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.

Big idea? Let’s turn it into a real product.
Book A Demo

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.

Got a question? We’ve got answers
You discover the brutal truth… about building AI in 2025

"The hiring market is fucking retarded"

Real experts cost more than your entire round.

Ex-OpenAI engineers want $3M+ TC, ex-DeepMind researchers are ghosting, and you literally cannot afford expertise(?)

All credibility is manufactured now.

Cursor + Lovable + ChatGPT = instant AI portfolio, resume looks legit, but you KNOW never deployed anything to prod.

Interviews are cooked.

2/3rds are are on Cluely, rest have maxed out comp. programming but can't code linear reg. from scratch.

AI agencies are just dev shops with new branding.

Teams building WordPress sites last year now call themselves "AI Transformation Experts" charge $50K to integrate OpenAI APIs.

You hire wrong and by the time you realize your Sr AI engineer…”Soham” doesn't know the difference between fine-tuning & RAG, you've 2-3 months left.
Here's what nobody tells you…..."You don't need to hire anyone."

Embedded Expertise That Transfers Ownership.

Teams that come in, build your AI system, document every decision, train your engineers, then disappear.

No Equity Dilution

Keep full control of your company. We help you scale without giving away shares or sacrificing ownership.

No long-term contracts

Work with us only as long as you need. No lock-ins, no strings attached — just results when you need them.

No dependency

We build systems your team can run on their own. When we leave, you own the knowledge, tools, and process.

You get years of production AI expertise injected into your startup. Tomorrow. We've literally wrote a playbook.
You own everything when we're done.

The Process

Step 1Immediate Optimization

We review your architecture, identify optimizations & immediately start implementing them.  No lengthy discovery. chatgpt strategy decks. We've seen your architecture pattern 50 times before. Within 48 hours of engagement, we're pushing code.

Step 2Ship Weekly

Every week, you get deployable improvements. Faster inference. Lower costs. Better accuracy. Show your investors progress in real-time.

Step 3 Handoff

Everything we build comes with complete documentation, Loom walkthroughs to train your engineers on maintenance. You never need us again.

Need us for the next sprint? We do retainers too.

Don’t overthink it, let’s talk.

What We Do Best

Built for speed, scale, and real impact.

Strategic Content

Build Faster Together
Scale Without Stress
Support That Lasts

Strategic Content

Build Faster Together
Scale Without Stress
Support That Lasts

Strategic Content

Build Faster Together
Scale Without Stress
Support That Lasts

Strategic Content

Build Faster Together
Scale Without Stress
Support That Lasts

Strategic Content

Build Faster Together
Scale Without Stress
Support That Lasts

Strategic Content

→Build Faster Together
Scale Without Stress
Support That Lasts
Cool features are useless if no one ships them. Let’s fix that.

"Who The Fuck Is Ionio?"

Nobody. That's the point.

While you're paying $3M for ex-Google engineers who spend more time on Twitter than your codebase, we were in the GPT-3 beta building RAG before anyone called it that.

We've PRed into hugging face, published research nobody reads, and made YouTube tutorials with 47 views. We're small, unknown, and probably charging too little.

Stuck? Let’s figure it out together.

Case Studies

Our code is running in production at 40+ startups who had the same doubts you're having right now. Here's what they discovered

Featured Case Studies

Our code is running in production at 40+ startups who had the same doubts you're having right now. Here's what they discovered
  • From 12-Second Response Times to 800ms

    FlowAI (Series A, $8M raised)

    3 weeks

    Problem

    RAG chatbot taking 8-12 seconds per response, Series A investors thinking product was broken during demos

    What We Built

    Model optimization + intelligent caching + inference pipeline redesign

    Result

    800ms average response time, closed $8M Series A
  • Zero to Production AI in 8 Weeks" <Standard Draft>

    HealthStream (Pre-Series A, $2M raised)

    8 weeks

    Problem

    No AI capability, needed medical AI assistant for Series A demo in 10 weeks

    What We Built

    Complete medical RAG system + voice interface + HIPAA compliance + monitoring

    Result

    Successful Series A demo, raised $15M led by Andreessen Horowitz
  • Cut AI Costs 85% Without Losing Quality

