Meridian

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In most organizations, when someone leaves, their knowledge leaves with them. As organizations scale, context fragments across chats, CRMs, drives, and individuals’ memories, forcing teams to waste time recollecting what they already know. Meridian’s conversational AI agents extract the rationale behind decisions, unifying scattered knowledge into a single, searchable source of truth available across departments. This “second brain” can quickly answer questions based on internal data and proactively surface concerns to the organization.

Check it out: trymeridian.dev

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Meridian operates with a hybrid SaaS model, charging organizations on a per-seat, per-month basis for access to its platform. For teams, it offers programmatic access via API and MCP, enabling usage-based, pay-per-call pricing for large-scale or automated deployments.

• Raised $1 million from a16z speedrun

• Dropped out of YC F25 batch

Meridian currently has no official listings, but if you’d like exclusive access to opportunities, reply to this email.

Every organization runs on knowledge, but few realize how fragile that knowledge truly is. The reasoning and experience that power a company’s decisions live almost entirely in people’s heads. And when they leave, that context walks out the door with them. 

With teams becoming more distributed and suffering from accelerating turnover, the problem has been exacerbated. Research shows that knowledge workers spend up to 40% of their time searching for information that already exists, and 42% of job-specific expertise disappears when someone leaves. Companies’ bottom lines are also impacted, with Fortune 500 companies losing over $31.5 billion each year to organizational memory loss. Documentation isn’t a perfect solution, since institutional knowledge includes the unwritten rules and preferences that don’t fit neatly into Notion pages or training decks.

Industry giants have already begun confronting this internally. McKinsey’s Lilli aggregates over a century of firm IP and is now used by 70% of the firm’s 45,000 employees to retrieve the reasoning behind past projects. BCG has developed multiple generative AI tools, including GENE, its conversational chatbot. Meanwhile, Deloitte, PwC, and KPMG have been implementing their respective versions of internal agents. But these systems are bespoke, built for firms with thousands of engineers and billion-dollar budgets. For everyone else, institutional memory remains trapped in Slack threads, email archives, and people’s heads. In other words, companies are realizing that the greatest bottleneck isn’t access to data, it’s access to context. Every organization is racing to operationalize its proprietary knowledge, yet most lack a system that captures institutional reasoning in real time. 

Meridian solves this with its AI-native platform that transforms that tacit knowledge into structured, searchable intelligence. It provides this solution and more, as it concurrently builds a knowledge layer that defines a new category of enterprise infrastructure.

Meridian sits at the intersection of two unstoppable trends: the rise of AI-native workflows and the decentralization of work itself, and the scale of the opportunity is enormous. Meridian’s data shows that 30% of departing employees hold irreplaceable knowledge, equating to over $10 million in lost productivity for a typical 500-person firm. Across knowledge-intensive industries like professional services (which represent nearly $2 trillion of U.S. GDP), this loss compounds into one of the largest hidden inefficiencies in the economy. 

In a world where hybrid work and distributed teams have made onboarding and knowledge retention harder than ever, Meridian gives organizations the ability to remember.

• The State of Organizations 2023 [McKinsey & Co]

• Is Your Upskilling Program Paying Off? [BCG]

• A New Approach to Knowledge-Sharing Within Organizations [Harvard Business Review]

• Knowledge-based approaches to the firm: an idea-driven perspective [Industrial and Corporate Change]

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