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Six things we look for on every record: DPIIT recognition, a CIN, a website, a description, a logo and a funding signal. Not held here: Website and Funding signal.
Where this is
District
Delhi
Delhi
Startup India records the district. We do not have a street address for this company, and we will not invent one.
No point is drawn, because we do not have one.
Geocode confidence: medium
What this record amounts to
BRIHAT-NET PRIVATE LIMITED is a Startup India record we can place no finer than Delhi district, which holds 43,654 records in this snapshot. 961 of those records are filed under AI, 2% of the district. It carries no funding signal of any class, which is true of 39,426 of the 43,654 records in Delhi.
Every figure above is counted from the 2026-08 snapshot and is the same number the page it links to prints.
In their own words
Brihat-Net is focused on research in and application of AI, mathematical modelling and scientific computation. We are studying, extracting and generalising mobility and interaction patterns in various networks. 1. Traffic Networks 2. Communication Networks 3. Supply Chains 4. Electric Grids 5. Organizational/Social Networks We are doing it in two parts. The first part is the prediction part and the second part is the planning part. What are we trying to solve/predict? 1. How do network interaction dynamics evolve? 2. How does a change in network structure affects the resultant network interaction dynamics? 3. Identification/prediction of motifs/sub-graphs with solid interaction. 4. Interaction attributes (class, volume, etc) prediction. Eg spatiotemporal prediction of a. power consumption b. public transport demand prediction c. water-food production and consumption d. communication network usage e. supply-demand of goods or services 5. How to deal with zero-shot, one-shot and few-shot learning problems? What kind of plans can we develop with this? 1. Given the prediction model that provides us with the interaction attributes on a given graph, we can identify or generate routes (sequence of links). 2. In the public transportation network, we can use it for vehicle scheduling, and route finding/routing given the resource constraints (fleet size, available staff, working hours, etc). 3. In urban planning, we can use it for planning transport networks, communication-transmission lines, etc. 4. In e-commerce and logistics, apart from point 2 it can be used for warehouse/inventory management. 5. In healthcare, it can be used for planning and predicting medicine supply-demand, pandemic spread patterns, etc. 6. In electric grids and power transmission, demand prediction and planned load shedding. It can also be a preemptive control unit to save from overload damages. 7. In communication networks, for planned frequency and resource allotment and sharing.
Written by the company on its public Startup India profile. Not verified by us.
What the record says
- DPIIT recognition number
- DIPP138576
- CIN
- U62011DL2023PTC412002
- Registered on Startup India
- 2023
- Self-declared stage
- Prototype
- Industry
- AI
- AI in Delhi
- 961 records
- District
- Delhi
- State
- Delhi
The neighbourhood
This record carries no locality line, so the district is the finest ring we can place it in.
What we do not know
- no website on file
- no incorporation date
- no funding signal of any kind
- no address beyond the district
We have no liveness signal for any company on this site: no filings feed, no revenue, no check that the website still resolves. A record existing here means a record exists, not that a business is trading.
Is this your company?
Everything here comes from public government records. If something is wrong, the authoritative place to correct it is the Startup India portal itself, and we will pick the correction up on the next monthly snapshot. To flag an error on our side, use the report link or write to trust@indianstartupmap.com.
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