Five service lines. One engineering culture.
Most clients come to us for one capability and discover they need two or three. Whether it's an AI feature, a commerce platform, or a marketing engine, we engineer it the same way: for production, for scale, and for the next decade of operation.
Where we go deep.
Each service is delivered by a senior team with shared standards , code quality, observability, documentation, so engagements feel coherent regardless of which line you're working with.
AI & Automation
Production-grade LLM apps, RAG pipelines, and ML services built for scale.
Product Development
End-to-end engineering for web, mobile, and SaaS. Design-ready, scale-ready.
Commerce & Marketplace
Multi-vendor marketplaces, headless commerce, payments, and OMS at production scale.
Enterprise Solutions
Custom software, ERP/CRM integrations, and legacy-system modernisation.
Digital Marketing
Growth treated like software: SEO, paid, automation, analytics, and CRO.
Built for these industries.
Our engineering approach is shaped for regulated, transactional, and compliance-sensitive sectors, where systems can't afford to fail.
Three models. Pick the one that fits.
We shape the commercial structure to the work, not the other way around. Most clients move between models as their needs change.
Bring Your Vision to Life
Perfect if you have a clear idea of what you want. We will design, build, and launch your project from start to finish.
Your Dedicated Tech Team
Best if you need ongoing tech help. It's like having your own team of experts working directly for your business.
Marketing & Audience Growth
Great for businesses that want more customers. We handle your online marketing, ads, and help you grow steadily.
Areas of expertise.
Six engineering disciplines, each backed by senior practitioners and shared standards. We pick the stack to match the job, these are our defaults.
Frontend Engineering
- React / Next.js
- TypeScript
- Performance optimisation
- Accessibility (WCAG 2.1 AA)
- Design systems
Backend Engineering
- Node.js / Python / Go
- REST & GraphQL APIs
- Microservices & monolith
- SQL + NoSQL design
- Caching & queues
AI & Machine Learning
- LLM integration (OpenAI, Anthropic)
- Fine-tuning & RAG pipelines
- ML model development
- NLP pipeline engineering
- AI observability
Commerce Engineering
- Custom commerce platforms
- Multi-vendor marketplaces
- Payment gateway integration
- Order management
- Headless commerce
DevOps & Infrastructure
- CI/CD pipelines
- Docker & Kubernetes
- AWS / GCP / Azure
- Terraform IaC
- Monitoring & alerting
Data Engineering
- Data pipeline architecture
- ETL / ELT processes
- Analytics infra (GA4, BigQuery)
- BI & reporting tooling
- Data quality frameworks
A clear process. No ambiguity.
Every engagement runs through the same five phases, so you always know what's next, what's done, and what's being decided.
Discovery
Technical audit of existing systems, business objective mapping, constraint identification, and stakeholder alignment.
Architecture
System design, technology selection, data model design, and API contract definition before development begins.
Delivery
Phased development with continuous integration, regular demonstrations, and transparent progress reporting.
Launch
Production deployment with monitoring, performance testing, and documented rollback procedures.
Optimise
Post-launch monitoring, performance analysis, and iterative improvement based on real-world data.
How we work, not just what we do.
Six practices that show up in every engagement, regardless of stack or sector.
Agile Delivery
Short, defined sprints with working software delivered each cycle, never months of invisible progress.
API-First Design
We design APIs before building implementation, ensuring clean contracts and parallel development.
Test-Driven Development
Automated tests at unit, integration, and e2e levels are written alongside feature code, not after.
Documentation as Code
Architecture decisions, API contracts, and operational runbooks are version-controlled, not slideware.
Security by Design
Security considerations are built into architecture decisions, not applied as a layer at the end.
Observability First
Every production system ships with monitoring, logging, and alerting configured before launch.
Frequently asked questions
What types of companies does Kirtav work with?
Kirtav works with mid-size to large enterprises across fintech, e-commerce, logistics, healthcare, and SaaS that require custom-built software at scale. We selectively partner with growth-stage startups when production-grade engineering is required from day one.
How does Kirtav approach new engagements?
Every engagement starts with a thorough technical discovery, understanding existing systems, constraints, and objectives, before any architecture decisions are made. We prioritise long-term maintainability over speed.
What is Kirtav's primary technology stack?
Our default stack is TypeScript/Next.js for web applications, React Native or Flutter for mobile, Node.js or Python for backend services, and PostgreSQL/Redis for data storage. We select technology based on project requirements, not preference.
Does Kirtav follow agile or waterfall methodologies?
Kirtav uses an agile delivery model with elements of thorough upfront design. We define architecture clearly before writing code, then deliver that architecture iteratively in defined sprints, not in a single large release.
What is Kirtav's approach to code quality?
All code undergoes automated testing, peer review, and static analysis before merge. We maintain agreed coverage thresholds and use continuous integration to prevent regressions. Documentation is written alongside code, not as an afterthought.
Can Kirtav engineer marketing alongside product?
Yes, that's a core part of our positioning. We build the data infrastructure, analytics, and marketing automation that connects engineering and growth, so the team driving acquisition speaks the same language as the team building the product.
Ready to ship software that holds up, and marketing that compounds?
Book a 30-minute discovery call. We'll listen to where you are, recommend the right engagement model, and follow up within one business day.