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AI Engineering

LLM integration and RAG development grounded in your own data.

We connect large language models to your documents, databases and systems so they give accurate, sourced answers, respect who can see what, and work behind your own secure APIs.

  • ISO 9001 certified
  • NDA on request
  • You own the code
Example: LLM integration & RAGRunning
  1. IngestDocuments, databases and tickets are cleaned and chunked Step 1
  2. IndexEmbeddings and search over your content Step 2
  3. RetrievePermission-aware search for each request Step 3
  4. GatewayOne internal API routing to approved models, with logging… Step 4
  5. RespondStructured, cited output to your product Step 5
Illustrative workflow — shows the shape of the work, not a client system.

Trusted by 100+ clients in 25 countries

  • Hitachi
  • Harley-Davidson
  • Eicher
  • MoHUA
  • Forus
  • Thara Profintech
  • CANARY
  • SwiftDoc
  • GoEjar
  • Rekhta
  • Wateen
  • drinkprime
  • ITS
  • KeyBs Pay
  • Golden Swift
  • SNAPi
  • iSKIP
  • GymDoctorNow
  • Qualitas Health
  • ADT Africa Insurance Brokers
  • Drive By Estate
  • Okey Dokey
  • Protiviti India
  • Al Rabban Group
  • HFXPAY
  • Kespay
  • TigerPay
  • Rayyan Natural Water
  • Tweggo
  • DPay

In short

What is LLM integration?

LLM integration connects a large language model such as GPT, Claude or Gemini to your own documents, databases and systems. Using retrieval-augmented generation (RAG), the model answers from your information with sources, respects user permissions and runs behind your own secure gateway, so you can change models later.

Capability
AI Engineering
Best for
FinTech, Healthcare, Legal and professional services
Ways to work
Fixed scope, dedicated team or time and materials
Typical tools
OpenAI, Anthropic, LangChain, Hugging Face

What we offer

Our LLM integration & RAG services.

Take the complete service, or just the parts you need. Every engagement is shaped around your goals, your users and your budget.

  • LLM consulting and model selection

    Strategy

    We compare models from OpenAI, Anthropic, Google and open-source providers on accuracy, cost, speed and data rules, and recommend the right fit for each use case.

  • RAG pipeline development

    Retrieval

    Your documents, help centre and databases prepared, indexed and searched so the model answers from your information, with sources.

  • Enterprise knowledge search

    Search

    One place for staff to ask questions across policies, manuals, contracts and wikis, with answers that point to the original document.

  • Private LLM gateways

    Platform

    A secure layer between your apps and AI providers with authentication, usage limits, logging and the freedom to switch models.

  • Permission-aware answers

    Security

    Answers follow the same access rules as your systems, so people only see information they are allowed to see.

  • Fine-tuning and custom models

    Models

    Where it helps, models adapted to your terminology, formats or tasks, including open-source models hosted in your cloud.

  • LLM features in your product

    Integration

    Chat, search, summarisation and Q&A built into your SaaS platform, portal or mobile app.

  • Accuracy testing and monitoring

    Quality

    Evaluation sets of real questions, accuracy reports before every release, and monitoring once live.

Why clients trust us

Real products, real businesses, since 2018.

From startups launching their first app to ministries and global brands, businesses in 25 countries rely on Appsums to build, run and grow their software.

15+
years in IT
8+
years as Appsums
100+
clients
25
countries

Why Appsums

Why choose Appsums for LLM integration & RAG?

An engineering partner you can hold to account, with the experience, processes and people to deliver.

  • Accurate answers with sources

    Every answer is grounded in your content and can show where it came from.

  • No vendor lock-in

    Our gateway approach lets you change models as prices and quality change.

  • Security built in

    Permissions, encryption and audit logs from day one.

  • Data residency options

    Hosting and providers chosen to meet your regional and regulatory needs.

  • Measured quality

    Real-question test sets tell you how accurate the system is before launch.

  • Built to scale

    Architecture that handles growing users, documents and traffic.

How we work

How we deliver LLM integration & RAG.

Six clear stages from first call to a product that keeps improving. You always know what is happening, what comes next and what it costs.

