Tax Manager

Koji adds panel recruitment from the Cint Exchange, with a published price per interview. AI-moderated voice and text interviews with a targeted audience in 130+ countries, from a €29 plan, billed only for interviews that pass a quality check. Company · September 20, 2026 · 3 AMSTERDAM, September 22, 2026 - Koji, the AI-native customer research platform, today announced panel recruitment inside its studies through an integration with the Cint Exchange, the world's largest research marketplace. Koji customers can now describe an audience in plain language, see a price per completed interview, and hold AI-moderated voice or text conversations with that audience the same day. Until now, Koji customers brought their own participants by link, embed, phone or CSV upload. That works for teams that already have an audience. Many have a clear question and nobody to send it to. The new channel supplies the audience. Koji turns a description such as "parents of teenagers in Germany who bought a car this year" into Cint's profiling catalogue, quotes the cost in credits before launch, screens each respondent on the study's own questions, interviews them in their language, and returns them to their panel. Koji bills only for completed interviews that meet a quality bar. A conversation that ends in under a minute or with fewer than three answers is reported as a quality terminate and costs the customer nothing. Prices are shown in Koji credits at one euro each on the public pricing page, with no minimum commitment. Themes are synthesised as interviews land, so a forty-interview study reads as a report while it is still in field. "The research industry prices access to people behind a demo call and a five-figure quote. We think a founder on a €29 plan should be able to talk to twenty people in Brazil tonight and know exactly what it cost. Cint gives us the people. We took care of the rest," said Nirmay Panchal, Managing Director of Koji. "With the rapid rise of AI-moderated research platforms, it's fantastic to partner with an innovative, upcoming player like Koji right at the start of their journey. Integrating the Cint Exchange directly into Koji's platform combines their intelligent pre-flight quality checks with our programmatic reach, enabling researchers and brands to execute global AI-moderated studies with complete transparency and speed. We're excited to support Koji's growth as they power continuous, data-driven insights worldwide," said Conor Climpson, Enterprise Sales Manager EMEA, Cint. Koji runs interviews in 28 languages by voice, text and phone. Cint Exchange recruitment is available today on every paid Koji plan. About koji. Koji is an AI-native customer research platform that runs voice and text interviews with real customers, codes every conversation as it comes in, and writes the report itself: the themes, the evidence behind each one, and clear next steps, ready before the study closes. Founded in 2026 and built in Amsterdam, Koji is used by more than 750 teams and is operated by Koji Labs B.V. Learn more at koji.so. About cint. Cint is the technology foundation for continuous research and measurement. With a global footprint and programmatic access to hundreds of millions of consumers across 130+ countries, Cint connects researchers, advertisers, and brands to reliable data from the world's largest network of high-quality sources. Learn more at cint.com. Media contact. Run your first AI-moderated study in 10 minutes. 10 free credits on signup. No credit card required. GDPR compliant EU or US data residency No AI training on your data

Cint, a research and measurement technology company, is working with Potloc to develop a Model Context Protocol (MCP) that connects AI agents directly with Cint's platform. The MCP allows users to execute research and measurement workflows through natural language prompts, enabling them to define audiences, evaluate feasibility, launch studies and monitor projects without deep technical expertise. Potloc is already using the MCP in its sampling workflow. Last week, an automated run configured a 20-market consumer banking study on the Cint Exchange in one pass — work that previously required manual configuration for each market. Mathieu Dussart, director of sampling strategy at Potloc, said fieldwork managers can now draft, price and validate target groups conversationally in a fraction of the time. Built on the open Model Context Protocol standard, the tool complements Cint's existing API and platform interfaces. Cint is inviting additional AI-forward companies to become beta partners.

