Enable teams to chat with AI while guaranteeing end-to-end privacy and enclave-protected model execution

Enable teams to chat with AI while guaranteeing end-to-end privacy and enclave-protected model execution targets a $6.0B = 2M businesses × $3K ACV (annualized team-level subscription for privacy-first AI chat across SMB and mid-market) total addressable market with medium saturation and a year-over-year growth rate of 25% YoY growth in enterprise AI assistants and confidential computing adoption (industry reports and vendor growth, Gartner/Forrester 2023-2024 estimates).

Key trends driving demand: Confidential computing adoption is rising — enterprises are evaluating TEEs and enclave-based options to run third-party code without exposing plaintext, creating an opening for enclave-orchestrated AI services.; Regulatory and procurement pressure is increasing — security and compliance teams are demanding verifiable protections before allowing internal data to be processed by external AI services.; Open-source model quality and on-device runtimes are improving — making private, smaller-footprint LLMs viable for many team-assistant tasks and reducing reliance on large public model APIs.; Hybrid deployments are becoming the norm — buyers want flexible options (cloud enclaves, on-prem enclaves) that fit compliance needs while preserving ease of use for teams..