesses that have trialled AI and have well-thought-out plans for AI rollout.
Integrate AI products into your system, iterate and fine-tune, and monitor the process.
Smooth integration of AI technologies and tools into your business, with stakeholder buy-in and enthusiasm.

Why teams work with us

Why Exline Labs is a trusted AI consulting partner

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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.

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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.

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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.

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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.

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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.

Our AI development process

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.

Our AI safety protocols

AI built with privacy, security, and governance in mind

our team members discussing about ai workflows for a project
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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.

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Access control & permissions

There are always clearly defined rules on data ownership, access, and timeframes of access in our contracts.

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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.

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Monitoring & auditing

All our AI products are monitored pre- and post-rollout. The products we provide ongoing support for are audited regularly.

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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.

Case studies

Our AI development projects

Testimonials

What our clients say about our work

Founders and tech leaders who work with us to develop custom AI solutions appreciate us not just for our technical expertise. They love our strong communication and reliability.

AI tech we use

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 developers have experience building with all the major LLMs in the market now.

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DeepSeek AI

Versatile tool best for customer service chatbots and data analysis tools.

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ChatGPT-4

Highly suited for sales automation

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Llama-3

Allows a balance between computational resources and performance.

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Google Gemini

Best for projects that require multimodal understating.

Our tech stack

Infrastructure
PyTorch logo
PyTorch

Used for building deep learning models like chatbots.

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Python

The go-to language for AI development work due to its simplicity, readability, and extensive libraries.

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Kubernetes

Ideal for running AI/ML workloads of containerised apps.

Hosted
Tools
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Docker

A consistent and isolated environment to put together and package AI apps.

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Hugging Face

The easy way to deploy AI models without a deep infrastructure background.

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Tensorflow

Used for analytical work in the development of machine learning models.

FAQs

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.

Let’s build AI that drives real results for your business.

Want 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.

Or email hello@exlinelabs.com and we’ll reply within 24 hours.

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