Build Intelligent AI-Powered Apps
AI-Powered Apps & Platforms services
What if your app could think, learn, and adapt on its own? We architect, build, and deploy AI-powered applications from the ground up — machine learning pipelines, natural language processing, computer vision, predictive analytics, and intelligent automation. Your vision, powered by artificial intelligence.
What We Actually Build For You
Not just “another chatbot” — we build AI systems that solve real business problems. Here’s how we turn your data into intelligent, production-ready applications.
Machine Learning Models
We design, train, and deploy custom ML models tailored to your business data. From classification and regression to deep learning — built to deliver accurate predictions at scale with continuous learning and model versioning.
Natural Language Processing
Chatbots, sentiment analysis, text summarization, language translation, document parsing — we build NLP systems that understand human language at scale. Your app communicates naturally while processing millions of text inputs with precision.
Computer Vision Systems
Object detection, image classification, facial recognition, OCR, video analytics — we build vision systems that see and understand visual data. Your app processes images and video feeds in real-time with enterprise-grade accuracy.
Predictive Analytics
Demand forecasting, churn prediction, anomaly detection, recommendation engines — we build analytics systems that see the future in your data. Every prediction drives smarter decisions and measurable business impact.
Intelligent Automation
Workflow automation, document processing, smart routing, decision engines — we build AI systems that automate repetitive tasks and complex business processes. Your team focuses on what matters while AI handles the heavy lifting.
LLM & GenAI Integration
GPT, Claude, Gemini, LLaMA, fine-tuned models — we integrate large language models into your applications with RAG pipelines, prompt engineering, vector databases, and guardrails. Your AI assistant is smart, safe, and aligned with your business logic.
What Kind of AI App Do You Need?
Every AI project starts with a question: what problem are you solving, and what data do you have?
AI-Powered Web Apps
Intelligent dashboards, smart search engines, AI content generators, recommendation platforms — we build web applications with AI at their core that transform how users interact with data.
Tell us your needsConversational AI & Chatbots
Customer support bots, virtual assistants, voice-enabled interfaces, and multi-turn dialogue systems. We build AI that talks, understands context, and resolves issues without human intervention.
Share your visionIndustry-Specific AI Solutions
Healthcare diagnostics, legal document analysis, financial fraud detection, manufacturing quality control — we build domain-specific AI that understands the rules, compliance, and workflows of your industry.
Share your industryData Pipelines & MLOps
ETL workflows, feature stores, model training pipelines, A/B testing infrastructure, and monitoring dashboards. We build the backend systems that keep your AI models accurate, reliable, and continuously improving.
Start your projectAI Mobile Apps
On-device ML, real-time image recognition, voice commands, smart recommendations — we build mobile apps with embedded AI that work fast, even offline, using optimized models for iOS and Android.
Discuss your appAI-as-a-Service Platforms
Build once, serve many. We create AI platforms with API endpoints, usage-based billing, and developer documentation — so your customers can integrate your intelligence into their own products.
Explore optionsHow We Make It Happen
Building an AI application is not magic — it is method. Here is how we take you from “raw data” to “intelligent system in production.”
Discovery & Data Audit
We analyze your business problem, available data, and AI feasibility. We identify the right ML approach, map data sources, assess data quality, and define success metrics that matter to your business.
Data Engineering & Prep
Our engineers build data pipelines — ETL workflows, feature engineering, data cleaning, labeling, and augmentation. We prepare your data so models can learn effectively from it.
Model Development & Training
We build and train your AI models — experimenting with algorithms, tuning hyperparameters, and validating performance against real-world benchmarks. No black boxes, full transparency on accuracy and limitations.
App Integration & UI
Once the model works, we wrap it in a beautiful application — APIs, dashboards, mobile interfaces. Your AI becomes a product people can actually use, with intuitive UX that hides the complexity underneath.
Testing & Deployment
Rigorous model evaluation, A/B testing, edge case handling, bias checks, and performance monitoring. We deploy with CI/CD pipelines, model versioning, and rollback strategies for zero-downtime releases.
Monitoring & Retraining
Post-launch, we monitor model drift, track prediction accuracy, and retrain models with new data. Your AI keeps getting smarter because we never stop improving it.
