Buying seats in ChatGPT, Claude, and Gemini will put your employees into a blank chat box they have to figure out. Discover elvex, the model-agnostic platform that prompts first.
The better way for AI+Employee collaboration is here.
Any model, any integration, any employee
Built around collaboration
Pay for usage, not seats — scale without the cost penalty
Institutional knowledge built in — no re-explaining goals, definitions, or workflows every session
Every employee logs in to a personalized, proactive workspace—not a blank page
Full usage analytics and IT governance
$30/user/mo — costs scale linearly with headcount
No awareness of your business context or data
Siloed — each employee starts from zero every time
Built for developers and power users, not the 90% of your workforce who will never write a prompt template
$30/user/mo — same per-seat trap at scale
Limited integrations with existing enterprise tools
No governance, audit trails, or cost controls built for enterprise IT
No shared organizational knowledge layer
Locked into Google ecosystem — limited flexibility
No shared organizational knowledge layer
Generic outputs with no team or role awareness
Workspace-level, not company-level — no cross-functional intelligence or governance layer
$30/user/mo on top of existing Microsoft licensing
Surface-level assistance — no deep business context
No governance controls for AI usage across teams
Optimizes for Microsoft's platform, not yours — Salesforce, Notion, your CRM, your data warehouse are all afterthoughts
What happens when AI is proactive.
Companies that stopped waiting for adoption and started seeing results.
"Replaced Copilot with elvex and cut AI costs by 50% while RFPs became 70% faster. Deployed company-wide in eight weeks."
MedTech — 2,000 employees
"Consultants embedded elvex across 72% of the workforce. Meeting prep time dropped 60%. One consultant described getting 'a few extra hours back every day.'"
Embark Consulting
"From 'we should do something with AI' to a fully shipped customer-facing product feature in 90 days."
Stacker
Book a market insights call with our CEO.
Not a demo. Not a pitch. Sachin shares what we're seeing across hundreds of AI deployments — what's working, what's not, and how companies like yours are solving it.
