October 23, 2025

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search

Samaya's researchers create deep research systems that outperform existing frameworks while using a fraction of the tool calls with a simple and effective method for context management.

June 27, 2025

Samaya and Crunchbase Partner on Integration of Private Market Data

By integrating Crunchbase's extensive datasets directly into Samaya's Expert Intelligence Platform, we empower analysts to access deeper, real-time insights into private markets.

June 24, 2025

Spotting Gaps Before They Matter: How Samaya Enhances Answer Accuracy in Real Time

By automatically spotting and filling information gaps in real time, Samaya's self-correction engine helps users trust their AI research tool for high-stakes decisions.

June 11, 2025

Samaya raises Series A led by NEA with $43.5 million in funding

The round is joined by leaders in AI and financial services including Eric Schmidt, Yann LeCun, David Siegel, and Marty Chavez.

June 5, 2025

Criteria-Eval: Evaluating Long-form Answers to Complex Questions

A checklist-based evaluation framework that directly aligns with how expert users judge quality of long-form LLM-generated answers.

April 7, 2025

Promptriever: Elevating Retrieval Models with Instruction-Following Capabilities

Can your retrieval model follow instructions like an LLM? We answer this via our latest research work.

March 24, 2025

Evaluation of AI Agents at Samaya

What makes one AI agent better than another? We are building evaluation environments to measure performance on realistic and ambitious scenarios.

March 13, 2025

Causal World Models: Bridging AI and Human Expertise

At Samaya, we are pushing the boundaries of reasoning systems by building causal world models that are designed to predict and explain economic outcomes resulting from unseen events.

September 26, 2024

The best AIs will be constructed, not emergent

As we approach two years since the launch of ChatGPT, and with the recent launch of o1, the AI ecosystem is evolving into its next phase. The early excitement of pure foundation model building is seeing consolidation, and there is simultaneously a frenzy of activity on new AI applications and new AI capabilities to support them.

October 19, 2023

Can machines assist humans in verifying world knowledge?

For millennia humans have been producing knowledge. The advent of computers helped turn this knowledge into a digital format, and the web made it widely accessible, boosting progress and further knowledge creation. Search engines have dramatically increased the breadth and accessibility of information that we can use in our everyday decision making, much beyond the limits of books and conventional libraries.

August 3, 2023

Information overload: the challenges of expanding context windows in large language models

Language models have demonstrated impressive performance for a variety of applications and use-cases, but limitations remain—for example, it is difficult to add knowledge beyond their pre-training knowledge cut-off, and they may generate factually incorrect statements. Overcoming these shortcomings requires incorporating external knowledge into language models.

April 4, 2023

Does one large model rule them all?

The past 10 years have seen a constant stream of AI advances, with each new wave of developments enabling exciting new capabilities and applications. The biggest such wave has undoubtedly been the recent rise of a single, general AI model, for example LLMs, which can be used for an enormous diversity of tasks, from code generation, to image understanding to scientific reasoning.