Technology
CHAI AI: A Top Platform for Conversational Artificial Intelligence
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3 years agoon
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A comprehensive analysis of the top conversational artificial intelligence platforms
PALO ALTO, Calif., Feb. 14, 2024 /PRNewswire/ — In the dynamic landscape of AI-powered content generation, OpenAI stands at the forefront of Artificial General Intelligence (AGI) research. However, the primary purpose of products such as GPT-4 is to act as a productivity aid, for tasks such as coding. In addition, access to the best such models is often restricted by paywalls. These limitation have led to the growing popularity of other platforms which are primarily focused on providing Generative AI for consumers.
Sequoia Capital Generative AI Market Map
Compared to their Market Map from the previous year, Sequoia Capital has decided to categorize their latest Market Map based on use-case instead of by the type of model used. This change highlights two significant trends in the market: the shift of Generative AI from a broad technological tool towards more specific applications and value propositions, and the growing diversity of applications of generative AI that blend multiple modes of interaction.
It is clear that there are two main markets within Generative AI: consumers and prosumers. The prosumer market is largely dominated by ChatGPT, underscored by their recent launch of GPTStore. This platform aims to cater to the advanced needs of professional users and enthusiasts by offering specialized applications and tools powered by OpenAI’s closed-source technology.
On the consumer side, the main use case for Generative AI is for conversational purposes, with the leading platform, TikTok, amassing over 1 billion monthly active users. The largest emerging players are Character.AI and Chai AI, reporting 20 million and 5 million monthly active users, respectively.
The Platform Approach to Generative AI
One of the main differentiators setting TikTok, Chai AI, and Character AI apart is their platform-centric approach to Chat AI. These platforms rely heavily on User Generated Content (UGC), contrasting sharply with the single-character model offered within products such as Pi by Inflection AI. For instance, Chai AI reports the creation of an average of fifty thousand new “Chat AIs” (characters) daily. Similar to how individuals do not confine their viewership to a single TikTok channel, users on Chai AI and Character AI engage with multiple characters daily. Chai AI notes that each active user typically interacts with an average of five “Chat AIs” per day, and these “Chat AIs” vary day-by-day. This platform-based strategy has proven to be successful, as evidenced by Chai AI’s reported annual revenue of 12 million USD, almost all of the profit goes into hiring top Software and AI Engineers with lucrative salaries as advertised on their career page.
Chaiverse – The Developer to Consumer Ecosystem
One major product that sets Chai AI apart from others is its developer-centric approach. Unlike other Generative AI products, which typically offer models developed in-house, Chai AI has recently introduced their developer platform, Chaiverse. This platform enables the Large-Language-Model Developer community to train, submit, and test their models with real-world users in a consumer setting. According to the Chaiverse white paper, their mission is to accelerate the advent of AGI through massively distributed collaboration, or crowdsourcing. Chai AI’s research team purport to be lazer-focussed exploring what makes each Large Language Model (LLM) unique and to improve person-to-LLM recommendations.
The operation of Chai AI’s ecosystem is quite straightforward. Developers can easily upload their language models using the chaiverse pip package. Once submitted, these models are optimized for rapid processing and hosted on a dedicated GPU cluster for enhanced efficiency. After the model is operational, users of the Chai App can engage with it through arena mode, providing immediate numerical and textual feedback.
This feedback, along with the ranking of a developer’s model on the public leaderboard, can be accessed through the chaiverse package. Cash prizes are awarded based on the developers’ standings in the competition, incentivizing them to strive for innovation and excellence in their model submissions. Winners are frequently announced both on Chai AI’s twitter and instagram accounts.
Frequently Asked Questions (FAQ)
Q: What is Chaiverse?
A: Chaiverse is a platform developed by Chai AI that allows the Large-Language-Model Developer community to train, submit, and test their models with real-world users in a consumer setting, aiming to accelerate the development of AGI through crowdsourcing.
Q: What is the message limit on Chai?
A: The Chai app is free for everyone to use, but there is a message limit for unsubscribed users. These users can send up to 70 messages every 3 hours. This limit is designed to ensure a balanced and accessible experience for all users, while also encouraging those who frequently use the app to consider subscribing for unlimited access.
