Tools exist. Readiness doesn't.
Most enterprises have the AI tools. Very few have teams that can use them on real problems.
We train your entire team to work with AI, then put that learning to work on real problems inside a structured hackathon sprint.
We train your entire team to work with AI, then put that learning to work on real problems inside a structured hackathon sprint.
The gap between companies that build with AI and those that read about it widens every quarter. The question isn't whether to upskill. It's whether you can afford not to.
The gap between companies that build with AI and those that read about it is widening every quarter. The question isn't whether to upskill. It's whether you can afford not to.
Most enterprises have the AI tools. Very few have teams that can use them on real problems.
Generic AI training is forgotten by Monday. Building on actual internal problems sticks.
Hackathons are the fastest way to surface who can actually lead that shift.
The fastest teams go from problem statement to working prototype in a weekend.
Hands on AI development training using the tools your team already uses: copilots, agents, APIs. Zero to working prototype in a single session.
Built for
Practical AI fluency for business teams. No code required. Just faster, smarter ways to work, built around your actual workflows.
Built for
Not a slide deck. Not a certificate. Something your team actually built on a real problem.
Step 01
Live AI training using tools relevant to your team, with technical and non technical tracks in parallel.
Demos move from screen to desk in days, not weeks.
Step 02
Teams solve real problem statements from your business, sourced with stakeholders beforehand.
Ideas move from problem to prototype in hours, not quarters.
Step 03
More than 30 HackCulture copilots and domain experts keep teams unblocked through the sprint.
Expert help stays in the sprint, not in status meetings.
Step 04
Structured judging and a post event report with shortlisted solutions and next step recommendations.
Clear reports for leaders, not rough notes that need rewrites.

Engineers trained on Google ADK and Model Context Protocol to build and deploy advanced agentic AI applications, enabling multi agent collaboration and real world tool integrations, same day.

Convened 200+ engineers on 5+ real world problem statements across Finance, Wellness, and AI. Multiple prototypes are now productionised inside the Mphasis ecosystem.

Innovation programs for global financial services firms, surfacing builder talent, identifying deployable solutions, and building engineering culture from the inside out.
Share your team size, focus area, and timeline. We'll handle the rest.