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From idea to a working AI application in 8-12 weeks

MVP in 8–12 weeks — working product
Agentic AI — built into the core
100% your code — zero vendor lock-in
We have built for:Hand2BandQMSSwaveSmartCodestStreamliner
PROBLEM

Why Do Most AI Projects Never Make It to Production?

Companies invest in PoC, but 85% of AI projects never reach production.

We build differently. Production architecture from day zero.

Idea
MVP
Iteration
Production

What We Build — and What Problems It Solves

Not a list of technologies — specific solutions to real problems

Intelligent web applications

Portals, self-service platforms, internal tools with AI.

Mobile applications with AI

iOS, Android, cross-platform with on-device AI and cloud AI.

SaaS platforms

Multi-tenant, billing, onboarding, API from MVP to scale.

Document processing systems

OCR, data extraction, classification, workflow.

AI chatbots and assistants

RAG, fine-tuning, integration with a knowledge base.

AI MVPs and prototypes

8-12 weeks from concept to a working product.

How We Build AI Applications

A transparent process from the first meeting to a working product

1
Discovery

We understand your business, define scope and ROI

1-2 weeks
2
UX & Design

Wireframes, prototypes, user testing

2-3 weeks
3
MVP build

Agile sprints, demo every 2 weeks

6-8 weeks
4
Testing & Deploy

QA, performance, deployment to your infrastructure

1-2 weeks
5
Support

Monitoring, maintenance, new features

Ongoing
AGENTIC AI

Every App We Build Has an Agentic Core

We build on Microsoft Agent Framework, MCP Protocol and Azure AI

More about the technology
Multi-agent

Specialised agents work together

Tool Use

Agents connect to API, databases and systems

Orchestration

Planning, execution, validation

RAG

Agents ground responses in your data

ENTERPRISE-GRADE

Security Is Not a Feature. It's Architecture.

Enterprise AI without governance is a ticking time bomb

Audit Trail — A log of every AI decision with context
Policy Engine — Your rules control the AI
Observability — OpenTelemetry, tracing, alerting
Explainability — The AI explains why it made a decision
Audit Trail

A log of every AI decision with context

Policy Engine

Your rules control the AI

Observability

OpenTelemetry, tracing, alerting

Explainability

The AI explains why it made a decision

Technology Stack

We choose technologies to fit the project, not the other way round

.NET 9
C#
ASP.NET Core
Python
React
Blazor
Next.js
Flutter
React Native
Azure OpenAI
Claude API
Microsoft Agent Framework
RAG
MCP Protocol
Azure
AWS
Docker
Kubernetes
PostgreSQL
Redis
Azure AI Search
CI/CD
GitHub Actions

Frequently Asked Questions

It depends on the scope. An AI-powered MVP starts from $80,000. A full SaaS product is $200k-$500k.

MVP: 8-12 weeks. Full product: 4-6 months.

Yes, and we recommend it. An MVP allows you to validate the idea with minimal risk.

You do. 100% of the code and IP belong to you. Zero vendor lock-in.

Microsoft Agent Framework, Azure OpenAI, Claude API, RAG, MCP Protocol.

Governance from day zero: audit trail, human-in-the-loop, EU AI Act compliance.

Monitoring, maintenance and product development. SLA, dedicated team.

Other services

Comprehensive AI support — from analysis to implementation and maintenance

AI applications

We build web applications, mobile apps, and AI-powered platforms — from MVP to scaling.

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Systems Modernisation

Is your system 10+ years old? We’ll add AI without breaking what already works.

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AI Decision Platforms

AI provides recommendations, you make the decisions. Scoring, predictions, dashboards — with explainability.

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Intelligent Process Automation

AI decides and acts. AI agents with governance and SLA for every decision.

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Proof of Concept

2 weeks, a clear plan and ROI. Even if the answer is 'do nothing'.

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AI Governance & Compliance

Monitoring, EU AI Act compliance and continuous optimisation of AI systems — governance from day one.

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Ready to accelerate your business?

Book a free consultation with our expert and find out in less than 30 minutes:

Book a free consultation
Which processes in your company are worth automating first
Which technologies and tools will work best in your industry
What savings and efficiency gains you can achieve — an initial ROI analysis
Answers to your technical and business questions — without the jargon
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