Teradata Launches Autonomous Knowledge Platform for Enterprise AI

Zeta Global announced on Tuesday that it has agreed to acquire Digital Audience, a data infrastructure company. The deal will expand Zeta's identity and digital activation capabilities while adding an experienced team of data and AI engineers. The acquisition is also expected to expand the company's European presence and add established enterprise customer relationships in the region. Zeta said it will work with the Digital Audience team to ensure customer continuity after the deal closes. Financial terms of the transaction were not disclosed.

Veeva Systems announced that its Veeva DQS data quality system has aggregated and cleaned data for more than 1 million subjects across more than 1,000 studies, with more than 500,000 automated queries saving thousands of hours in data reconciliation for sites and sponsors. The system automates data workflows, classifies and visualizes critical data, and orchestrates risk-based actions while eliminating manual data reconciliation. It also enables risk-based quality management through automated data exchange with Veeva CTMS, instantly alerting clinical operations teams to key data changes such as protocol deviations and letting clinical data teams calculate, track, and action key risk indicators. Veeva DQS embeds AI to speed classification of study data and understand its purpose and criticality, generating items such as reports, listings, or test scripts and delivering role-based user experiences and workflows. Ibrahim Kamstrup-Akkaoui, vice president at Novo, said Veeva DQS can help manage, format, clean, and prepare growing clinical trial data for submission more efficiently, while Pavel Burmenko, lead of Veeva DQS strategy, said the platform is ushering in next-generation data management. Veeva also noted that Veeva Study Builder Agent, recently announced, configures Veeva EDC and Veeva DQS directly from a study protocol for faster, more consistent study builds.

Insight Partners, the New York venture capital and private equity firm, is launching the industry's first forward deployed engineering council, with members drawn from Microsoft, Data Bricks, SAP, Service now, Anthropic, Wonderful, one of its own portfolio companies, and others. Operating Partner Pablo Dominguez announced the initiative on Bloomberg Tech, saying the council will share best practices with Insight's portfolio companies and the wider industry. Dominguez cited an IDC report finding that 88% of all AI implementations have not gotten past the POC stage, and said the top five platform companies spent over 9.5 billion dollars this year building their own forward deployed engineering teams. He said the firm sees forward deployed engineers as a way to expand a company's total addressable market rather than add a layer of cost, because the engineers embed with customers and feed each implementation back into the product. Insight Partners, which has backed over 600 companies in its 30 years investing in tech and AI software, will also hold its Scale Up AI conference in New York, with leaders from Anthropic and the CRO president of Data Bricks discussing how that company scaled from 0 to 7 billion.

Supabase announced $150 million in new funding led by GIC, with Alphabet's independent growth fund CapitalG, IronArc, and SquarePeg also participating, just four months after the company's $500 million Series F. The company also announced it is acquiring Turso, a platform that lets developers access higher volumes of databases for agentic workloads. Supabase is now adding more than 1M users and 4M databases per month, with 70% of new databases created by agents or AI-driven tools, following a 600% year-over-year increase in databases reported in June. Turso founder Glauber Costa will join Supabase as Head of Agentic Services alongside co-founder Pekka Enberg and the rest of the Turso team, and the Turso platform will continue operations with a clear graduation path into the rest of the Supabase ecosystem. The round will accelerate Supabase's product development around agent-driven databases and provide liquidity for employees.