G22 Neural
Domain-fluent AI. Superhuman teams.
We engineer enterprise AI for South Asian companies. Forecasting, automation, computer vision and the platforms behind them, built by engineers who know your industry.
Our Belief
We don’t replace humans. We make them ten times more powerful.
Your demand planner shouldn't be replaced, but equipped with forecasts accurate enough to reshape the business.
Your site supervisor shouldn't be watched by AI, but helped by it, running ten sites from a single phone.
Your finance analyst shouldn't be automated away, but freed to close the books in hours instead of weeks.
The best AI doesn’t erase people. It amplifies them.
What We Do
Six ways we put AI to work.
From the forecast that sets the plan to the platform people use every day. Each capability stands on its own, and they are built to work together.
01 / Predict
Forecasting & Decision Intelligence
Demand, price and risk forecasts your planners can defend. Validated the way they will be used, with every number explained.
Read more02 / Optimize
Supply Chain & Operations Optimization
A forecast says what will happen. Optimization says what to do about it: how much to hold, where to send it and who to schedule.
Read more03 / Automate
Intelligent Automation & Document AI
Repetitive knowledge work handed to systems that read, extract, check and act, with a person in the loop where judgement matters.
Read more04 / Converse
Conversational AI & Copilots
Assistants that answer, guide and take action in plain language, over WhatsApp, voice, web chat or inside your own tools. In Sinhala and English.
Read more05 / See
Computer Vision
Cameras that report what they see. Inspection, counting and safety monitoring that runs on existing CCTV or purpose-fitted hardware.
Read more06 / Build
Software, Data & Platform Engineering
The systems AI runs on. Web and mobile platforms, data pipelines, dashboards and integrations, built to pass enterprise security review.
Read more
Industries
Built for the industries that run South Asia.
The models change from one sector to the next. The discipline does not: understand the operation first, then build for it.
FMCG & Food Manufacturing
- Demand and raw material price forecasting
- Production scheduling
- Line quality inspection
Construction & Engineering
- Voice-based site reporting
- Material tracking across sites
- Safety and PPE monitoring
Logistics & Distribution
- Route and load optimization
- Inventory placement
- Delivery exception handling
Retail & Supermarkets
- Store-level demand forecasting
- Shelf availability monitoring
- Customer assistants on WhatsApp
Banking & Finance
- Document and application processing
- Credit and churn risk scoring
- Customer service automation
Telecommunications
- Churn prediction
- Support ticket triage
- Field team scheduling
Manufacturing
- Visual defect detection
- Maintenance planning
- Procurement optimization
Healthcare & Public Sector
- Records digitization
- Resource and staff scheduling
- Citizen and patient assistants
Case Studies
Systems live in production.
How We Work
From conversation to production.
- 01Free · 30 to 45 min
We listen.
A structured conversation about your pain points, what you have tried and what success looks like. We share what we have seen in similar operations. No sales pitch.
- 022 to 4 weeks
We map.
Our engineers spend time inside your operation through interviews, data pulls and process mapping. You get back a ranked roadmap of AI opportunities with ROI estimates, and you keep it either way.
- 036 to 12 weeks
We build.
One focused system from the roadmap goes into production. Fixed scope, fixed timeline, milestone-based payments. A working system in your hands, not a slide deck.
- 04Ongoing
We compound.
Pilots that work expand across sites, functions and regions. A managed service keeps them accurate as conditions change. A long-term partnership, not a handover.
Trusted by
- PDPA Compliant
- Enterprise-Grade Security
- Vendor-Registered with Leading Enterprises
Ready to make your team superhuman?
Book a free 30-minute consultation. We listen, share what we’ve seen, and tell you honestly whether AI is worth pursuing for your problem. No sales pitch. No obligation.