    RetailMind (Seed, $3.5M raised)

    4 weeks

    Problem

    Burning $47K/month on GPT-4 calls for product recommendations, 5 months runway remaining

    What We Built

    Hybrid model strategy + local deployment + prompt optimization framework

    Result

    $7K/month AI costs, maintained 94% recommendation accuracy, 24 months runway gained
  • Rebuilt AI System That Actually Scales

    DataCorp (Series A, $6M raised)

    5 weeks

    Problem

    CTO built prototype with 47 different API calls, crashing at 50+ concurrent users

    What We Built

    Streamlined architecture + proper async handling + load testing + monitoring

    Result

    Handles 1000+ concurrent users, 99.9% uptime since launch
  • From 60% Accuracy to 96%: Enterprise Deal Saved

    LegalTech Solutions (Series A, $12M raised)

    6 weeks

    Problem

    Contract analysis AI hallucinating, lost $2M enterprise deal, 3 more at risk

    What We Built

    Advanced RAG optimization + evaluation framework + confidence scoring

    Result

    96% accuracy on legal document analysis, won back enterprise client + 2 additional deals
  • SOC2 + Enterprise AI in 6 Weeks

    FinanceAI (Series A, $10M raised)

    6 weeks

    Problem

    JPMorgan ready to sign $500K contract, required SOC2 compliance for AI system

    What We Built

    SOC2-compliant AI infrastructure + audit logging + data governance + security protocols

    Result

    Passed enterprise security review, signed $500K contract, 3 more Fortune 500 prospects in pipeline
Real teams scaled smarter with us — your story could be next.

Video Testimonials

Hear it straight from the founders we’ve worked with.”
"Communication was transparent throughout the project, including pricing, process, and timeline."
Jake Valentine - Founder & Growth Consultant
They said “best decision we made.” Your turn?

More Case Studies

How we turned strategy into impact.

"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.

"Designed, Architected, Built Legal AI Platform & Proprietary Templating Engine First Of It’s Kind"

Designed and built Standard Draft, an AI-powered legal platform that revolutionizes contract creation, negotiation, and signing—reducing contract processing time from 31 days to hours while cutting costs significantly—featuring custom-built templating engines, LLM-powered drafting, and counterparty negotiation tools in a SOC2/GDPR-compliant environment. React.js, Express.js, LLMs, Embedding, RAG, AWS, Docker. mid-2022 to early 2024. Client, solo-bootstrapped non-tech founder. Founder got hired Head of Legal by Hebbia 🦄 post build. lol

"Designed & Developed Cutting-Edge Voice AI Systems for Customer Engagement and Onboarding"

Ideated, designed & built a comprehensive Voice AI experience — an assistant for a SaaS email marketing platform. Created immersive user experiences with custom animations, sound effects and voice interactions that personalize responses based on user data. Built this BEFORE OpenAI Real-Time Voice Streaming & without using BlandAI or VAPI. Custom-Voice-to-Voice Implementation, NodeJS Express, Browser TTS, ElevanLabs, OpenAI 4o.

“Scaled Ecom Product Management Platform from 0 ⇒ ~2-5million products/day” — Ecom PIM SaaS - Pumice

Built and scaled a high-performance ecommerce product categorization platform from zero to processing 2-5 million products daily. MVP in ~6 weeks, implementing custom AI models ( LLMs), image similarity detection, and predictive heatmaps within a comprehensive architecture. 2022-24. Client, solo-bootstrapped founder. Reached multi-six fig ARR. ReactJS, Python, OpenAI APIs, custom-LLMs, AWS, Docker, CLIP, Celery, RabbitMQ, AWS

“Designed, Built & Deployed One of the World’s First AI Content Generation, Repurposement & Publishing SaaS” — WordOut

Designed and developed WordOut, a pioneering AI platform for social media content creation that automatically converted documents, videos, and audio into optimized posts—built in 2022 before ChatGPT APIs were even available. Delivered MVP in 6 weeks, achieving 20x efficiency gains and saving clients $7-15K monthly in content production costs. Late 2022-23. Client, solo-bootstrapped non-tech founder. Thousands of signups. React, NodeJS Express, Docker, AWS, Bull.JS, RabbitMQ, OpenAI APIs, OpenAI Whisper

