AI Research
Three Tiers of Intelligence
We are a team of AI-native engineers and researchers pushing the boundaries of what's possible with language models.
Our Mission
We are a team of AI-native engineers and researchers.
Back when BERT was still a lab experiment, we were already pushing language models to trade the news milliseconds after the headline broke. Today we design and train hybrid-architecture models, curate multimodal data (text, video, timeseries... even LiDAR), and build the curricula that turn raw tokens into reliable intelligence.
What are we actually chasing?
We see three tiers of "hard" for an LLM. Let be the parameters of a model and , be the input/output:
Known Knowledge
The model already knows. Most standard chatbots live here—responding from memorized knowledge.
Contextual Reasoning
The model can figure it out—if we hand it the right context. Most agentic frameworks and RAG systems fit this description.
Adaptive Learning
The model itself must change to solve the problem. This is fine-tuning—adapting parameters to new domains or tasks.
This is reminiscent of complexity hierarchies, i.e. . And the frontier keeps moving. As models grow stronger, Tier-2 tricks are collapsing into Tier-1 intuition, and Tier-3 retraining is turning into Tier-2 prompting.
We’re here to accelerate that motion until the gaps disappear.
Close the context gap: make world fact inferable from the prompt alone.
Close the training gap: make new skills learnable in-context.
One token at a time.
Investment
Scientific Investment Approach
Signal-focused asset management powered by AI-driven timing and disciplined portfolio execution.
Intelligence Infrastructure
- •Unified data foundation with point-in-time integrity and lineage, integrating structured market/fundamental datasets and unstructured/alternative content
- •AI timing engine spanning macro, industry, and style with interpretable allocation outputs
- •Representation-learning pipelines and scalable real-time architecture from research to execution, with validation and auditability
Investment Methodology
- •Generate decision signals under regime context and calibrate horizons
- •Translate signals into policy- and risk-constrained allocation tilts and construct portfolios accordingly
- •Execute with cost and liquidity awareness, monitor outcomes, and adapt through structured feedback
Performance
Proven Track Record
Our AI-driven investment strategies have consistently delivered superior returns while maintaining robust risk management.
Company Size
20 Professionals
and Duoduo, our in-house AI agent
AUM
Over USD 600 million
Total Managed Assets (Cross-Border)
AI Macro Index Product
CIMAREAI Index
Partnered with Citi Bank, published daily on Bloomberg
Research Credentials
Acclaimed High-Tech Enterprise
Partnerships across leading Chinese universities and research laboratories
Research
REALM Weekly
Timing the Cycle with Intelligence
REALM is Renaissance Era’s AI trading model — An in-house 30B LLM trained from scratch with deep search & reasoning, uniting new methods and scale with classical quant & finance to power a unified cross-asset end-to-end trading model.
REALM Weekly is our most valuable research output, summarizing the model's directional views and risk scenarios across global asset classes while tracking signal evolution and preferred exposures.
REALM Weekly 2025 August No.1
Brief excerpt about key views and signal evolution — concise highlights of directional views, shifting risk scenarios, and preferred exposures across global assets.
A recent REALM Weekly sample is available below. To receive future or past issues, please contact us.
About Us
Renaissance Era Investment
Leading the future of investment management through innovative technology and scientific approaches to wealth creation.
The Panda Story
The above images are generated from text prompts by the first version of REALM in 2022. (Yes—REALM is multimodal: it trades, it creates AIGC, and it powers scientific research.) Our founders adopted these panda-signed charts as profile photos across platforms, and the Panda quickly became our signature.
If you have connected to a panda in this style, you have found Renaissance Era.
Join Our Team
We welcome individuals who are committed to applying cutting-edge AI innovation methods to address the most advanced and complex challenges in global markets.
We seek researchers, engineers, and domain experts who value first principles, robust systems, and disciplined risk management.
Contact US
Email: contact@renaissance-era.com
Beijing Office:
36th Floor, Tower C, Huaxi International Center, No. 6 Jianguomenwai Avenue, Chaoyang District, Beijing, China 100022
Hongkong Office:
43F, Champion Tower, 3 Garden Road, Central, Hong Kong