This week, several AI startups and enterprise-focused companies secured major funding, with individual rounds ranging from tens to hundreds of millions of dollars.
The capital is going to companies that build tools organizations rely on daily, whether to streamline workflows, improve efficiency, or provide scalable AI infrastructure.
From AI-driven sales agents to developer productivity platforms and multimodal digital assistants, the common factor is practical impact. These products are embedded in core business processes, where usage and measurable results matter. The funding lets companies scale their technology, expand adoption across clients, and refine platforms for enterprise needs.
Here’s a look at the top AI startups that secured funding this week:
1mind
Founder/CEO: Amanda Kahlow
Funding: $30 million Series A led by Battery Ventures (total funding ~$40 million)
1mind builds Mindy, an AI-driven sales agent that handles inbound engagement, demo scheduling, objection handling, and onboarding. Platform is trained on a company’s internal knowledge base and provides consistent, reliable responses while indicating when information is unavailable.
Mindy helps sales teams scale operations by automating routine tasks without losing context or accuracy. The new funding will expand Mindy’s deployment across enterprise sales teams, improve the system’s ability to manage complex customer interactions, and support the development of features that maintain reliability and compliance in high-volume sales environments.
Scribe
Founder/CEO: Jennifer Smith
Funding: $75 million Series C led by StepStone (valuation ~$1.3 billion)
Scribe captures and maps enterprise workflows in real time. It’s core product, Scribe Capture, generates detailed guides with text and screenshots, while Scribe Optimize uses data from these workflows to highlight inefficiencies and track performance.
Platform allows teams to understand how work actually gets done and where improvements can be made. The Series C funding will enable the company to scale its platform across larger enterprises, refine its workflow analysis tools, and expand support for complex operational processes, helping organizations organize and streamline tasks across departments.
Parallel Web Systems
Founder/CEO: Parag Agrawal
Funding: $100 million Series A co-led by Kleiner Perkins and Index Ventures (valuation ~$740 million)
Parallel Web Systems develops APIs that provide live access to web content for automated systems. It’s platform converts web information into structured, ready-to-use formats, helping teams integrate real-time data into internal processes while reducing errors.
This approach allows enterprises to operate with accurate, current information without manually curating data. The funding will be used to expand the infrastructure, scale adoption across organizations, and enhance the platform’s ability to deliver reliable, structured data at scale, supporting decision-making and operational workflows that depend on live web inputs.
WisdomAI
Founder/CEO: Soham Mazumdar
Funding: $50 million Series A led by Kleiner Perkins, with participation from NVentures
WisdomAI enables employees to query unstructured data using natural language while preserving accuracy by limiting automated outputs to query generation. The platform allows teams to extract insights from complex datasets while retaining oversight over final results.
This makes it suitable for business environments where precision is critical. The funding will support the expansion of the platform to handle larger volumes of enterprise data, add support for multiple data sources, and improve the system’s ability to deliver structured, actionable information across business units.
Tavus
Founder/CEO: Hassaan Raza
Funding: $40 million from CRV, Sequoia, Scale Venture Partners, Y Combinator, HubSpot Ventures, and Flex Capital
Tavus creates digital agents called PALs (Personal Affective Links) that communicate through video, voice, and text while interpreting context and sentiment. These agents are used for customer engagement and internal processes, providing consistent interactions at scale.
By combining multimodal communication and contextual understanding, Tavus allows teams to handle repetitive interactions efficiently while maintaining personalization. The funding will enable wider deployment, further refinement of emotional recognition capabilities, and the addition of new features to improve engagement and internal communication across enterprise applications.
d‑Matrix
Founder/CEO: Sid Sheth
CTO: Sudeep Bhoja
Funding: $275 million Series C co-led by Bullhound Capital, Triatomic Capital, and Temasek (valuation ~$2 billion)
d‑Matrix develops a full-stack inference platform that combines in-memory compute, custom networking, and optimized software to support high-demand enterprise workloads. Its design increases processing speed and energy efficiency, enabling companies to run large-scale AI models more reliably and cost-effectively.
The new funding will allow d‑Matrix to expand its infrastructure capabilities, enhance performance for complex computational tasks, and provide scalable solutions to enterprises running resource-intensive processes, particularly those requiring rapid inference across multiple applications.
Attentive AI
Founder/CEO: Shiva Dhawan
Funding: $30.5 million Series B
Attentive AI focuses on automating construction workflows and on-site tasks. Its platform manages labor-intensive operations, improving coordination, tracking, and overall productivity.
By reducing reliance on manual oversight, teams can complete projects more efficiently and consistently. The funding will help the company expand deployment across construction sites, refine task management features, and support operational scale for enterprises in sectors where physical processes are central to workflow management.
Cursor
Founder/CEO: Michael Truell
Funding: $2.3 billion backed by Google, Nvidia, Coatue, Accel, and Andreessen Horowitz
Cursor provides an AI-assisted development environment that integrates into coding workflows, helping software teams collaborate, improve code quality, and increase productivity. The platform embeds intelligence directly into the coding process, supporting developers in navigating complex codebases and accelerating project timelines.
The valuation and backing allow Cursor to scale globally, extend feature sets for enterprise software teams, and improve collaboration and workflow integration across development environments, aiming to make coding processes more efficient and manageable for large-scale software projects.
