Product Engineering | AI Integration | Scalable Architecture
Building scaling SaaS platforms, integrating AI/GPT-4, and providing technical expertise for technology companies and startups. From MVP to 1M users.
Our Expertise:
From pre-seed startups to Series C scale-ups
From technical debt to scaling infrastructure
The Problem:
MVP became production code. Database has no indexes (30-second queries). No automated tests (every deploy breaks something). Can't add features without breaking existing functionality.
Pain Points:
Our Solution:
Real Result: SaaS: Feature dev time 4 weeks → 1 week after refactoring
The Problem:
Application slows down under load. Database can't handle traffic spikes. Manual scaling is reactive (crashes happen first). Downtime costs revenue and customer trust.
Pain Points:
Our Solution:
Real Result: E-commerce: Handled 10x Black Friday traffic with zero downtime
The Problem:
Can't hire fast enough. Senior engineers cost $150K-$250K+ (can't afford full-time). Recruiting takes 3-6 months. Junior devs can't architect complex systems.
Pain Points:
Our Solution:
Real Result: Startup: Launched MVP in 12 weeks with senior team vs 6 months hiring
The Problem:
Competitors are adding AI features. No in-house ML expertise. ChatGPT API is not enough. Need production-ready AI systems that actually work.
Pain Points:
Our Solution:
Real Result: SaaS: AI recommendations increased engagement 45% in 3 months
Rapid MVP development to validate product-market fit (8-16 weeks)
Technology: React/Next.js, Node.js, PostgreSQL, AWS
Add AI capabilities to your existing product
Technology: OpenAI, custom ML models, vector databases
Ongoing feature development and product improvements
Scale your application for growth, improve performance
CI/CD, infrastructure as code, automated deployments
Expert technical advice on architecture, technology choices, team building
Client: Series A fintech startup
Results: Scaled from 1K to 50K users, Page load: 4s → 0.8s, 99.97% uptime
Client: Healthcare SaaS (Series B)
Results: 3 AI features in 4 months, 40% reduction in support tickets, $500K in new deals
Client: Pre-seed EdTech startup
Results: MVP in 9 weeks, Closed $500K angel round, Scaled to 2,000 users in 6 months
No junior devs. Average 8+ years experience. We've built 50+ SaaS products.
We challenge requirements, suggest improvements, think about UX and business goals.
Start in 2 weeks. We've done this 100+ times, so no learning curve.
We treat your product like our own. Proactive problem-solving, not just ticket-takers.
React, Next.js, Node.js, AWS, AI integration. We build with 2025 best practices.
Whether you need an MVP in 12 weeks, AI integration, or a dedicated development team, we're ready to help you scale.