  • Weekly demosSee real progress, not status reports
  • One accountable leadA single person who owns delivery
  • Written milestonesScope and budget agreed up front
  1. Stage 1 of 6

    Discovery and AI mapping

    • Find the tasks where AI saves the most time
    • Agree goals and success measures
    • Check risks and what AI must not do
  2. Stage 2 of 6

    Data and systems review

    • Review data quality and access
    • Map the systems AI must connect to
    • Plan security and data residency
  3. Stage 3 of 6

    Design and planning

    • Choose models and architecture
    • Design guardrails and approvals
    • Agree scope, timeline and budget
  4. Stage 4 of 6

    Build and integrate

    • Build the AI feature or agent
    • Connect it to your tools and data
    • Weekly demos on real examples
  5. Stage 5 of 6

    Test and launch

    • Score accuracy on real cases
    • Safety and permission checks
    • Phased roll-out to users
  6. Stage 6 of 6

    Monitor and improve

    • Track accuracy, cost and usage
    • Alerts for anything unusual
    • Regular improvements each month

Hire experts

Hire LLM integration & RAG experts.

Add the right people to your project, full-time or part-time, working your hours and inside your tools.

  • LLM engineers

    Specialists in model selection, prompting and retrieval quality.

    • RAG pipelines
    • Prompt design
    • Model evaluation
    • Cost tuning
  • Data engineers

    Engineers who prepare, clean and index your documents and data.

    • Data pipelines
    • Document parsing
    • Vector search
    • Sync jobs
  • Backend developers

    Developers who build the APIs, gateway and integrations.

    • API gateway
    • Authentication
    • Logging
    • Integrations
  • MLOps engineers

    Engineers who host, monitor and scale models in your cloud.

    • Model hosting
    • Monitoring
    • Scaling
    • Security

Client voice

What our clients say.

In their own words, from the founders and leaders we build for. All reviews

  • The developers at Appsums did 8 apps for our company so far all published by GooglePlay and the App Store. They are committed, diligent, cost-effective and deliver results quickly. They fix bugs with relentless efficiency and I would highly recommend them if you need an app or website to be custom built.

    Dr Richard McMahon Dr Richard McMahonCEO / Founder, SwiftDoc Pty Ltd
  • Azad & his co-worker, I found them most technical and prompt in giving solutions to my requirements. They have all guts to go beyond what you think and bring to them. I would definitely recommend this team to go with it.

    Ryan Kuriakose Ryan KuriakoseCEO / Founder, Orphidia
  • The team delivered beyond my expectation as in the early stages I was little hesitant in choosing this small team for Video Streaming project, but team at appsums proved me wrong by all means. I would simply recommend Appsums to any.

    Zaid Sameer Zaid SameerCEO / Founder, Zee Media
  • We required a complex set of apps to be published in the App Store and Google PlayStore for clients to use worldwide. The apps must talk to a central database and rely on numerous APIs and custom coding which all works seamlessly. The team are very experienced with years of post Graduate experience in computer science and programming. The simple fact is that they deliver and we would not hesitate to use them again for any app coding, web design, SEO, API development, app publishing, debugging, website design and cloud computing, cloud servers, SSL functions, database management and on-going IT support. It is a rare thing indeed to find a company that is as dedicated to your success as the team at Appsums.

    Hannah Elman Hannah ElmanCFO, SwiftLaw Pty Ltd
  • My experience with AppSums has been from the beginning extremely trustful and transparent, which I think is the key factor when you are outsourcing the development of a product overseas.

    Alberto Martin Alberto MartinManaging Director, Quiero Inc
  • I contacted the Appsums team a couple of months ago through LinkedIn. I asked them to create and take care of my professional website in UAE. Mr. Azad immediately proved to be competent and available. I definitely recommend Appsums and Mr. Azad to my Colleagues and friends!

    Dr Sergio Velanti Dr Sergio VelantiMD | CEODubai, UAE
  • Working with Appsums technology has been a wonderful experience. They went above and beyond to transform a concept into a reality. We asked them for the world, and they gave us a whole universe.

    Sophie Solimini Sophie SoliminiCEO / FounderToronto, Canada
  • Working with Appsums has been one great experience. They are great in understanding the requirements but what is more important team is very flexible in implementing feedback and doing iteration loops.!

    Ivan Andabak Ivan AndabakCEO / Co-FounderZagreb, Croatia
  • We have provided Appsums a very tight timeline to build an App for our Company and their team exceeded our expectations. They completed my dream Project Couture Singapore in very less time.

    Kia Lim Kia LimCEO / Founder, Couture Singapore
  • We’ve been working with them for over 2 years now and we couldn’t be happier with the extreme value they’ve brought to us. Azad and Hashim were by our side throughout all the steps of our Patients Education Mobile App development from beginning discovery phase to screens designs to implementing processes and features, making sure everything was how we intended it every step of the way. They are true Business PARTNERS.