Our Tech Arsenal
The frameworks, libraries, and platforms behind every AI application we ship
Python
PyTorch
TensorFlow
OpenAI
LangChain
Hugging Face
React
Node.js
PostgreSQL
MongoDB
Redis
AWS
Azure
Google Cloud
Docker
Kubernetes
What’s Included
Know Before You Build
When you choose INNERLUXES for AI development, we start with a free feasibility assessment. We analyze your data, evaluate AI/ML approaches, and tell you honestly whether AI is the right solution for your problem — before a single model is trained.
No hype, no buzzwords. Just a clear, data-driven assessment of what’s possible, what it will take, and what ROI you can realistically expect.
Expert Review of Your AI Systems
Already have an AI system that’s underperforming? We audit it for free. We evaluate model accuracy, data quality, pipeline efficiency, bias risks, and infrastructure costs across your entire ML stack.
You get a detailed report with every issue listed and actionable fixes prioritized by impact — so you know exactly what to improve for better predictions, faster inference, and lower costs.
Client Reviews
What our clients say about working with us.
[INNERLUXES] always finds time to look into new things for us and have demonstrated a real willingness to react quickly to change.
INNERLUXES work on the app has resulted in increased efficiency in both communication and record keeping for Eurostar. Eurostar appreciates INNERLUXES project management, flexibility, and responsiveness.
Eurostar
London, United Kingdom
INNERLUXES communication is very efficient and clear.
INNERLUXES work has streamlined internal processes, resulting in faster workflows, fewer bugs, and expenses reduction. They are outstanding at project management — they are collaborative, communicative, and proactive.
Archrival
Lincoln, Washington, USA
Everything was handled professionally.
Thanks to INNERLUXES skilled developers, the client was able to complete and deliver a well-designed solution on time. The team easily adapted to the in-house team’s work style, allowing for a seamless collaboration.
EHOLD Group
Dubai, United Arab Emirates
They’re solid and deliver on their promises.
The number of power users, a KPI, increased by 15% during INNERLUXES work. Families who use the app have liked their changes. INNERLUXES team succeeds in their tasks because of their structured, communicative, and well-rounded team.
GeoZilla Family Locator
Palo Alto, California, USA
They deliver very high-quality results.
While the platform is still being tested, the results thus far have met the expectations of the internal team. INNERLUXES is committed to producing quality results, going above and beyond to ensure the customer receives a high level of support.
Deltager
Oslo, Norway
They are a professional, established company with an enterprise background and a core development team.
The MVP has garnered praise from stakeholders for its functionality and look and feel. INNERLUXES provides top-notch resources that produce high-quality development and design work.
Investment Evolution
New York City, New York, USA
They managed their team well and made sure we understood what was being worked on.
Although not a local Swedish company, INNERLUXES built a great product and accommodated to project requirements. They took a sincere interest in the product and its purpose.
Euro Accident
Stockholm, Sweden
The efficiency was their greatest strength that we leveraged for this project.
Valuing efficiency over quality, the client appreciated INNERLUXES quick deliverables and affordable rates. Some artwork was standout quality while other pieces needed revision to meet expectations.
Small Giant Games
Helsinki, Finland
They understood the requirements of the task quickly...
INNERLUXES is complimented for bringing their development insight to the table, understanding the requirements quickly, and delivering an app on time/budget with a design that has satisfied all stakeholders.
SE Ranking
Palo Alto, California, USA
I’m really happy with them, and I’m ready to do more work with INNERLUXES.
INNERLUXES workflow, communication, and time management were highlights of the project. Communication was a key to success because the client is located in Latin America and the delivery team in Eastern Europe.
Ztadium Studios
Santo Domingo, Dominican Republic
They were great at making sure that issues were followed up on; nothing fell through the cracks...
The app delivered has received only positive feedback from users, this client found INNERLUXES extremely responsive throughout their project.
Consero Group
Bethesda, Maryland, USA
INNERLUXES has a robust team, providing experts in every field we required.
INNERLUXES project management, ability to act on feedback, and provide experts to address concerns, are all highlights of this client’s partnership.
Woodside Hotels
San Francisco, California, USA
INNERLUXES attention to detail has been great. Our project coordinator, in particular, has been fabulous.
