Company
We build software that reads the physical world. Our platform takes the visual data organisations already generate — camera feeds, drone imagery, field photography, spatial scans — and converts it into records that operational and engineering teams can act on.
Position
Most visual AI tools stop at detection: they tell you something was seen. Our objective is the step after that — a durable record per asset, site and workforce, held in one data model, so detection becomes condition history, forecasting and workflow rather than another notification stream.
That is why Infrastructure Intelligence, MRLAYOUT and EHS & Workforce Intelligence are one platform. They share capture, share the intelligence layer, and share the spatial environment findings are read in.
How we work with customers
Mission & vision
Three statements that decide what gets built, what gets refused, and how a deployment is judged.
Mission
Organisations already generate enormous volumes of imagery from cameras, drones and field capture. Our mission is to convert that stream into a durable, structured record per asset, site and workforce — so decisions rest on evidence rather than recollection.
Vision
Inspection, spatial capture and workforce intelligence should not be three disconnected tools. We are building a single environment where a defect, a measurement and a site event live in the same data model and the same spatial context.
Practice
Model behaviour is tuned and validated on your own imagery, in your own conditions, before anything is relied on operationally. We prefer a narrow deployment that holds up to a broad one that does not.
Platform values
These are engineering and commercial constraints we hold ourselves to, not slogans.
Every number we publish has to trace back to a measured result. If it cannot, it does not go on the page.
Capture, detection and spatial output share a single record so findings compound over time instead of scattering.
We integrate into the ERP, CAD, BIM and operational systems already in use rather than asking teams to migrate.
Retention, access control and processing boundaries are agreed with your compliance team before deployment.
One workflow made genuinely reliable is worth more than a platform-wide rollout that nobody trusts.
Where a model is uncertain we say so, surface confidence, and keep a human in the decision.
About us
ViSNET AI was founded in 2022 by a team working on deep vision systems — surveillance, autonomous drone inspection and advanced image and video analysis — with the goal of making those capabilities usable inside real operational workflows.
Founder & CEO
A fervent entrepreneur with a visionary approach, Sai Krishna founded ViSNET in early 2022. His leadership and unyielding commitment have been instrumental in shaping the organization's journey from its inception. As a dynamic force, he infuses ViSNET with passion and forward-thinking, propelling it towards an innovative future. He leads the company's direction, commercial strategy and partnerships, and holds a postgraduate degree in Computer Science and Engineering from La Sapienza, Rome.
Focus
Founder & CTO
Govardhan is a researcher and engineer who graduated from La Sapienza with a degree in AI & Robotics, and founded ViSNET in early 2022. He leads the intelligence layer — detection models, spatial reconstruction and the architecture that turns visual data into durable records.
Focus
Chief Operating Officer
Madhu Babu brings a background in business management and marketing alongside a bachelor's degree in Computer Science. He keeps delivery, coordination and day-to-day operations running as deployments scale.
Focus
Contact
For product, partnership or pilot enquiries: team@visnetai.co
We would rather understand your operation before proposing anything. A first call is a scoping call.