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Typeform has launched Research Flow, an AI-moderated research solution that combines survey-scale reach with qualitative interview depth. The platform enables teams to design studies, recruit participants, conduct moderated surveys and interviews at scale, and synthesise findings in hours rather than weeks. Research Flow addresses the traditional trade-off between fast surveys lacking depth and time-intensive qualitative research. Early studies show participants provide 4.5 times more feedback per question, generate three times more emotional insights, and spend twice as long engaging compared to traditional approaches. The solution acts as an AI research assistant throughout the workflow, from study design to analysis. It's designed for customer, market and public opinion research use cases. Research Flow represents Typeform's evolution from form builder to AI engagement platform, complementing its existing Growth Flow product.

Typeform has launched Growth Flow, an AI-powered customer lifecycle solution that transforms form responses into automated workflows. The platform connects lead capture, enrichment, nurturing, conversion, feedback and retention in a single system. Growth Flow enables businesses to automatically enrich responses with third-party data, route submissions to appropriate systems, and trigger real-time actions across channels including email, SMS and Slack. The platform includes native features for signatures and scheduling, allowing customers to complete transactions without leaving the workflow. Trusted by over 150,000 customers including 95% of the Fortune 500, Typeform reports its conversational forms collect up to 3.5 times more data than traditional forms. The launch marks Typeform's evolution from form builder to AI engagement platform, with AI-powered contact mapping and insights reducing setup time from hours to minutes.

Typeform powers real-time AI data enrichment with Scalestack's agentic platform. Typeform partnered with Scalestack to power real-time AI data enrichment for their product "Typeform for Growth", achieving 92% B2B match rates with sub-3 second response times. Learn how agentic orchestration and multi-source validation transformed the form experience for their customers. Scalestack The Autonomous Revenue Engine March 25, 2026 92%. B2B match rate average latency 1m+. forms enriched The ability to break apart problems differently with agents doing the work is really compelling. It's not just matching, it's reasoning. It's doing something that is novel and really clever and means that Scalestack Inc. can be really proud of the enrichment capabilities. Daniel Barker Head of Product at Typeform Typeform is an intuitive form builder that helps over 150,000 customers collect and validate the data they need to grow their businesses. Designed with striking visuals, a conversational flow, and powerful data capabilities, Typeform changes how brands get to know people. Typeform drives more than 600 million interactions each year and integrates with essential tools including Zapier, HubSpot, and Slack. The challenge for Typeform for Growth. Typeform wanted to pair its beautiful, human-first design with native AI capabilities. The company, known for helping customers build expert forms that collect up to 3.5 times more data and turn every form response into a personalized customer journey, wanted to release a new enrichment feature for its customers that would automatically enhance form responses with actionable data in real time. This capability had to work reliably across a wide range of use cases, from qualifying B2B leads to personalizing B2C experiences. But existing third-party enrichment tools weren't meeting the bar. Match rates were inconsistent, scalability too unreliable, and there was no clear way to increase data quality (e.g. autonomously distinguish between B2B and B2C respondents), which undermined trust and limited how much customers could automate. The Product Management team at Typeform, defined the success criteria: * 75%+ match rate to support reliable business processes (up from prior ~50%) * <2.5 second latency for real-time form personalization * Production-grade reliability at scale These were the basis for a new, foundational, product feature that would be made available to Typeform's entire customer base. The solution. Typeform chose Scalestack as the agentic engine powering their AI data enrichment capabilities. To that end, Scalestack Inc. deployed an agentic orchestration layer that would meet or exceed Typeform's requirements. The architecture uses a two-layer approach: * Orchestration Layer: For speed-critical lookups, Scalestack queries multiple data sources in parallel, achieving sub-second responses for high-confidence matches. Its orchestration engine processes millions of records across data providers while managing API rate limits, retry logic, full audit trails and conflict resolution automatically. Typeform got the scale of automation with the control of a bespoke process (thanks to its reasoning agents). * Agentic Layer: When standard enrichment falls short, Scalestack's AI agents autonomously research contacts across the public web, validating data against multiple sources and reasoning through ambiguity. For example, when a Typeform submission contains only a name and email, agents cross-reference the web, corporate websites, and public records to resolve identity, and enrich the record with confidence scores. Each agent decision includes full reasoning trails, so ops teams can audit why a match was made or rejected. This is how Typeform achieves 92% B2B match rates on 250K+ records per month, even when form inputs are sparse. Today, Typeform leverages Scalestack for their core AI contact data enrichment use case, with expansion planned into additional AI features including agent-based products for sales development and user research. The system automatically classifies each submission as B2B or B2C, applying different enrichment strategies. B2B leads get company firmographics, headcount, funding data, and decision-maker context. B2C submissions receive personal data without irrelevant business fields. Scalestack products. The AI workflows deployed for Typeform leverage a series of Scalestack modules including: * Agentic Waterfall Enrichment: AI agents autonomously search, validate, and cross-reference data across multiple sources to find accurate matches * Data Sources Endpoints and third-party providers: To ensure data is accurate and up to date, the AI agent doesn't rely on a single source of information, it cross-references data from multiple providers and then validates it through its quality assurance process. * Custom Enrichment Workflows: 43 configurable properties that users can select or not, providing the flexibility to enrich only the data points relevant to their specific business needs. The properties, which represent the data points its agents operate on, were previously defined by the Typeform team. These are the same properties that their customers can select today within the platform to be enriched according to their use cases. * Real-Time API: Less than 3 second response times enable in-form personalization and real-time routing * B2B/B2C Classification: Automatic detection determines lead type and applies appropriate enrichment strategy Data Quality agent validation layer. Following enrichment, Scalestack runs a post-processing Data Quality (DQ) agent designed to verify whether the enriched profile truly corresponds to the original input entity. This layer evaluates cross-signal consistency across name, email, company, domain, country, and supporting third-party evidence. Rather than validating a record based solely on the presence of returned data, the DQ agent assesses whether multiple identity signals align logically and consistently. It detects mismatches, conflicting attributes, and weak attribution patterns to prevent false positives from being classified as valid enrichment. * Valid Match - Strong multi-signal alignment confirms the enriched profile corresponds to the intended entity. * False Positive - Clear evidence indicates the enriched data belongs to a different individual or organization. * Could Not Verify - Insufficient or inconclusive evidence to confidently confirm or reject the match. This conservative validation layer prioritizes identity accuracy over raw match rate and serves as a structured feedback mechanism to continuously refine agentic matching logic over time. Key benefits & results. * Real-time form personalization: Enrichment completes fast enough to customize form flows mid-submission * Intelligent lead routing: B2B prospects automatically surface for sales, others route to self-serve * Eliminated manual research: Users no longer spend hours enriching leads before first contact * Scalable unit economics: Modular architecture allows different enrichment tiers for different customer segments * Reliable Match Rate and Data Quality: reaching 92% for B2B and 71% for B2C based on real product usage Next steps. After Typeform's Winter Product Release in February '26, both companies are exploring how Scalestack's agentic platform can power additional AI features, including agent-based products for sales development and user research, such as configurable agentic enrichment workflows for different customer segments. Assets. Reliable Match Rate and Data Quality reaching 92% for B2B and 71% for B2C based on real product usage Real-time form personalization Enrichment completes fast enough to customize form flows mid-submission Eliminated manual research Users no longer spend hours enriching leads before first contact Get the AI engine that fuels your next phase of growth. You knew there had to be a better way Request an AI summary of Scalestack