“Stop Choosing Between $3M ex-Google Engineers V/s Offshore “Indian” Agencies”

We build your AI system, document everything, train your team, then disappear. External expertise with internal ownership in 2-4 weeks.
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You Raised 2…3..5…maybe $7M to Build AI. Now What?

Your boys are congratulating you. TechCrunch just covered your round. IG egirls in your DMs.
You've got 18-24 months to prove this works. The clock started ticking the moment that wire hit your account.

Month 1-2: "Hiring the team, building the roadmap, everything on track." - investor updates
• Month 3-4: You realize your technical co-founder is brilliant, but AI at scale is different than AI prototypes. Things are slow.
Month 5-6: Your investors start asking about the AI roadmap. Your competitors just shipped their beta.

The pressure is real. Every week you don’t ship, a new cinematic launch video goes viral on twitter. Your VC forwarding it to you on Dms. Time’s running out.

You discover the brutal truth… about building AI in 2025

“The hiring market is fucking retarded”

"Served as Sole Technical Partner, Built AI Avatar Platform for HCP Engagement for Big Pharma” —

Designed and builtD an innovative AI-powered platform enabling healthcare professionals to interact with pharmaceutical information through a voice-activated avatar interface. Led successful deployment for world’s largest pharma companies, onboarding <redacted>000+ doctors. Our solution helped clients secure multi-six-figure enterprise contracts and transform from an agency to a SaaS company with multi-seven-figure valuation, completely bootstrapped. 1.5 Years Development, 2023-2025

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CASE STUDY
"Developed & Scaled High-Margin Dropshipping Product Database Platform"

Designed and built a comprehensive catalog platform that enables dropshippers to source vetted products with complete visibility of listing costs, retail prices, and shipping details. Delivered the entire platform in just 6-8 weeks and launched to an existing warm audience as a gold offer. Within 4 months, the platform was generating mid-5 figures monthly, quickly scaling to $XX,000 monthly revenue with a remarkable 95% profit margin. The platform has processed over $X.5M in revenue over two years while requiring zero technical support or dedicated teams, creating a fully automated revenue stream on top of an existing funnel.

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CASE STUDY
"Launched High-Performance YouTube Automation SaaS Generating $X0K Monthly Within Weeks"

Engineered a comprehensive YouTube content automation platform enabling creators to research, script, optimize, and audit YouTube channels—delivering a feature-rich SaaS solution that attracted 620+ paying customers and generated $30,000 monthly revenue within two weeks of launch. Developed for a prominent "make money online" influencer, leveraging an existing warm audience and profitable funnel. Development timeline: Late 2023 to Mid-2024.

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CASE STUDY
"Engineered World's First High-Ticket Supplier Database Platform in 6 Weeks, Achieving +$XX,000K Monthly Revenue Immediately" —

Designed, developed, and deployed SupplierHQ, the first-ever comprehensive database platform connecting ecommerce entrepreneurs with high-ticket suppliers. Delivered complete solution in just 6 weeks, handling everything from wireframing to architecture while collaborating with the client's CTO. Platform achieved $XX,000 monthly revenue in the first month = $X00,000 ARR, creating a 7-figure valuation asset in record time. Automated days of manual supplier research down to minutes, serving +X000 users.

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CASE STUDY
"Designed, Architected & Built a Voice AI Agent Platform Before Current Solutions & End-To-End Streaming APIs"

Built a AI Voice Agent platform (before it was cool) create intelligent voice agents capable of handling both inbound support and outbound calls with human-like conversation abilities. Developed from scratch in mid-2023, this solution features document-based AI training through RAG, scalable outbound calling capabilities, and a custom streaming framework with sub-2 second latency. Custom-LLMs, PineCone, Twilio, OpenAI Whisper, Elevenlabs, AWS, Docker, Express, ReactJS. Late-2023 to early-2024.

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CASE STUDY