HR
Resume parsing, candidate ranking, and onboarding assistants.
Services
From an internal operations platform to a customer-facing product, we bring product design, full-stack engineering, cloud infrastructure, and applied AI into one delivery team.
A client needs
A new digital product
Lykan offers
Product and web application engineering
Examples
Customer portal, marketplace, internal platform
A client needs
Disconnected systems brought together
Lykan offers
Cloud and integration engineering
Examples
APIs, data pipelines, deployment infrastructure
A client needs
Manual work reduced
Lykan offers
Applied AI and automation
Examples
Document review, search, prediction, media analysis
A client needs
A trusted long-term team
Lykan offers
Product delivery and support
Examples
Discovery, build, launch, improvement
01
We start with the business problem: who the product is for, what it must do first, and how to get there without wasted effort.
Explore Strategy & discovery
02
Interfaces that are clear to use and consistent to build, designed by people who understand how they will be implemented.
Explore Design
03
We design and build applications around the people who use them: dependable backends, thoughtful permissions, and room to grow.
Explore Build
04
We find what is slowing a system down and fix it, so the product stays fast and affordable to run as usage grows.
Explore Optimize
05
We build the infrastructure behind the product, from deployment and storage to integrations, monitoring, and the workflows that keep it running.
Explore Cloud
06
We add AI where it improves a real task: answering customers, preparing data, checking against rules, or spotting what a person should look at.
Explore AI & automation
07
The tools a team runs on every day: who the customers are, what is selling, and how the business is performing.
Explore Business systems
08
We look at how a system could be misused and close the gaps, so access is deliberate and problems are noticed early.
Explore Security
09
We keep working software working: tested before release, fixed quickly when something breaks, and looked after afterwards.
Explore Quality & support
AI for every team
We build these into your existing tools and keep a person in charge of every decision.
Resume parsing, candidate ranking, and onboarding assistants.
Reconciliation, expense categorization, and forecasting.
Policy automation and anomaly detection that surface issues for a person to review.
Personalization, content generation, and insight mining in your brand voice.
CRM enrichment, lead scoring, and outreach agents that keep a pipeline warm.
Dashboards, workflow optimization, and decision support for operators.
We choose tools to fit the problem. These are the ones we build with most.
Kinds of work
Client details stay private, so we describe the work by type rather than by name.
You do not need a large brief. Many teams begin with one problem.
A look at one problem area, such as a slow database, a sluggish API, or an unreliable server.
Output: Written findings and a prioritized list of fixes.
A defined piece of work: a new feature or module, a set of bugs, or an AI addition to an existing product.
Output: Working changes released to your environment for review.
A standing arrangement for teams that want an engineering partner to keep improving and looking after their product.
Output: Regular improvements, fixes, and a clear record of what changed.
Private by default
We sign an NDA before you share any materials. We discuss requirements privately, limit access to project materials, and agree on what, if anything, can be shared publicly.
Some work cannot be shown, so we talk about approach and technical decisions at a level you permit.
Share the problem at a level you are comfortable with. We can discuss sensitive details in a direct conversation.
Start a private conversation