Experienced AI leaders.
Practical business partners.
Built by leaders who have delivered AI at companies ranging from startups to leading AI companies — and now help organizations do the same.
Our Focus
We founded Lift AI after seeing the same challenge again and again.
Organizations weren't struggling to find AI tools.
They were struggling to adopt them successfully.
Technology is only one part of AI transformation.
The harder part is aligning leaders, managing risk, changing workflows, and helping people embrace new ways of working.
That's where we focus.
What we bring
Supportive, agile leadership
We lead your internal tech and data teams using an approach that respects their existing workflows.
Pragmatic over flashy
We strip away confusing features and match tools to actual daily habits, using real feedback from pilot teams.
Built to hand back
Clean documentation, jargon-free training and lasting independence for your in-house specialists.
Our philosophy
We measure success by what happens after we leave.
Anyone can recommend AI initiatives.
Our job is to help your organization build the confidence and internal capability to continue without us.
That means:
- Working alongside your teams
- Keeping solutions practical
- Respecting existing processes
- Sharing knowledge throughout the engagement
- Building independence—not dependency
Founders
Rachel Batish
CEO and Founder
Rachel brings 15+ years leading AI-powered products at leading AI companies and startups, bridging strategy, operations, and delivery. She has built AI platforms for automation, knowledge systems, and evaluation infrastructure, while operationalizing governance and risk frameworks. She specializes in translating emerging AI capabilities into practical business outcomes - balancing innovation with operational realities and measurable value.
Neta Snir
CTO and Founder
Neta is an elite Data Science executive who specializes in architecting AI strategies and scaling technical infrastructures for groundbreaking products. She brings together deep tech, human-to-machine interaction, and commercial business goals. Her decade-long track record includes building high-performing, cross-cultural teams and embedding advanced GenAI, LLMs, and predictive analytics into highly regulated sectors like healthcare and finance.