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Reflect Memory

Persistent organizational memory

Private context infrastructure for AI-forward enterprises.

Persistent organizational memory, deployed inside your network. Air-gapped or VPC. Six-week pilot. SOC 2 alignment in progress.

Last updated May 21, 2026 (UTC)

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When “just build it internally” isn't the answer.

Most enterprises consider building this in-house. Most underestimate what that actually means: vector store maintenance, retrieval tuning, embedding updates, compliance audits, ongoing security review. Reflect absorbs all of it.

Read the build-vs-buy case

Deterministic and AuditableMemories are written explicitly and retrieved deterministically. No ambient data collection, no hallucinated context, no black-box inference.

No ambient data collection

Every memory is written through a structured API with explicit intent. Nothing is inferred, scraped, or collected passively.

Single memory store, every AI tool

One persistent memory store, accessible to whatever AI tools your team is approved to use. Standardize organizational context without consolidating vendors.

MCP-native

First-class Model Context Protocol support. AI tools connect via MCP, REST API, or Custom Actions.

No vendor lock-in

Memories are portable across tools and providers. Switch AI vendors without losing institutional context.

Structured pilot processEvery enterprise engagement follows a scoped evaluation process designed for security review and procurement timelines.

01

Walkthrough

We scope your team’s use cases, deployment requirements, and security constraints. 30-minute call.
02

Structured pilot

Private instance on your infrastructure. Your team evaluates with real workflows. Typical pilot: 2–4 weeks.
03

Production rollout

Dedicated support for production deployment. Custom SLA, SSO integration, and ongoing account management.

What the first 90 days look like.

Most Reflect enterprise engagements follow this rhythm. Your timeline may compress or extend based on procurement and security review.

  1. 01
    Week 1Walkthrough and scoping

    30-minute call with your Champion, Security lead, and any technical stakeholders. We map your AI stack, the specific workflows you want memory to cover, and your deployment requirements. No demo theater. We want to understand whether Reflect is actually the right fit before we both commit time.

  2. 02
    Week 2Security review

    We send your Security team our architecture documentation, encryption posture, audit trail capabilities, and deployment options. Most reviews take 5-10 business days. We answer questions in writing and on calls as needed. If your Security team rejects the proposal at this stage, we end the engagement cleanly - no pressure.

  3. 03
    Weeks 3-5Private instance pilot

    We deploy a private instance on your infrastructure - cloud, isolated, or air-gapped, depending on your boundary. Your team uses Reflect for real workflows. Typically 5-15 users. We meet weekly to walk through usage, edge cases, and any friction. Success metrics defined upfront.

  4. 04
    Week 6Pilot review and LOI

    We share usage data, surface insights from your team's actual workflows, and discuss what production rollout would look like. If both sides want to proceed, we sign a Letter of Intent and start drafting the annual contract.

  5. 05
    Weeks 7-10Contract and procurement

    Annual or multi-year contract, billed upfront, Net 30. Your procurement team handles internal approvals. We provide whatever security documentation, references, or technical details your buying committee needs to close internally.

  6. 06
    Weeks 11-12Production rollout

    Full deployment to your team. Dedicated support contact. SSO integration. Custom SLA. Ongoing account management with monthly check-ins for the first quarter, then quarterly thereafter.

Who's involved

Champion (VP Eng, Head of AI, or CTO)Security gate (security team or compliance officer)Budget holder (CTO or CFO)

Every enterprise engagement involves these three roles in some form. We adapt to your internal process.

How does this compare to Mem0, Supermemory, and others?

Side-by-side capability matrix across 8 alternatives.

See the Comparison

Your infrastructure, your boundary

Same product across every deployment model. Choose the boundary that fits your security requirements.

Hosted
Isolated Hosted
Self-Host
Runs onReflect cloudDedicated instanceYour VPC / on-prem
Data residencyUS multi-tenantRegion of choiceYour infrastructure
Network boundaryPublic APIIsolated endpointAir-gapped capable
Model egressEnabledConfigurableDisabled by default
AuthAPI keys + OAuthSSO + API keysSSO + API keys + OIDC
Audit trailStandardExtendedFull, queryable, exportable
Tenant isolationLogicalProcess-levelPhysical

Defense-in-depth by defaultEvery layer designed for regulated environments. Your security team gets complete oversight.

Authentication

API key with timing-safe comparison · SSO / OIDC (Okta, Azure AD, Google, Auth0, Keycloak) · OAuth 2.1 with PKCE for MCP connections

Encryption

TLS in transit (enforced) · Operator-managed at rest (LUKS, EBS, CMEK) · Hash-only API key storage

Audit Trail

Every auth attempt, data access, admin action logged · Query, export, and prune capabilities · Configurable retention policies

Model Egress Control

Block all outbound AI provider requests · Restrict to internal model endpoints only · Self-host mode disables egress by default

Tenant Isolation

Dedicated storage volume per deployment · Tenant ID markers prevent cross-deployment access · Per-user data isolation within each deployment

Compliance

SOC 2 Type II alignment in progress · GDPR considerations built in · HIPAA-ready in self-host mode. Happy to walk you through our current security posture and roadmap.

Single-tenant by design

Every enterprise deployment runs as an isolated instance with its own process, database, and network boundary. No shared infrastructure with other tenants.

Self-host mode disables all outbound AI provider requests by default. Your security team controls which endpoints, if any, are reachable.

Built for organizations where AI context fragments across sessions, teams, and time - not just across tools.

Docker / Helm
Single container, env-based config, bootstrap script
Air-gapped capable
No telemetry, no phone-home, no external dependencies
Network isolation
Runs in your VPC, behind your firewall
MCP + REST + Actions
Three integration paths, same memory store
Compliance ready
SOC 2 Type II alignment in progress · GDPR · HIPAA alignment in self-host mode

Start with a structured pilot tailored to your stack

We deploy a private instance on your infrastructure and scope the evaluation to your team's security requirements and success criteria.

Read the Architecture
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