Vellum Unclaimed
Vellum is an AI platform that helps teams build, deploy, and govern AI agents to automate workflows.
Vellum is an AI platform that helps teams build, deploy, and govern AI agents to automate knowledge-work workflows. It supports no-code and low-code agent creation and connects to a wide range of apps to automate common tasks such as email triage, scheduling, data entry, and process automation. The platform emphasizes trust and security and provides governance, privacy controls, and clear usage policies to keep data safe and operations transparent. Designed for startups, product teams, and enterprises, Vellum aims to empower organizations to scale AI-native workflows while maintaining control over data, access, and compliance. Through a centralized workspace, memory and context management, multi-channel support, and orchestration capabilities, the platform enables teams to prototype, deploy, and monitor AI agents across the business.
To empower teams to harness AI for operational efficiency and trusted automation by providing a transparent, secure, and scalable platform for building and running AI agents.
What we offer
Vellum
Vellum automates daily tasks through a personal AI assistant, enhancing productivity while ensuring data privacy.
vellum.ai/Who do we serve
Growth Stage Technology Companies
Tech firms scaling AI-native automation with governance.
Product Teams In Startups And SMBs
Product teams seeking rapid no-code automation with governance.
Enterprises Requiring Governance And Security
Enterprises needing secure, compliant AI automation across departments.
Professional Services Firms
Consulting firms seeking scalable automation to streamline knowledge work.
Market segments
Market size by segment
Growth potential (CAGR)
Intelligent process automation
Capabilities to create, orchestrate, and run AI agents that automate knowledge‑work workflows across connected apps (email triage, scheduling, data entry) and coordinate multi-step business processes.
Desktop personal assistant
A personal assistant that runs locally on a user’s device to perform daily tasks (email management, scheduling, booking, coding support) while integrating with installed apps and preserving on‑device data privacy.
No-code and low-code agent development
Visual and low-code interfaces for building, customizing, testing, and deploying AI agents and automations without deep programming, backed by a centralized workspace and reusable components.
AI governance and compliance
Controls and capabilities for privacy, data locality, access management, policy enforcement, and monitoring to govern deployed agents and ensure secure, auditable operations.
More information about our offering
Vellum
Vellum is a personal AI assistant that resides on your desktop, designed to connect to various applications, learn your preferences, and perform actions on your behalf. It simplifies daily tasks such as ordering groceries, booking restaurants, managing emails, and coding through seamless conversations. With a focus on privacy and security, it operates locally on your hardware, ensuring your data stays protected and under your control.
- Seamlessly Automate Daily TasksBy integrating with various applications, Vellum automates repetitive tasks and streamlines workflows, allowing users to focus on more important activities.
- Ensure Compliance and Data SafetyVellum emphasizes security and compliance, implementing robust privacy controls to protect user data and interactions, fostering trust with its users.
- Manage AI Projects in One PlaceVellum’s centralized workspace enables users to organize, develop, and oversee their AI-driven projects efficiently, enhancing collaboration and productivity.
- Empower Non-DevelopersVellum enables users to easily create custom AI agents without needing extensive programming knowledge, facilitating quick development cycles.
- Maximize Data ControlWith all operations processed locally, Vellum ensures that personal data remains within the user’s control, eliminating concerns over external data breaches.
- Streamline OperationsWith orchestration capabilities, Vellum integrates various workflows, ensuring all processes run smoothly and efficiently across different teams.
- Enhance Interaction QualityBy remembering user preferences and previous interactions, Vellum can provide personalized and context-aware responses, improving utility and user experience.
- Engage Across Diverse PlatformsVellum allows seamless interaction over various communication channels, enhancing accessibility and ensuring users can leverage AI assistance wherever needed.
References
Methodology and sourcing behind the figures shown above.
Intelligent process automation
Recent industry reports place the intelligent process automation (IPA) market in the mid-teens (USD 13–18B) for the early-to-mid 2020s and project strong double-digit growth. Sources: MarketsandMarkets and Allied/Allied-derived reports cite ~USD 13–14B in 2022; MarketResearchFuture and The Business Research Company report USD ~16–17.95B in 2025. Reported CAGRs cluster in the mid-teens (12.6%–16.8%). I estimate a current market size of ~$17.0B and a growth potential around 15.0% CAGR as a midpoint of these independent forecasts.
- surpassed $13.6 billion in 2022
- market size has reached to $17.95 billion in 2025
- grow to $38.96 billion in 2030 at a compound annual growth rate (CAGR) of 16.7%
- stood at USD 16.48 Billion in 2025 and is projected to reach USD 63.85 Billion by 2035, registering a CAGR of 14.5%
- generated $13.4 billion in 2022 and is anticipated to generate $50.7 billion by 2032 at a 14.6% CAGR
- expected to grow from USD 16.2 billion in 2024 to USD 42.1 billion by 2032, reflecting a CAGR of 12.6%
Desktop personal assistant
Estimate: desktop on‑device personal assistants are a niche subset of the broader intelligent/AI/digital assistant markets cited (range: ~USD 2–80B+ depending on scope). Using The Business Research Company’s 2025 intelligent personal assistant market ($14.26B) and comparable reports showing 2024–2025 market sizes and high projected CAGRs (23–44%), I assume a conservative 10% share for desktop, privacy‑focused, on‑device deployments in 2025 → ~USD 1.4B. Growth potential is set above the midpoints of reported CAGRs (23–44%) because edge compute, privacy demand, and LLMs optimized for local inference should drive faster adoption in this niche; I estimate a CAGR of ~28% for 2025–2030.
- market size has reached to $14.26 billion in 2025
- Market Size Value in 2025: USD 3.35 Billion; CAGR 44.5% (2025-2030)
- global smart virtual personal assistants market was worth around USD 14.00 billion in 2024; CAGR of 31.8%
- grow from USD 80.1 billion in 2025 to USD 228.6 billion by 2030 at a CAGR of 23.3%
No-code and low-code agent development
Used cited market reports for the broader low-code/no-code and low-code AI platform markets (USD 25.3B–37.4B range). No-code/low-code agent development is a specialist subset; assuming ~10–15% penetration of the low-code AI/platform market yields an estimated current market size ≈ USD 3.0B. Growth potential is aligned with reported market CAGRs for low-code and low-code AI platforms (≈28–29%).
AI governance and compliance
Primary anchor: MarketsandMarkets projects the global AI governance market at USD 0.89B in 2024 growing to USD 5.78B by 2029 (CAGR 45.3%). Other search results show similar-scale baselines (NextMSC/ AWS: ~USD 0.62B–0.94B in 2024–2025) and varied CAGRs (Forrester: 30% to 2030; Fortune Business Insights: 25.3% over 2026–2034). I selected the MarketsandMarkets 2024 base and 2024–2029 CAGR as the primary estimate while noting alternative forecasts range ~25–51% CAGR.
- projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.
- estimated at USD 620 million in 2024 and expected to be valued at USD 940 million by the end of 2025; reach USD 7380 million by 2030, with a CAGR of 51%.
- AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.
- global AI governance market was valued at USD 248.99 million in 2025... reach USD 2,140.82 million by 2034, exhibiting a CAGR of 25.30%.
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