Case study
GSynq: a motion-rich website its SEO team edits itself
GSynq, a digital marketing studio in India, launched a custom WordPress site by KaliIO with scroll-driven motion that its SEO team edits in Elementor.
- Marketing & Advertising
Industries
Marketing & Advertising
Content, campaign and analytics automation for brands and agencies.
In short
How can marketing teams and agencies use AI?
Marketing teams and agencies use AI to produce content variations at scale from approved briefs, analyze campaign performance across channels, segment audiences from customer data and test creative ideas faster. KaliIO builds these as tools inside your workflow, guided by your brand guidelines, with a person approving everything that goes out.
Use cases
AI for campaigns and content
-
Content generation at scale
Product copy, ads and posts in many versions from approved briefs and brand rules.
-
Campaign performance analysis
One view of spend and results across channels, with plain-English questions.
-
Audience segmentation
Segments built from customer and behavior data, ready for your ad platforms.
-
Creative testing assistants
Generate creative ideas and check them against past results before you spend.
Services
What we build for you
Generative AI Development
Custom generative AI features and products, from content and code generation to copilots that work on your own data.
LLM Application Development
Chat, search and document tools built on GPT, Claude, Gemini or open-source models, with evaluation built in from day one.
Data Analytics & BI
Dashboards and analysis that turn operational data into decisions, with AI-assisted insights.
Custom Machine Learning
Prediction, classification, recommendation and forecasting models trained on your data and run in production.
LLM Fine-Tuning & Optimization
Fine-tune, distill and quantize models for accuracy, speed and cost, in the cloud or on your own servers.
AI Integration
Add AI features to the software you already run, through APIs, plugins and workflow tools.
Case studies
AI that ships, not slideware
What we built, for whom, and what changed. Every result shows how it was measured.
Case study
Website and SEO content pages for an HR SaaS: Trilliant Software
KaliIO built the full website for Trilliant Software, an HRMS and payroll SaaS in India, including SEO content pages: 364 HR glossary terms, 47 free HR tools and 10 guides.
- HR glossary pages live
- 364
- Published at /hr-glossary/ on trilliantsoftware.com, September 2026
- Free HR tools live
- 47
- 27 letter generators, 11 calculators, 4 job-description pages, 5 policy and document tools; published at /tools/, October 2026
- HR & Recruitment
- SaaS & Startups
Case study
Relax Agro: one app for egg orders, stock and deliveries
Relax Agro, an egg distribution business in India, moved orders, stock and deliveries from Excel and paper into one mobile and web app built by KaliIO.
- Agriculture & AgriTech
- Logistics & Supply Chain
How we build
Five steps from idea to production
Every engagement follows the same path, so you always know what comes next and what you get at each step.
-
Discover
We learn your goals, data and constraints, agree on what success looks like, and check that AI is the right tool for the job.
What you get
- Problem statement and success metrics
- Review of your data and systems
- Scope and delivery plan
-
Prototype
A working prototype on your own data, so you can judge the approach before committing to a full build.
What you get
- Working prototype
- Approach and model options
- Risks and open questions
-
Pilot
A limited rollout to real users, measured against the success metrics agreed in discovery.
What you get
- Pilot with real users
- Evaluation results
- Go / no-go recommendation
-
Production
We harden it for real traffic: security, integrations, monitoring and documentation.
What you get
- Production deployment
- Integrations and access control
- Monitoring and runbooks
-
Run & improve
After launch we track quality, cost and drift and keep improving it, or hand it over to your team.
What you get
- Quality and cost monitoring
- Regular improvements
- Handover to your team
Trust & security
Your data, your IP, your call
The questions every team asks before sharing data with a partner, answered up front.
-
NDA before discovery
We sign an NDA, yours or ours, before you share any details about the project.
-
You own the IP
The code, models, prompts and documents we create for you are yours, with full rights transferred under your contract.
-
Data handled with care
Only the people on your project get access, and your data is returned or deleted when the work ends.
-
Hours that overlap yours
Daily working hours that overlap with your team, wherever you are.
FAQ
Questions we often get
How much does an AI project cost?
It depends on scope, not on a rate card. The main cost drivers are how many workflows the system covers, how ready your data is, which systems it must connect to, the model and its usage costs, and your security or compliance needs. On a discovery call we go through them with you and agree the scope before building.
How long does it take to build an AI product?
It depends on scope and on how ready your data is. Every project moves through the same steps: discovery, prototype, pilot, production, then ongoing improvement. The prototype comes first, so you see the idea working on your own data early, and the timeline for each later step is agreed before that step starts.
What is the difference between a prototype and a pilot?
A prototype shows the idea working on a sample of your data, usually without production integrations. A pilot puts a working version in front of a small group of real users, inside their actual workflow, and measures it against the success metrics agreed in discovery. The pilot result decides whether, and how, to move to production.
What do you need from us to get started?
A short description of the problem, an idea of what success looks like, and sample data or documents if you have them. It also helps to have one person who knows the workflow well and can answer questions during discovery. Book a discovery call and we will take it from there.
More industries
Other industries we build for
Healthcare & Life Sciences
AI for clinical documentation, patient engagement and operations, built with privacy and safety first.
Fintech & Banking
AI for onboarding, risk, fraud and customer service in lending, payments and banking.
Insurance
Faster claims and underwriting with document AI, triage models and agent assistants.
E-commerce & Retail
Personalization, search and support that lift conversion and lower service costs.
Start a project
Tell us what you want to build
A few lines are enough: the problem, the data you have and where it should run. We reply with next steps.