Sapient Intelligence Launches Autonomous AI R&D System PRAXIST
KUALA LUMPUR, Aug 28 (Bernama) -- Sapient Intelligence has launched PRAXIST (Beta), an autonomous artificial intelligence (AI) research and development (R&D) system that takes on complex technical problems and independently tests and validates potential solutions.
Sapient Intelligence Co-Founder, William Chen said PRAXIST is designed to provide organisations with additional research capacity, enabling them to explore problems with a breadth and speed that would otherwise require significantly greater specialist resources.
While AI has rapidly accelerated productivity in content generation and other well-defined workflows, R&D remains inherently difficult to automate and scale, according to the Singapore-headquartered artificial general intelligence research company in a statement.
Breakthroughs require testing multiple hypotheses, learning from successes and failures, and continuously determining which paths to pursue. Organisations must address this while balancing specialist expertise, time, cost and infrastructure.
The system addresses this challenge as an R&D capacity multiplier, independently exploring which technical approach can best achieve a measurable objective. Users define the goal, parameters, and budget, while PRAXIST autonomously experiments and evaluates the strongest solution.
In 49 of 75 challenging Kaggle competitions from MLE-Bench, PRAXIST achieved the highest-level result at an approximate recorded model cost of US$3,000, compared with 34 highest-level results for Claude Code at approximately US$38,000 under the same evaluation conditions. (US$1=RM4.02)
MLE-Bench is a benchmark designed to test how well AI systems tackle complex, real-world machine learning problems.
PRAXIST deploys multiple autonomous research peers to explore approaches in parallel, test hypotheses, investigate failures, and validate promising results. It uses a generation-layered research graph that preserves what every experiment teaches and constructs stronger solutions from discoveries made across branches.
For organisations with limited AI or machine learning capabilities, PRAXIST can provide an AI research layer alongside existing domain expertise, while for sophisticated teams, it can augment existing capabilities and increase the scale and breadth of R&D.
Sapient Intelligence added that PRAXIST can also operate with proprietary data in private or customer-controlled environments, giving organisations greater control over their research infrastructure and sensitive intellectual property.
-- BERNAMA