New MCP collaboration between Cint and Potloc unlocks advances in AI-native Research and Measurement intelligence. Collaboration will help shape Cint's Model Context Protocol (MCP) capabilities, designed to connect AI agents directly with research and media intelligence workflows. September 01, 2026 15:05 ET | Source: Cint NEW YORK, Sept. 01, 2026 (GLOBE NEWSWIRE) - Cint, a global leader in research and measurement technology, today announced it is working with Potloc to help develop and test a Cint Model Context Protocol (MCP), an AI-native capability designed to connect AI agents directly with Cint's research and measurement platform. The collaboration comes as Cint works with customers to shape how agentic AI can accelerate day-to-day research and media intelligence workflows. The MCP brings the power of Cint into the context of daily work, allowing customers to orchestrate and automate their workflows without deep technical expertise. Benefits include the ability to integrate Cint with multiple systems that users interact with, and create skills and personalized outputs that suit specific personalized needs. Built on the open Model Context Protocol standard, the Cint MCP will allow users to carry out their research and measurement workflows using natural language prompts via the LLMs of their choice, with the AI agent translating that intent into action. "AI is quickly changing how businesses access information, make decisions, and execute workflows, and we believe research and measurement need to be available within those environments," said Lindsay Fordham, SVP Product at Cint. "By working directly with customers such as Potloc as we develop the Cint MCP, we can build around real-world needs and create a more intuitive way for AI systems to access verified human and media intelligence." For research teams, the Cint MCP is being developed to support workflows across the research lifecycle, including defining audiences through plain-language prompts, evaluating feasibility across markets, receiving pricing guidance, creating and launching studies, monitoring fieldwork and optimizing projects in real time. On the measurement side, Cint is exploring how MCP-enabled workflows can make it easier for customers to activate measurement studies, monitor in-flight performance and generate tailored insights at scale. The collaboration with Potloc will provide Cint with direct customer feedback as it continues to develop and refine these capabilities. Potloc is already using the MCP server in its day-to-day sampling workflow. Last week, a single automated run set up a 20-market consumer banking study on the Cint Exchange - 20 target groups, each with its own locale, feasibility check and bid - in one pass, work that previously meant configuring each market by hand in the console. "We've embedded the Cint MCP directly into our sampling workflows: our fieldwork managers draft, price and validate target groups conversationally, in a fraction of the time," said Mathieu Dussart, Director of Sampling Strategy at Potloc. "Working with Cint at this stage means the tool is being shaped around how research teams actually operate." Building an MCP reflects a broader shift in how Cint sees customers interacting with its technology. As AI increasingly becomes the interface through which organizations access information and execute work, Cint is building toward a future in which its research and measurement capabilities can be accessed directly within the AI tools and agentic systems customers already use. The Cint MCP complements the company's existing API and platform interfaces rather than replacing them, providing customers with another way to interact with the same underlying technology. With Potloc as an early design partner, Cint is now inviting additional AI-forward companies to be beta partners, using their feedback to guide continued development of the MCP experience. About Cint Cint is the technology foundation for continuous research and measurement. With a global footprint and programmatic access to hundreds of millions of consumers across 130+ countries, Cint connects researchers, advertisers, and brands to reliable data from the world's largest network of high-quality sources. Researchers can collect human and advanced data at speed. Advertisers and their partners can measure campaign effectiveness at scale. Brands can move from insight to action with clarity. By operating the connective layer between asking questions and measuring advertising outcomes, Cint enables organizations to move faster and make confident business decisions. At Cint, we're feeding the world's curiosity. About Potloc The world's consulting and private equity powerhouses turn survey questions into strategic revelations with Potloc. Our all-in survey platform is designed to be the fastest, most reliable asset for understanding market shifts. With unrivaled sample quality, AI-powered analysis, and end-to-end research oversight, it all adds up to a competitive advantage. Since 2013, we've helped 500+ global firms collect dynamic insights from 343M+ B2B and B2C responses across industries and geographies. Learn how Potloc supports high-speed, high-stakes missions, including corporate strategy, due diligence, pre-due diligence, portfolio monitoring, and thought leadership at potloc.com.