Private Markets, Angel and Secondary Investing, Sacra

Sacra

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>Sacra estimates that OpenEvidence hit $300M in annualized revenue in July 2026, up from $150M at the end of 2025.</li><li>OpenEvidence grew from $7.9M in annualized revenue at the end of 2024 to $150M at the end of 2025, up approximately 1,800% year-over-year, with reported 90% gross margins.</li><li>OpenEvidence’s latest $250M raise in September 2026 valued the company at $15B, implying approximately 50x its $300M annualized revenue.</li></ul>

Sacra estimates that OpenEvidence hit $300M in annualized revenue in July 2026, up from $150M at the end of 2025.OpenEvidence grew from $7.9M in annualized revenue at the end of 2024 to $150M at the end of 2025, up approximately 1,800% year-over-year, with reported 90% gross margins.OpenEvidence’s latest $250M raise in September 2026 valued the company at $15B, implying approximately 50x its $300M annualized revenue.

Semiconductor & Technology Specialist, Ingenuity

William Keating

Semiconductor & Technology Specialist

Ingenuity

Our focus is exclusively on in-depth research & consulting in the broader semiconductor industry. We focus on the key players, namely Intel, Micron, Qualcomm, Apple, Samsung, NVIDIA, AMD, TSMC & Global Foundries - as well as some of the lesser known, but nonetheless critical, companies such as ASML (for EUV), Mellanox, Cavium, Xilinx etc. We specialise in their products, roadmaps, process technologies, competitive advantages & threats etc. We also help our clients understand the implications of new and emerging technologies, e.g. 3D X-Point, 3D NAND, Carbon Nanotubes, Autonomous Driving, Graphene, Silicon Photonics, Wafer-Level Optics, Artificial Intelligence, FPGA, GPU, ASIC etc. 

Semiconductor Analysis & Research

Equity Bottom-Up

<ul>
<li>
Frontier AI Labs: Pausing, pacing, those are all the voluntary things that they could do if they feel that their company is out of control.</li>
<li>
President Trump: And I’m telling you, it’s all a hoax. The data centers are great and they make people wealthy and they make states wealthy</li>
<li>
Jensen Huang: I’d rather help everybody succeed instead of taking a slice out. And so we would go up as far as we need to but as low as possible.</li>
</ul>



Frontier AI Labs: Pausing, pacing, those are all the voluntary things that they could do if they feel that their company is out of control.

President Trump: And I’m telling you, it’s all a hoax. The data centers are great and they make people wealthy and they make states wealthy

Jensen Huang: I’d rather help everybody succeed instead of taking a slice out. And so we would go up as far as we need to but as low as possible.


Jensen Huang Chats With President Trump @ The All In Summit. Key Takeaways & Full Transcript

HarmoniQ Insights

William Mann

Independent Insight Provider

At HarmoniQ Insights, we empower investors to enhance their investment strategies by integrating cutting-edge quantitative research processes and technologies. Our solutions provide access to leading quantitative data providers and services, tailored to align with each client’s unique goals. By bridging the gap between traditional investment approaches and advanced data-driven methods, we help clients gain a competitive edge through innovation in both process and technology.

Cross Asset Strategy

<ul>
<li>A fascinating lunch discussion with LLM engineer sparked an investigation into how AI models process information through vector spaces - revealing parallel but mechanistically different biases compared to human analysts </li>
<li>Built comprehensive framework mapping traditional financial biases against their LLM counterparts - showing how things like confirmation bias manifest differently (emotional investment vs statistical pattern reinforcement)</li>
<li>Result: Effective quant research requires understanding both human AND machine biases - can't just apply traditional risk controls to LLMs. Need tailored mitigations for how biases uniquely manifest in #AI.  </li>
</ul>


A fascinating lunch discussion with LLM engineer sparked an investigation into how AI models process information through vector spaces - revealing parallel but mechanistically different biases compared to human analysts 
Built comprehensive framework mapping traditional financial biases against their LLM counterparts - showing how things like confirmation bias manifest differently (emotional investment vs statistical pattern reinforcement)
Result: Effective quant research requires understanding both human AND machine biases - can't just apply traditional risk controls to LLMs. Need tailored mitigations for how biases uniquely manifest in #AI.  


Understanding LLM Biases in Quantitative Research: From Lunch Conversation to Framework

<ul><li>Sacra estimates that Harvey crossed $400M in annual recurring revenue (ARR) in August 2026, up from $195M at the end of 2025.</li><li>In September 2026, Harvey raised $550M at a $15.5B valuation, co-led by Diffusion and Lightspeed Venture Partners.</li><li>Harvey has tailwinds from the rapid advancement of LLM technology and growing enterprise acceptance of AI tools, with opportunities to expand beyond legal services into the broader professional services market.</li></ul>

Sacra estimates that Harvey crossed $400M in annual recurring revenue (ARR) in August 2026, up from $195M at the end of 2025.In September 2026, Harvey raised $550M at a $15.5B valuation, co-led by Diffusion and Lightspeed Venture Partners.Harvey has tailwinds from the rapid advancement of LLM technology and growing enterprise acceptance of AI tools, with opportunities to expand beyond legal services into the broader professional services market.

<ul>
<li>A Comprehensive Guide to Building AI-Powered Investment Systems: The application of Large Language Models (LLMs) in quantitative finance, focusing on the current state of LLM technology in financial applications </li>
<li>I also cover: 1. Comparative analysis of leading models                2. Implementation frameworks for production systems 3. Risk management and quality control considerations </li>
<li>Key Findings: 1. Multi-model approaches outperform single-model solutions 2. Production implementation requires robust quality controls 3. Model selection should be task-specific within the investment process </li>
</ul>


A Comprehensive Guide to Building AI-Powered Investment Systems: The application of Large Language Models (LLMs) in quantitative finance, focusing on the current state of LLM technology in financial applications 
I also cover: 1. Comparative analysis of leading models                2. Implementation frameworks for production systems 3. Risk management and quality control considerations 
Key Findings: 1. Multi-model approaches outperform single-model solutions 2. Production implementation requires robust quality controls 3. Model selection should be task-specific within the investment process 


The LLM Quant Revolution: From ChatGPT to Wall Street

United States

Anthropic, PBC operates as an AI safety and research company. The Company builds reliable, interpretable, and steerable AI systems. Anthropic serves customers in the United States.

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Anthropic (1892140D US)

Primer: OpenEvidence - 21 Sep 2026

AI copilot for doctors to assist in making critical decisions at the point of care

Sacra

Jensen Huang Chats With President Trump @ The All In Summit. Key Takeaways & Full Transcript

Jensen Huang: I’d rather help everybody succeed instead of taking a slice out. And so we would go up as far as we need to but as low as possible.

William Keating

Understanding LLM Biases in Quantitative Research: From Lunch Conversation to Framework

We are going to provide a full-blown update on LLMs through Q1 2025. In the meantime, we are still finding issues with 🤖 “Hallucinating on Drugs” –...

William Mann

Primer: Harvey - 16 Sep 2026

AI assistant for legal research and document review used by law firms and in-house counsel

Sacra

The LLM Quant Revolution: From ChatGPT to Wall Street

Please see the AI Agent Podcast explanation of this paper here: https://youtu.be/11A2tremqm0?si=VUMm6WhWGEQRRkNU If you enjoy this podcast, please...

William Mann

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