AI Engineering
Generative AI features your users will actually rely on.
We add generative features — drafting, summarising, search, conversation and content creation — to web and mobile products and internal tools, with the controls that keep output useful and safe.
- ISO 9001 certified
- NDA on request
- You own the code
- RequestA user action in your app or tool Step 1
- GroundRetrieve your content, catalogue or policies Step 2
- GenerateThe model drafts output within a defined structure Step 3
- ValidateFilters and checks before anything is shown Step 4
- Review or publishPeople approve where it matters Step 5
Trusted by 100+ clients in 25 countries
What we offer
Our generative AI services.
Take the complete service, or just the parts you need. Every engagement is shaped around your goals, your users and your budget.
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Feature discovery
Finding where generation saves real time for your users or staff.
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Prompt and retrieval design
Grounding output in your own content so answers stay relevant.
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Product integration
Generative features built into your existing web, mobile and admin interfaces.
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Safety controls
Content filtering, output validation and clear fall-backs when the model is unsure.
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Cost management
Caching, model routing and usage limits so features stay affordable at scale.
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
How we work
How we deliver generative AI.
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
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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
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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
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Stage 3 of 6
Design and planning
- Choose models and architecture
- Design guardrails and approvals
- Agree scope, timeline and budget
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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
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Stage 5 of 6
Test and launch
- Score accuracy on real cases
- Safety and permission checks
- Phased roll-out to users
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Stage 6 of 6
Monitor and improve
- Track accuracy, cost and usage
- Alerts for anything unusual
- Regular improvements each month
Client voice
What our clients say.
In their own words, from the founders and leaders we build for. All reviews
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 generative AI:LLM APIsRAGPythonNode.jsvector searchPostgreSQL
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
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.
Explore more
Explore our full range of services.
Most clients start with one service and add others as they grow. The same team keeps the context.
FAQs
Frequently asked questions.
Anything else about generative AI? Ask us directly. A real engineer reads every message.
Will our data be used to train models?
We configure providers and contracts so your data is not used for training, and can use region-specific hosting where required.
Can this go into our existing app?
Yes. Most generative features are added to an existing product rather than built as a separate tool.


