Q: Is the Chai App free?
A: Yes, the Chai App is free to download and use. However, it operates on a freemium model, where basic features are available for free, but users have the option to subscribe for enhanced features and access, such as an increased message limit beyond the free tier’s restrictions.
Q: Does Chai allow NSFW
A: Developers submit Large Language Models (LLMs) to Chai through Chaiverse. Chai has relaxed content moderation policies and allows users to submit any LLM they want as long as it passes Chai’s proprietary Safety Evaluation. Some of the user generated LLM’s are NSFW, but the vast majority are Safe for Work. More community information on this matter can be found in Chai AI’s Reddit.
Q: What AI Platform has no censorship?
A: Chai AI, as a user-centric platform that emphasizes the power of User Generated Content (UGC) within its generative AI ecosystem, adopts a policy that minimally censors content. This approach allows for a broad spectrum of user interactions and expressions, reflecting the platform’s commitment to fostering a diverse and dynamic environment.
Q: Is the Chai App actually bots?
A: Yes, the Chai App primarily features interactions with AI-driven bots, trained to mimic human-like conversations and behaviors. This is a core aspect of Chai’s innovative approach, where the platform encourages developers within the Chaiverse ecosystem to refine and optimize their AI models for consumers.
Q: How many people use Chai AI?
A: As one of the leading platforms for conversational generative AI, Chai AI has garnered significant user engagement, positioning itself just behind Character AI in terms of popularity. By 2023, Chai AI reported an impressive daily active user (DAU) count of 600,000, with monthly active users (MAU) ranging between 4 to 5 million.
Press Contact
Joe Nelson
+1 (626) 594-8966
http://chai-research.com
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Technology
Anrok launches MCP server, putting your tax data inside the AI tools your team already uses
Published
34 seconds agoon
October 21, 2026By
Ask in plain language, get an answer that spans your billing system and Anrok, and act on it without opening a dashboard.
SAN FRANCISCO, Oct. 21, 2026 /PRNewswire/ — Anrok, the AI-native tax infrastructure for global commerce, today launched the Anrok MCP. It is a direct connection between your Anrok account and the AI assistants your team already works in, including Claude, ChatGPT, Cursor, and VS Code. Your team can read transactions, filings, exposure, customers, exemption certificates, and products, then act on what it finds without leaving the conversation.
Finance teams adopted AI assistants faster than their finance systems. A controller can ask an assistant to draft a memo or model a scenario. But to answer, “did we collect the right tax in July?” they close the assistant, open a dashboard, run an export, and build a spreadsheet. Anrok believes your tax data shouldn’t stay behind a login.
Anrok MCP puts tax data in the same thread as everything else your assistant can reach, including your billing system, your inbox, and your spreadsheets.
“Finance teams are increasingly doing their work directly with AI agents and their tax data should be in there with them,” said Brad Silicani, CEO at Anrok. “Ask it to reconcile your billing system and Anrok, and you get the reconciliation in minutes for your close. The AI does the thinking, and Anrok MCP exposes the tools. It’s the same platform either way, and it’s accurate underneath.”
What your team can do
Anrok MCP includes 30+ tools across transactions, filings, exposure, customers, exemption certificates, and products. Your team can:
Reconcile Anrok against your billing system and find the gap before you remit.Pull a revenue or transaction answer without building a report.Review a filing before Anrok submits it and avoid the amended return.Debug a single transaction without opening a support ticket.Get a recommended tax category for a new SKU, then map it so it never falls through again.Catch exemption certificates before they lapse.
The MCP also writes. It can create a product, create a customer, create or update a transaction, and upload a certificate. Every write shows what moved, so you can check it.
One platform behind one connection
Anrok MCP is part of Headless Tax, the way into Anrok’s platform through the Anrok APIs and MCP. Behind it, one platform runs all five tax jobs: monitor and manage, register, calculate, file and remit, and reconcile and audit. That includes reconciliation, which no other tax platform has built in. One source of truth means one connection reaches your transactions, filings, exposure, customers, and certificates. The same intelligence powers Anrok across the dashboard, the API, and your agents.
