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CloudRunr

AI engineering · Bengaluru

We build AI systems that work inside your business.

From intelligent CCTV to enterprise knowledge and AI-powered workflows, CloudRunr designs, builds and deploys practical AI systems around the way your business actually operates.

Built in Bengaluru. Deployable in cloud, private environments or on-premises infrastructure.

System path

YOUR DATA

CCTVDocumentsBusiness Systems

CLOUDRUNR AI

VisionKnowledgeAutomation

BUSINESS OUTCOME

UnderstandDecideAutomate

What we connect

AI that connects to the systems you already have.

You don't need to rebuild your business around AI. We connect AI to the data, cameras, documents and workflows you already use.

SEE

AI Video Intelligence

Your existing CCTV becomes searchable operational data.

Entry · Exit · People · Movement · Dwell time · Zones

Explore Video Intelligence

KNOW

Private Enterprise Knowledge

Turn documents, policies, manuals and internal information into an AI knowledge system.

Document ingestion · Semantic search · Citations · Role-based access · Private deployment

Explore Enterprise Knowledge

AUTOMATE

AI-Powered Workflows

Identify repetitive work and replace manual steps with AI-assisted workflows and agents.

Document intelligence · AI assistants · Agents · Data extraction · Process automation

Discuss an AI Workflow

CONTROL

Private & Sovereign AI

Run AI where your data lives — including private infrastructure and on-premises environments.

On-premise AI · Private cloud · Local inference · Air-gapped environments · Controlled data

Explore Private AI

Not another AI pilot

We build systems that are designed to operate in the real world.

Your systems

  • CCTV
  • Documents
  • Databases
  • Business applications
  • Existing workflows

Our engineering

  • AI models
  • Computer vision
  • Retrieval systems
  • Agents
  • Data pipelines
  • Cloud / on-prem infrastructure

Your outcome

  • Operational intelligence
  • Faster decisions
  • Less manual work
  • Better visibility
  • Production AI

From problem definition to production deployment, one engineering team.

SEE

Your CCTV already sees everything.Now make it understand.

CloudRunr turns existing camera feeds into operational intelligence without requiring you to replace your CCTV infrastructure.

  • Entry & Exit

    Know when people enter and leave defined locations.

  • Person Detection

    Identify and track people across cameras and areas.

  • Dwell Time

    Understand how long people spend in a location.

  • Zone Intelligence

    Measure activity across specific operational areas.

  • Movement Tracking

    See how people move through a site over time.

  • Operational Analytics

    Turn camera feeds into measurable business data.

KNOW

Your company's knowledge should be searchable.

Deploy a private AI knowledge system over your documents, policies, manuals, reports and internal information.

  • Document ingestion
  • Semantic search
  • Cited answers
  • Role-based access
  • Private deployment
  • Enterprise data integration

Private Enterprise Knowledge

What is our travel reimbursement policy for international travel?

International travel reimbursement requires pre-approval from the reporting manager. Eligible costs include economy airfare, standard lodging, and a daily per-diem published in the finance SOP. Original invoices must be submitted within 10 business days of return.

1Travel_Policy_v4.pdf · p.62Finance_SOP.docx · §4.2

AUTOMATE

Have an AI idea?We'll build it.

If you have a business process where AI could help, we can take it from concept to production.

01

Understand

Understand the business problem and data.

02

Prototype

Build a working proof of value.

03

Integrate

Connect it to existing systems.

04

Deploy

Put it into production and support it.

AI application development · Computer vision · Document intelligence · Enterprise search · AI agents · Workflow automation · LLM integration · Model deployment · AI infrastructure

CONTROL

When your data can't leave your environment.

Not every AI workload belongs in a public cloud API. CloudRunr builds AI systems that can operate in private, controlled and on-premises environments.

  • Private cloud
  • Customer VPC
  • On-premises
  • Local GPU infrastructure
  • Restricted connectivity
  • Air-gapped environments where technically appropriate

Private deployment

  1. Users

    Staff in your environment

  2. CloudRunr AI application

    Interfaces and workflows

  3. Private LLM / vision models

    Local or private inference

  4. Customer data

    Cameras, documents, systems

  5. Customer infrastructure

    Cloud, VPC, on-prem

Selected work

Real problems. Working systems.

These are systems we have actually built. We don't invent customer names, ROI figures or percentages.

Computer Vision / Exhibition Analytics

People, movement and dwell across a live exhibition environment.

Problem
A leading exhibition organisation needed to understand how people moved through a large venue — not just that cameras were recording. Playback was not the same as operational intelligence.
What we built
A computer vision system over existing camera infrastructure, covering people counting, movement analysis, dwell time and heatmap analytics across 100+ camera feeds.
Technology
Computer vision · People counting · Dwell time · Movement paths · Heatmaps · Analytics reporting
Business outcome
Stakeholders could measure attendance patterns, movement and exhibit-area activity from the cameras they already had — without replacing the CCTV infrastructure.

Healthcare / Clinical Documents

Large-scale document processing for healthcare operations.

Problem
A healthcare technology company needed to process high volumes of clinical and operational documents that arrived unstructured, slowing downstream work.
What we built
Document processing pipelines for ingestion, structured information extraction and operational use of the resulting data — designed to sit inside existing healthcare workflows.
Technology
Document ingestion · Structured extraction · Validation workflows · Operational integration
Business outcome
Unstructured documents became structured information that operations could review and use. Exact throughput figures are held privately with the customer.

Insurance / Document Intelligence

AI-powered processing of document-heavy insurance workflows.

Problem
An enterprise insurance workflow depended on PDF-heavy intake. Teams were reading, extracting and checking fields by hand before anything else could happen.
What we built
A document intelligence platform combining PDF ingestion, structured extraction, data pipelines, analytics dashboards and an end-user web application for review.
Technology
PDF ingestion · Field extraction · Data pipelines · Analytics dashboards · Review application
Business outcome
Insurance documents moved from unstructured files into a reviewable operational dataset. We do not publish customer-specific processing volumes here.

Enterprise Knowledge

Private knowledge systems over organisational information.

Problem
Internal policies, SOPs, manuals and reports existed — but employees could not reliably find or trust an answer without asking a person who already knew.
What we built
An OCR ingestion pipeline, semantic search and a private knowledge interface so employees can ask questions of organisational documents and see the sources behind the answer.
Technology
OCR ingestion · Semantic search · Cited answers · Internal knowledge interface
Business outcome
Internal information became searchable in natural language, with source documents attached. The system was built for private organisational use, not a public chatbot.

Why CloudRunr

Small team. Serious engineering.

We're a focused team of engineers in Bengaluru. You work directly with the people building the system — not through layers of account management.

Engineering-first

We build systems, not just presentations.

Production-minded

We design for deployment, integration and operations.

Model-independent

We choose the right models and infrastructure for the problem.

Deployment-flexible

Cloud, private cloud, on-premises or controlled environments.

Let's find something in your business that AI can actually improve.

Bring us a process, a problem, a pile of documents or a camera system. We'll help you determine whether AI can make it better — and what it would take to deploy it.