From idea to prototype or MVP

Join our customers

What happens when you work with us?

Bring your idea to the table

1–2 Days

Bring your concept: napkin sketch or dev brief
We identify what can be built, how fast, and with which stack
Prioritise what matters: investor wow, internal use, or both

We don’t just listen — we shape ideas into something real.

Get your prototype in weeks

7–21 Days

Senior developers vibe-code your AI-native MVP
Just enough no-code or automation — the rest is solid engineering
Looks good, works fast, and proves your point

Delivered in weeks, built to last — not just demo fodder.

Launch, learn, and scale

1–2 Weeks Post‒Prototype

Deploy it inside your org or share with investors
We support, coach, and document — no knowledge gatekeeping
Iterate or scale into full product development

It's not just your app — it's your AI capability, levelled up.

Hear it from the results

Our AI succes stories

From concept to CX agent in just 8 weeks

Developed a fully working AI prototype in under two months
Combined custom LLM training with secure data integration and fast UI build
Delivered a functional self‒service AI product that’s now adding real value to consulting workflows

Visit Mocxy.ai »

Human-like AI voicebot built with LLMs, STT, and TTS tech, seamlessly handling customer conversations across channels with speed, clarity, and smart automation.

This memoir writing AI solution handles long context and self-checking with precision.

A prompt library with a browser extension that turns any website into an AI workspace: run and share prompts instantly across all major AI models.

Context-aware, multi-thread memory chatbot built on our AI-ready foundation in 2 weeks.

All references »

Built fast. Built right. Unlike most

How LogiNet stacks up when speed, quality, and real AI expertise actually matter

Success factors

Prototype delivery timeframe:

AI‒native architecture support:

Codebase integrity & maintainability:

PoC‒to‒MVP investor readiness:

Internal team knowledge transfer:

Cost estimation accuracy:

Ramp‒up & kickoff speed:

Stack flexibility & tech agnosticism:

Toolchain proficiency (LLMs, CV, RAG):

Prompt engineering competence:

Production‒readiness of code:

LogiNet

• 2–4 weeks. Proven delivery pace with multiple clients

• AI first approach designed for operational fit

• Clean, production‒grade code from day one

• Built to pitch and built to run — ready for both

• We coach your team and document everything

• Tight, transparent estimates with phase visibility

• Kickoff in 48–72 hours with pre‒scoped options

• We adapt to your needs, no forced stack choices

• Hands‒on with real AI tools, custom model workflows

• Core skill: woven into architecture from day 1

• Production‒grade code, ready to scale or hand over

Typical AI dev firm

• 1–3 months, with ramp-up and alignment issues

• Often a buzzword, not baked into architecture

• Often prototype-grade, hard to scale

• Visually compelling but often not functional

• Minimal handover, limited documentation

• Variable scope, scope creep common

• Discovery-heavy onboarding cycles

• Tied to in-house frameworks or preferred vendors

• Usually wrapper-level experience

• Added late, often as an afterthought

• Risk of throwaway code after PoC

AI-native delivery, real code, investor-ready. In weeks

At LogiNet, we help innovation teams and startups build AI-powered prototypes that don’t just demo well — they actually work. Our black belt developers blend real coding with smart AI tools, delivering in-house or investment-ready applications in as little as two weeks.

Whether you need a chatbot with memory, a custom LLM wrapper, or a self-hosted AI agent, we don’t overpromise — we build fast and teach your team how to move forward confidently.

You bring the idea. We’ll bring the working software.

Access to a pool of IT & AI experts

Get direct support from our professionals whenever you need extra hands.

Multilingual expertise with fluent English

We speak fluent English & work seamlessly across cultures, making collaboration smooth.

Proven success in remote delivery

We’ve delivered complex AI projects remotely—seamlessly, across teams and time zones.

No more abandoned AI projects

We stay post-launch, keeping your AI projects supported, and continuously improving.

Faster time-to-value

Accelerated delivery means business impact sooner, less waiting, more doing.

AI that won’t drain budgets

Designed for cost-efficiency and scalability, avoiding rising maintenance costs.

AI that works, not just excites

Outcome-focused AI that reduces manual work and boosts efficiency.

Trackable, tangible ROI

Every AI initiative is tied to measurable KPIs, so you can prove its real business value.

Access to a pool of IT & AI experts

Get direct support from our professionals whenever you need extra hands.

Multilingual expertise with fluent English

We speak fluent English & work seamlessly across cultures, making collaboration smooth.

Proven success in remote delivery

We’ve delivered complex AI projects remotely—seamlessly, across teams and time zones.

No more abandoned AI projects

We stay post-launch, keeping your AI projects supported, and continuously improving.

Faster time-to-value

Accelerated delivery means business impact sooner, less waiting, more doing.

AI that won’t drain budgets

Designed for cost-efficiency and scalability, avoiding rising maintenance costs.

AI that works, not just excites

Outcome-focused AI that reduces manual work and boosts efficiency.

Trackable, tangible ROI

Every AI initiative is tied to measurable KPIs, so you can prove its real business value.

Tools and technologies that power your AI success

Commercial LLMs

ChatGPT 3.5-4, Google Gemini, Anthropic Claude

Open source LLMs

LLama, Mistral, Mixtral, Huggingface models

Text to speech

ElevenLabs, Microsoft Azure TTS, Google Cloud TTS

Speech to text

Whisper, AssamblyAI

Computer vision

ChatGPT Vision, Azure Vision Studio, Google Vertex, AWS Computer Vision

Image generation

Dall-E, Midjourney, Stable Diffusion

Tools for custom workflows & models

TensorFlow, Pytorch, ONNX, Keras, CUDA, JAX

Done exploring? Let’s start building

You don’t need a vendor — you need a build partner.

If you’re done with slide decks, sandbox demos, or slow sprints, let’s get real. Our senior team will help you scope your AI solution and start building in days — not quarters.

Got questions? We get it

Here’s what most teams ask before they start — and how we handle it

Cost & budgeting

How much is this going to cost us, really?

Can you work within our pre-investment budget?

Will we end up with throwaway code?

What if our budget changes mid-way?

Tech stack & integration

Do we have to use your tech stack?

Can you integrate with our legacy systems?

What if we don’t have clean data yet?

Do you host the solution?

Speed & delivery

Can you really deliver in 2–4 weeks?

Is there a minimum scope?

What’s the ramp-up time?

What if we’re not happy with the result?

Team Enablement & Handover

Will your team stay involved after launch?

Can you train our devs or product owners?

Will we be able to scale this without you?

What if we need to switch to another partner later?

Fresh thinking from LogiNet

Everything we wish more businesses knew about AI

From pilot to pay‒off: turning AI experiments into real ROI (2025 edition)

What’s inside the video?

Why chasing an “AI strategy” is a distraction, focus on profit leaks first.
Where to start: back-office workflows vs. client-facing experience.
Concrete ROI wins in support and sales (transferable to legal ops).
The truth behind the hype: 80 % of great AI is disciplined software engineering.
Live demo: a self-hosted voice agent resolving real customer calls, no SaaS lock-in, full control.

Watch & get inspired: ➡️

video podcast