Investor FAQ

Questions this doc answers

Where is Reflect today in terms of pilots, revenue, and deliverables?
What is the long-term thesis (AI-native async diligence, session-initialization briefings)?
What defenses exist vs Mem0, Supermemory, and internal builds?

Traction snapshot

Production API – api.reflectmemory.com (Railway).
Integrations – ChatGPT, Claude, Cursor, Gemini, Grok, n8n connectors live.
Pilots – A healthcare technology company (NDA signed, pilot scope in progress), a 500-person contact center SaaS (air-gapped pilot, egress disabled).
Investor conversations – A venture studio with a $17M mid-market pipeline (alignment in progress).
Documentation – Architecture docs, question bank from transcripts, /diligence bundle for async review.

Moat & Thesis

Async technical diligence stack – documentation, question bank, and prompts all optimized for AI ingestion. Investors can paste the /diligence hub into their AI and see deterministic, actionable answers.
Infrastructure layer – not an app. Reflect is the substrate under the AI tools, meaning it is required before teams can have persistent organizational memory.
Deployment moat – private, air-gapped deployments with guardrails such as RM_DISABLE_MODEL_EGRESS, RM_ALLOWED_MODEL_HOSTS, SSO, audit trail, and separated rate limits.

Reference prompts & docs

/diligence/technical-faq for architecture clarity.
/diligence/security-compliance for compliance & telemetry.
/diligence/deployment-architecture for pilot roadmap.
/diligence/competitive-differentiation for differentiation.
/diligence/positioning for messaging pillars and what not to say.

Use the prompt:

Walk through Reflect Memory’s async diligence docs and question bank. Identify product risks, pilot milestones, competitive differentiation, and traction. Outline what to validate live vs async.