Artificial intelligence enters a new era. Sentient, startup financed by the Founders Fund by Peter Thiel, launches Open Deep Search (ODS), an Open Source research system which clearly exceeds the performance of market leaders like GPT-4O of Openai and Perplexity.
A higher performance that upsets the AI giants
Sent, startup supported by the Funders Fund by Peter Thiel, has just taken a decisive step in the ecosystem of artificial intelligence.
On April 2, 2025, the company has revealed Its Open Deep Search (ODS) framework, an entirely open source IA research system. This innovation has not gone unnoticed, since it immediately demonstrated performance higher than those of giants in the sector.
The tests carried out on the benchmark “Frames” are particularly revealing of this advance. This benchmark, which assesses the billing, recovery of information and the reasoning of AI models, placed ODS in mind with an impressive precision of 75.3%.
In comparison, Chatgpt-4o Search Preview of Openai only reached 50.5%, while Perplexity Sonar Reasoning Pro capped at 44.4%.
To guarantee the integrity of these results, Sentient took care to isolate his researchers from the sets of framing tests throughout the evaluation process.
But as Himanshu Tyagi, Co -founder of Senient and professor at the Indian Science Institute: points out:
An independent verification is only necessary for solutions to a closed source code. With our open source approach, anyone can execute our code, reproduce our results and check their accuracy.
An innovative economic model that reconciles open source and monetization
The democratization of AI represents the heart of the philosophy of Sentient, but the company has also resolved one of the major challenges in the sector: how to effectively monetize an open source model without compromising its accessibility.
Sentient offers a unique solution with its fingerprint technology, allowing developers to protect their intellectual property while maintaining the fundamental opening of the model.
This ingenious system responds directly to the dilemma which hitherto strengthened the massive adoption of open source solutions in the field of AI.
“” AI should belong to the community, and not be controlled by closed source code companies “Says Tyagi. “” We build, monetize and provide an open source AI with a key principle: singularity in intelligence, but plurality in use cases. »»
This strategic positioning has already aroused considerable interest, with more than 1.8 million registrations on the waiting list even before the official launch of the platform.
Last February, Senient also carried out one of the most important NFT creation campaigns, allowing more than 650,000 participants to acquire a fractional participation in its AI models.
Sewoeong Oh, principal researcher at Sentient and professor at the University of Washington, perfectly sums up the ambition of the company:
With suitable architecture, open source models can easily surpass giants of closed software. The results of these benchmarks validate our mission: to create an open ecosystem that benefits all the developers and users of AI.
The beginning of a new era for artificial intelligence
The emergence of Sentient and its ODS framework is part of a broader trend in questioning dominant proprietary models.
This advance potentially marks a decisive turning point for industry, where open source solutions are starting to demonstrate their ability to compete, even surpass, closed platforms established as Openai or Perplexity.
This breakthrough is part of a context of radical transformation of the AI landscape.
While Openai attracts $ 40 billion in SoftBank investment and reaches a record valuation of 300 billion, open source solutions like Sentient and Deepseek R1, Chinese model with remarkable performance, jostle the status quo with fractional costs of use.
In short, this confrontation between surfined proprietary models and efficient open source alternatives redraw the economic contours of the sector. The simultaneous rise of these opposite approaches suggests a new era where accessibility and technical performance could take precedence over centralized business models, questioning the dominance of the American giants of AI.
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