Participated · Series A · Aug 2024

Noetik is an AI-native biotechnology company that combines self-supervised machine learning with high-throughput spatial omics and in vivo CRISPR perturbation to discover precision cancer therapies. Its discovery platform pairs human multimodal spatial omics data purpose-built for machine learning with a massively multiplexed in vivo CRISPR Perturb-Map system to train foundation models of tissue and tumor biology. The company has built one of the world’s largest spatial omics-based atlases of human cancer biology and trains multi-modal cancer foundation models such as OCTO. Proceeds from the recent Series A will be used to expand the atlas, scale Perturb-Map throughput, and increase training of its models. Noetik plans to leverage these platform capabilities to advance an innovative pipeline of cancer therapeutics candidates into the clinic and to establish strategic partnerships with academic institutions, health care providers, and pharmaceutical companies. The company is based in San Francisco and recently appointed Shafique Virani as Chief Business Officer to lead partnering efforts. Noetik has built a multimodal tissue profiling platform that combines self-supervised learning with spatial biology to address fundamental problems in cancer immunology. In under 12 months of operations the company has generated hundreds of terabytes of human data across genomics, transcriptomics, and proteomics to enable foundation models for cell and tissue biology. The company plans to use transformer-based machine learning methods applied to this internal data stack to accelerate target and therapeutics discovery. The recent funding will support substantial internal data generation efforts and continued development of those ML methods. Proceeds will also be used to expand Noetik’s team in machine learning, computational biology, and cancer immunology. Noetik is based in San Francisco and is led by CEO Ron Alfa, with founding leaders including CTO Lacey Padron and CSO Jacob Rinaldi.

Participated · Series C · Jul 2024

Mantle develops the TrueShape metal 3D printing technology designed to produce injection mold and die inserts with high accuracy, surface finish, and tool-steel properties. Its systems focus on printing tooling (not end-use parts) and have produced millions of parts while shortening tooling lead times and lowering costs. Mantle reported double-digit shipment growth over the past year and says its technology cuts tooling costs by more than 65% and accelerates development cycles by up to 90%. Customers such as Heyco Products and General Pattern report faster time-to-market (two months faster for Heyco) and reduced lead times (3.5 weeks saved at General Pattern) while minimizing active toolmaker hours. The company positions its technology as a solution for reshoring and acute skilled-labor shortages in U.S. manufacturing by automating tool production and increasing toolroom productivity. Headquartered in San Francisco, Mantle plans to expand its market, scale manufacturing, and develop new capabilities and materials supported by the recent financing.

Participated · Series C · Jul 2024

Mantle builds the TrueShape metal 3D printing platform optimized for producing injection mold tools and other precision tooling, focusing on printing tools for mass production rather than end-use parts. The company says tools made with its technology have produced millions of end-use parts while delivering the accuracy, surface finish, and tool-steel properties required for demanding tooling applications. Mantle reports customer results including cost reductions exceeding 65% and accelerated development cycles by up to 90%. The company has experienced double-digit growth in shipments and positions its technology as a response to toolmaker labor shortages and reshoring trends. Mantle plans to scale manufacturing, expand market adoption, and develop new capabilities and materials to meet rising demand. The company is headquartered in San Francisco, California. Mantle builds metal 3D-printing systems focused on augmenting traditional manufacturing by producing production-ready molds and dies rather than rapid prototypes. Its machine is roughly the size of two standing desks and integrates part finishing into the print workflow. The company uses a sintering-based hybrid technology and a proprietary material designed to be deposited densely and cut with high-speed cutting tools to achieve greater surface detail. Mantle aims to remove process steps and enable true production-oriented use cases in additive manufacturing. The startup announced L’Oréal as its first partner to use the printers for precision molds for products and packaging. Mantle launched out of stealth with $13M in funding from a syndicate of venture investors.

Participated · Series B · Apr 2024

Coalesce offers a data transformation platform built to work exclusively with Snowflake's Data Cloud. Its platform automates repetitive data transformation processes while standardizing data, combining an intuitive GUI, code flexibility, and automation to help data teams manage transformations more efficiently. Coalesce serves multiple Fortune 500 customers and is based in San Francisco. The company plans to use newly raised capital to further develop its platform, enhance performance, and introduce AI features. It also intends to expand its reach into existing Snowflake customers and grow its team from roughly 80 to about 100 employees by the end of the year. Coalesce closed a $50M Series B in April 2024, bringing total funding to $81M. Coalesce provides enterprise-focused data transformation tools that simplify modeling, cleansing and governance for analytics workflows. Its platform is built primarily for the Snowflake cloud and uses a column-aware architecture that leverages metadata to manage relationships during transformations. Users can apply automation templates that are editable and shareable, either via a visual design tool or code. Customers commonly engage Coalesce to transform data from disparate databases, apps and systems to meet specifications and to speed business intelligence queries. The company competes with legacy ETL and data integration vendors such as Informatica, Talend, Matillion, Incorta and Etleap. Coalesce was born during the pandemic, has multiple Fortune 500 customers, 40 salaried employees across four countries, and plans to invest in marketing, sales and engineering while building out its product and ecosystem. Coalesce provides a Data Transformation platform that simplifies the modeling, cleansing, governance, and documentation of data. The platform is designed to bring efficiency and flexibility to analytics and to increase data engineer productivity and insights for data-intensive architectures. Coalesce's platform is GA-ready for select customers on Snowflake now. Led by CEO and co-founder Armon Petrossian, the company plans to use its new funding to advance platform development while growing sales, marketing, and engineering functions. The company also intends to invest in its go-to-market strategy. Coalesce raised $5.92M in Seed funding to support these efforts.

Participated · Series B · Apr 2024

Coalesce is a San Francisco–based company that builds a suite of data transformation services, apps and tools designed to standardize and automate repetitive data transformation processes. The platform uses metadata to manage transformations and is built to work exclusively with Snowflake’s Data Cloud. Coalesce says its automation reduces manual coding and pipeline work, lowering costs and accelerating time-to-value for data teams. The company reports recurring revenue grew 4x year-over-year in the fiscal year ending January 2024 and counts “multiple” Fortune 500 customers. Coalesce plans to improve platform performance, introduce AI features (including capabilities tied to generative AI and machine learning) and focus on reaching existing Snowflake customers. The company has an ~80-person team and plans to expand to around 100 employees by the end of the year. Coalesce.io builds a data transformation product that unifies a graphical user interface, code, and automation to speed data teams' work and improve data quality. The company is led by CEO Armon Petrossian and has expanded its team into EMEA. It announced strategic partnerships with Snowflake and Fivetran and achieved SOC 2 compliance in 2022. Coalesce intends to use its new funding to invest in the product and its ecosystem. The company secured a $26M Series A to support these plans and continued growth in its platform and partnerships.