“Anrok’s MCP cut our monthly Stripe-to-Anrok reconciliation from 4 hours to 30 minutes.” —Christie Perez, Indirect Tax Manager at Webflow
Availability
Anrok MCP is available now to Anrok customers. Connect from your AI tool’s connector settings, approve the scopes, and start asking. Documentation is at https://apidocs.anrok.com/mcp/.
About Anrok
Anrok is the AI-native tax infrastructure for global commerce. More than 5,500 users run sales tax and VAT/GST compliance on Anrok across 150+ countries, with more than $100B in processed volume. One platform runs all five compliance jobs, monitoring, registration, calculation, filing and remittance, and reconciliation, which no other tax platform has built in. Teams reach it however they work, in the product with Anrok Atlas, through the Anrok APIs, or by handing the job to an agent. The result is every tax dollar owed, collected, so tax becomes a pass-through instead of an expense.
Media contact
Emilie Murphy
emilie.murphy@anrok.com
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Technology
Alternative Data Market to Reach USD 40.35 Billion by 2035 as AI Developers and Corporations Expand Data Buying, Credence Research Finds
Published
37 seconds agoon
October 21, 2026By
LONDON, Oct. 21, 2026 /PRNewswire/ — Credence Research Inc. has added a new global Alternative Data Market study to its market intelligence portfolio, examining the competitive, technological and regulatory factors shaping demand through 2035.
The global alternative data market was valued at USD 6.32 billion in 2025 and is projected to increase to USD 7.56 billion in 2026 before reaching USD 40.35 billion by 2035, according to Credence Research. The forecast represents a 20.37% compound annual growth rate from 2025 to 2035. All market sizes, segment shares and regional shares are Credence Research estimates.
Key Takeaways
Credence Research estimates 2025 revenue of USD 6.32 billion and a 2035 market value of USD 40.35 billion, equivalent to 20.37% annualized growth over 10 years.North America represented 57.3% of modeled global value in 2025.Card and receipt transactions led the data type category with a 22.4% share.Hedge funds accounted for 24.6% of the end user category.Web-scraped data is forecast to grow at 24.00% annually, while Technology and AI developers is projected at 28.50%.The analysis distinguishes market revenue from adjacent products and services to avoid treating unrelated spending as part of the addressable market.
Scope & Segmentation – Alternative Data Market
The study measures licensed nontraditional datasets used for investment research, commercial intelligence and AI applications, including card and receipt panels, web traffic, app use, web-scraped information, geolocation, satellite data and sentiment feeds. Conventional market prices, ratings, cloud storage and consulting fees are excluded. Revenue is allocated to the buyer geography and is expressed in current U.S. dollars. The report evaluates the commercial drivers, market restraints, supplier positions and technology transitions affecting this defined market.
By data type: Card and receipt transactions; Web traffic and app usage; Web-scraped data; Geolocation and foot traffic; Satellite and weather data; Social and sentiment data; Other ESG, employment and B2B data.By end user: Hedge funds; Asset managers and investment institutions; Retail and consumer companies; Technology and AI developers; Other corporates and public sector.By region: North America; Europe; Asia Pacific; Latin America; Middle East and Africa.
Explore the full report: https://www.credenceresearch.com/report/alternative-data-market
Why This Report Matters
Defines the revenue boundary around purchased information rather than bundling unrelated analytics software and financial reference data.Compares investment-firm demand with newer corporate and AI developer use cases, including the privacy and licensing requirements that shape adoption.Provides a framework for evaluating vendor quality, consent, geographic coverage and data reliability before buyers commit to long-term contracts.
Market Overview
Alternative data vendors increasingly sell the same underlying information to different buyer groups. Quantitative funds use transaction, web and location panels to estimate business performance before quarterly filings. Retailers apply those signals to site selection and competitor analysis, while AI developers license web and app information for model training and retrieval workflows.
The forecast reflects a modeled change in buyer adoption, supplier economics and product mix rather than a guarantee of future transactions. Credence Research evaluates these mechanisms alongside recent regulatory and corporate developments. Decision-makers should distinguish disclosed company announcements from estimates of total market revenue.
