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Our Recent Projects
We have delivered 200+ web platforms for startups and growing enterprises across many industries since 2019. These projects reflect the production web engineering foundation our team builds generative AI capabilities on top of for clients.
Slash Deals
Web Platform | AngularJS | GoLang | PostgreSQL
A daily deals portal connecting users across 103 cities through a high-traffic marketplace web application built to stay responsive even during sudden, large traffic spikes.
- Real-time deal discovery and listing management
- Scalable architecture engineered for traffic spikes
- Search and recommendation-ready data layer
- AngularJS single-page interface for fast deal browsing
Interstride
Web Platform | Ruby on Rails | MySQL
A career and job-search web platform matching international users with relevant opportunities and guidance, structured to grow with new features as the user base expands.
- Personalized job-matching workflows
- Content-rich resource and search modules
- Web application structured for ongoing feature growth
- Ruby on Rails backend with MySQL data store
Moovstore
Web Platform | PHP | Laravel | MySQL
A custom Laravel eCommerce platform for a Saudi Arabian multi-vendor marketplace, with personalized product recommendations, secure checkout, and payment integration that lifted conversion while scaling smoothly.
- Personalized product recommendations that raised conversion by 15%
- Secure checkout and payment integration
- Inventory and catalog management at scale
- Laravel storefront with MySQL-backed product catalog
Give Your Web Platform Generative AI Features Users Actually Want
Monocubed designs, builds, and integrates LLM-powered chatbots, search, and copilots into your existing platform, with a clear roadmap and measurable value from the first release.
Generative AI Consulting & Development Services We Offer
Monocubed delivers end-to-end generative AI consulting & development services packaged with full-stack web engineering. We pair you with a dedicated generative AI consultant from the first discovery call through to long-term support, so strategy and build stay with one team.
Generative AI Strategy and Discovery
Where should AI actually pay off first? We map your operations against real use cases, then hand you a prioritized roadmap with ROI projections and a scoped pilot. The plan reflects your data maturity, team capacity, and real budget, not a one-size-fits-all template.
LLM Selection and Integration
Model choice rarely comes down to one obvious winner. Our generative AI experts benchmark GPT, Claude, Llama, Mistral, and Gemini against your accuracy, latency, and cost needs, then wire the chosen LLM into your web stack with guardrails and fallbacks.
Custom Generative AI Development
Some clients need a complete generative AI product, not a widget bolted onto an existing product screen. We design and build the full web application with React.js, Next.js, Node.js, and Python, Django, drawing on our broader web app development services.
RAG Development for Web Platforms
Off-the-shelf models hallucinate; ours answer from your data. We build retrieval-augmented generation pipelines that index your support docs, wikis, product catalogs, and policies, then return the passage with a citation, inside your search bar, chat, or admin panel.
AI Agent and Copilot Development
Manual admin work draining your team? We build AI agents and copilots that carry multi-step workflows inside SaaS dashboards and customer portals. They read your data, call your APIs, and draft the documents your power users would assemble by hand.
Generative AI API Integration
Already running React, Node.js, Django, Laravel, or Rails? We wire GPT, Claude, and other generative AI APIs into that backend, building prompt orchestration, response streaming, cost controls, and fallbacks through our backend development services for production stability.
LLM Fine-Tuning and Prompt Engineering
When off-the-shelf prompts stall, fine-tuning earns its cost. We train open-source LLMs on your proprietary data and build prompt structures around your accuracy targets. Then we validate the domain-tuned model against production tasks before reaching your users.
Generative AI Chatbot Development
A chatbot is only as good as the systems behind it. We embed LLM-powered conversational interfaces in your web app, portal, or eCommerce site, grounded in your business data. Each connects to the CRM, ticketing, and order systems that resolve real customer requests.
Generative AI Governance and Compliance
We build the governance and security layer your AI features need to pass review. That covers how data is handled, who can access what, and a full audit trail, mapped to GDPR, HIPAA, and SOC 2, plus prompt injection defense for regulated clients.
Why Choose Monocubed as Your Generative AI Consulting Company
Monocubed is the generative AI consulting company that pairs web engineering experience with applied AI expertise. As an AI web solution development service provider, our generative AI experts ship real production AI features inside web applications, not isolated prototypes or whitepaper deliverables.
30-Min Free Consultation
Signs NDA for Complete Confidentiality
Dedicated Generative AI Consultants
100% Data Security
Constant Feedback Cycle
Regular Updates
Deep Generative AI Expertise
Quality Assurance
Up to 90 Days Maintenance Support
Go From Generative AI Idea To Working Prototype In Weeks
Bring us your idea, and our generative AI consultants return a validated use case, working prototype, and integration plan, drawing on 200+ delivered web projects.