The app has successfully launched, the client’s investors are satisfied and are onboard with mapping several future versions to better address the marketplace.
Liquid Studios
Atlanta, Georgia, USA
Our clients and projects
Software solutions for monitoring Oil & Gas company
Our Front-End engineers work as part of the team of a US company — the leader in Digital Oilfield Solutions. The task was to create an upgraded version of a web-based solution that optimizes oil and gas equipment and answers critical questions about its condition and performance.
VIEW CASE STUDY ❯❯❯
“The quality of the work and engagement has been so good. They go beyond simply executing a task, story or test and are genuinely interested in understanding what the end user wants/needs.”
Media content management platform
ANC is a New York-based company that builds unforgettable digital experiences for brand marketing. Through immersive design and multimedia services, they transform commercial spaces — stadiums, entertainment venues, transit hubs, and trade centers.
VIEW CASE STUDY ❯❯❯
“They work to help develop our company instead of only being a third-party service provider. As a result, they’ve become a part of our company, which is very cool.”
ML-powered laboratory diagnostics software
Selux Diagnostics is a US biotech company transforming infectious disease diagnostics with rapid antibiotic susceptibility testing to combat antimicrobial resistance and enable personalized therapies.
VIEW CASE STUDY ❯❯❯
“INNERLUXES resources are embedded in our team and serve as an extension to our workforce. And during the inevitable crunch periods INNERLUXES was able to rapidly increase our access to a skilled resource pool.”
AI-powered automation platform
Our client provides an AI-based collaborative platform that helps SRE teams respond to production incidents using a breakthrough approach. With this product, they can adopt SRE methodologies and reduce toil while getting a unified view of incidents.
VIEW CASE STUDY ❯❯❯
“The reliability and quality of the work done by the team are impressive.”
Frequently Asked Questions
Got questions about building AI-powered applications? Here are the answers to everything clients ask us most.
How long does it take to build an AI application?
It depends on complexity and data readiness. A focused AI feature like a recommendation engine or chatbot can be ready in 6–10 weeks. More complex systems with custom ML models, data pipelines, and integrations typically take 3–6 months. We will give you an honest timeline after reviewing your data and requirements — no guessing games.
Do we need a lot of data to build an AI app?
Not always. The amount of data depends on the AI approach. For custom ML models, you typically need thousands of labeled examples. But for LLM-based applications using GPT, Claude, or similar models, you can start with minimal data using techniques like few-shot learning, RAG (Retrieval-Augmented Generation), and fine-tuning. We will assess what approach fits your data during our discovery phase.
What tech stack do you use for AI development?
We pick the best tools for your AI problem. Typically: Python with PyTorch or TensorFlow for model training, Hugging Face and LangChain for NLP/LLM tasks, React or Next.js for frontend, Node.js or FastAPI for backend APIs, PostgreSQL with pgvector or Pinecone for vector search, and AWS/Azure/GCP for cloud infrastructure. We also use MLflow for experiment tracking and Docker/Kubernetes for deployment.
Can you integrate AI into our existing application?
Absolutely. We specialize in adding AI capabilities to existing products — whether it is a chatbot, smart search, recommendation engine, document processing, or predictive analytics. We build AI as modular services with clean APIs, so they plug into your existing architecture without disrupting what already works.
How do you handle AI model accuracy and bias?
We take model quality seriously. Every model goes through rigorous evaluation with precision, recall, F1 scores, and real-world testing. For bias, we audit training data for representation gaps, use fairness metrics, and implement guardrails to prevent harmful outputs. We provide full transparency on model limitations and set up continuous monitoring to catch drift early.
What happens after launch? Do you maintain the AI models?
Yes. AI models degrade over time as data patterns change — this is called model drift. We provide ongoing monitoring, retraining schedules, performance dashboards, and model updates to keep your AI accurate and reliable. Think of us as your extended AI engineering team — we are here for the long haul, not just the initial deployment.
Ready to Build
Your AI-Powered App?
Tell us what problem you want AI to solve. We will tell you exactly how we would build it — models, data strategy, tech stack, and timeline. No commitment, just a real conversation.
Let’s Build Your AI App