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Category: Enterprise software & integration (Page 1 of 36)

Atlassian to acquire The Browser Company

September 4, 2025 /

From the Atlassian blog… (Also see details from The Browser Company)

Building the AI browser for knowledge workers – a browser that helps you do, not just browse.

Today, I’m excited to share an exciting step forward for Atlassian. We’ve entered into an agreement to acquire The Browser Company of New York, the team behind the incredible Dia and Arc browsers.

By combining The Browser Company’s passion for building browsers people love with Atlassian’s deep expertise on how the world’s best teams operate, we have the opportunity to transform how work gets done in the AI era…

Today’s browsers weren’t built for work. They were built for browsing – reading the news, watching videos, looking up recipes. And sure, you may do some of those things in your browser during the workday, but most of those tabs represent a task that needs to get done. A meeting to schedule. A design to review. A work item to update in Jira. A memo to write. Before you know it, it’s hard to see through the forest of tabs.

Knowledge workers need a browser designed for their specific needs, not one that’s been built for everyone on the planet. That’s what we will build with The Browser Company. Our vision is to make Dia the browser:

  • Optimized for the SaaS apps where you spend your day. Whether you’re working in email or a project management tool or a design app, your tabs will be enriched with context that helps move your work forward.
  • Packed with AI skills and your personal work memory to connect the dots between your apps, tabs, and tasks.
  • Built with trust and security in mind Security, compliance, and admin controls will be baked into every aspect of Dia.

https://www.atlassian.com/blog/announcements/atlassian-acquires-the-browser-company ■ https://browsercompany.substack.com/p/your-tuesday-in-2030

Neo4j launches Infinigraph

September 4, 2025 /

Neo4j, a graph database and analytics platform, unveiled Infinigraph: a new distributed graph architecture available in Neo4j’s self-managed offering. Infinigraph enables Neo4j’s database to run operational and analytical workloads together in a single system at 100TB+ scale, without fragmenting the graph, duplicating infrastructure, or compromising performance.

Teams can run both types of workloads in the same system, without ETL pipelines, sync delays, or redundant infrastructure. It can power autonomous agents, compliance systems, and transactional applications on one consistent source of connected truth. Teams can detect fraud and analyze fraud rings from the same dataset. They can generate real-time customer recommendations while analyzing decades of customer data and behavioral trends.

The database guarantees full ACID compliance so that every read, write, and update is consistent, reliable, and recoverable, even with billions of relationships and thousands of concurrent queries run in real time.

The new architecture uses sharding that distributes the graph’s property data across different members of a cluster. The graph stays logically whole, queries behave as expected, and applications scale without code changes or manual workarounds.

Infinigraph is available now as part of Neo4j’s Enterprise Edition and will soon be available in AuraDB, Neo4j’s cloud-native platform for graph applications.

https://neo4j.com/press-releases/neo4j-launches-infinigraph

DeepL expands real-time voice translation capabilities

July 23, 2025 /

DeepL, a global Language AI company, announced several updates to its live speech translation solution, DeepL Voice, including expanded language support and advanced meeting productivity features, with Zoom Meetings integration coming soon.

DeepL Voice provides multilingual speech translation in real time, both virtually and in person. DeepL Voice for Meetings provides translated captions during virtual meetings, while DeepL Voice for Conversations offers instant speech translation on mobile for dynamic face-to-face interactions. Updates include:

  • Expanded language coverage: DeepL Voice now supports spoken input in three additional languages – Mandarin Chinese, Ukrainian, and Romanian – adding to its existing lineup (English, German, Japanese, Korean, Swedish, Dutch, French, Turkish, Polish, Portuguese, Russian, Spanish and Italian). Translated captions are available in 35 languages supported by DeepL Translator, with new additions Vietnamese and Hebrew.
  • Enhanced meeting productivity features: Full transcripts and translations from meetings to streamline notes, minutes and follow-up tasks can be downloaded with dedicated admin controls to maintain enterprise-level security and compliance.

DeepL Voice for Meetings will soon be available for Zoom Meetings, expanding beyond its existing Microsoft Teams integration to make multilingual communication accessible on the virtual meeting platform. For in-person interactions, DeepL Voice for Conversations continues to be available on iOS and Android.

https://www.deepl.com/en/products/voice

Bloomreach and Snowflake partner

July 22, 2025 /

Bloomreach, a platform for personalization, today announced a new partnership with the Snowflake AI Data Cloud, empowering businesses to activate enterprise-grade data infrastructures across marketing channels. With Bloomreach and Snowflake, businesses can combine customer engagement with maximum personalization, connecting customer data stored in Snowflake with Bloomreach’s AI-powered marketing solutions. This partnership ensures marketers can activate their Snowflake data instantly and intelligently through Bloomreach.

Bloomreach’s native Snowflake integration is already available to businesses. It securely syncs customer attributes, event data, and product catalogs from Snowflake into Bloomreach. Businesses unlock the full value of their customer data, breaking down silos between storage and activation, and enabling personalization powered by AI.