"Architected & Deployed AI-Powered Retail Chatbot for Legacy Platform Serving Millions of Daily Users"

Led development of a retail shopping assistant that seamlessly integrated with a 9-year-old legacy codebase spanning 35+ microservices and 150+ API routes to deliver personalized product recommendations based on user queries and geolocation. Engineered for 2M daily active users while navigating rapid AI model evolution from Mistral to Llama, with all systems self-hosted to meet stringent compliance requirements (SOC2, GDPR). Jan-Oct 2024. Mistral, Llama, Flutter, Microservices, Azure, NodeJS Express, vLLM

"Built an AI-Powered SDR Agent that Automates Cold Email Responses 24/7, Saving 20+ Hours Weekly at 1/20th the Cost" — Email Response Automation

Designed and implemented an AI Sales Development Representative agent that monitors inboxes 24/7, automatically researches prospects, and generates personalized human-like responses to cold email replies. Recovered thousands in potential lost revenue by ensuring no lead goes unanswered, while operating at less than $50/month—20x cheaper than human alternatives. Smartlead API, Langchain, Apollo API, AWS Lambda, Zapier, RelevanceAI, BERT Classifier, Python.

"Built Sophisticated Coupon Scrapping Infrastructure to Rival Honey in Just 6-8 Weeks — +500k pages, +150k coupons"

Designed and implemented an enterprise-grade coupon aggregation platform that scraped 15 different websites including major players like Groupon, Coupons.com, etc. Engineered sophisticated anti-detection systems that successfully harvested half a million web pages and extracted 150,000 valid coupons. Completed the scrapping in just 6-8 weeks. Python, BeautifulSoup, Selenium, Puppeteer, Node.js, Express, React, Postgres, Proxy Management (Smartproxy/Bright Data)

"Architected & Deployed AI-Powered Retail Chatbot for Legacy Platform Serving Millions of Daily Users"

Led development of a retail shopping assistant that seamlessly integrated with a 9-year-old legacy codebase spanning 35+ microservices and 150+ API routes to deliver personalized product recommendations based on user queries and geolocation. Engineered for 2M daily active users while navigating rapid AI model evolution from Mistral to Llama, with all systems self-hosted to meet stringent compliance requirements (SOC2, GDPR). Jan-Oct 2024. Mistral, Llama, Flutter, Microservices, Azure, NodeJS Express, vLLM

"Served as Sole Technical Partner, Built AI Avatar Platform for HCP Engagement for Big Pharma” —Multi-6-Fig SaaS Contracts & 7-Fig Valuation Growth.

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 X000+ 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

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

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.

"Developed & Scaled High-Margin Dropshipping Product Database Platform"+X0k/mon made +$XM  in ~12months, 7fig E.V.

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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Frequently Asked Questions

Everything you need to know about the product and billing.
What is Ionio.io and what services do you provide?

Ionio.io is a [describe in one line — e.g., AI-driven business solutions / digital transformation partner / productized service company]. We help businesses streamline operations, reduce costs, and scale efficiently with tailored technology and strategy.

How does Ionio.io help businesses compared to traditional solutions?

During the initial consultation, we will discuss your business goals and objectives, target audience, and current marketing efforts. This will allow us to understand your needs and tailor our services to best fit your requirements.

Who are the typical clients Ionio.io works with?

We work with startups, SMEs, and enterprises across industries like [finance, SaaS, healthcare, retail, etc. — update based on your niche].

What industries can benefit most from Ionio.io’s services?

Our solutions are designed to be industry-agnostic. Whether you’re in tech, e-commerce, or professional services, we can customize our offering to your unique workflows and goals.

What makes Ionio.io different from competitors?

We focus on no equity dilution, no long-term lock-ins, and no dependencies — giving you full control while delivering measurable results faster than traditional firms.

Do I need technical expertise to use Ionio.io’s platform/services?

Not at all. Our services are designed to be user-friendly and fully supported by our team. You focus on your business, and we handle the complexity behind the scenes.