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Shogi, but some of the pieces are wrong. Archers shoot without moving, spiders drag you in, hornets sting from range. 50 strange pieces, reshuffled every match.
An agent refunds $300, crashes before recording it, restarts, and refunds again. AXIOM makes that impossible: execution state and vector memory commit in one CockroachDB transaction.
An AI agent that makes sure someone actually checks on elderly residents living alone — and escalates to the secretary, then emergency contact, when nobody does.
Shared memory for humans and agents on CockroachDB. A record and its vector embedding commit in one transaction, recall in milliseconds, and humans approve the milestones that matter.
Agent memory that knows when it has expired. Cascade learns incident runbooks from experience, reuses them instantly, and refuses any runbook the moment the policy it was built on changes.
A calm safety companion for walks and rides. It notices a crash, a fall or when you stop moving, checks on you first, then calls your close circle with who, where and what happened.
Time-travel debugging for AI agents
AI-powered data cleaning with GitHub-style review. Upload messy files, get AI-generated rules reviewed by a 3-member AI committee, approve, and download production-ready clean data.
Your site was built for people. Retrieval agents like ChatGPT and Perplexity read it too, and most can't run your JavaScript. Agentis Lux shows what they actually see. Findings, not fixes.
TradeWizard helps people navigate uncertainty with confidence when money is on the line.
Smart, automated AWS backup and recovery made simple.
The usage-based billing backend every SaaS dreads building — on Aurora DSQL, so the meter never drops or double-counts an event. Metering to invoicing.
A thank you to the people who raised us, built into the cloud.
I modeled Bengaluru’s civic systems like distributed infrastructure and built an Elastic-powered observability platform for accountability.
This is my project
This is one of our project
This is one of the problem statement answer
Predict-Epidem uses AI and AWS to predict health outbreaks. After being global finalists in the AWS 10,000 AIdeas challenge, I’m bringing my expertise in architecture and impact to this hackathon.
Wildfire Watch: detect → dispatch → alert in <60s. NASA/CAL FIRE feeds, SageMaker-picked resources, SMS to residents in the blast radius. Every AI call guardrailed and audited before firing.
Autonomous AI agent that detects account takeovers in real time and responds in 4 seconds with built-in human oversight and explainable decisions.
“An autonomous network operations platform powered by AI agents that monitor infrastructure, predict failures, and trigger self-healing responses in real time.”