Market Insights
Base year: 2025; forecast horizon: 2035; modeled CAGR: 20.37%.Largest modeled geography: North America (57.3% of 2025 value).Leading categories: Card and receipt transactions (22.4%) and Hedge funds (24.6%).Fast-growth categories: Web-scraped data (24.00% CAGR) and Technology and AI developers (28.50% CAGR).Geographic and segment shares are proprietary Credence Research model outputs, not audited vendor market-share disclosures.
Key Attributes
Attribute
Details
Historical period
2018–2025, as listed in the report
Base year
2025
Forecast period
2025–2035
Market size, 2025
USD 6.32 billion
Estimated market size, 2026
USD 7.56 billion
Market size forecast, 2035
USD 40.35 billion
Revenue CAGR, 2025–2035
20.37 %
Coverage
Global
Segments covered
Data type; End user
Geographies
North America; Europe; Asia Pacific; Latin America; Middle East and Africa
Market Segmentation Analysis
By data type
Card and receipt transaction panels led data types with 22.4% of 2025 spending because they can help estimate consumer revenue before corporate reporting. Web-scraped information is the fastest-growing data type in the model, supported by price monitoring, job-posting analysis and licensed AI data feeds.
By end user
Hedge funds accounted for 24.6% of 2025 end-user spending. Technology and AI developers have the faster modeled growth rate as demand expands from trading signals into model training, retrieval systems and agent-ready data services.
Card and receipt transactions held 22.4% of the data type segment in 2025, while Hedge funds led the end user split at 24.6%. Credence Research forecasts faster growth for Web-scraped data (24.00% a year) and Technology and AI developers (28.50% a year). These figures represent market estimates and are not company-reported results.
Market Drivers and Opportunities
Faster commercial signals
Card-spending, store-visit and app-usage panels can reveal operating trends before financial results are released. Funds buy such feeds to build forecasts, while retailers use them to compare competitors and local markets. Data coverage, representativeness and historical consistency determine whether these signals justify recurring subscription fees.
AI training and agent-ready feeds
Model developers are seeking licensed and documented sources of web, app and commerce data. Vendors that deliver clean feeds through APIs and data marketplaces can reach customers outside the hedge fund sector. Contracts for model training also require clear rights to collect, transform and reuse source information.
Distribution through existing research platforms
Financial-information terminals and cloud marketplaces reduce the engineering work required to test a new dataset. Bloomberg’s 2025 integration of Similarweb traffic data is one example of this route to market. Distribution can broaden adoption, although vendors may surrender part of the economics to aggregators.
Regional Analysis
Credence Research estimates the following shares of global 2025 revenue: North America 57.3%; Europe 22.1%; Asia Pacific 14.6%; Latin America 3.1%; Middle East and Africa 2.9%. These allocations sum to 100% and reflect buyer location rather than the location of manufacturing or company headquarters.
North America led the market in 2025, supported by its established buyer base, supplier relationships and industry infrastructure. Europe and Asia Pacific are also material demand centers, although the competitive mix and procurement requirements vary by country. The smaller regions may record high percentage growth from a limited starting base, and such rates should not be mistaken for leadership in absolute spending.
North America benefits from a dense concentration of quantitative funds, financial data platforms and AI developers. European buyers must navigate stringent personal-data rules, which increases demand for licensed and aggregated feeds. Asia Pacific adds demand from financial centers and domestic digital platforms but faces varying localization requirements.
Market Challenges
Sensitive geolocation and transaction data create privacy, consent and national-security concerns. U.S. enforcement actions and cross-border data restrictions make diligence a core purchase requirement. Panel drift, incomplete histories and nonrepresentative samples can undermine the value of apparently timely signals; a faster feed is not necessarily a better forecast.
Buyers should also evaluate the total cost of adoption, interoperability with existing systems, vendor continuity and country-specific compliance obligations. Those factors can lengthen purchasing decisions even where the long-term growth thesis remains intact. The study distinguishes these commercial constraints from the market forecast itself.
Future Outlook
North America holds the largest modeled share because it hosts many hedge funds, data vendors and AI companies. Asia Pacific has the fastest forecast regional growth as investment institutions and local digital platforms expand. The strongest opportunities lie in licensed, traceable and AI-ready datasets that meet regulatory and quality standards.
