Observed Signal · Jul 27, 2026 · Technical Release · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Opensurvey Updates Dataspace with AI Agents
Opensurvey announced a major upgrade to Dataspace, its consumer intelligence platform, integrating AI agents across the end-to-end research workflow. The updated platform lets users conduct research planning, survey design, data collection, analysis and automated reporting through an AI-powered chat interface and offers interactions with synthetic consumers generated from real data. Opensurvey says Dataspace now runs numerical calculations through a deterministic statistical engine before AI generates insights to avoid numerical errors. The company, founded in South Korea in 2011, has served over 3,000 corporate clients and completed more than 25,000 research projects. Opensurvey claims a brand-tracking study that typically takes about eight weeks via traditional agencies can be completed in as little as one day using Dataspace.
Product upgrade from a MarTech vendor that introduces AI agents, synthetic consumers and a deterministic engine which can materially speed and potentially improve market-research workflows, but it is not a platform-level change from a major industry player.
Track MarTech Series Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Opensurvey announced a major upgrade to Dataspace, integrating AI agents across the research process.
- Opensurvey was founded in South Korea in 2011 and has served more than 3,000 corporate clients and completed over 25,000 research projects.
- Dataspace enables end-to-end research via an AI chat interface covering planning, survey design, data collection, analysis and automated reporting.
- Opensurvey says a brand tracking study that typically takes approximately eight weeks through a traditional research agency can be completed in Dataspace in as little as one day.
- Dataspace runs calculations through a deterministic statistical engine first, then generates AI insights grounded in those verified results; the platform also supports interaction with synthetic consumers generated from real consumer data.
Connected Companies & Entities
5 Entities mapped“MarTech Series (MTS) is a business publication dedicated to helping marketers get more from marketing technology through in-depth journalism...”
“As part of the iTech Series network, it acts as a "Brand to Demand" partner....”
“Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio...”
“PayIt Cut Its Database by About a Third with ZoomInfo, Saving Tens of Thousands (related post title) and Xactly Improved Account Scoring wit...”
“WellSaid Sets a New Industry Standard for AI Voiceover Pricing (related post title on the page)....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
OpenAI Launches Data Agent for ChatGPT Work
OpenAI introduced a new Data agent within ChatGPT Work, designed to let business users analyze company data through natural language queries. The agent connects to various data sources including Amazon Redshift, Datadog, Google BigQuery, ClickHouse, Databricks, MongoDB, and Snowflake, as well as files from Google Drive and SharePoint. It leverages semantic layers and business context from platforms like Databricks Genie, dbt, GitHub, and Snowflake Horizon. Users can build and share interactive dashboards, and the agent can also interact with BI tools like Tableau, Power BI, Sigma, and ThoughtSpot. OpenAI states that the agent is built from internal tools, with most of its product team and over two-thirds of its GTM organization using it. Early adopters include NTT Data, Thermo Fisher, ServiceTitan, and others.
Havas Invests in AI Research Platform, Enhances Client Insights
Vurvey Labs, an AI-powered research platform, announced $8.5 million in Series A funding led by Havas, which also becomes a customer and partner. The deal ties Vurvey to Havas through client recommendations, board representation, and integration across Havas' health and creative divisions. Vurvey's core offering is a 'people model'—a large-scale AI model trained on millions of customer interviews to generate AI agents and populations reflecting diverse personalities and behaviors. Training relies on self-recorded video interviews rather than text Q&As, capturing emotions and mannerisms. The company also uses first- and third-party data from social platforms and a brand's internal data. Havas Health uses Vurvey to create synthetic doctor personas for pharma clients, helping understand reactions to dosing approaches and accelerating scenario testing from weeks to minutes. The approach aims to preserve human insight while scaling interviewing across populations, per founder Chad Reynolds and Havas executives.
AdTech Platform Launches Four AI Advertising Agents
An ADZINE interview with Sara Sihelnik describes a recent rollout of four specialized AI agents for digital advertising. The agents are user-facing and designed to act as interactive partners for marketers: a central chat-based strategic co-pilot called "Agent Q" and three specialist agents for causal analysis, audience-pattern discovery, and creative (display/native) scoring. The architecture embeds specialists contextually within a single interface where Agent Q orchestrates communication and data exchange. The platform emphasizes a human-on-the-loop governance model (humans define KPIs, budgets and brand guidelines), real-time data inputs from campaign signals and the open web, and explainability to surface the data behind unusual recommendations. Sihelnik also warns that chat-first ecosystems (e.g., Perplexity, Open AI) risk shrinking the open web unless publishers and tools match walled-garden performance and transparency.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.
