Investments within AI

AI-powered workflows for growth teams that offer 40+ models and a series of proven playbooks.

Learn more about Around and why we invested in their vision. At Wing we’re committed to helping trailblazers like Dominik Zane and Pavel Serbajlo do their best work.

Customer marketing is one of the fastest growing jobs within technology companies yet these professionals have virtually no purpose built tools and often have to do things manually for a small subset of customers. Base enables customer marketers to scale their impact and efficiency.

Copy.ai is building a co-pilot experience for GTM teams to leverage AI for scaled content generation.

Older data loss prevention solutions are painful and ineffective. Cyberhaven offers a new paradigm driven by its unique data lineage technology to track data from its origin and everywhere it goes.

Deepgram is empowering developers to unlock the largest source of data in the enterprise: voice.

SOCs suffer from labor shortages and an ever proliferating set of security software to manage. Demisto helps companies get the most out of their security software and personnel.

Gong uses the "reality" of data combined with sophisticated AI to help sales organizations deliver superior results

Gradient is the only AI development platform that supports fine-tuning, RAG development, and purpose built LLMs out-of-the-box.

Juvo applies sophisticated AI to unique data to create financial opportunity for consumers in emerging markets.

Today it's impossible to get real-time metabolic insights on biology, an incredibly important dataset for the life sciences. Matterworks' ML approach enables real-time insights into cellular biology.

Moogsoft uses AI to help enterprises maximize the availability and performance of their digital systems.

Connected devices are increasingly numerous and important in the modern enterprise. Ordr delivers a system to discover, classify, secure and control them.

AI-centric applications need dedicated infrastructure to support their unique data types and workloads. Pinecone's managed vector data platform allows developers to easily bring AI into production at scale.

Computer vision is bound by what edge processing capacity. SiMa's MLSoC is over an order of magnitude more energy efficient than alternatives.

Snowflake's founders saw that the power of the cloud could revolutionize the way businesses use data. Today Snowflake's Data Cloud is the very foundation of the modern enterprise.

Customer experience is greatly affected by the behaviors, both positive and negative, in online communities. Spectrum Labs uses AI to help businesses promote healthy customer behaviors while reducing toxic ones.

Tome empowers makers to build decks with connected data powered by AI in a modern, mobile-first experience.

SaaS has gone from the exception to the norm over the past decade. Torii gives teams team leverage to manage the full SaaS vendor lifecycle at scale.

ML explainability is truly necessary for model diagnostics, monitoring, and compliance. Truera builds upon a decade of research to bring solutions build around this ML stack primitive to market.

70% of drug targets are too complex for small molecules and beyond the reach of biologics. Unnatural Product's ML platform engineers macrocycles to drug today's undruggable.

Energy organizations harness Validere's AI-powered software to turn disconnected, incomplete data into clear and immediately actionable pathways to financial and environmental value.

Drug discovery is only as powerful as the data that fuels it, and today that data is generated out of context from how disease occurs in living organisms while also failing to account for the diverse mosaic of genetic backgrounds across patients. Vevo is the first platform to make in vivo data generation scalable bringing this important context earlier in drug development to create better drugs.

Most warehouses are experiencing labor shortages and few can compete with the speed of the top few etailers. Vimaan's computer vision based warehouse inventory vision and verification significantly improves efficiency and accuracy.

Geospatial data is increasingly important to modern applications and analytics. Wherobots and its popular open source project Apache Sedona helps developers use modern data platforms for geospatial-centric workloads.