Through 2035, suppliers that convert product capabilities into repeatable deployments, transparent pricing and reliable support should be better positioned than firms relying only on early demonstrations. Credence Research expects growth to vary across customer types and geographies rather than advance evenly each year.
Competitive Landscape
The market includes established multinational suppliers and specialized technology or service providers. Competition centers on product performance, customer relationships, integration capabilities, delivery reliability and the ability to meet sector-specific standards. The companies listed below participate in different parts of the value chain; their inclusion does not imply identical offerings or a verified ranking by market share.
Competitive analysis should distinguish vendors that directly sell the products or services in the defined scope from adjacent technology providers and end users. Credence Research uses supplier disclosures and industry evidence to assess participation. Comparable revenue for the narrow market definition is rarely disclosed, so this release does not assign unsupported individual company shares.
Key Players
BloombergS&P Global Market IntelligenceLSEGFactSetMoody’sSimilarwebPlacer.aiPlanet LabsYipitDataConsumer EdgeM ScienceThinknum
Recent Developments
June 2025: Bloomberg made Similarweb web-traffic analytics available through the Bloomberg Terminal ALTD function alongside other alternative datasets.
January 2025: The U.S. Federal Trade Commission finalized its order restricting Gravy Analytics and Venntel from selling sensitive location data.
Report Coverage
The full study covers market size and forecast, competitive conditions, value-chain structure, product and application segmentation, regional demand, market drivers, restraints, opportunities and regulatory developments. It provides a 2025 baseline and 2035 outlook and identifies areas where supplier disclosures support, but do not independently establish, Credence Research market estimates.
Explore the full report: https://www.credenceresearch.com/report/alternative-data-market
Chapter 1 Market Segmentation
Chapter 2 Introduction
Chapter 3 Executive Summary
Chapter 4 Global Alternative Data Market Trends and Developments
Chapter 5 Global Alternative Data Market Production, Supply and Demand Analysis
Chapter 6 Global Alternative Data Market Pricing Analysis
Chapter 7 Global Alternative Data Market Dynamics
Chapter 8 Global Alternative Data Value Chain Analysis
Chapter 9 Global Alternative Data Market Regulations and Policies
Chapter 10 Global Alternative Data Market Hotspots and Opportunities
Chapter 11 Global Alternative Data Market Outlook, 2025-2035
Chapter 12 Global Alternative Data Market Segmentation and Outlook
Chapter 13 Global Alternative Data End-Use and Application Market Outlook
Chapter 14 Global Alternative Data Geographic Market Outlook, 2025-2035
Chapter 15 Global Alternative Data Technology, Innovation and Sustainability Outlook
Chapter 16 Global Alternative Data Market Key Strategic Imperatives
Chapter 17 Competition Outlook
Chapter 18 Company Profiles
Chapter 19 Disclaimer
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About Us
Credence Research Inc. is a global market intelligence and consulting firm founded in 2015. It delivers market insights, quantitative analysis and strategic guidance to business leaders, investors, governments and nonprofit organizations. The company helps clients evaluate market opportunities, understand competitive dynamics and make informed strategic decisions.
Credence Research produces industry studies covering market size, forecasts, growth drivers, market trends and competitive landscapes. Its services also include customized research, commercial due diligence and go-to-market advisory. Findings draw on primary and secondary research, expert input and analytical modeling.
Contact Us
Credence Research Inc.
Tower C-1105, S 25, Akash Tower
Vishal Nagar, Pimple Nilakh, Haveli
Pune – 411027, India
USA: +1-888-600-6441
Email: sales@credenceresearch.com
Website: www.credenceresearch.com
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Technology
TECHNATION Appoints New Board Leadership and Welcomes Industry Leaders to National Board
Published
40 seconds agoon
October 21, 2026By
TORONTO, Oct. 21, 2026 /CNW/ — TECHNATION, Canada’s national technology industry association, is pleased to announce the appointment of Sylvie Ouellette as Chair and Colin McIsaac as Vice Chair of its National Board of Directors.
