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Clutch, 2024
Bridge the gap between "Vibe Coding" and Enterprise Reality.
Your Bolt.new or Lovable prototype already works. It just wasn't built to survive real users.
You get robust, scalable, secure production software from a team that takes the raw output of agentic coding environments and hardens it for the real world.
Building a proof-of-concept with Claude Code or Gemini Pro has never been faster. But moving from a validated demo to a production-scale application requires more than just smart prompting.
If you are struggling with unpredictablelatency, token cost spikes, or security vulnerabilities in your AI-generated code, you’ve hit the performance ceiling. We provide the engineering discipline to move your Lovable export or Bolt scaffolding into a fully governed production environment.
You're not buying "an app". You're buying an agentic system, built by people working in the same ecosystem you prototype in.
Your high-fidelity prototype gets "Second-Act Engineering": full-stack scaffolding optimised, GitHub integration cleaned up, so the codebase is still maintainable a year from now.
Your custom agents run on Base44 mandatory workflows and Agent Skills with explicit method mapping. That's what prevents the hallucinations that plague raw LLM implementations.
Whether you're leaning on Claude Code's autonomous implementation or Gemini's massive context windows for research, you get defined verification criteria and CLAUDE.md protocols that keep code quality honest.
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LLMOps and Infrastructure
You get a living technology backbone instead of a simple wrapper. That means LLM CI/CD, versioned deployments, and MCP (Model Context Protocol) support to connect your AI with your internal data securely.
Performance and Cost Optimisation
Semantic caching and model routing balance Gemini Flash for speed against Claude 3.7 Opus for reasoning. Your token burn drops, and the RAG performance gap closes.
Zero-Trust AI Security
Every line of code, human or agent-generated, goes through rigorous security scanning. Guardrails protect sensitive data, and your product meets SOC2 and GDPR standards.
We apply our battle-tested development lifecycle to the world of Generative AI, ensuring that your agentic workflows are as reliable as they are innovative.
Before anyone writes a line of production code, the intelligence gets mapped. Your existing Gemini or Claude prompts and your Bolt.new scaffolding get audited, so the foundation is rock-solid before you build on it.
What you walk away with:
AI Business Case: your ROI, token budget and accuracy KPIs, defined.
Prompt and Agent Backlog: the core "skills" your AI needs to master.
Agentic User Flows: the decision trees and fallback loops behind every AI interaction.
Knowledge Base Sitemap: your data, structured for a RAG (Retrieval-Augmented Generation) pipeline.
High-level AI Architecture: the model mix, chosen deliberately (Gemini 1.5 Pro for research, Flash for speed).
Vector Data Model: how your proprietary data gets indexed and retrieved.
This is the bridge. Your Lovable export or prototype moves into a professional engineering environment.
Interaction Style Guide: your "System Prompt" and brand tone of voice, written down.
LLMOps and CI/CD Workflow: automated testing for prompts and for agent-generated code.
Feature 0 (The Core Agent): your first functional end-to-end "Agentic Skill", deployed.
Sprint 1 Agentic GUI: a UI designed for streaming responses and user feedback loops.
High-velocity development, using Claude Code and Base44 to build out the rest of your backlog fast.
Sprint Backlog: new agent capabilities and data integrations, prioritised.
Next Sprint GUI: multimodal interfaces iterated (voice, vision and chat).
Sprint Execution: Base44 mandatory workflows deployed, so your AI follows strict business logic.
Nobody just "goes live" here. You "go guarded". The transition from prototype to a real-world environment gets monitored.
Go-live Support and Hallucination Monitoring: real-time tracking of AI accuracy and latency.
Performance Retrospective: token usage, cost-per-user and model effectiveness, analysed for your next phase of growth.
The result: your prototype stops being a "black box" experiment. It becomes a governed, SOC2-compliant, cost-optimised product, ready for the enterprise.
top software developers london
Clutch, 2024
global excellence awards
Acquisition Int., 2022
Top EUROPE’S FASTEST GROWING COMPANIES
Financial Times, 2024
Best workplaces Europe
Great Places To Work, 2022
TOP 1000 companies
Clutch, 2025
Bridging borders, serving clients in over 80 countries worldwide.
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With a recommendation rate of 99%, Imaginary Cloud has over 100 passionate, EU-based professionals who seamlessly align your business goals with cutting-edge digital technologies, driving a journey of digital transformation, acceleration and productisation.
Renowned for our expertise in processes that ensure top-notch quality delivery, our dedicated team of web developers, designers, project managers, and data scientists possesses the technical knowledge, creativity, and vision required to craft exquisite, intelligent web and app software products.
FRONTEND AND BACKEND DEVELOPERS
React, Flask, Django, Node, Ruby on Rails: you draw from web developers with the technical expertise to build complex web-based applications.
Designers
Award-winning designers work side by side with developers to create superior UX/UI experiences for your web development project, using leading tools such as Webflow.
Project Managers
Drawing on experience in industries galore, our Project Managers define the requirements and outline the scope of a future web app. After that, they provide a high-level project plan, give rough time estimates, and compile a team for implementation.
Data Scientists
Following a technology-agnostic, scrum-based process, our data scientists design Artificial Intelligence systems through incremental development. The aim: automate your business, help you make better decisions, forecast patterns and trends, and build competitive advantage.
figma
photoshop
illustrator
indesign
react native
flutter
react
angular
vue
webflow
aws
azure
gcp
node.js
python
rails
django
.net
java
pytorch
cml
dvc
mlflow
amazon
sagemaker
vertex.ai
azure ai
Browse the Frequently Asked Questions and get your answers. Or better yet – get in touch with our team and let’s talk!
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Still have questions?
Our team of business developers and project managers can help you to clarify any questions you have related. Feel free to chat with us anytime.
