Mission
Move beyond chatbot demos and build the trust, coordination, memory, safety, and integration layers that enterprises actually need.
APRIL 10 - JUNE 13, 2026
HCLTech · MIT Media Lab
Build a system, tool, or layer that fixes a real bottleneck in how AI agents are deployed, coordinated, or scaled.

A high-signal hackathon for teams building practical infrastructure for enterprise AI agents.
Move beyond chatbot demos and build the trust, coordination, memory, safety, and integration layers that enterprises actually need.
Two phases over ten weeks. Teams prototype, iterate with mentor feedback, and present at a final live event at MIT Media Lab.
You like shipping real systems, not just demos. Bring your stack and build the missing agent layers.
Test new ideas in production-like scenarios and get feedback from practitioners, judges, and mentors.
Have a real enterprise pain point? Turn it into a solution with measurable business impact.
Get direct input from technical and business leaders across enterprise AI and systems design.
Your work is judged on utility, robustness, and how well a stock agent can actually use it.
Top teams present at the final MIT event and gain visibility with leaders across the ecosystem.
Build solutions that can be used by real enterprise agents in real operational workflows.
Build agent infrastructure that solves real enterprise problems. On demo day, a judge hands a stock OpenClaw agent your instructions — if it can use what you built, you pass.
| Track | What It Builds | Pipeline Impact | Revenue Lever |
|---|---|---|---|
| Client 0 | Internal AI agents, copilots, productivity tools | Creates proven use cases + credibility | Faster deal conversion (proof-led selling) |
| Enterprise AI (incl. Modernization) | Client-ready solutions (SAP, legacy, agents) | Generates direct qualified opportunities | Large transformation deals ($$$) |
| Sales AI Enablement (Client 0 x Enterprise) | AI-powered account insights, RFP agents | Improves deal identification + win rates | Pipeline expansion + higher conversion |
| Responsible AI | Safety, governance, red-teaming solutions | Reduces enterprise adoption friction | Unlocks regulated industry deals (BFSI, healthcare) |
| Executive AI Coaching | AI copilots for CXOs + coaching model | Opens C-suite access + strategic deals | High-value consulting + transformation programs |
Top teams from Phase 1 enter head-to-head arena challenges. Agents compete live across six arenas — deploy, coordinate, trade, adapt, defend, and integrate — all under pressure.
| Arena | Challenge | Tagline | What It Tests |
|---|---|---|---|
| The Forge | Deploy or die — fastest production-grade agent deployment | Deployment speed & reliability | Infrastructure readiness |
| The Commons | Multi-agent coordination via shared memory | Collective intelligence that works | Coordination efficiency |
| The Bazaar | Agent economy — trade services, verify identity, settle payments | Trust no one, verify everything | Economic infrastructure |
| The Gauntlet | Rapid-fire unknown challenges — pure reasoning under pressure | Adapt or be forgotten | Generalization ability |
| The Wall | Survive adversarial attacks while completing tasks | Last agent standing | Security & resilience |
| The Throne | Full integration — deploy, coordinate, trade, and defend simultaneously | Rule them all | Grand champion |
The judging is simple and weighted toward substance.
Does it solve a real problem that developers actually have?
Is the implementation solid, thoughtful, and technically credible?
Is it easy to understand, adopt, and use?
Ten weeks, two phases, one final event at MIT
Students, builders, researchers, and professionals are welcome. Cross-functional teams are encouraged.
No. You can apply as an individual or as a team. Team matching support will be available before the build phase.
A working prototype, clear documentation, and a short demo that shows the problem, approach, and impact.
Projects that solve high-friction enterprise bottlenecks with practical, reliable, and testable agent workflows.