
Haast is the AI engine for marketing compliance, built for enterprise marketing, legal, and compliance teams. It deploys AI agents that automate manual compliance work across the entire content lifecycle - from pre-publication review and approvals to continuous monitoring of live websites, social media, and partner channels. Unlike traditional compliance tools, Haast learns your organization’s unique risk tolerance and applies it consistently across all content, channels, and teams. This enables marketers to self-serve compliance and resolve issues before publishing, while giving legal teams faster, more reliable oversight without becoming a bottleneck.
Haast analyzes text, images, PDFs, video, and web content to identify real regulatory and brand risks, providing clear, actionable fixes. It supports both pre-launch checks and always-on monitoring, helping enterprises detect issues early and reduce exposure to regulatory fines or reputational damage. Built for complex, regulated environments like financial services, retail, telecommunications and gaming, Haast adapts to internal policies, approval workflows, and evolving regulatory requirements across regions and business units. By embedding directly into end-to-end workflows, it replaces slow, manual review processes with scalable, automated compliance infrastructure. The result is faster go-to-market, reduced compliance risk, and a more efficient way for marketing and legal teams to work together.
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CRM is the largest enterprise software category in the world—yet for most organizations, the investment never translates into proportional revenue. The reason is rarely the technology. It's adoption. When reps see the CRM as overhead, data quality erodes, forecasts drift, and the system meant to drive revenue becomes a cost center.
Coevera (formerly Pipeliner CRM) is the AI-native CRM engineered to fix that gap. By building development directly into the daily selling workflow, Coevera earns the adoption legacy platforms can't—because the system makes reps better, not just busier. Higher adoption means cleaner data, and cleaner data means forecasts you can actually take to the board.
For revenue leaders, the outcomes are concrete: a visual pipeline that flags risk and stalled deals before they slip, embedded account management and buying-center mapping to win larger strategic deals, and a revenue-intelligence loop that drives predictable revenue and forecast accuracy. The Automatizer workflow engine removes administrative drag, while native Model Context Protocol (MCP) support connects Coevera to your AI stack with full role-based permissions and no custom middleware—keeping IT and security onside.
Time-to-value is measured in weeks, not quarters, lowering implementation risk and accelerating ROI. And because every capability amplifies human judgment rather than replacing it, you protect the relationships and expertise that close deals.
For organizations that need CRM spend to show up in revenue, Coevera is the platform built for what's next.
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LexCheck
Cutting-edge AI technology equips users with attorney-level negotiation capabilities, featuring multi-round reviews, automated redlining, fallback playbooks, and instructional support, all of which streamline the transition from contract creation to final approval. This innovation dramatically accelerates the negotiation and markup process, enabling rapid reviews that can occur in near real-time. By shortening deal timelines, it not only leads to significant cost reductions but also enhances the overall efficiency of procurement workflows. Employing data-driven insights allows for improved review strategies, effectively addressing edge cases while integrating valuable feedback. Furthermore, it reduces potential risks by maintaining compliance with both organizational mandates and industry standards through AI-driven adherence to established playbook protocols. LexCheck AI is pre-equipped with well-recognized negotiation best practices suitable for various common contract types. Our expert team stands ready to assist in tailoring the system to fit your specific playbook guidelines, requiring fewer than 24 training examples to do so. This customized approach guarantees that your contract negotiation process is both efficient and adept at fulfilling your particular requirements, ultimately fostering a more streamlined operational experience. With these capabilities, organizations can expect not only improved negotiations but also a strengthened competitive edge in their respective markets.
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CipherBC
CipherBC is a sophisticated digital asset management system meticulously crafted to deliver institutional-level multi-party computation (MPC) wallet and custody solutions, safeguarding and managing digital assets through advanced security protocols and automated workflows. The platform boasts a centralized command interface that harmoniously incorporates various custody options, including hot, warm, and cold wallets, along with a workflow management system that employs policy-driven approval processes and MPC security to ensure that private keys are never entirely reconstructed during transactions. Furthermore, it supports seamless interoperability with a wide range of protocols and tokens, offering adaptable custody solutions that feature customizable team management, role-specific authorization, and integration with third-party decentralized applications (dApps). Among its diverse offerings, CipherBC includes the MPC Wallet Suite, a Wallet as a Service (WaaS) model, and secure custody solutions designed for swift automated transactions, enhanced approval oversight, and accessibility across both desktop and mobile interfaces, presenting a holistic strategy for digital asset management. By merging state-of-the-art technology with features tailored to user needs, CipherBC aspires to set new benchmarks for security and operational efficiency within the digital asset landscape, ultimately empowering institutions to navigate this evolving space with confidence. With its commitment to continuous innovation, CipherBC is poised to adapt to the ever-changing requirements of digital asset management.
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