Sylvie Ouellette is President and Co-Founder of Versatil BPI Inc., a Canadian-owned, women-led technology SME based in the National Capital Region, specializing in data, artificial intelligence, and security intelligence. She has more than 30 years of industry experience, including senior executive roles at Electronic Data Systems and Hewlett-Packard. As Chair, she brings both multinational leadership, including representing TECHNATION at the last two G7/TECH7 summits, and firsthand experience building a Canadian technology company.
Colin McIsaac is the Vice-President, North America Commercial Sales at Lenovo, responsible for strategy and performance across the NA VLB Segment and Canada’s Public Sector business. A prominent voice on the North America Senior Leadership Team, he oversees sales, operations, culture, and P&L execution to ensure Lenovo consistently delivers industry‑leading value for customers. Under his leadership, the team brings Lenovo’s complete portfolio of hardware, software, and services to market, fueling growth through innovation, customer partnership, and operational excellence.
Sylvie and Colin have been active members of TECHNATION’s Board of Directors for several years, serving on the Executive Committee and Governance Committee, respectively.
“We are pleased to welcome Sylvie as Chair and Colin as Vice Chair to TECHNATION’s National Board of Directors,” said Kevin d’Entremont, President and CEO of TECHNATION. “As seasoned members of our National Board, they have been engaged in shaping the focus of TECHNATION in supporting the full technology ecosystem in Canada. Their combined expertise, leadership, and commitment to advancing Canada’s technology ecosystem will be invaluable as we continue to advance the priorities that matter most to the sector and to Canada’s digital future.”
In addition to these appointments, TECHNATION is pleased to welcome four industry leaders to its Board of Directors:
Heather Black, Regional Vice-President, Canadian Public Sector Leader, Palo AltoPeter Kelcey, General Manager, Customer Success Lead, Microsoft CanadaErin O’Halloran, Vice President & General Manager, Oracle Health CanadaRaj Thuppal, Chief Digital Officer – Public Sector, ServiceNow Canada
These appointments come at a pivotal moment for Canada, as governments and businesses accelerate the adoption of digital technologies that are transforming how the economy operates and grows.
“I am honoured by the trust my fellow Board members have placed in me to lead TECHNATION at such a defining moment for Canada,” said Ouellette. “As technology reshapes our economy, national security, and global competitiveness, we must strengthen Canada’s capacity to innovate, advance responsible AI, and ensure Canadian businesses across the full ecosystem help shape our digital future. I look forward to working with our members and government partners to turn collaboration into action that delivers meaningful value for Canadians.”
Together, these appointments strengthen TECHNATION’s commitment to bring industry expertise to inform public policy, champion member priorities, and advance initiatives that support Canada’s digital and economic growth. Their leadership will help drive key priorities including digital transformation, procurement reform, workforce development, and Canada’s long-term competitiveness.
TECHNATION also extends its sincere thanks to outgoing Board Chair, Lloyd Switzer, retired Chief Procurement Officer at TELUS, for his leadership and dedication to the board. “Lloyd has been an invaluable leader at TECHNATION, guiding the association through a period of executive transition, while bringing a strong industry perspective through his role as Chief Procurement Officer at TELUS,” said d’Entremont. “While his retirement marks the end of an exceptional chapter, he has ensured a smooth transition and a bright future for our association and Canada’s tech sector.”
TECHNATION’s National Board is comprised of senior executives from across Canada’s technology landscape, representing both Canadian tech firms and global enterprises with significant operations and investments in Canada. A full list of TECHNATION’s National Board of Directors can be found at www.technationcanada.ca.
About TECHNATION
TECHNATION is Canada’s authoritative technology industry association, representing the full spectrum of Canada’s tech ecosystem, from agile innovators to domestic and global tech companies. Trusted by both industry and government, TECHNATION is the neutral connector, convener and catalyst powering a digital future and positioning Canada as a global tech leader. Together with our members, we shape tech policy and insights, deliver forums to drive public-private collaboration, foster inclusive workforce development, and support global expansion. Learn more at www.technationcanada.ca.
SOURCE TECHNATION Canada
Anrok launches MCP server, putting your tax data inside the AI tools your team already uses
Alternative Data Market to Reach USD 40.35 Billion by 2035 as AI Developers and Corporations Expand Data Buying, Credence Research Finds
TECHNATION Appoints New Board Leadership and Welcomes Industry Leaders to National Board
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