Observed Signal · Feb 18, 2022 · Product Launch · Source: CMSWire · Impact: 2/5 · Sentiment: Positive
Clearbit Launches Data Activation Platform for B2B Marketers
Clearbit announced the launch of its new Data Activation Platform, available immediately to B2B marketing teams focused on demand creation, intent capture, and pipeline optimization. The platform combines B2B data and enrichment features, ideal prospect discovery, audience management, and real-time integrations and APIs. It leverages a database of more than 44 million businesses with over 100 firmographic and technographic attributes. Clearbit CEO Ross Moser said the platform enables teams to activate data across the entire funnel. Customers such as Codility and Grafana Labs reported benefits including personalized web experiences, reliable demographic data, and account-level insights integrated into Salesforce. The launch responds to a permanently shifted B2B landscape with more remote work and reduced utility of cookies as identifiers, making real-time intelligence about target markets increasingly important.
Product launch of a B2B data activation platform addressing cookie-less targeting challenges; relevant to MarTech but not a major industry shift.
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Key Takeaways & Evidence Grounding
- Clearbit launched its new Data Activation Platform, available immediately to B2B marketing teams.
- The platform includes B2B data enrichment, ideal prospect discovery, audience management, and real-time integrations and APIs.
- It leverages a database of more than 44 million businesses with over 100 firmographic and technographic attributes.
- Codility and Grafana Labs are named as customers using the platform.
- The launch addresses B2B marketing challenges from reduced cookie utility and remote work shifts.
Connected Companies & Entities
2 Entities mapped“Lucy Gamble, Director of Marketing Operations at Grafana Labs....”
“Clearbit has helped bring account level insights into Salesforce that provide enormous value for our reps....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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Treasure AI Launches Personalization Studio, New Pricing Model
Treasure AI announced Personalization Studio, a marketer-facing UI for building and managing real-time website personalization campaigns. The tool leverages the company's unified customer data and real-time decisioning, part of its Agentic Experience Platform (AEP). Personalization Studio aims to reduce marketers' dependence on technical teams by enabling campaign setup in about 10 minutes. The announcement was made at the Agentic World 2026 conference. Concurrently, Treasure AI introduced an engagement-based pricing model for email, tying costs to customer actions such as clicks rather than message volume. This move reflects a broader industry trend among martech vendors adapting pricing to AI-driven capabilities. Chief Product Officer Rafa Flores highlighted the bet on click-through rates, underscoring confidence in the platform's intelligence.
Reflection AI launches open-weight model Beam at lower compute cost
Reflection AI has launched Beam, its first frontier open-weight AI model, claiming it matches leading Chinese models like GLM-5.2 on reasoning benchmarks while using 3-4x less inference compute. The 501B-parameter MoE model (23B active) was trained on 23.8 trillion tokens and features a 1M token context window. It targets enterprises, public sector, and sovereign nations, with plans for 'AI factories' allowing customization on proprietary data. Reflection has raised ~$4.7B from backers including Nvidia and Sequoia, and signed compute deals worth over $7B (including a $6.3B deal with SpaceX) for Nvidia GB300 chips. Independent analyses place Beam around GLM-5.2 level, below DeepSeek V4 Flash on some benchmarks. Beam's weights (under Apache 2.0) and technical details will be released this month via hyperscalers and neoclouds. Additionally, Mistral released 'Mistral Large 4', a 1 trillion-parameter multimodal model. The article also covers the rise of personal AI assistants like Instinct (raising $1B in Series C) and Meta's Muse, alongside a16z's report on AI app adoption and public safety concerns.
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