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We help startups and software companies build AI-powered SaaS platforms, enterprise applications, AI automation, and dedicated engineering teams — designed for production, not for demos.
Product layer
React · Next.js · Flutter
AI orchestration layer
Agents · RAG · tool calling · evals
Service layer
FastAPI · queues · integrations
Data & infrastructure
PostgreSQL · Redis · Docker · Kubernetes
Production-ready
by design
What we are engaged for
AI Automation
AI Agents
SaaS Platforms
Enterprise Software
ERP Solutions
Dedicated Teams
We deliberately keep a narrow service line. Every engagement lands in one of these six areas, which is why our architecture patterns, delivery process and hiring stay sharp.
Replace manual, repetitive operations with reliable automated workflows — document processing, data extraction, reporting, back-office approvals and internal copilots.
Agentic systems that use your tools and data to complete real work — sales outreach, support triage, research and multi-step operational tasks with human oversight.
Multi-tenant products built to be sold — billing, roles and permissions, onboarding, admin tooling and the observability you need once real customers arrive.
Line-of-business systems and integrations that carry real operational load: role-based access, audit trails, reporting and clean interfaces to the systems you already run.
Sales, purchase, inventory, assets, finance and compliance modules — implemented as a coherent system rather than a pile of disconnected spreadsheets and tools.
Engineers who work as an extension of your team — your board, your standups, your codebase — on monthly contracts you can scale up or down.
The engineering is the same standard throughout — what changes is how we engage, how fast we ship, and how much process sits around the work.
Get to a credible, demoable, fundable product without hiring a full team first.
Cut the manual work out of daily operations and put your data in one place.
Add engineering capacity and AI capability without a long hiring cycle.
These are the systems we know deeply. Starting from an existing blueprint means less discovery, fewer surprises, and a faster path to something usable.
Real-time e-invoicing integration with Pakistan's Federal Board of Revenue — invoice validation, IRN retrieval, retries and an audit trail for every submission.
Agent-driven lead research, enrichment, personalised outreach and follow-up sequencing — with CRM sync and a human approval step before anything is sent.
A modular ERP covering sales, purchase, inventory, assets and reporting — deployed per client and extended with the modules each business actually needs.
Our SaaS baseline: tenant isolation, authentication, roles and permissions, subscription billing, usage metering and an admin console — ready to build your product on.
Cross-platform Flutter apps sharing one codebase across iOS and Android — offline-capable, push-enabled, and shipped through both stores.
Document ingestion, classification, extraction and routing — turning email attachments, PDFs and scans into structured records inside your existing systems.
We standardise on technologies with strong ecosystems and long support horizons, so the systems we hand over stay maintainable long after the engagement ends.
Backend & AI
Frontend & Mobile
Data
Cloud & DevOps
Every engagement runs through the same seven stages. You always know what is happening this week, what is next, and what "done" means.
Understand the business problem, constraints, users and success criteria.
Scope, architecture, milestones, delivery plan and a written estimate.
Flows, wireframes and interface design signed off before we build.
Two-week sprints, code review on every change, demo at every sprint end.
Automated tests, QA passes, security checks and user acceptance testing.
CI/CD pipelines, staged rollout, monitoring and handover documentation.
Agreed response times, enhancements and ongoing maintenance plans.
Bring in vetted engineers on a monthly contract instead of running a three-month hiring cycle. They join your standups, your board and your repository, and report to your leads. Scale the team up or down as your roadmap changes.
Your process, your priorities, your codebase, your IP. We supply capability, not opinions about how you should run your company.
Working hours are set to overlap with your team in Europe, the UK, North America or the GCC — not asynchronous hand-offs across a 12-hour gap.
Agencies and software companies can present our engineers as part of their own delivery team, under NDA.
LLM applications, agents, RAG pipelines, evaluation and prompt/tooling architecture.
Python/FastAPI and Node.js services, APIs, data modelling and integrations.
React and Next.js applications, design-system work and accessible interfaces.
Cross-platform mobile apps, store releases and native integrations.
Docker, Kubernetes, CI/CD, cloud infrastructure, monitoring and cost control.
A complete pod — engineers, QA and a delivery lead — owning a product area end to end.
No inflated claims and no borrowed logos — just the working practices we hold ourselves to on every engagement.
AI is designed into the architecture — with evaluation, fallbacks and cost control — rather than added as a demo feature.
Named engineers committed to your roadmap, not a rotating pool shared across a dozen accounts.
Access control, audit trails, data separation and integration design considered from the first sprint.
Two-week sprints with a working demo at the end of each one. Progress you can see, not just status reports.
Containerised, reproducible deployments on AWS, Azure or Cloudflare — portable, not locked to us.
Shared boards, direct access to the engineers doing the work, and honest reporting when something slips.
Most of our work is repeat work. We optimise for the second engagement, not the first invoice.
NDA before discovery, full IP assignment on delivery, and repository access from day one.
Each project below is documented with the business problem, the solution, the stack and the outcome — so you can judge the engineering, not the screenshots.
Automated e-invoice submission and validation against the FBR digital invoicing API, with queued retries and a complete audit trail.
Case study →Lead research, enrichment and personalised outreach handled by agents, with CRM sync and human approval before send.
Case study →Modular ERP with sales, purchase, inventory and asset management, deployed and extended per client.
Case study →Multi-tenant platform with subscription billing, role-based access, usage metering and an operations console.
Case study →Cross-platform apps shipped to both stores from a single codebase, with offline support and push notifications.
View project →A published casual mobile game with level progression, rewarded ads and in-app purchases.
View project →Zentorilabs Private Limited is a registered technology company based in Lahore, Pakistan, delivering to clients internationally.
Industries Served
Technology Expertise
Team Expertise
Engagement Models
Three tools we built because we kept doing the same arithmetic on first calls. No sign-up, no email wall — everything runs in your browser.
What a manual process costs you a year, what automating it would save, and how quickly the build pays for itself.
Open the calculatorAn indicative budget range, phase-by-phase timeline and team shape for your project.
Open the estimatorTen questions on data, process and sponsorship — the things that actually sink AI projects.
Take the assessmentNo thought leadership, no listicles — just what we've learned building these systems.
Most companies pick the process that annoys them most rather than the one that costs the most.
An agent demo takes an afternoon. One you'd let touch a customer record takes considerably longer.
Cheapest to make on day one, most expensive to change on day four hundred.
Zentorilabs Private Limited sells technology services: software development, SaaS and AI engineering, ERP implementation, dedicated engineering teams, and support plans. Every engagement follows the same commercial flow.
Defined deliverables, milestone-based invoicing, agreed acceptance criteria.
Monthly retainer per engineer, minimum one month, scale up or down with notice.
A short paid engagement producing architecture, scope and a costed delivery plan.
Ongoing plans with agreed response times, enhancements and hosting support.
Send us the problem, the constraints and the deadline. You'll get a straight answer on whether we're the right partner — and if we're not, we'll say so.
Book a free 30-minute call. We'll go through your requirements and tell you what it would realistically take to build.