Transform real‑world assets into on‑chain tokens with compliant RWA tokenization infrastructure and programmable ownership. Enable institutions, asset managers and fintechs to digitize assets, unlock liquidity and offer transparent, blockchain‑based investment products. •End‑to‑end tokenization of real‑world assets including real estate, commodities, invoices, revenue streams and financial instruments. •Fractionalized ownership models that improve liquidity, lower ticket sizes and expand access for global investors. •Tokenized primary and secondary markets with KYC/AML controls, on‑chain settlement and transparent price discovery. •Integration with DeFi protocols, custodians and wallets to enable lending, staking and yield strategies on tokenized RWAs

Design and operate computer-vision systems for image, video, and document interpretation, using strong MLOps techniques. From data engineering and dataset versioning to automated training, CI/CD, and deployment, Storygame makes sure your models are reusable, observable, and performant at scale •Data collection, labeling and augmentation pipelines tailored for image, video and document datasets. •Deployment of computer‑vision models to cloud, edge devices and on‑prem systems with GPU optimisation. •Integration with existing applications, APIs, CCTV systems and data warehouses for real‑time inference. •Continuous evaluation dashboards for accuracy, latency, and business KPIs across environments. •Governance, access control and audit trails for compliant AI operations in regulated industries.

Create customized LLM pipelines and production-ready generative AI applications for conversational AI, intelligent automation, autonomous agents, and content creation. To ensure that your AI operates safely and dependably in production, Storygame specializes in model selection, fine-tuning, RAG processes, and MLOps. •Custom LLMs for chatbots, copilots, support agents and knowledge assistants powered by enterprise data. •Generative AI for text, images and code to accelerate marketing, product design and gaming experiences. •End‑to‑end AI infrastructure, including data pipelines, vector databases, monitoring and continuous optimisation across cloud and on‑prem environments.

Create autonomous AI agents that can reason, plan and act reliably across APIs, SaaS tools and on‑chain protocols. These agents automate complex workflows, coordinate with each other and surface clear analytics so teams can safely monitor and control every action. •Task‑specific and general‑purpose agents for customer support, operations, trading, growth and research use cases. •Multi‑agent orchestration frameworks that let specialized agents collaborate, delegate tasks and share context. •Integrations with CRMs, ticketing systems, productivity suites, developer tools and Web3 protocols for end‑to‑end automation. •Token‑gated access, role‑based permissions and audit logs to govern which agents can read, write or transact on specific resources. •Real‑time dashboards and telemetry to track agent decisions, performance, costs and safety metrics.