Real Projects.
Real Results.

See how we've helped companies build faster, spend less, and ship products that scale.

FinTech

SaaS Platform Built in 6 Weeks

FinTech Startup

The Challenge

A FinTech startup needed a full-featured invoicing and payment tracking platform to launch before their funding deadline. Traditional agencies quoted 5-6 months and $250K+. They had 6 weeks and a fraction of that budget.

Our Solution

We deployed a team of AI-augmented engineers who built the complete platform using Next.js, Node.js, and PostgreSQL. AI accelerated everything from code generation to testing. We shipped a production-ready SaaS with Stripe integration, multi-tenant architecture, real-time dashboards, and automated invoicing in exactly 6 weeks.

Technology Used

Next.jsNode.jsPostgreSQLStripeAWSTailwind CSS

“DeClouderAI built our entire platform in 6 weeks. A traditional agency quoted us 6 months. The quality exceeded our expectations and helped us close our seed round.”

James K.
CTO, FinTech Startup

Results

6 weeks
Idea to launch
70%
Cost savings vs. traditional
$1.2M
Seed round secured post-launch
2,000+
Users in first 3 months
E-commerce

AI Agent Handling 80% of Support

E-commerce Brand

The Challenge

A fast-growing e-commerce company with 50K+ monthly customers was drowning in support tickets. Their 8-person support team couldn't keep up, response times hit 24+ hours, and customer satisfaction was dropping fast.

Our Solution

We built a custom AI support agent using Claude with RAG (Retrieval Augmented Generation) trained on their entire knowledge base, product catalog, and order system. The agent handles order status, returns, product questions, and troubleshooting. Complex issues are seamlessly escalated to human agents with full context.

Technology Used

Claude AIRAG / PineconeNext.jsNode.jsZendesk APIShopify API

“Our AI agent handles 80% of customer inquiries now. Support costs dropped dramatically and customer satisfaction actually went up. It's like having a 24/7 support team that never sleeps.”

Rachel T.
Head of Operations, E-commerce Brand

Results

80%
Tickets resolved by AI
< 30s
Average response time
$180K
Annual support cost savings
94%
Customer satisfaction score
Healthcare

Legacy System to Modern Stack in 3 Weeks

Healthcare SaaS

The Challenge

A healthcare analytics company was running critical data pipelines on a 10-year-old PHP monolith. The system crashed weekly, couldn't handle growing data volumes, and made it impossible to add new features. Their internal team estimated 3 months for a migration.

Our Solution

We rebuilt the entire data pipeline using Python and modern ETL tools, migrated the API layer to Node.js with proper type safety, and set up a new PostgreSQL database with automated backups and monitoring. AI tools helped us rapidly understand the legacy codebase and generate migration scripts.

Technology Used

PythonNode.jsPostgreSQLDockerAWSTerraform

“We needed a complex data pipeline migration done fast. DeClouderAI delivered in 3 weeks what our team estimated would take 3 months. Zero data loss, zero downtime.”

David M.
VP of Engineering, Healthcare SaaS

Results

3 weeks
Full migration completed
99.9%
Uptime (from 94%)
15x
Faster data processing
$0
Data loss during migration

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