Wald.ai Launches Contextual Data Loss Protection for AI Platforms, Closes $4Million Seed Round

Introduces Wald Context Intelligence, Enabling Businesses to Use AI Assistants Safely

Wald, Inc., the context intelligence company, ensuring the safe use of private business information across AI platforms, today unveiled its contextual AI and data loss protection platform, and announced it had closed a $4M seed round.

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“With its contextual intelligence, the product addresses a significant need in sanctioned company wide use of generative AI.”

The Wald Context Intelligence platform connects businesses with AI assistants like ChatGPT, Gemini, Claude and Llama while protecting confidential data and managing regulatory compliance. The platform is context-aware, accurately redacting private information in business conversations while significantly reducing false positives and false negatives compared to existing DLP solutions.

The Technology

Wald allows businesses to safely create content, generate code, or query documents, without exposing personally identifiable information (PII) or other proprietary data. The technology provides seamless access to leading AI models, as well as the ability to create secure Custom Assistants using internal knowledge bases.

All user data processed by Wald is end-to-end encrypted to ensure that no one can ever access the data, including Wald. Wald has found that almost a third of all business conversations it processes include confidential data.

Wald Context Intelligence operates inline and redacts any sensitive or proprietary information, inserts intelligent data substitutions so the AI model can return optimal results, and then repopulates the sensitive data before presenting the query response seamlessly to the user.

“The rapid adoption of AI technology necessitates that businesses ensure their confidential data remains private,” said Vinay Goel, co-founder and CEO of Wald.ai. “Contextual data protection is the smart way to keep sensitive data safe when using generative AI platforms. As companies face the risk of data leakage, the solution is not to block use of these platforms, but to put in place effective, user friendly guardrails to enable employee productivity.”

Wald is beneficial for industries with compliance requirements or organizations with large amounts of customer and proprietary data who use AI in their daily operations. Wald.ai allows generative AI to integrate into daily workflows, making it safe, accessible, affordable, and seamless for users. The Wald Context Intelligence platform is available as a B2B SaaS offering for business users as well as an API for developers. The platform includes an admin console for user management, audit logs and product usage metrics.

The Investors

The company’s seed round investors include:

• Inventus Capital, a seed-stage Silicon Valley venture fund led by successful entrepreneurs
• Entrada Ventures, led by proven founders and investors with a focus on early-stage enterprise and industrial technology companies
• Several prominent angel investors including executives from cybersecurity companies like Palo Alto Networks, Fortinet and HackerOne

Customers

Wald is already being leveraged by companies across healthcare, financial services, legal and other sectors. Customers include Kiavi who provides bridge l**** to real estate investors, and Suki, a leading provider of AI-powered voice solutions for healthcare.

“Wald.ai offers a thoughtful approach to securing employee AI conversations and safeguarding sensitive private data and our intellectual property,” said Donovan Bray, director of DevOps at Kiavi, Inc. “With its contextual intelligence, the product addresses a significant need in sanctioned company wide use of generative AI.”

“At Suki AI, we aim to increase employee efficiency with cutting-edge AI solutions while maintaining the highest standards of security,” said Jonathan Antonio, vice president of infrastructure at Suki. “Wald enables our employees to safely leverage leading AI models so they can reduce the time they spend on manual tasks.”

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