GIVE ROUTINE WORK TO MACHINES, NOT PEOPLE

We build custom AI agents that handle complex workflows – so you stop doing manually what a machine can do better.

4-6

Weeks from discovery to live MVP

4.9★

on Clutch

50+

AI Web3 products developed

4 roadblocks before your first AI agent

Why founders lose 3-6 months between ‘we need AI’ and actually building it.

You know AI can help. You don't know where to start.

Most founders understand the opportunity but get stuck at "what exactly do we build and how?"

No-code gets you 80% - the rest is where your business actually lives.

Zapier and Make are great — until your logic gets real. Custom conditions, complex integrations, actual data — that's where you need code, not drag-and-drop.

Hiring a full-time AI engineer isn't an option yet.

You're not at the stage where a USD 150K/year hire makes sense. But you need the output of one — right now, for a specific problem.

You've seen founders burn budget on AI that never shipped.

A demo is easy. A production product that works under real load, with real users, and doesn't break when you add a new integration — that's a different story.

Here's how we solve each one

We build custom AI systems that are production-ready and fully yours from day one.

We start where you're stuck

You don't need to know the architecture upfront. We map your workflow, identify where an agent creates the most leverage, and build exactly that.

Built around your workflow

Not a ChatGPT wrapper. Not a Zapier flow. A real agent with memory, logic, and the ability to act — built specifically for your workflow and deployed on your terms.

Production code where no-code breaks down

When your logic gets complex — conditional branching, external APIs, multi-step decisions — you need production code. We take over exactly where no-code breaks down.

AI agents that work as a system

Some problems need more than one agent. We design systems where agents work in sequence — one researches, one validates, one executes. Real automation, not a chatbot.

Schedule a meeting with our CTO

Stop guessing which workflows to automate. Skip the sales pitch and talk directly to our CTO about your technical architecture and integration bottlenecks.

AI products in action

Not demos. Not prototypes. Production systems handling hundreds of actions daily. See how we built them and what they automate.

DeFi project

AI-Powered DeFi Risk & Strategy Platform

AI platform that replaces manual DeFi monitoring with real-time risk detection, LP analytics, and yield scoring - deployed privately, no third-party APIs.

Learn project

Family Offices project

AI-Powered Advisory Platform

AI platform that helps wealthy families formalize governance, align priorities, and reduce conflict risk through automated multi-agent analysis.

Learn project

Don't take our word for it

We hired Cyber Bee for Oracle deployment, smart contracts, and security testing. Security and scalability tests passed cleanly, which in Web3 is not always the case. They delivered on time and the docs were solid, clear enough to hand off to anyone. Easy to work with.

Simon R

Founder, Legacy Apps

Honestly, I didn’t expect it to go this smoothly. We handed Cyber Bee one of our most complex projects – to build the infrastructure behind UCLA’s Digital Gateway. Smart contracts, authentication, OCR, AI automation – all at once. They handled it with world-class technical skills and didn’t miss a beat across 18 months. UCLA’s team was impressed. So were we.

Gavin Hall

CEO, Magnet Co

We work with a lot of Web3 dev teams at Solus, so we know the difference. Cyber Bee built a full DeFi platform for one of our clients – and actually understood the marketing goals behind it, not just the specs. After the IDO, 60% of tokens got staked and daily volume grew by 35%. That doesn’t happen when a team just writes code.

Rusya Safina

CMO, Solus Agency

Cyber Bee’s DevOps and React developers jumped into our project in days and hit every deadline. What surprised us most is how quickly they got up to speed. I didn’t have to explain twice.

Nikita Kompanets

CEO, Wise Vision Group Ltd

Who we build for

Teams that outgrew no-code, can’t afford to waste talent on manual work, and need straight answers without internal politics.

No-code hit its ceiling

Zapier and Make work until your logic gets real. When you need conditional branching, memory, multi-step reasoning, and real integrations - you need code, not drag-and-drop.

Repetitive work is killing your team's focus

Data processing, reporting, lead qualification, document handling - if it's repetitive and rule-based, an agent can own it. Your team shouldn't.

You need an unbiased perspective

AI doesn't have political capital in your company. It doesn't protect its own department. It analyses the inputs and gives you a structured answer - every time, without agenda.

Your internal AI experiment didn't make it to production

Most in-house AI experiments die in staging. Production-ready agents need architecture, orchestration, and engineering discipline - not just a good prompt.

Your data can't leave your infrastructure

Not every company can send data to OpenAI. We deploy local LLMs on your infrastructure - fintech, legal, family offices. No third-party touches your data.

You're moving fast and need a technical partner who keeps up

No onboarding marathons. No account managers in between. We ramp up in days and deliver weekly — because your runway doesn't wait.

Why not just use any AI platform or IBM?

We're not an AI platform.
We're your technical co-founders.

SaaS AI platforms

Cyber Bee development

Your data location

Their servers

✓ Your servers, always

Code ownership

None — you rent access

✓ 100% yours on day one

Customisation

Limited by platform ceiling

✓ Unlimited — it's your code

Pricing model

Monthly forever

✓ One-time build fee

Support after delivery

Ticket queue

✓ Direct line to the founders

Who you talk to

Account manager

✓ Founders, directly

No sales pitch. Just an honest technical conversation.

How we build your AI agent

From "I think we need an agent" to "it's handling 500 actions a day" in 6 weeks.

Discovery (Day 1–2)

We map your workflows and find where an agent creates the most leverage.

Architecture (Day 3–5)

We design the agent system before writing a single line of code.

Build (Week 2–4)

Weekly demos — you see progress, not just promises.

Deploy & Test (Week 5–6)

Production deployment with full QA and documentation.

Ongoing

We don't disappear. Support, iteration, and scale.

Transparent pricing

Fixed scope. Fixed price.
No mid-project surprises.

We agree on scope and price before we start. Most projects land in one of three tiers — we’ll tell you which after the discovery call.

Single agent

Agent MVP

From $12k

4–6 weeks · Fixed scope

Most common

Multi-Agent System

From $40k

8–12 weeks · Fixed scope

Enterprise

Private Cloud AI

Custom

Scoped after discovery

All prices are fixed before we start — no mid-project budget conversations, ever.

Not sure which tier fits? The discovery call will tell us both.

Frequently asked questions

How long does it take to build an AI product?

Simple AI agents — 4–6 weeks. Multi-agent systems — 8–12 weeks. We give a clear timeline after the first call.

How is this different from using no-code tools like Zapier or Make?

No-code tools are great for simple linear workflows. When your logic gets complex - conditional branching, external APIs, memory, orchestration — you need real code. That's what we build.

Do you work with non-technical founders?

Yes. You explain the problem in plain language. We handle the architecture and engineering.

Can you deploy on our own infrastructure?

Yes. We've built on private cloud with local LLMs for clients where data privacy is critical. No dependency on OpenAI or any third party.

What happens after launch?

We don't disappear. Every project includes a support period, and most clients continue with us for iteration and scale.