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Industries

Real Estate & PropTech

Lead qualification, listing content and document workflows for developers and brokers.

Book a discovery callSee use cases

In short

How can AI help real estate developers and brokers?

Real estate teams use AI to score and follow up leads quickly, write listing descriptions, answer questions from agreements and approval documents, and estimate prices from comparable sales. KaliIO connects these to your CRM and document store, and keeps a person in charge of anything sent to a buyer or signed.

Use cases

AI from enquiry to agreement

Services

What we build for you

AI Agent Development

Agents that complete multi-step work across your CRM, ERP, inbox and APIs, with human approval where it matters.

RAG & Knowledge Assistants

Assistants that answer from your documents and systems, with sources, permissions and measurable accuracy.

Generative AI Development

Custom generative AI features and products, from content and code generation to copilots that work on your own data.

Custom Machine Learning

Prediction, classification, recommendation and forecasting models trained on your data and run in production.

AI Integration

Add AI features to the software you already run, through APIs, plugins and workflow tools.

AI Chatbots & Voice Assistants

Customer and employee assistants for web, WhatsApp and phone, in English and Indian languages.

Case studies

AI that ships, not slideware

What we built, for whom, and what changed. Every result shows how it was measured.

Case study Trilliant Software · India

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 GSynq · India

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

Case study Relax Agro · India

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
See all case studies

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.

  1. 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

  2. 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

  3. 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

  4. Production

    We harden it for real traffic: security, integrations, monitoring and documentation.

    What you get

    • Production deployment
    • Integrations and access control
    • Monitoring and runbooks

  5. 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.

All industries

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.