    Danish Khan Danish KhanZonal Account Manager, Novo Nordisk
  • I have been connected with the team for a few years and my experience has been really good. I have worked on several projects with the team and every time Azad and his team exceed my expectations. They work great because they share everything transparently and there are never any surprises for me. I continue to work with them on several other projects.

    Ankur Bhardwaj Ankur BhardwajCEO / Founder, Flexus Solutions, LLC
  • I had a product was developed in bad way and I almost lost it but then AppSums team took it over and fixed everything and we are almost finished, my product will see the lights soon inshallah because of them

    Areej Alyousef Areej AlyousefBusiness Demand Manager, Mobily & stcPay

Long-term partnerships

Work such as Thara Profintech's investment platform in Kuwait continues as an ongoing engineering partnership, release after release.

Clients across regions

Delivery for clients in the GCC, Africa, Asia, Europe and North America.

References on request

During evaluation we arrange conversations with clients in similar sectors.

Industries

LLM integration & RAG across industries.

We know the rules, users and systems of the industries we work in, so you spend less time explaining and more time launching.

LLM integration & RAG for

FinTech

Policy and product Q&A for staff, and customer answers that follow regulatory wording.

Explore FinTech

Technologies

The technology we build with.

Popular, proven tools that are easy to grow and easy to hire for, so your product is never locked in to us.

Most used for LLM integration & RAG:

OpenAIAnthropicLangChainHugging FacePythonFastAPIPostgreSQLElasticsearch

Web and mobile

  • React
  • Next.js
  • Angular
  • Vue.js
  • TypeScript
  • JavaScript
  • Tailwind CSS
  • Flutter
  • Dart
  • Swift
  • Kotlin
  • Jetpack Compose
  • Android
  • iOS
  • Ionic
  • Figma

Backend and data

  • Node.js
  • Express
  • NestJS
  • Python
  • Django
  • FastAPI
  • PHP
  • Laravel
  • .NET
  • Spring
  • GraphQL
  • Socket.IO
  • MongoDB
  • PostgreSQL
  • MySQL
  • MariaDB
  • Redis
  • Elasticsearch
  • Firebase
  • Supabase
  • Prisma

Cloud and DevOps

  • AWS
  • Google Cloud
  • DigitalOcean
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • Jenkins
  • Nginx
  • Grafana
  • RabbitMQ
  • Kafka
  • Jest
  • Cypress
  • Selenium
  • Postman
  • Jira

AI and integrations

  • OpenAI
  • Anthropic
  • Gemini
  • Llama (Meta)
  • LangChain
  • Hugging Face
  • PyTorch
  • TensorFlow
  • Ollama
  • NumPy
  • Pandas
  • scikit-learn
  • Stripe
  • PayPal
  • Twilio
  • WhatsApp Business
  • Google Maps
  • Shopify
  • WordPress

Security and trust

Security, privacy and IP built into how we work.

Security by design

  • Secure architecture and code reviews
  • Encryption in transit and at rest
  • Vulnerability checks before release
  • Dependencies kept up to date

Data protection

  • Least-privilege, role-based access
  • Separate test and live environments
  • Hosting in the region you choose
  • Credentials handed back at the end

Contracts and IP

  • NDA signed before detailed talks
  • You own all code, designs and data
  • Clear scope and statements of work
  • Confidentiality for every team member

Quality and governance

  • ISO 9001 certified quality management
  • Documented, audited processes
  • Progress and risk reports every sprint
  • Release checklists and sign-off
ISO9001

ISO 9001 certified. Quality you can rely on.

Our quality management system is independently certified, so every project follows documented, audited processes from kick-off to support.

FAQs

Frequently asked questions.

Anything else about LLM integration & RAG? Ask us directly. A real engineer reads every message.

What is RAG?

Retrieval-augmented generation. The system first finds the most relevant parts of your documents, then the model writes an answer using only that information.

Why not just use ChatGPT?

Public chat tools do not know your private data or permissions. Integration gives accurate, sourced answers inside your own secure systems.

Can data stay in our country or region?

Yes. We can host data and choose providers that meet your residency rules.

What happens when our documents change?

New and updated content is picked up automatically, so answers stay current.

Can we change AI models later?

Yes. The gateway we build lets you switch models without rebuilding your product.

How do you measure accuracy?

We build a test set of real questions with correct answers and score every release against it.

Ready to talk about LLM integration & RAG?

Tell us what you have in mind. A real engineer will reply within one business day, and we are happy to sign an NDA first.