Pillar 01
AI Engineering
Build intelligent applications around your data and workflows.
- Generative AI
- RAG
- Machine learning
- Computer vision
AI engineering · Agentic automation · GeoAI
HIS AI SolutionsAI systems that
do the work.
Stop spending days on manual reports, inspections and spatial checks. Get AI systems with validation and human approval built in.
- AI Engineering
- Agentic AI
- GeoAI
- Data Engineering
- Cloud Platforms
- Enterprise Integration
10+ years GIS & AI · 35-district flood intelligence system · 15 specialist agents · 8 industries
One platform, field to decision
AI and GeoAI working on the same map.
Spatial data flows in from the field, specialist agents process it, and every result passes validation and human approval before it reaches you.
- Flood intelligence across 35 districts
- Crop and land monitoring from satellite data
- Infrastructure inspection with spatial checks
- Document AI for reports and records
- Data quality scoring before anything ships
- A workspace where agents run under your control
AI and GeoAI globe
What we build
Working systems, not slide-deck pilots.
Every engagement ships data pipelines, evaluation and governance alongside the agents themselves.
Pillar 02
Agentic Automation
Turn complex multi-step processes into controlled AI workflows.
- AI agents
- Orchestration
- Tool calling
- Workflow automation
Pillar 03
GeoAI & Data Intelligence
Turn spatial, satellite and operational data into decisions.
- GIS
- Earth observation
- Remote sensing
- Spatial analytics
Meet the engineer behind HIS
Muhammad Safdar
Data Scientist · AI/ML Engineer · GeoAI Specialist
From spatial data and infrastructure systems to AI-powered decision intelligence.
Muhammad Safdar is a Data Scientist, AI/ML Engineer and GeoAI specialist with 10+ years of professional experience across GIS, remote sensing, spatial databases, infrastructure, utilities, agriculture, disaster intelligence and data-driven decision support.
- 10+ years professional delivery
- MSc GIS, University of the Punjab
- GIS + GeoAI + AI/ML
- Pakistan + GCC experience
- 20+ professionals trained in GIS workflows
- 8 industry domains
Career experience, not HIS client delivery. Full disclosures
Have a complex data, AI or spatial problem?
Bring us a workflow, data problem or spatial challenge. We will help identify where AI and automation can create a practical starting point.
HIS AI Workbench
Human-controlled execution
Every result has a path to approval.
Workflow demonstration
AI agents
Built for real work, not just conversation.
Research
Research Agent
Collects evidence from approved sources, compares findings side by side and produces citation-backed research you can audit.
Documents
Document Analysis Agent
Reads uploaded contracts, invoices and forms, extracts the fields you define and validates them against your rules before release.
Engineering
Engineering Document Agent
Extracts and validates information from drawings, specifications and technical documents, flagging conflicts between them.
Data
Data Quality Agent
Profiles datasets, detects missing, duplicated or inconsistent values and produces a remediation report with prioritised fixes.
GeoAI specialisation
Where AI meets the physical world.
A decade of geospatial engineering behind AI for infrastructure, environment, agriculture and disaster risk.
- 01Satellite / GIS data
- 02Preprocessing
- 03Spatial analysis
- 04ML / AI
- 05Agent reasoning
- 06Human review
- 07Decision / alert
How we deliver
Autonomous where possible. Human-controlled where necessary.
01
Discover
Understand the workflow and the business objective.
02
Assess
Evaluate data, systems, feasibility and risk before any build decision.
03
Build
Develop the AI, data or GeoAI solution around real constraints.
04
Validate
Test performance, reliability and the human workflows around the system.
05
Deploy
Move validated systems into the appropriate environment.
06
Improve
Monitor, evaluate and iterate on what works.
Secure by design
Least-privilege access and controlled data boundaries.
Human governed
Sensitive actions require explicit authorisation.
Auditable
Actions, tools, approvals and outputs are traceable.
Transparent
Demonstration results are never presented as production outcomes.
Public engineering work
Problems turned into working systems.
Demonstration
GeoAI · Disaster Intelligence
Pakistan National Flood Intelligence
35districts in the demonstration
- Problem
- Flood decisions depend on weather, river and exposure data spread across multiple sources.
- What we built
- A GeoAI dashboard combining forecasts, rainfall, reservoirs, river observations and scenario planning.
- Outcome
- District-level signals brought together for flood decision support.
Demonstration
GeoAI · Spatial Resilience
GeoAI Resilience Intelligence Suite
5unified spatial workflows
- Problem
- Spatial risk assessments require separate checks for land, water, utilities and change.
- What we built
- A unified suite for suitability, flood response, utility risk, drainage and Earth-observation analysis.
- Outcome
- Five spatial assessment workflows accessible in one public suite.
Demonstration
Engineering AI · OCR
MEP Scanner + HIS Bill Scanner
2specialist OCR workspaces
- Problem
- Engineering drawings and invoices require repetitive extraction and quality checks.
- What we built
- OCR workspaces with structured extraction, QA and review-oriented interfaces.
- Outcome
- Drawing and invoice information prepared for human review.
Independent demonstrations; metrics describe build scope, not client results. Full disclosures
Free AI Assessment
Tell us what you want to improve.
Start with a short preliminary assessment, or tell us directly what is slowing your operation down.