2024 was a transformative year for us, and we have evolved significantly from what we thought we would be at the start of the year. Through the last year, we iterated constantly, navigated a ton of challenges, faced quite a few failures, and came out strong - all for a transformative year ahead. Read more on our 2024 journey here.

As we step into 2025, we’re more committed than ever to building one of the most valuable AI x Web3 use cases: on-chain personalization. Here’s a glimpse of what’s in store for Lucidity in 2025.

Our focus in the first quarter is to solidify the foundation for Lucidity’s recommendation engine and ensure its utility is validated by real-world use cases.

• Asset and protocol-level prediction models: Build and distribute the first set of prediction models, initially focused on DeFi use cases, given the highest demand and data availability. We already have the first set of models built.

• Foundational data pipelines: Build scalable pipelines for ingesting and processing on-chain and off-chain data in real time. Data and feature engineering pipeline is the arterial network that plugs into all our modelling workflows.

• Recommendations framework: Finalize the vectorization architecture for personalized recommendations, enabling real-time matching of protocols, wallets, and assets.

• Content and community: Publish technical documentation regarding model architecture and performance, case studies, and thought leadership blogs in collaboration with our infrastructure partners and contributors, in order to support early adoption.

With the foundations laid, we’ll shift gears to expanding our model capabilities, onboarding early adopters, and creating deeper community engagement.

• Wallet-level insights and risk profiling: Extend prediction models to include wallet-level behaviours to understand preferences and map patterns.

• Matching engine MVP: Deploy the first iteration of the matching engine, enabling two-way recommendations for specific use cases like DeFi strategies and portfolio management.

• Scale adoption: Onboard 20-30 early adopters, including DeFi protocols, AI agents and agentic platforms, and DAOs, to test and expand the initial recommendations use cases.

• Scalable system architecture: Build microservices-based architecture for real-time responses and scalable data pipelines, allowing teams, builders, researchers, and AI agents to directly consume the models. Also integrate with multi-chain ecosystems, enabling cross-protocol recommendations and insights.

By the end of 2025, we aim to transition from niche, usecase-focused matching engine to a general-purpose on-chain recommendations layer, setting the stage for Web3’s hyper-personalized future.

• Multimodal fusion: Enable modular fusion of models, allowing users and builders to select and combine prediction models to fit their specific use cases. This would mark our transition into a general-purpose framework, capable of serving diverse needs.

• Consumer focus: Build a retail-friendly interface that allows individual users to directly pick and customize models, create personalized strategies, enable real-time notifications, and even execute transactions directly through Lucidity.

• Ecosystem growth: Open source models training pipeline for community contributions in order to expand model capabilities, foster adoption and explore more usecases.

The overarching goal is to empower every individual with plug-and-play tools for optimizing their on-chain interactions, making Lucidity the go-to platform for personalized onchain experiences.

• Feedback loops: Building onchain personalization starts with consuming targeted feedback. We’ll continue establishing more processes to collect real-world data from our users/partners to refine models iteratively.

• Community and partnerships: Collecting feedback and building in order of demand naturally requires extensive collaboration with our community of users and partners. We will conduct multiple hackathons, open access to our models, and continue publishing research content to push AI x Web3 boundaries.

• Team expansion: Building the awesome future required an awesome team. We’ll be expanding our capabilities across ML research, data science, architectures design, and UX research.

The need for tailor-made experiences in Web3 has never been clearer, with the current one-size-fits-all user experience limiting adoption and engagement. Lucidity is on track to tackle this mammoth task by building an engine capable of understanding and personalizing every on-chain interaction—from DeFi and NFTfi to SocialFi and Governance.

We would like to take this opportunity to thank all our partners and supporters for all the help so far. Weather you are a protocol, DAO, trader, AI agent builder, or a curious George excited about the new era of possibility unlocked through personlizes onchain UX, please reach out - we’re always looking for more ideas and feedback.

Here’s to making personalized experiences the norm in 2025! 🚀