• Bland AI

  Participated · Series C · Jun 2026

  Bland builds in-house voice AI models optimized for long, non-linear, high-stakes conversations and deploys them as production-grade agents across phone, SMS, and chat. Its models are designed to handle long interactions—typical calls last 30 to 45 minutes—and to track context, adapt in real time, and carry interactions to resolution. Bland serves regulated industries including healthcare and financial services and handled more than 3.5 million calls per week, 175 million AI phone calls in the prior year, and counts 250+ enterprise customers and hundreds of thousands of self-service users. The company emphasizes building models purpose-built for voice to address latency, interruption, ambiguity, and continuity as core system requirements. Following the Series C, Bland plans to expand research, grow its engineering team, and continue scaling its platform across industries where conversations are central to operations.

• Glean

  Participated · Series F · Jun 2025

  Glean offers tools that let enterprise employees search corporate documents using LLM-powered natural language and integrates with apps such as Salesforce, Microsoft Teams, and Zendesk. The company also offers AI agents products to help automate workflows. Glean launched three years ago and has rapidly scaled its product suite across enterprises. In its last fiscal year Glean surpassed $100 million in ARR. Since early 2024 the company has significantly expanded both funding and valuation, reflecting strong commercial traction. The articles highlight continued product and go-to-market expansion tied to its enterprise search and agent offerings. Glean offers a Work AI platform built on enterprise search and retrieval-augmented-generation (RAG) technology that connects to 100+ SaaS connectors to surface trusted, referenceable answers. Originally launched in 2019 as an AI-powered enterprise search system, Glean now provides an AI assistant and a platform to build custom generative-AI apps and multi-step automations. The company emphasizes enterprise requirements—security, privacy, permissions enforcement, and answer referenceability—while supporting turnkey implementation without costly professional services. Glean recently announced next-generation prompting features (prompt builder, multi-step prompts, sharing, and a prompt library) in beta and new embedded solutions for Zendesk (available) and Salesforce Service Cloud (beta). Financially, Glean reported ARR more than tripling over the past year and has attracted large customers including Reddit, Instacart, Pinterest, Duolingo, Databricks, Samsara, and Grammarly. Glean provides an AI-powered enterprise search and work assistant that ingests first- and third-party data (support tickets, chat, CRM entries, documents) and uses GenAI, RAG and custom customer models to surface referenceable answers. The product supports over 100 connectors, lets customers switch among open-source models, and enforces source permissions so employees only see content they’re authorized to access. Glean charges a monthly per-seat subscription on annual contracts and reports annual recurring revenue that has nearly quadrupled in the last year. The company serves roughly 200 customers, including Duolingo, Grammarly and Sony, and employs about 300 people. Glean emphasizes mitigations for hallucinations (custom models, grounding via RAG) and positions security and privacy as core features of its offering. The team plans to use new capital to expand hiring, enhance the product and build out a broader go-to-market motion. Glean builds an AI-powered unified search platform that indexes and ranks content across multiple enterprise sources (knowledge bases, tickets, chat, pull requests) to surface personalized results and proactively recommend documents. Its product emphasizes easy setup (under two hours) and seamless workflow integrations including web app, new tab, sidebar, native search, and Slack commands, plus features such as shortlinks, company directories, dashboards, data-loss-prevention, and compliance reporting. Glean trains models on customer data to learn company-specific jargon and uses role, activity, and project context to personalize search relevance. Founded in 2019 by Arvind Jain and colleagues, Glean serves over 70 customers including Okta, Confluent, Samsara, Grammarly, and Outreach, and employs more than 100 people with plans to exceed 250 by year-end. Financially, Glean has raised a total of $155 million and recently closed a $100 million Series C at a $1 billion post-money valuation. The company plans to use the new capital to expand its team, build out go-to-market efforts, and drive new feature innovation. Glean offers a unified, personalized search and work-assistant product that indexes dozens of workplace applications and understands context, language, behavior, and employee relationships to find answers. The product proactively surfaces knowledge and helps employees connect with the right colleagues to get work done. Customers reportedly save 2.5 weeks per year per employee, and Glean is already deployed at more than 40 companies. The company emphasizes rapid implementation, saying it can be set up in under two hours. Glean is built on modern app APIs, cloud-scale indexing infrastructure, and recent NLP and deep-learning advances to deliver relevance without extensive manual tuning. Leadership and engineering talent come from Google, Facebook, Evernote, Intercom, and Pinterest, and the team positions the product as bringing consumer-grade search experiences to the enterprise to improve productivity.

• GTM Buddy

  Led · Series A · Apr 2024

  GTM Buddy provides an AI-powered revenue enablement platform that combines content management, knowledge management, learning management and digital sales room capabilities to improve sales rep effectiveness. Its new Sales Success solution is purpose-built to address "leaky" B2B sales funnels by activating sales plays in the context of a deal and pre-filling plays with persona-specific pain points, likely objections, and customer stories. The AI also generates playbook execution scores so managers can pinpoint deal-specific next actions and enable targeted deal coaching. GTM Buddy says it is the only native-AI solution to fully incorporate AI into the enablement process and complements its foundational suite of enablement tools. The company lists customers including Lean Data, Kandji, Sayari Analytics, Bizzabo, and Lob. GTM Buddy is led by founder Sreedhar Peddineni and is based in Durham, North Carolina, with offices worldwide; Sales Success will be rolled out to existing and new customers throughout Q2 2024. GTM Buddy offers a sales enablement platform powered by a Contextual AI engine that processes internal and external sales content, auto-indexes it, and surfaces the most relevant information in the context of conversations with prospective buyers. The platform is designed to help sellers accelerate deals and improve win rates by cutting through noise and delivering contextually relevant messages. The company was co-founded by Sreedhar Peddineni, Santa Thounaojam, Sundar Vellaichamy, and Chandramani Tiwary. GTM Buddy planned to use its recent funding to enhance product capabilities and to build out go-to-market teams across sales, marketing, and customer success. The startup is headquartered in Hyderabad, Telangana and lists its website as https://www.gtmbuddy.ai/. Financially, the company completed a $2.0M seed round in September 2021 led by Stellaris Venture Partners, with participation from several prominent angel investors.

• DIN

  Participated · Seed · Jul 2023

  Web3Go is developing an intelligence network on the blockchain that integrates its in-house AI and big-data infrastructure with on-chain and off-chain real-time data to produce AI-native digital assets. Its core product matrix includes real-time data processing capabilities, a generic multi-modal large model for content generation, and a digital asset circulation protocol for ownership verification and transactions. The company’s native asset creation platform, DIN, is expected to release a Beta by the end of July and to integrate real-time on-chain trading data by the end of Q3. Web3Go has consolidated real-time full-chain data for the Polkadot and BNB Chain ecosystems and provides data and AI services to multiple public chains and leading blockchain projects. The platform targets creators, analysts, traders, influencers and writers and emphasizes a fair, self-custodial, trustless creator economic system that verifies ownership and supports creator revenue. Financially, Web3Go recently completed a $4 million seed financing and has also received funding and support through accelerator and grant programs.

No current team members are available.