We’re an AI research and development company turning visionary concepts into intelligent reality. From GenAI and agentic systems to full-stack software and MLOps, we take ambitious work from research to dependable production.
Based in Sri LankaWorking worldwideBuilt around your environment
Production system / 01 Evaluation active
01 · ContextYour data + workflowGrounded in the way your business works.
03 · OutcomeUseful actionIntegrated, observed, and measurable.
01Research-led
Choose methods because they fit the problem—not the trend.
02Production-ready
Quality, cost, security, and reliability considered from day one.
03End-to-end
One accountable team across intelligence, product, data, and cloud.
What we deliver
Research, products, and engineering—connected.
From frontier exploration to dependable operations, LeapKode brings the disciplines required to turn ideas into useful intelligence.
01 / Research
AI research
Explore difficult intelligence problems through applied research in deep learning, neural architectures, computer vision, NLP, reinforcement learning, and multi-agent systems.
Deep learning architectures
Cognitive computing
Advanced NLP and vision
02 / Intelligence
AI development
Build production-grade intelligent systems that combine language models, retrieval, tools, and dependable orchestration around real business workflows.
Advanced RAG systems
Agentic and multi-agent workflows
Model tuning and optimization
03 / Product
SaaS development
Create secure, cloud-native SaaS products with thoughtful multi-tenant architecture, subscription operations, analytics, and room to scale.
Multi-tenant architecture
Billing and access control
Analytics and integrations
04 / Engineering
Software development
Design and engineer modern web, mobile, API, and enterprise software—with intelligence integrated where it creates genuine utility.
Web and mobile applications
APIs and microservices
Custom business platforms
05 / Insight
Data science
Turn raw and fragmented data into useful evidence through predictive modeling, statistical analysis, visualization, and decision-support systems.
Predictive analytics
Statistical modeling
Business intelligence
06 / Operations
DevOps & MLOps
Deploy and operate software and AI systems with reliable infrastructure, automated delivery, evaluation, monitoring, and controlled iteration.
CI/CD and infrastructure as code
Model deployment and versioning
Performance monitoring
How we work
Move quickly. Keep the risk visible.
Our process creates evidence early, adds engineering depth at the right time, and keeps every technical decision connected to the outcome.
01 / 04
01
Frame the right outcome
We align the user need, business target, operational constraints, and evidence required to call the work successful.
Outcome definition · Data review · Risk map
02
Prove value quickly
A focused prototype tests the highest-risk assumptions with real workflows and representative data before the architecture hardens.
Working prototype · Evaluation plan · User feedback
03
Engineer for production
We integrate the system, add guardrails and observability, and design for the performance, security, and cost profile it actually needs.
Integration · Reliability · Human oversight
04
Measure and improve
Launch is the beginning. We monitor quality and usage, learn from real behavior, and improve the system against agreed outcomes.
Monitoring · Evaluation · Iteration
About LeapKode
An engineering partner for difficult, useful work.
LeapKode is an AI and software engineering company based in Colombo, Sri Lanka. We work with teams that need to explore an AI opportunity, build a new digital product, or strengthen an existing system.
Our work combines applied research, product thinking, data engineering, full-stack development, and cloud operations. Each engagement starts with a clearly defined problem and a practical way to evaluate the result.
Start with the problem
We define the user, workflow, constraints, and measure of success before choosing a model or architecture.
Build evidence early
Small prototypes and representative data help us test the riskiest assumptions before a larger investment.
Engineer the whole system
The model is one part of the product. We also design the data, interface, integrations, infrastructure, and controls around it.
Design for life after launch
We make quality, cost, monitoring, documentation, and maintainability visible from the beginning.
Technology ecosystem
Architecture follows the problem.
We work across modern AI, application, data, and infrastructure ecosystems—selecting what fits your constraints instead of locking the solution to one vendor.
Intelligence
OpenAI
PyTorch
Hugging Face
LangChain
Applications
Next.js
React
FastAPI
Node.js
Data
PostgreSQL
MongoDB
Qdrant
Redis
Infrastructure
AWS
Azure
Docker
Kubernetes
The people accountable
Senior thinking stays close to the work.
LeapKode is led by practitioners who connect architecture, execution, and delivery from the first conversation onward.
01 / Leadership
Dulina Gunasinghe
Technical Architecture & Engineering
Leads system architecture across applied AI, product engineering, and production infrastructure.
A product idea. A workflow that could work better. A challenge you haven’t quite figured out. Share what’s on your mind — we’ll help you find a practical way forward.