Wishtree at Cypher 2026: Driving Enterprise AI forward
Cypher is the definitive pulse-check on Indian enterprise AI. As a team deeply embedded in building and scaling production-ready AI solutions, we’re heading to the 10th edition to share what’s working, tackle what isn’t, and showcase how Wishtree is shaping the next wave of enterprise innovation.
About
Cypher 2026
Wishtree is proud to attend the 10th milestone edition of Cypher, India’s flagship AI summit organized by Analytics India Magazine.
- Oct 7–9, 2026
- KTPO Whitefield, Bengaluru
- 5,000+ attendees | 150+ speakers | 100+ exhibitors | 25+ countries
- 50+ sessions, satellite workshops, and the annual AI Awards celebrating impactful contributions across research and enterprise adoption.
What we bring to the table
- Practical playbooks for shipping secure, scalable AI in production
- Curated discussions to accelerate your enterprise AI roadmap
- No-hype insights: what works, what fails, and what is coming next
- Production-ready architectures for deploying LLMs and agentic workflows
- Strategic guidance on model evaluation, governance, and latency optimization
- Real-world engineering frameworks to reduce token costs and compute overhead
- Direct access to Wishtree leadership for custom enterprise AI co-development
- Proven patterns for integrating proprietary enterprise data with foundational models
- Risk mitigation strategies for hallucination management, data privacy, and IP protection
- Pragmatic advice on building internal AI capabilities versus leveraging off-the-shelf tooling
- Practical playbooks for shipping secure, scalable AI in production
- Curated discussions to accelerate your enterprise AI roadmap
- No-hype insights: what works, what fails, and what is coming next
- Production-ready architectures for deploying LLMs and agentic workflows
- Strategic guidance on model evaluation, governance, and latency optimization
- Real-world engineering frameworks to reduce token costs and compute overhead
- Direct access to Wishtree leadership for custom enterprise AI co-development
- Proven patterns for integrating proprietary enterprise data with foundational models
- Risk mitigation strategies for hallucination management, data privacy, and IP protection
- Pragmatic advice on building internal AI capabilities versus leveraging off-the-shelf tooling
Highlights of 2025
