Participated · Series A · Nov 2021

Swish develops an AI-driven platform that automates ticket orchestration within existing IT service management workflows, routing tickets by skill, load, and cost while providing analytics for optimization. The product combines natural language processing, business process mining, and machine learning to group similar tickets, identify inefficient patterns, and recommend next-best actions. It is agnostic to ticketing systems and can be deployed on tools such as ServiceNow or BMC, and extended to other service areas like HR and facilities. The company emerged from stealth and plans to use new funding to expand headcount, bolster its product stack, and support go-to-market efforts. Swish has about 35 employees, serves 15 customers including Fortune 500 companies, and has raised a total of $15 million in capital. CEO Sebastien Adjiman is quoted on the company’s focus on converting historical ticket data into autonomous, data-driven decisions.

Participated · Series A · Nov 2021

Swish.ai provides a hyperautomation platform that applies AI, NLP, business process mining and machine learning to orchestrate ITSM ticket flows in real time. The platform expedites all types of tickets, reducing ticket “hops” and improving average resolution time by more than 50%. It integrates with leading enterprise service management tools and augments existing optimization initiatives such as bots, RPA and autonomous service desk solutions. Swish.ai surfaces real-time, performance-augmented analytics and strategic insights to help service leaders identify optimization opportunities. The company says the funding will be used to expand and further invest in its proprietary technology and broaden availability to enterprises and MSPs. The articles note increased IT ticket volume (up 30%) and demand driven by digital transformation and IT labor shortages.

Participated · Equity · May 2021

Groundwork BioAg develops and manufactures highly effective mycorrhizal inoculants, including flagship products Rootella and DYNOMYCO, for commodity, organic and specialty crops. Its mycorrhizae-based products increase yields, reduce dependency on phosphorus fertilizer, and improve soil carbon sequestration. The company has distribution partnerships across five continents and serves major crops such as corn, soybeans, grains, bio‑energy crops, fruits, vegetables and cannabis. Groundwork says it is the first to crack the code on mass production of highly concentrated, cost‑effective mycorrizal inoculants. Following record sales in 2019 and 2020, approximately one million acres (400 Kha) were expected to benefit from its products in 2021. The company is scaling up production capacity to meet anticipated global demand in 2022 and beyond.

Participated · Series C · Oct 2020

Launched in 2015 and based in Tel Aviv, Syte provides visual-search and product-discovery tools for e‑commerce, with products including Visual Discovery, Searchendising (auto-tagging) and a Discovery Marketplace. Its visual AI claims more than 95% object-matching accuracy in under a second and has been trained on millions of products, enabling multi-object recognition and detailed tagging. Syte counts customers such as Farfetch, Fashion Nova, Castorama and Signet Jewelers and reports a 38% customer-base growth since early 2020. The company says its solutions boost conversion by 177% on average and deliver a 423% average increase in ROI for brands. Syte is planning geographic expansion into the U.S. and Asia‑Pacific and intends to develop or acquire product-discovery technology spanning visual, text, voice and other modalities to broaden personalization. Syte builds a camera-based visual search engine and product-discovery tools that let shoppers snap a picture and find matching or similar items on retailer sites. Its platform includes a recommendation engine, tagging services for catalogs and an API for retailer integration. The company has landed customers across fashion and general retail, including Farfetch, River Island, Argos, Sainsbury’s and Kohl’s. Syte launched a product about 18 months after roughly three years of development and says it has seen rapid adoption since then. It is expanding into the U.S. market and exploring physical-retail use cases such as smart mirrors and mobile apps for store assistants. Syte projects 300% revenue growth this year and has not disclosed a valuation. Syte.ai builds a deep-learning visual search engine focused exclusively on fashion products, enabling users to hover over items in photos and get results for similar products on sale. The company offers search tools for online publishers and retailers and also publishes consumer products including a Chrome extension called Fashion Lover and a chatbot named Glamix. Syte.ai monetizes by sharing revenue with publishers and charging e-commerce stores a subscription fee. Founders spent the prior three years developing the deep-learning algorithms, which the company describes as “building a bridge between physics and fashion” to improve how machines understand images. After integration, the search can surface alternative items when products are out of stock and increase visibility of indexed inventory. The company plans to use its Series A to drive marketing and growth in the U.S. and to pursue partnerships and deals in Asia with its new Asian backers.

Participated · Equity · Nov 2018

Grid4C delivers AI- and machine-learning-powered SaaS analytics that model individual meters and endpoints using smart meter and IoT data to predict usage and disaggregate appliance behavior. Its platform produces billions of predictions for millions of smart meters every day and is deployed with leading utilities on four continents. Product offerings include Predictive Home Advisor (non-intrusive appliance fault detection and load disaggregation), Predictive Operational Analytics (meter, sub‑meter, and asset-level forecasting for DER coordination), and Predictive Customer Analytics. Grid4C is embedding its algorithms inside smart meters to run at the grid edge where data is more granular and real time. The company is recognized by GTM Research, Greentech Media, and Navigant Research for leadership in utility predictive analytics. Management says the business increases operational planning accuracy, reduces peak demand, increases energy savings, and creates new revenue and customer engagement opportunities.