AI Web Apps
Build a focused app for document analysis, job-specific feedback or an AI-assisted workflow, with clear limits and user review.
AI Innovation Lab · Apps · Automation
Turn documents into useful feedback, connect your business tools, and reduce repetitive work. ZaidanLab builds software around your business needs — from a focused AI pilot to applications and integrations with the systems you already use.
What ZaidanLab builds
Start with the task you need to improve. Use AI for interpretation and generation; use conventional software for reliable rules, integrations and transactions.
Build a focused app for document analysis, job-specific feedback or an AI-assisted workflow, with clear limits and user review.
Connect data feeds, reports and business tools. Automate repeatable steps and send exceptions to a person for review.
Native and cross-platform mobile apps with AI-powered features, recommendations and automation.
Scoped MVPs, internal tools and dashboards, with API integrations and AI features where they add value.
Integrating OpenAI, Claude and other AI models into the systems and workflows you already run.
Adobe Commerce and Magento integration, catalog and reliability work — the enterprise foundation behind the newer AI products.
Mobile and casual games built in Unity and C#, shipped and published on Google Play.
Google Ads management and local SEO for service businesses that need to be found.
Why ZaidanLab
We start with the business workflow, explore a focused solution and test it against clear acceptance criteria before expanding the build. AI is a tool, not the objective; reliable rules and human review matter too. About ZaidanLab →
Identify the users, repetitive steps and operational constraints. Agree on a measurable pilot goal before committing to a larger build.
Adobe Commerce, MuleSoft and SAP S/4HANA integration experience — the unglamorous work that decides whether a platform survives production.
Define the model's task, validate its output and provide a review step. Keep critical rules and transactions deterministic rather than delegating every decision to AI.
Separate prototype, production and ongoing support requirements. Define milestones, ownership and acceptance checks so the scope stays clear.
About ZaidanLab
ZaidanLab is a software company that explores, builds and validates AI applications, business integrations and workflow automation for startups and established businesses. We focus on a specific need: making information useful, connecting disconnected tools or reducing repetitive operational work.
Here, innovation means testing a useful workflow with a focused prototype, then defining what a responsible production build would require. Some solutions use AI; others work better with dependable rules and human approval. Enterprise commerce and integration experience inform the engineering; the goal is practical software, not research for its own sake or a solution tied to one platform.
Published products, prototypes and prior enterprise experience are distinguished in the portfolio. Confidential work carried out under prior employment is not presented as a list of ZaidanLab clients.
Proof, not promises
Explore working tools, published apps and interactive prototypes. Open a project to see what it does and how it was built.

Real-time market signal dashboard on Cloudflare's edge. Read the case study →

AI nutrition assistant, live on Google Play. Read the case study →

AI-assisted career search app, live on Google Play. Read the case study →

Unity horror-puzzle game published on Google Play.

Unity action game published on Google Play.

Unity third-person zombie shooter published on Google Play.

Unity open-world survival game published on Google Play.

Unity cel-shaded arcade racing game for mobile.

Consultation and content application.

Local service site with Google Ads and local SEO under active management.

Storefront and catalog engineering for a specialist retailer.

Adobe Commerce · Attributes, catalog and admin.
Common questions
We build applications that turn documents or user input into useful feedback, connect existing systems through APIs and automate repetitive data or reporting workflows. We first check the task and success criteria; not every solution needs AI.
Yes. We assess the available APIs, data access and permissions before proposing an integration. A targeted workflow can often be added without replacing the whole platform; feasibility depends on your systems and requirements.
We agree on representative inputs and acceptance criteria before scaling up. Output quality, error handling, review effort and provider costs matter alongside speed. A pilot tests the proposed workflow; it does not guarantee a financial return.
Both. Engagements can start with a focused prototype, an internal tool or one workflow integration. Production security, operations and ongoing support are scoped explicitly rather than assumed to be included in a demo.
Yes. Platform hand-offs, audits, performance fixes and ongoing maintenance are common engagements, in addition to new builds.
Contact ZaidanLab by email or WhatsApp with the problem, the tools you currently use and the outcome you want. The first consultation and scoping call is free.
Tell us which app your business needs or which repetitive workflow you want to improve. The first consultation is free.