Technology Stack We Use for AI Solutions Development
We select the technology stack for each AI project based on your business goals, web platform, and scaling needs. Our engineers build artificial intelligence development solutions across leading LLMs, ML frameworks, web technologies, and cloud platforms, so every AI feature ships on infrastructure built for production.
LLMs and Generative AI
ML Libraries
Frontend
Backend
Databases and Vector Stores
Cloud Platforms
DevOps and Containerization
API Technologies
Our Generative AI Consulting Process
We follow a structured six-step process refined across 200+ web projects. Our generative AI development services keep model work tied to a deployable web platform, so progress stays visible, and outcomes stay predictable from the first discovery call through long-term support.
Discovery and Use Case Assessment
We run stakeholder interviews, surface candidate use cases, evaluate data readiness, and score each option on impact and feasibility. You get a prioritized AI backlog, a recommended starting use case, and a clear definition of success before any code begins.
Architecture and Model Selection
Our generative AI experts benchmark LLMs, evaluate RAG patterns, run cost models, and validate compliance against your data. You get a recommendation, architecture diagram, cost projections, and delivery plan before development begins, with all assumptions documented.
Working Proof of Concept and Validation
Before a full build commits real budget, we ship a working proof of concept in just a few weeks. It runs against your real data and real users, measuring output quality, latency, and integration fit, so you can make a confident go or no-go decision, backed by real numbers.
Complete Development and Integration
We build the full web application, fine-tune or configure the chosen model, implement RAG where needed, and integrate your APIs and data stores. We run agile sprints with continuous integration and weekly demos, so you see steady, reviewable progress every sprint without surprises.
Testing, Security, and Quality Assurance
We test functionality, accuracy, latency, security, running prompt injection defense, output filtering, and audit logging. You get documented test results, resolved defects, and a complete platform validated against GDPR, HIPAA, or SOC 2 requirements before launch.
Deployment, Monitoring, and Support
We deploy to production, integrate with your existing systems, and run a zero-downtime release with monitoring already in place. You get a live web platform, model dashboards, retraining triggers, and complimentary maintenance for up to 90 days plus long-term support.
Is Your Web Platform Ready For Generative AI Production Workloads
Get a 30-minute readiness review with our generative AI experts and find out where LLMs, RAG, or AI agents will deliver the most measurable value.
Industries We Serve
Our generative AI consultants deploy AI features for clients across regulated, high-volume, and content-heavy sectors. Specific feature sets depend on your data, customer base, and platform. The patterns repeat: ground answers in trusted sources, automate repetitive work, and surface insights.
eCommerce and Retail
Retailers use generative AI for product description generation, recommendation engines, and conversational shopping assistants. The bigger win is usually catalog scale: a small merchandising team can describe and tag thousands of SKUs without the backlog that normally slows seasonal launches.
Finance and FinTech
In finance, the use cases are clear enough: document Q&A, fraud-detection copilots, regulatory assistants, and account summaries. The hard part is shipping them without weakening controls, so we build strict data handling, role-based access, and audit logging into every fintech build.
Healthcare
Healthcare workers’ lives depend on PHI handling. We build HIPAA-aware features into patient portals and clinical platforms, intake chatbots, prior-authorization assistants, and document summarization, where the goal is to cut the administrative load without loosening the controls that auditors and patients expect.
Education and eLearning
Education platforms lean on AI tutoring assistants, adaptive content, automated assessment feedback, and student-support chatbots. For most institutions, the draw is personalization at scale: one instructor can support far more learners, and admin staff stop fielding the same enrollment questions.
Real Estate
Brokerages and proptech firms apply generative AI to listing generation, virtual property assistants, lead qualification, and transaction document summaries. Listing copy is the obvious time saver, but the lead-qualification chatbots usually matter more, deciding who an agent calls back first.
Transportation and Logistics
Logistics platforms get conversational dispatch tools, predictive routing interfaces, shipment-tracking copilots, and automated documentation. The quiet benefit is exception handling: instead of a dispatcher catching a delayed load by chance, the system surfaces it early and lets customers self-serve status.
Manufacturing
Manufacturers sit on decades of technical documents, so most value here comes from retrieval. We build knowledge-base assistants and equipment-manual Q&A interfaces that let engineering and operations staff pull a torque spec or a procedure in seconds, not by hand.
Hospitality and Travel
Hospitality and travel platforms add AI concierge interfaces, booking assistants, itinerary generation, and multilingual support. Multilingual coverage often matters most: an online travel agency can answer a guest in their own language at 2 a.m. without a night shift everywhere.
SaaS and Tech Startups
SaaS teams want AI copilots, semantic search across user data, in-app assistants, and AI-driven onboarding. We help product teams ship these features on their current platform fast, without pausing the roadmap to hire and stand up a dedicated AI team.