Private Markets, Angel and Secondary Investing, Sacra

Sacra

Bringing transparency to private markets so investors, founders, and employees can build on conviction.

Sacra delivers deeply researched insights on the private companies shaping tomorrow's markets. By surfacing the data, context, and operator perspective that are missing from private markets today, we help secondary buyers and sellers price equity accurately and unlock liquidity for the people building these businesses.

Private Markets, Angel and Secondary Investing

Bringing transparency to private markets so investors, founders, and employees can build on conviction. Sacra delivers deeply researched insights on the private companies shaping tomorrow's markets. By surfacing the data, context, and operator perspective that are missing from private markets today, we help secondary buyers and sellers price equity accurately and unlock liquidity for the people building these businesses.

Private Capital Markets

<ul><li>Foundation model companies OpenAI & Anthropic commoditized the first wave of vertical AI companies that reasoned over public data—like web PDFs, patents and earnings calls—with agentic products that browse the web, do deep research and build datasets, spurring the next wave of vertical AI companies that focus on integrating frontier models with vertical-specific workflows, embedded with proprietary telemetry that captures document diffs, user corrections & tool calls.</li><li>In highly-regulated, risk-averse industries, less than 1% of manual workflows have been replaced with AI as companies fear IP exposure through third-party models, unauditable changes to high-stakes documents, and AI-generated content they can't verify or trace back to source material, creating the opportunity for companies like Raycaster for biotech (Seed, Y Combinator) alongside bigger players like Harvey for law ($21M Series A, Sequoia) and Hebbia for finance ($30M Series A, Index Ventures).</li><li>Today&#39;s emerging vertical AI playbook: 1) embed engineers a la Palantir&#39;s forward-deployed model to build AI workflows and automate away manual processes, 2) hire domain experts as internal evaluators through a Mercor-like contractor network to tune &amp; improve outputs, and 3) capture customers’ usage data to continually improve the system.</li></ul>

Foundation model companies OpenAI & Anthropic commoditized the first wave of vertical AI companies that reasoned over public data—like web PDFs, patents and earnings calls—with agentic products that browse the web, do deep research and build datasets, spurring the next wave of vertical AI companies that focus on integrating frontier models with vertical-specific workflows, embedded with proprietary telemetry that captures document diffs, user corrections & tool calls.In highly-regulated, risk-averse industries, less than 1% of manual workflows have been replaced with AI as companies fear IP exposure through third-party models, unauditable changes to high-stakes documents, and AI-generated content they can't verify or trace back to source material, creating the opportunity for companies like Raycaster for biotech (Seed, Y Combinator) alongside bigger players like Harvey for law ($21M Series A, Sequoia) and Hebbia for finance ($30M Series A, Index Ventures).Today&#39;s emerging vertical AI playbook: 1) embed engineers a la Palantir&#39;s forward-deployed model to build AI workflows and automate away manual processes, 2) hire domain experts as internal evaluators through a Mercor-like contractor network to tune &amp; improve outputs, and 3) capture customers’ usage data to continually improve the system.

Levi Lian, CEO Of Raycaster, On Why Vertical AI Is Workflows First & Chat Last