Additionally, this integration enables marketing teams to:

  • Power Loomi AI agents in Bloomreach with enriched customer and product intelligence
  • Automate campaign triggers based on Snowflake events
  • Deliver timely personalization with fresh data and hyper-relevant insights
  • Safeguard sensitive data through selective import capabilities, transferring only the specific data required for a given use case

https://www.bloomreach.com/en/news/2025/bloomreach-and-snowflake-partner-to-unify-customer-data-and-ai-driven-activation-helping-marketers-personalize-the-entire-customer-journey/

TileDB announces partnership with Databricks to harness multimodal data

July 22, 2025 /

TileDB, a multimodal database company, and Databricks, a Data and AI company, announced a strategic partnership to eliminate data silos preventing healthcare and life sciences organizations from fully leveraging AI-driven drug discovery and clinical insights.

The partnership addresses the challenge of integrating complex scientific data that TileDB supports, including multiomics, medical imaging, and clinical records with the Databricks Data Intelligence Platform and Databricks’ analytics workflows — enabling the development of AI agents that can analyze all data types without requiring costly data migration or transformation.

TileDB addresses offers a sophisticated, omnimodal data management platform, which takes the notion of multimodality beyond text, video, audio, and images, and adds scientific modalities using multi-dimensional arrays. Scientific modalities are ever-evolving, and the omnimodal philosophy can support whatever is the most relevant and important data today. The TileDB – Databricks partnership establishes a bi-directional bridge between specialized data storage and powerful compute capabilities, underpinned by Databricks’ unified data governance model.

The integration is available now in private preview with select customers, and enables data stored in TileDB’s high-performance array database to run on the Databricks Data Intelligence Platform, and vice versa. Additional features will be rolled out in the second half of this year.

https://www.tiledb.com

Grammarly to acquire Superhuman

June 30, 2025 /

Grammarly, an AI assistant for communication and productivity, announced its intent to acquire Superhuman, an AI-native email app that helps users respond faster and save hours every week on their email communications. This acquisition accelerates Grammarly’s evolution into an AI productivity platform for apps and agents, positioning email as a critical communication surface in the company’s vision of an agentic future.

Email is the number-one use case of Grammarly for professionals, with the AI assistant helping to revise over 50 million emails per week across more than 20 email providers, including Gmail, Outlook, Apple Mail, and Superhuman.

Superhuman brings more than productivity gains to the acquisition. Building on its impressive adoption, Superhuman is defining the future of email and evolving into a comprehensive workspace for agents. Now imagine taking that efficiency even further with AI agents that triage your inbox, schedule your meetings, perform deep research over all your content, and write full emails in your own voice and tone. Imagine those agents reasoning, problem-solving, incorporating detailed context about your work, and interacting with other systems and agents. This future platform will enable scenarios where users can work with multiple agents simultaneously.

https://www.grammarly.com/blog/company/grammarly-to-acquire-superhuman ■ https://superhuman.com

RWS acquires Papercup’s IP

June 26, 2025 /

RWS, a content solutions company powered by technology and human expertise, has acquired the intellectual property behind Papercup’s AI dubbing technology – known for its unique ability to reproduce a speaker’s tone, pace and emotion faithfully.

The acquisition is a strategic step in RWS’s wider plan to embed advanced AI across its technology stack, accelerating its ability to support enterprise clients with multilingual video, voice and content localization across multiple formats and channels.

Papercup’s technology combines voice synthesis, thousands of unique AI voices and editorial tools for human language specialists to fine-tune the output – offering control and quality output comparable to human dubbing by actors and artists, at a fraction of the cost and turnaround time.

While AI-only dubbing tools often fall short on critical elements like timing, voice consistency and speaker identification, RWS’s hybrid approach puts humans in the loop to optimize tone, pacing and accuracy – enabling video dubbing that’s both scalable and brand-consistent.

Enterprise clients can expect to unlock value from video content that was once too expensive or complex to localize. Papercup’s technology will now sit alongside RWS’s existing suite of language technologies – including Language Weaver for neural machine translation and the Trados platform.

https://www.rws.com/about/news/2025/rws-acquires-papercups-ip ■ https://www.papercup.com

Algolia introduces context-aware retrieval for agents

June 17, 2025 /

Algolia, an AI-native search and discovery platform, released its MCP Server, the first component in a broader strategy to support AI agents. This new offering enables large language models (LLMs) and autonomous agents to retrieve, reason with, and act on real-time business context from Algolia.

With the Algolia MCP Server, agents can access Algolia’s search, analytics, recommendations, and index configuration APIs through a standards-based, secure runtime. This turns Algolia into a real-time context surface for agents embedded in commerce, service, and productivity experiences. Additionally, Algolia’s explainability framework with its AI is included for enhanced transparency.

Algolia’s MCP Server is purpose-built for enterprise-grade agent orchestration, enforcing policy at the protocol layer to ensure agents operate within role- and context-sensitive boundaries. It provides end-to-end observability, making every agent-triggered decision fully traceable and inspectable. The platform also enables privacy-aware personalization that complies with regional regulations like GDPR and CCPA, without relying on invasive tracking.

Enterprise customers, developers, and partners can start building AI-native applications, copilots, and intelligent agents today. Algolia’s MCP Server supports Anthropic’s Model Context Protocol (MCP) and can be integrated with leading LLM runtimes.

https://www.algolia.com/about/news/algolia-introduces-context-aware-retrieval-for-the-agentic-era

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