Skip to content

Texture

4 viewers · 30d

Total raised

$12.5M

1 filing since 2025 · latest Equity filed

Cumulative raised
LAST ROUND
Equity · $12.5M
ROUNDS
1
INVESTORS
7
FOUNDED
2023
HQ
New York, NY
SECTOR
Energy
EMPLOYEES
N/A
30D VIEWERS
4

AI overview

Updated

Texture builds a data and operations platform for the electricity grid, connecting meters, batteries, EVs, solar systems and market signals into one system of record. Utilities, distribution cooperatives and virtual power plant operators use it to monitor grid infrastructure in real time, run distributed energy programs from enrollment through device dispatch, and measure and settle performance. The company maintains first-party integrations with more than 50 device manufacturers, including Tesla, Honeywell and SolarEdge, and connects to over 100 utility systems such as AMI, SCADA, DERMS, CIS and GIS. It was founded in 2023 by Sanjiv Sanghavi, Nicholas Alan Brown and Victor Quinn and is based in New York City.

What sets it apart

Rather than a point tool for one device class, Texture is a vendor-neutral data layer with first-party integrations across 50+ hardware manufacturers and 100+ utility systems, so a small co-op can launch a battery or EV program without building custom integration technology itself.

Funding history

1 round
EquityDec 19, 2025
Form D
+$12.5M$12.5M total

Latest SEC filings

via EDGAR · CIK 0001988123
Form D · Dec 19, 2025View on EDGAR

Products

1 tracked

Texture

Energy grid data and operations platform

A software platform the company calls the operating system for the energy grid: it ingests data from meters, devices, markets and utility systems, and provides monitoring, program management, dispatch and settlement across the grid hierarchy of sites, meters, transformers and feeders.

  • Real-time grid monitoring across sites, meters, transformers and feeders
  • Distributed energy program management from enrollment through device dispatch and performance tracking
  • Automatic device identification of EVs, batteries and solar from data patterns
  • Performance measurement and settlement for grid programs