Real Agents, Real Problems
We built 22 working AI agent demos to prove a point: autonomous agents are not a research curiosity — they are production-ready tools that solve real business problems today. Each scenario in our showcase is a fully functional application, built end-to-end by Marviy's AI-native process, running on HatiData (our Agent Data Fabric platform).
Here is an overview of what you will find, grouped by industry.
Finance & Trading
- Portfolio Rebalancer — An agent that monitors drift from target allocations and executes rebalancing trades within risk constraints.
- Compliance Monitor — Watches transactions in real-time, flags suspicious activity, and generates regulatory reports.
- Options Pricing Engine — Calculates fair value using multiple models and surfaces arbitrage opportunities.
Healthcare & Life Sciences
- Clinical Trial Matcher — Matches patients to eligible trials based on medical history, diagnoses, and inclusion criteria.
- Medical Records Summariser — Extracts key findings from unstructured clinical notes and produces structured summaries.
- Drug Interaction Checker — Cross-references prescribed medications against known interactions and contraindications.
Legal & Compliance
- Contract Reviewer — Reads contracts, identifies unfavourable clauses, and suggests amendments aligned with your legal playbook.
- Regulatory Change Tracker — Monitors regulatory feeds and alerts teams when changes affect their compliance posture.
Supply Chain & Manufacturing
- Demand Forecaster — Predicts demand patterns using historical data, seasonality, and external signals.
- Quality Inspector — Analyses sensor data from production lines and flags anomalies before defects reach customers.
- Inventory Optimiser — Balances stock levels across warehouses to minimise carrying costs while preventing stockouts.
Developer Tools & DevOps
- Code Review Agent — Reviews pull requests for bugs, security issues, and style violations.
- Incident Responder — Triages production alerts, correlates with recent deployments, and suggests remediation steps.
- Documentation Generator — Reads codebases and produces API documentation, architecture guides, and onboarding materials.
What Powers These Agents
Every scenario in the showcase leverages key capabilities from HatiData's agent platform:
- Agent Memory — Long-term SQL and vector-based memory that persists across sessions, allowing agents to learn and improve over time.
- Chain-of-Thought Audit — Immutable, hash-chained reasoning traces that provide full transparency into every decision an agent makes.
- Semantic Triggers — Event-driven hooks that fire when an agent's reasoning matches specific concepts, enabling real-time oversight.
- State Branching — Zero-copy branching that lets agents explore alternative strategies without affecting production data.
These are not toy demos. They handle real data, make real decisions, and produce real outputs. Visit our Showcase to see them in action, or start your own project and let our agents build something for you.